causalities between co2 electricity and other energy variables during phase i and phase ii of the eu ets the topic of this article is the analysis of the interplay between daily carbon electricity and gas price data with the european union emission trading system eu ets for co2 emissions in a first step we have performed granger causality tests for phase i of the eu ets january 2005 until december 2007 and the first year of phase ii of the eu ets 2008 the analysis includes both spot and forward markets given the close interactions between the two sets of markets the results show that during phase i coal and gas prices through the clean dark and spark spread impacted co2 futures prices which in return granger caused electricity prices during the first year of the phase ii the short run rent capture theory in which electricity prices granger cause co2 prices prevailed on the basis of the qualitative results of the granger causality tests we obtained the formulation testable equations for quantitative analysis standard ols regressions yielded statistically robust and theoretically coherent results

pareto improving campaign finance policy this paper argues that campaign finance policy in the form of contribution limits and matching public financing can be pareto improving even under very optimistic assumptions concerning the role of campaign advertising and the rationality of voters the optimistic assumptions are that candidates use campaign contributions to convey truthful information to voters about their qualifications for office and that voters update their beliefs rationally on the basis of the information they have seen the argument also assumes that campaign contributions are provided by interest groups and that candidates can offer to provide policy favors to attract higher contributions

states and the business cycle abstract we model the us business cycle using a dynamic factor model that identifies common factors underlying fluctuations in state level income and employment growth we find three such common factors each of which is associated with a set of factor loadings that indicate the extent to which each state s economy is related to the national business cycle according to the factor loadings there is a great deal of heterogeneity in the nature of the links between state and national economies in addition to exhibiting geographic patterns the closeness of state economies to the national business cycle is related not only to differences in industry mix but also to non industry variables such as agglomeration and neighbor effects finally we find that the common factors tend to explain large proportions of the total variability in state level business cycles although again there is a great deal of cross state heterogeneity

price determination in the eu ets market theory and econometric analysis with market fundamentals abstract we investigate the price determination of the european union emission allowance eua of the european union emissions trading scheme eu ets we postulate an uncertain permit price and risk averse firms which have the possibility to hedge in the forward market the firms produce final goods abate their emissions and trade permits in the permit market the dependence of the equilibrium permit price on exogenous variables is studied in a permit market model we test our theoretical findings with empirical data from 2005 to 2010 in the eu ets market we use daily forward prices of eua as our dependent variable we use several econometric models with multiple stationary time series to discover that there is a strong relationship between the fundamentals such as german electricity prices and gas and coal prices with the price of eua we find that the eua forward price depends on fundamentals especially on the price of electricity as well as on the gas coal difference in a statistically significant way

differentiated bayesian conjoint choice designs previous conjoint choice design construction procedures have produced a single design that is administered to all subjects this paper proposes to construct a limited set of different designs the designs are constructed in a bayesian fashion taking into account prior uncertainty about the parameter values a computational procedure is developed that enables fast and easy implementation in practice even though the number of such different designs in the optimal set is small it is demonstrated through a monte carlo study that substantial gains in efficiency are achieved over aggregate designs

measuring heterogeneous reservation prices for product bundles this paper develops a model for capturing continuous heterogeneity in the joint distribution of reservation prices for products and bundles our model is derived from utility theory and captures both within and among subject variability furthermore it provides dollarmetric reservation prices and individual level estimates that allow the firm to target customers and develop customized and nonlinear pricing policies our experiments show that regardless of whether the products are durables or nondurables the model captures heterogeneity and predicts well models that assume homogeneity perform poorly especially in predicting choice of the bundle furthermore the methodology is robust even when respondents evaluate few profiles self stated reservation prices do not have any informational content beyond that contained in the basic model the direct elicitation method appears to understate overstate the variation in reservation prices across consumers for low priced high priced products and bundles hence this method yields biased demand estimates and leads to suboptimal product line pricing policy the optimization results show that the product line pricing policy depends on the degree of heterogeneity in the reservation prices of the individual products and the bundle a uniformly high price strategy for all products and bundles is optimal when heterogeneity is high otherwise a hybrid strategy is optimal

what explains the short term dynamics of the prices of co2 emissions using the vector auto regression var and the vector error correction models vecm this paper analyzes the short term dynamics of the prices of co2 emissions in response to changes in the prices of oil coal natural gas electricity and carbon emission allowances the results show that i a positive shock to the crude oil prices has a negative effect on the co2 allowance prices ii an unexpected increase in the natural gas prices raises the price of co2 emissions iii a positive shock to the prices of the fuel of choice coal has virtually no significant impact on the co2 prices iv there is a clear positive effect of the coal prices on the co2 allowance prices when the electricity prices are excluded from the var system and v a positive shock to the electricity prices reduces the price of the co2 allowances we also find that the energy price shocks have a persistent impact on the co2 allowance prices with the largest effect occurring six months after a shock strikes the effect is particularly strong in the case of the natural gas price shocks additionally we estimate that it takes between 7 3 and 9 6 months to halve the gap between the actual and the equilibrium prices of the co2 allowances i e to erase any price over or undervaluations after a shock strikes finally the empirical findings suggest an important degree of substitution between the three primary sources of energy i e crude oil natural gas and coal particularly when electricity prices are excluded from the var system

how competitive are eu electricity markets an assessment of ets phase ii this paper studies the interactions between electricity and carbon allowance prices in the year ahead energy markets of france germany united kingdom and the nordic countries during phase ii of the eu ets var and granger causality methods are used to analyze causal interfaces whereas the volatility of electricity prices is studied with basic and asymmetric ar garch models among the main results the marginal rate at which carbon prices feed into electricity prices is shown to be ca 135 in the eex and nord pool markets where electricity and carbon prices display bidirectional causality and 109 in the uk therefore generators in these markets internalized the cost of freely allotted emission allowances into their electricity prices considerably more than the proportionate increase in costs justified by effective carbon intensity moreover electricity prices in france are found to granger cause the carbon price this study also shows how european electricity prices are deeply linked to coal prices among other factors both in terms of levels and volatility regardless of the underlying fuel mix and that coal was marginally more profitable than gas for electricity generation eu policies aimed at increasing the carbon price are likely to be crucial in limiting the externalities involved in the transition to a low carbon system

exploring the price dynamics of co2 emissions allowances in china s emissions trading scheme pilots establishing regional emissions trading scheme pilots in china is a newly transformative and explorative practice in this paper we examine the spot price dynamics asymmetric clustering and regime switching behaviors of co2 emissions allowances in the new china wide emissions trading scheme cets pilots using ar garch ar tarch and mrs ar garch models the regional ets pilots design in china vary widely in their coverage thresholds sector coverage emissions allocation and caps setting methods market trading rules and price stabilization provisions our empirical results indicate that the spot prices of regional emissions allowances exhibit significant dynamic behaviors asymmetric leverage effects and regime switching behaviors in the entire period considered previous market overreactions in the beijing tianjin and guangdong pilots have stronger price clustering effects on future conditional variances than do the shanghai and hubei pilots unexpected market shocks and greater persistence in the beijing tianjin and guangdong ets pilots display stronger market volatility and higher market risks and their asymmetric leverage effects display a decreasing trend in the volatility of the bea tjea and gdea prices the bea and shea prices exhibit significant regime switching behaviors price jumps and higher volatility in addition the changes in the regime switching phases are often related to the political mechanism design and the fundamental market factors those empirical results are beneficial for government decision makers and market participants to strengthen risk management strategies support emission related investment decisions and optimize co benefits of alternative energy environmental policies

an economic model of representative democracy this paper develops an approach to the study of democratic policy making where politicians are selected by the people from those citizens who present themselves as candidates for public office the approach has a number of attractive features first it is a conceptualization of a pure form of representative democracy in which government is by as well as of the people second the model is analytically tractable being able to handle multidimensional issue and policy spaces very naturally third it provides a vehicle for answering normative questions about the performance of representative democracy

does a good central banker make a difference the personalities of central bankers moved center stage during the recent financial crisis indeed several central bankers even became superstars in this article we investigate whether superstar central bankers have an impact on economic performance we employ school grades given to central bankers by the financial press defining as superstars those central bankers receiving the top grade first we explain the grades in a probit estimation with measures of economic performance institutional features and personal characteristics second we employ a matching approach to account for the endogeneity of grading with respect to economic performance using entropy balancing we identify credible counterfactuals for top graded central bankers that is nonsuperstar central bankers who face similar situations comparing the economic performance of both groups we find that superstars do indeed matter a top graded central banker faces a significantly more favorable output inflation tradeoff than his peers this effect is driven by outstanding central bankers in both advanced and emerging economies and is especially prevalent in the precrisis subsample jel e52 e58

optimal design for multinomial choice experiments abstract the author derives d optimal designs for main effects multinomial choice experiments using attribute levels as design parameters the design solutions are similar to standard main effects designs except that one attribute is used to manipulate response probabilities the manipulator is key to implementing optimal designs in practice

the effectiveness of alternative preference elicitation procedures in predicting choice in a large scale national study the authors evaluated the effectiveness of several preference elicitation techniques for predicting choices the criteria for accuracy included both individual hit

going nuts the effect of eu structural funds on regional performance the european union eu provides grants to disadvantaged regions of member states to allow them to catch up with the eu average under the objective 1 scheme nuts2 regions with a per capita gdp level below 75 of the eu average qualify for structural funds transfers from the central eu budget this rule gives rise to a regression discontinuity design that exploits the discrete jump in the probability of eu transfer receipt at the 75 threshold for identification of causal effects of objective 1 treatment on outcome such as economic growth of eu regions we find positive per capita gdp growth effects of objective 1 transfers but no employment growth effects

carbon pricing and electricity markets the case of the australian clean energy bill abstract we examine the impact of the clean energy bill on the price behavior of electricity futures contracts in the australian national electricity market first we compute ex ante forward risk premiums in the pre tax period until june 2012 then derive market implied expectations about additional costs of the carbon pricing mechanism cpm on generators as well as pass through rates during the carbon tax july 2012 june 2014 and post tax after july 2014 periods our results suggest that the observed carbon premiums became increasingly higher once the carbon tax had been proposed and subsequently legislated in 2011 during periods where market participants could be relatively certain that the tax would be effective we find expected carbon pass through rates between 67 and 150 which seem to be inversely related to emission intensities in the regional markets our results are also a clear indication of strong policy uncertainty with regards to the cpm and suggest that in the future a stable and long term policy framework would be required for a carbon pricing mechanism to have its full effect

investment risks under uncertain climate change policy abstract this paper describes results from a model of decision making under uncertainty using a real options methodology developed by the international energy agency iea the model represents investment decisions in power generation from the perspective of a private company the investments are subject to uncertain future climate policy which is treated as an external risk factor over which the company has no control the aims of this paper are to i quantify these regulatory risks in order to improve understanding of how policy uncertainty may affect investment behaviour by private companies and ii illustrate the effectiveness of the real options approach as a policy analysis tool the study analysed firms investment options of coal and gas fired power plants and carbon capture and storage ccs technologies policy uncertainty is represented as an exogenous event that creates uncertainty in the carbon price our findings indicate that climate policy uncertainty creates a risk premium for power generation investments in the case of gas and coal fired power generation the risk premium would lead to an increase in electricity prices of 5 10 in order to stimulate investment in the case of ccs the risk premium would increase the carbon price required to stimulate investment by 16 37 compared to a situation of perfect certainty the option to retrofit ccs acts as a hedge against high future carbon prices and could accelerate investment in coal plant this paper concludes that to minimise investment risks in low carbon technologies policy makers should aim to provide some long term regulatory certainty

the impact of utility balance and endogeneity in conjoint analysis adaptive metric utility balance is at the heart of one of the most widely used and studied methods for conjoint analysis we use formal models simulations and empirical data to suggest that adaptive metric utility balance leads to partworth estimates that are relatively biased smaller partworths are upwardly biased relative to larger partworths such relative biases could lead to erroneous managerial decisions metric utility balanced questions are also more likely to be inefficient and in one empirical example contrary to popular wisdom lead to response errors that are at least as large as nonadaptive orthogonal questions we demonstrate that this bias is because of endogeneity caused by a winner s curse shrinkage estimates do not mitigate these biases combined with adaptive metric utility balance shrinkage estimates of heterogeneous partworths are biased downward relative to homogeneous partworths although biases can affect managerial decisions our data suggest that empirically biases and inefficiencies are of the order of response errors we examine viable alternatives to metric utility balance that researchers can use without biases or inefficiencies to retain the desired properties of 1 individual level adaptation and 2 challenging questions

resistance to reform status quo bias in the presence of individual specific uncertainty comment why do governments so often fail to adopt policies which economists consider to be efficiency enhancing our answer to this question relies on uncertainty regarding the distribution of gains and losses from reform we show that there is a bias towards the status quo and hence against efficiency enhancing reforms whenever some of the individual gainers and losers from reform cannot be identified beforehand there are reforms which once adopted will receive adequate political support but would have failed to carry the day ex ante the argument does not rely on risk aversion irrationality or hysteresis due to sunk costs jel d72 f13 why do governments so often fail to adopt policies that economists consider to be efficiency enhancing this is one of the fundamental questions of political economy the answer usually relies on what may be

modeling and forecasting the volatility of carbon emission market the role of outliers time varying jumps and oil price risk abstract the objectives of this study are three fold first we aim to assess whether outliers or extreme observations occur in the european union allowance eua data second we examine if time varying jumps are present in the carbon emission market third we use the crude oil volatility index ovx to investigate the effect of oil market uncertainty on the emission price volatility in order to detect the possible outliers in the eua market we employ a standard methodology proposed by ane et al 2008 and identify several outliers in the emission data after spotting and then removing those extreme points we apply the garch jump models to both original and outlier free observations the results of the jump model show that while time varying jumps do exist in the uncorrected data most of the jump parameters however become insignificant in case of outlier free observations next the application of an extended egarch model in which ovx is introduced in the garch specification demonstrates that emission prices are highly sensitive to oil market implied volatility and that the impact of ovx on the eua market appears to be asymmetric additionally the use of forecast encompassing test documents that considering the outlier free data and using the information content of ovx would improve the volatility forecasts for the carbon emission market the results of our research carry important implications for both investors and policymakers

marginal co2 cost pass through under imperfect competition in power markets abstract in line with economic theory carbon ets determines a rise in marginal cost equal to the carbon opportunity cost regardless of whether carbon allowances are allocated free of charge or not this paper aims at evaluating to what extent firms in imperfectly competitive markets will pass through into electricity prices the increase in cost by using the load duration curve approach and the dominant firm with competitive fringe model we show that the result is ambiguous the increase in price can be either lower or higher than the marginal co2 cost depending on several structural factors the degree of market concentration the available capacity whether there is excess capacity or not the power plant mix in the market and the power demand level peak vs off peak hours the empirical analysis of the italian context an emblematic case of imperfectly competitive market which can be split into four sub markets with different structural features provides a contribution supporting the model predictions market power therefore would determine a significant deviation from the full pass through rule but we cannot know the sign of this deviation a priori i e without before taking carefully into account the structural features of the power market

an empirical analysis of energy cost pass through to co2 emission prices abstract we use the nonlinear autoregressive distributed lag nardl model to analyze the asymmetric and nonlinear pass through effects of changes in crude oil prices natural gas prices coal prices and electricity prices on the co 2 emission allowance prices we find that i the crude oil prices have a long run negative and asymmetric effect on the co 2 allowance prices ii the decreases in the coal prices have a stronger impact on the carbon prices in the short run than the increases iii the natural gas prices and electricity prices have a symmetric effect on the carbon prices but this effect is negative for the former and positive for the latter these findings are robust when using both monthly and daily data and when considering bivariate and multivariate models

price discovery and volatility spillovers in the european union emissions trading scheme a high frequency analysis abstract this paper models the relationship of european union allowance spot and futures prices within the second commitment period of the european union emissions trading scheme based on high frequency data we analyze the transmission of information in first and second conditional moments to reveal long run price discovery we compute common factor weights of schwarz and szakmary 1994 and information shares of hasbrouck 1995 based on estimated coefficients of a vecm to analyze the short run dynamics we perform granger causality tests we identify the futures market to be the leader of the long run price discovery process whereas the informational role of the futures market increases over time in addition we employ a version of the ueccc garch model as introduced by conrad and karanasos 2010 to analyze the volatility transmission structure the volatility analysis indicates a close relationship between the volatility dynamics of both markets whereas in particular we observe spillovers from the futures to the spot market as a whole the investigation reveals that the futures market incorporates information first and then transfers the information to the spot market

modeling eu allowances and oil market interdependence implications for portfolio management abstract this paper examines the dependence structure between european union allowances euas and crude oil markets during the second commitment period of the european union emissions trading scheme and the implications for portfolio management using different copula models our findings suggest positive average dependence and extreme symmetric independence that is consistent with interdependence and no contagion effects between the eua and crude oil markets the implication of this result for eua oil portfolios points to the existence of diversification benefits hedging effectiveness and value at risk reductions the eua market is therefore an attractive market for investors in terms of diversifying market risk and reducing downside risk in crude oil markets

oil shock and economic growth in japan a nonlinear approach abstract this paper investigates the relationship between oil price shock and economic growth on the basis of the nonlinear approach developed by hamilton hamilton j 2001 a parametric approach to flexible nonlinear inference econometrica 537 573 we use the approach also in hamilton hamilton j 2003 what is an oil shock journal of econometrics 363 398 of capturing this relationship in japan in a nonlinear model the idea is that negative oil price shocks price increase tend to have larger impact on growth than positive shocks do our empirical evidence confirmed the existence of nonlinearity between these two variables and a flexible nonlinear model is estimated additionally several other form of nonlinearity are estimated and tested

price drivers and structural breaks in european carbon prices 2005 2007 this article aims at characterizing the daily price fundamentals of european union allowances euas traded since 2005 as part of the emissions trading scheme ets the presence of two structural changes on april 2006 following the disclosure of 2005 verified emissions and on october 2006 following the european commission announcement of stricter phase ii allocation allows to isolate distinct fundamentals evolving overtime the results extend previous literature by showing that eua spot prices react not only to energy prices with forecast errors but also to unanticipated temperatures changes during colder events besides the sub period decomposition of the pilot phase gives a better grasp of institutional and market events that drive allowance price changes

regional convergence evidence from a new state by state capital stock series this paper seeks to reconcile the growth empirics technique of mankiw romer and weil 1992 with the empirical results of barro and sala i martin 1991 through the development of a new database covering the 1977 96 period we create state by state capital stock and gross investment estimates by apportioning the national capital stock among the states using these estimates along with gross state product and employment data we find evidence that the solow growth model explains state wide growth during this period we consistently find a rate of convergence of around 2 our results as a consequence suggest that the empirical results of barro and sala i martin are driven by the neoclassical growth process of solow

an emerging equilibrium in the eu emissions trading scheme abstract the european union s emissions trading scheme ets is the key policy instrument of the european commission s climate change program aimed at reducing greenhouse gas emissions to eight percent below 1990 levels by 2012 a critically important element of the eu ets is the establishment of a market determined price for eu allowances this article examines the extent to which several theoretically founded factors including economic growth energy prices and weather conditions determine the expected prices of the european union co 2 allowances during the 2005 through to the 2009 period the novel aspect of our study is that we examine heavily traded futures instruments that have an expiry date in phase 2 of the eu ets our study adopts both static and recursive versions of the johansen multivariate cointegration likelihood ratio test as well as a variation on this test with a view to controlling for time varying volatility effects our results are indicative of a new pricing regime emerging in phase 2 and point to a maturing market driven by the fundamentals these results are valuable both for traders of eu allowances and for those policy makers seeking to improve the design of the european union ets

information linkage dynamic spillovers in prices and volatility between the carbon and energy markets abstract the european union emissions trading system eu ets has strengthened the information flow and connection between carbon market and energy markets which makes the carbon energy system more complicated this paper investigates information linkages and dynamic spillover effects between the carbon and energy markets we adopt a systemic time series approach to study connectedness in both returns and volatility in the carbon energy system moreover a rolling windows method is used to show the dynamic features empirical results show that brent oil prices play an important role in affecting carbon price changes and risks feedback exists from the carbon market to other energy markets and electricity prices are shown to be the biggest information receiver in the system it is also shown that the level of connectedness in the volatility system is substantially higher than that in the returns system our results can provide useful implications for policymakers to design market mechanisms and market investors to manage their portfolios

selection on observed and unobserved variables assessing the effectiveness of catholic schools in this paper we measure the effect of catholic high school attendance on educational attainment and test scores because we do not have a good instrumental variable for catholic school attendance we develop new estimation methods based on the idea that the amount of selection on the observed explanatory variables in a model provides a guide to the amount of selection on the unobservables we also propose an informal way to assess selectivity bias based on measuring the ratio of selection on unobservables to selection on observables that would be required if one is to attribute the entire effect of catholic school attendance to selection bias we use our methods to estimate the effect of attending a catholic high school on a variety of outcomes our main conclusion is that catholic high schools substantially increase the probability of graduating from high school and more tentatively attending college we find little evidence of an effect on test scores

the educational and professional background of central bankers and its effect on inflation an empirical analysis we assume that central banks can control inflation so that inflation rates reflect the preferences of the central bank council the hypothesis to be tested is that these preferences depend on the central bankers educational and or professional background in a panel data analysis for the euro area and eleven countries since 1973 we explain inflation either by the weights with which the educational and professional characteristics of the 391 council members were represented in the various central bank councils or by the education or profession of the median council members control variables are added using professional background weights we find that former members of the central bank staff and in some specifications former insurance executives commercial bankers other businessmen and public servants prefer significantly lower inflation rates than former union leaders and politicians do in the median voter analysis former central bankers commercial bankers businessmen and public servants are also significantly more inflation averse than economic scholars as for the education of the council members our results are less robust however if the median member of the central bank council has studied business the inflation rate is significantly lower than if she has studied economics taking educational and professional background together central banks seem to attract or produce primarily economists who are monetary conservatives whereas keynesian economists are more prominent in academia jel classification e42 e58

are electricity risk premia affected by emission allowance prices evidence from the eex nord pool and powernext the links between emission and energy markets are of great interest to practitioners academics and policy makers in this paper it is conjectured that a positive relationship exists between emission allowance spot returns and electricity risk premia within the european union emissions trading scheme eu ets we discuss how this can be justified on the basis of the substantial uncertainties in the carbon markets we also argue that this link could be due to trading strategies followed by electricity producers who attempt to exploit their initial allocation of free allowances analysis of data from three major markets the eex nord pool and powernext offers empirical support to our conjecture these findings have significant policy implications since they imply that efforts should be made in order to reduce the uncertainty in the carbon markets by clearly defining the eu ets regulative framework and design over the next years moreover our results suggest that the allocation of free allowances and their unrestricted trading enable electricity producers to accomplish windfall profits in the derivatives market at the expense of other market participants

dynamic multiscale interactions between european carbon and electricity markets during 2005 2016 this study explores the dynamic multiscale interactions between carbon and electricity markets during phases i 2005 2007 ii 2008 2012 and ongoing iii 2013 2016 by introducing the bivariate empirical mode decomposition bemd linear and nonlinear granger causality tests firstly bemd is used to decompose the european carbon and electricity prices into several pairs of simple modes with different timescales secondly causality tests are performed at each pair of modes with a similar timescale significant but asymmetric causalities can be found that the bidirectional linear causality turns to a unidirectional one running from the electricity price to the carbon price from phase i to phase iii whereas the nonlinear interaction enhances from insignificance to significance during the three phases the causality at short timescale is consistent with that of the original data while the causalities at mid and long timescales are more diversified the findings obtained show that the effect of carbon market on the electricity market is weakening which indicates that it is needed to increase its efficiency by raising the carbon price moreover a dynamic adjusting mechanism of emission allowances will be called for as well as the guidance aimed at different timescales in the future

influences from the european parliament on eu emissions prices abstract the decisions of the european parliament ep are shown to influence both eu emission allowance eua prices and volatility reductions in price and increases in volatility are observed when ep decisions are i not party political in origin ii made during times of low market sentiment or iii made during times of low market attention daily eua prices from 2007 to 2014 are used in the study with decisions analysed using an event study approach for price impact and a garch specification for volatility impact our findings suggest the need for policymakers to improve communication of long term strategies for the eua market this aims to reduce the evident ongoing uncertainty experienced by traders around each decision made by the ep the finding that sentiment and market attention at the time of an ep decision influences the market s reaction indicates a need to consider market dynamics in terms of decision timing so that market turbulence is not an unintended by product of an ep decision some form of medium term forward guidance may be called for

relative income effects on subjective well being in the cross section abstract recent work suggests that a person s subjective well being swb depends to a large degree on relative income focusing on the underlying identification this paper makes four contributions to this literature it describes the aggregation problem with past studies implements an estimation strategy to overcome this problem finds micro level evidence in support of the hypothesis that relative income does matter in individual assessments of swb and uses cross section estimates to replicate the aggregate time series the evidence further indicates that relative income effects may be smaller at low income levels the results are obtained from ordered probit techniques and the general social survey gss

dynamic cyclical comovements between oil prices and us gdp a wavelet perspective abstract in this paper we use wavelet analysis to investigate the cyclical comovements between crude oil prices and us gdp taking into account the decline in the volatility of us gdp growth that has occurred since the mid 1980s our main findings suggest that before 1984 q1 the crude oil prices were leading the us gdp cycle by 3 quarters and granger cause us gdp in contrast after 1984 q1 the crude oil prices were lagging the us business cycle and a reverse causality is found to run from us gdp to oil prices the multiscale granger causality tests globally corroborate theses results

allowance price drivers in the first phase of the eu ets abstract in the first phase of the eu emissions trading scheme eu ets the price per ton of co 2 initially rose to over 30 the price then collapsed to essentially zero by mid 2007 by deriving a structural model of the allowance price under the assumption of efficient markets i examine the extent to which this variation in price can be explained by marginal abatement costs i then gradually relax the model by allowing for delayed adjustment of price to fundamentals as well as by introducing lagged lhs variables the pattern of results suggests that while prices were not initially driven by marginal abatement costs this inefficiency was largely corrected after the accounting of 2005 emissions in april 2006

price as a stimulus to think the case for willful overpricing consumers aware of a new benefit will often experience uncertainty about its personal relevance or usage value this paper shows that the decision to deliberate further to resolve this uncertainty and reach a polarized judgment of personal relevance critically depends on the posted price in particular a price above the consumer s initial willingness to pay might be thought provoking and enhance the perception of relevance with a certain probability this behavioral mechanism is introduced formally and by way of an experiment with reference to the purchase of organic lettuce and fair trade coffee accounting for the effect of price as a stimulus to think a monopolistic firm should either over price transgressive pricing or under price regressive pricing in comparison to the consumer s willingness to pay under certain circumstances the firm should also empower consumers with means that reduce the effort of deliberation

opec announcements and their effects on crude oil prices we investigate evidence on the effects of opec announcements on world oil prices by examining announcements from both official conferences and ministerial meetings on major international crudes including the key benchmarks and several other heavy and light grades with data from 1982 to 2008 we use event study methodology and find differentiation in the magnitude and significance of market responses to opec quota decisions under different price bands we also find some weak evidence of differentiation between light and heavy crude grades

a literature review of economic studies on carbon pricing and australian wholesale electricity markets abstract with the ongoing development of australian anthropogenic climate change mitigation policies there has been a steady increase in modelling studies undertaken to estimate australian carbon prices and their impact on existing electricity markets this article summarises some of the more prominent studies completed by many of australia s foremost economic modelling firms we developed a simple approach for testing the consistency of these studies and their findings in relation to carbon pass through unfortunately we have established that the studies are entirely inconsistent in their estimation of carbon pass through furthermore we were unable to establish why the estimation of carbon pass through varies so significantly this has important implications for policy makers given much of the compensation to be paid to households and businesses under the clean energy future package is predicated on simple assumptions of carbon pass through based upon our analysis of these economic studies our conclusion is that australian policy makers are best guided by relying upon the numerous a posteriori estimations of pass through in the european union emissions trading scheme ets rather than australian a priori studies

a multiscale analysis for carbon price drivers abstract this study proposes a multiscale analysis model to explore and identify the carbon price drivers at different timescales by introducing the latest multivariate empirical mode decomposition carbon price and its potential drivers are decomposed into several groups of simple modes with specific economic meanings the cointegration techniques error correction model and newey west estimator are combined to capture the carbon price drivers at similar timescales illustrated by the samples of the european union emissions trading system from 2009 to 2016 a few interesting results can be found that at the original data level among the three most important drivers of carbon price electricity price and stock index show positive impacts while coal price shows a negative impact at different timescales the effects of electricity and stock index appear comparatively earlier which drive carbon price from the short timescales and continue to strengthen however the impacts of coal oil and gas prices are lagging behind which respectively drive the carbon price at the medium and long timescales

causes of the eu ets price drop recession cdm renewable policies or a bit of everything new evidence the price of eu allowances euas in the eu emissions trading scheme eu ets fell from almost 30 tco2 in mid 2008 to less than 5 tco2 in mid 2013 the sharp and persistent price decline has sparked intense debates both in academia and among policy makers about the decisive allowance price drivers in this paper we examine whether and to what extent the eua price drop can be justified by three commonly identified explanatory factors the economic recession renewable policies and the use of international credits capitalizing on marginal abatement cost theory and a broadly extended data set we find that only variations in economic activity and the growth of wind and solar electricity production are robustly explaining eua price dynamics contrary to simulation based analyses our results point to moderate interaction effects between the overlapping eu ets and renewable policies the bottom line however is that 90 of the variations of eua price changes remains unexplained by the abatement related fundamentals together our findings do not support the widely held view that negative demand shocks are the main cause of the weak carbon price signal in view of the new evidence we evaluate the eu ets reform options which are currently discussed

does the size of the legislature affect the size of government evidence from two natural experiments this paper makes use of regression discontinuity designs to estimate the effect of the number of legislators on the size of government the results indicate a negative effect i e the larger the size of the legislature the smaller is the size of government this runs counter to conventional wisdom one potential explanation is that more legislators can better control a budget maximizing bureaucracy i present evidence that is consistent with the proposed mechanism

carbon price drivers phase i versus phase ii equilibrium abstract the aim of this paper is to investigate the determinants of the carbon price during the two phases of the european union emission trading scheme eu ets more specifically relying on daily eu allowance futures contracts we test whether the carbon price drivers identified for phase i still hold for phase ii and evolve toward a long run relationship using cointegration techniques and accounting for the 2006 structural break in the carbon market we show that while a cointegrating relationship exists for both phases of the eu ets the nature of this equilibrium relationship is different across the two subperiods with an increasing role of fundamentals in phase ii deriving equilibrium values we show that the carbon price tends to be undervalued since the end of 2009

the impact on electric power industry under the implementation of national carbon trading market in china a dynamic cge analysis abstract as the largest carbon emissions source sector electric power industry is undoubtedly a principal part of the carbon trading market in china aimed at researching the impact on power industry beyond establishing the national carbon trading market a dynamic computable general equilibrium cge model embedded with carbon trading block is introduced in this paper subsequently we design 8 scenarios of which illustrate corresponding industry carbon emissions baselines and free quotas ratios the main simulation results are as follows the implementation of carbon emissions trading would bring a certain negative impact on the overall economy real gdp will be reduced by about 0 08 0 52 in 2030 though low free quotas ratio will cause a relatively high loss of gdp this negative impact would be eliminated in the long run in addition carbon emissions trading would also promote the clean production of electricity indeed the electric power industry would reach carbon emissions peak around 2020 relative to scenarios without carbon trading carbon emissions would reduce more than 1000 million tons in 2030 when industry carbon emissions baseline declines at an annual rate of 2 consequently the carbon market can achieve a more significant reduction in carbon emissions with the influencing of quotas fully auctioned scenario

designing conjoint choice experiments using managers prior beliefs abstract the authors provide more efficient designs for conjoint choice experiments based on prior information elicited from managers about the parameters and their associated uncertainty the authors use a bayesian design procedure that assumes a prior distribution of likely parameter values and optimizes the design over that distribution the authors propose a way to elicit prior information from managers and show in monte carlo studies that the procedure provides more efficient designs than the current procedures the authors provide an empirical application in which they elicit prior information on the parameter values and the associated uncertainty from managers here the bayesian design provides 30 50 lower standard errors of the estimates and an expected predictive validity that is approximately 20 higher

dynamic models incorporating individual heterogeneity utility evolution in conjoint analysis it has been shown in the behavioral decision making marketing research and psychometric literature that the structure underlying preferences can change during the administration of repeated measurements e g conjoint analysis and data collection because of effects from learning fatigue boredom and so on in this research note we propose a new class of hierarchical dynamic bayesian models for capturing such dynamic effects in conjoint applications which extend the standard hierarchical bayesian random effects and existing dynamic bayesian models by allowing for individual level heterogeneity around an aggregate dynamic trend using simulated conjoint data we explore the performance of these new dynamic models incorporating individual level heterogeneity across a number of possible types of dynamic effects and demonstrate the derived benefits versus static models in addition we introduce the idea of an unbiased dynamic estimate and demonstrate that using a counterbalanced design is important from an estimation perspective when parameter dynamics are present

a new statistic and practical guidelines for nonparametric granger causality testing abstract in this paper we introduce a new nonparametric test for granger non causality which avoids the over rejection observed in the frequently used test proposed by hiemstra and jones 1994 testing for linear and nonlinear granger causality in the stock price volume relation journal of finance 49 1639 1664 after illustrating the problem by showing that rejection probabilities under the null hypothesis may tend to one as the sample size increases we study the reason behind this phenomenon analytically it turns out that the hiemstra jones test for the null of granger non causality which can be rephrased in terms of conditional independence of two vectors x and z given a third vector y is sensitive to variations in the conditional distributions of x and z that may be present under the null to overcome this problem we replace the global test statistic by an average of local conditional dependence measures by letting the bandwidth tend to zero at appropriate rates the variations in the conditional distributions are accounted for automatically based on asymptotic theory we formulate practical guidelines for choosing the bandwidth depending on the sample size we conclude with an application to historical returns and trading volumes of the standard and poor s index which indicates that the evidence for volume granger causing returns is weaker than suggested by the hiemstra jones test

testing for linear and nonlinear granger causality in the stock price volume relation linear and nonlinear granger causality tests are used to examine the dynamic relation between daily dow jones stock returns and percentage changes in new york stock exchange trading volume we find evidence of significant bidirectional nonlinear causality between returns and volume we also examine whether the nonlinear causality from volume to returns can be explained by volume serving as a proxy for information flow in the stochastic process generating stock return variance as suggested by clark s 1973 latent common factor model after controlling for volatility persistence in returns we continue to find evidence of nonlinear causality from volume to returns

editorial are consumers rational experimental evidence despite some misconceptions consumer rationality is a property of the researcher rather than the consumer consumers become more rational as we are better able to predict their behavior or other important outcomes influenced by their behavior perfect rationality results when we achieve accurate predictions consequently at least for many marketing science articles consumers are becoming more rational as we find better ways to predict however some experimental consumer behavior articles find the opposite the difference between experimental and statistical controls explains the divergence in conclusions experimental controls test rationality based on whether previously absent variables exhibit significant explanatory power holding known explanatory variables constant statistical controls test rationality based on the incremental explanatory power of previously absent variables after accounting for known explanatory variables moreover experimental tests tend to isolate consumer behavior predictions while statistical tests check for sufficient accuracy to choose among different firm strategies both perspectives are correct but ask very different questions

nonlinear causality between crude oil price and exchange rate a comparative study of china and india a failed replication negative type 1 and type 2 evidence published in this journal by bal and rath 2015 purports a bidirectional nonlinear causality between oil price and india s exchange rate and for china unidirectional nonlinear causality running from exchange rate to oil price their entire testing protocol and ensuing results rest upon claims that all the variables contain a unit root we raise several critical issues and revisit the order of integration of the series as well as their cointegration and granger causality properties through a pure replication and a reanalysis contrary to bal and rath 2015 when we repeat their estimated model with their specification of the ng and perron 2001 unit root test on their data we find that their oil price series rol is level stationary negative replication type 1 a result which makes all their subsequent results biased and misleading our reanalysis confirms that rol is i 0 linearly as well as nonlinearly we also find that the basic bivariate model proposed by bal and rath 2015 fails to produce statistically robust and stable cointegrating patterns nonlinear causality tests confirm the absence of any nonlinear causality for both countries negative replication type 2

political careers or career politicians two main career paths are prevalent among politicians in modern democracies there are career politicians i e politicians who work in the political sector until retirement and political careers i e there are politicians who leave politics before retirement and work in the private sector in this paper we propose a dynamic equilibrium model of the careers of politicians in a political economy with a private sector and a political sector where individuals are heterogeneous with respect to their market ability as well as their political skills we characterize the conditions under which the two career paths emerge in equilibrium and establish a number of comparative statics results with respect to the quality of politicians and their careers

searching for good policies policymaking is hard policymakers typically have imperfect information about which policies produce which outcomes and they are left with little choice but to fumble their way through the policy space via a trial and error process this raises a question at the heart of democracy do democratic systems identify good policies to answer this question i introduce a novel model of policymaking in complex environments i show that good policies are often but not always found and i identify the possibility of policymaking getting stuck at outcomes that are arbitrarily bad notably policy stickiness occurs in the model even in the absence of institutional constraints this raises the question of how institutions and the political environment impact experimentation and learning i show how a simple political friction uncertainty over voter preferences interacts with political competition and policy uncertainty in a subtle way that surprisingly improves the quality of policymaking over time

research note on managerially efficient experimental designs in most marketing experiments managerial decisions are not based directly on the estimates of the parameters but rather on functions of these estimates for example many managerial decisions are driven by whether or not a feature is valued more than the price the consumer will be asked to pay in other cases some managerial decisions are weighed more heavily than others the standard measures used to evaluate experimental designs e g a efficiency or d efficiency do not accommodate these phenomena we propose alternative managerial efficiency criteria m errors that are relatively easy to implement we explore their properties suggest practical algorithms to decrease errors and provide illustrative examples realistic examples suggest improvements of as much as 30 in managerial efficiency we close by considering approximations for nonlinear criteria and extensions to choice based experiments

multivariate dependence and spillover effects across energy commodities and diversification potentials of carbon assets abstract in a first step we model the multivariate tail dependence structure and spillover effects across energy commodities such as crude oil natural gas ethanol heating oil coal and gasoline using canonical vine c vine copula and c vine conditional value at risk covar in the second step we formulate portfolio strategies based on different performance measures to analyze the risk reduction and diversification potential of carbon assets for energy commodities we identify greater exposure to losses arising from investments in heating oil and ethanol markets we also find evidence of carbon asset providing diversification benefits to energy commodity investments these findings motivate for regulatory adjustments in the trading and emission permits for the energy markets most strongly diversified by carbon assets

linear and nonlinear granger causality investigation between carbon market and crude oil market a multi scale approach abstract this paper investigates the causality between carbon market and crude oil market using a multi scale analysis approach in which two main steps are involved multi scale analysis and causality testing in multi scale analysis bivariate empirical mode decomposition bemd is employed to decompose the two series of market returns at different time scales in causality testing a linear and nonlinear integrated granger test is formulated to investigate the relationship among each pair of matched components on a similar time scale with the european union emission allowance eua futures and brent futures as study samples some interesting findings can be obtained 1 at the original data level without multi scale decomposition this study finds evidence supporting a neutrality hypothesis i e no granger causality between the carbon and crude oil markets 2 on small time scale within one week excluding non work days the two markets might be uncorrelated and driven by their own respective supply demand disequilibriums 3 for medium time scale above one week but below one year there is a strong bi directional linear and nonlinear spillover effect between the two markets due to certain extra factors with medium term effects e g significant events and policy changes 4 for long time scale the long term trends of the two markets appear an obvious linear relationship

do businessmen make good governors this paper evaluates the economic performance of u s state governors with a business background chief executive officer ceo governors applying a matching method i find first that businesspeople tend to take office in times of economic and fiscal strain second the tenures of ceo governors are associated with a 0 5 percentage points pp higher annual income growth rate a 0 4 pp higher growth rate of the private capital stock and a 0 6 pp lower unemployment rate than are the tenures of non ceo governors state level income inequality is not affected by ceo governors holding office indicating that low income households benefit from the economic upswing

economic growth and energy consumption revisited evidence from linear and nonlinear granger causality the relationship between energy consumption and economic growth is considered as an imperative issue in energy economics previous studies have ignored the nonlinear behavior which could be caused by structural breaks in this study both linear and nonlinear granger causality tests are applied to examine the causal relationship between energy consumption and economic growth for a sample of asian newly industrialized countries as well as the u s this study finds evidence supporting a neutrality hypothesis for the united states thailand and south korea however empirical evidence on philippines and singapore reveals a unidirectional causality running from economic growth to energy consumption while energy consumption may have affected economic growth for taiwan hong kong malaysia and indonesia policy implications are also discussed

eua and scer phase ii price drivers unveiling the reasons for the existence of the eua scer spread abstract this article studies the price relationships between eu emissions allowances euas valid under the eu emissions trading scheme eu ets and secondary certified emissions reductions scers established from primary cers generated through the kyoto protocol s clean development mechanism cdm given the price differences between euas and scers financial and industrial operators may benefit from arbitrage strategies by buying scers and selling euas i e selling the eua scer spread to cover their compliance position as industrial operators are allowed to use scers towards compliance with their emissions cap within the european system up to 13 4 our central results show that the spread is mainly driven by eua prices and market microstructure variables and less importantly as we would expect by emissions related fundamental drivers this might be justified by the fact that the eu ets remains the greatest source of cer demand to date

time variation in european carbon pass through rates in electricity futures prices the european union emissions trading scheme is a means to price emission allowances electricity market prices should reflect these market prices of emission allowances as they are a cost factor for power producers the pass through rate is the fraction of the emission allowance price that is passed through to electricity market prices it is often measured and presented as an average or a fixed estimate over some time period however we expect that the pass through rates should actually vary over time as electricity supply curves reflect the marginal costs of different producers that differ in emission intensity we apply a kalman filter approach to observe pass through rates in germany and u k and find strong support for time varying instead of fixed pass through rates although policy makers are interested in the impact of a policy on average our results indicate that one needs to be careful with the time frame over which pass through rates are measured for policy evaluation as an incorrect chosen evaluation period could cause an under or overestimation of the pass through rate in addition our model helps to provide policy makers with insight in the development of pass through rates when market circumstances change with respect to power production

first evidence of asymmetric cost pass through of eu emissions allowances examining wholesale electricity prices in germany abstract we test the hypothesis that rising prices of emission allowances have a stronger impact on wholesale electricity prices than falling prices asymmetric cost pass through using an autoregressive distributed lag model we confirm this hypothesis for the german market

endogenous constitutions politics and politicians matter economic outcomes don t abstract we study changes in the form of government as an example of endogenously determined constitutions for a sample of 202 countries over the period 1950 2006 we find that most changes are relatively small and roughly equally likely to be either in the direction of more parliamentarian or more presidential systems based on a fixed effects ordered logit panel data model estimated over the period 1951 2000 for 146 countries we find that such changes in the constitution can be explained by characteristics of the political system internal and external political conflicts and political leaders whereas economic and socio demographic variables do not matter

measuring consumer preferences for complex products a compositional approach based on paired comparisons abstract conjoint analysis has become a widely accepted tool for preference measurement in marketing research though its applicability and performance strongly depend on the complexity of the product or service therefore self explicated approaches are still frequently used because of their simple design which facilitates preference elicitation when large numbers of attributes need to be considered however the direct measurement of preferences or rather utilities has been criticized as being imprecise in many cases against this background the authors present a compositional consumer preference measurement approach based on paired comparisons otherwise known as pcpm the trade off character of paired comparisons ensures that the stated judgments are more intuitive than traditional self explicated preference statements in contrast to the latter pcpm accounts for response errors and thus allows for the elicitation of more precise preferences the authors benchmark pcpm against adaptive conjoint a

risk spillovers across the energy and carbon markets and hedging strategies for carbon risk this study examines the risk spillovers between energy futures prices and europe based carbon futures contracts we use a markov regime switching dynamic correlation generalized autoregressive conditional heteroscedasticity ms dcc garch model in order to capture the time variations and structural breaks in the spillovers we further evaluate the optimal weights hedging effectiveness and dynamic hedging strategies for the ms dcc garch model based on both the regime dependent and regime independent optimal hedge ratios we finally complement our analysis by examining the in and out of sample hedging performances for alternative strategies our results mainly show significant volatility and time varying risk transmission from energy markets to carbon market we also find that spot and futures segments of the emission markets exhibit time varying correlations and volatile hedging effectiveness the subsample estimates show significant changes in the hedge effectiveness over the different phases of the european carbon market these results have important investment and policy implications

a theory of competition among pressure groups for political influence this paper presents a theory of competition among pressure groups for political influence political equilibrium depends on the efficiency of each group in producing pressure the effect of additional pressure on their influence the number of persons in different groups and the deadweight cost of taxes and subsidies an increase in deadweight costs discourages pressure by subsidized groups and encourages pressure by taxpayers this analysis unifies the view that governments correct market failures with the view that they favor the politically powerful both are produced by the competition for political favors

evaluating the power investment options with uncertainty in climate policy abstract this paper uses a real options approach roa for analysing the effects of government climate policy uncertainty on private investors decision making in the power sector it presents an analysis undertaken by the international energy agency iea that implements roa within a dynamic programming approach for technology investment choice case studies for gas coal and nuclear power investment are undertaken with the model illustrative results from the model indicate four broad conclusions i climate change policy risks can become large if there is only a short time between a future climate policy event such as post 2012 and the time when the investment decision is being made ii the way in which co 2 and fuel price variations feed through to electricity price variations is an important determinant of the overall investment risk that companies will face iii investment risks vary according to the technology being considered with nuclear power appearing to be particularly exposed to fuel and co 2 price risks under various assumptions and iv the government will be able to reduce investors risks by implementing long term say 10 years rather than short term say 5 years climate change policy frameworks contributions of this study include 1 having created a step function with stochastic volume of jump at a particular time to simulate carbon price shock under a particular climate policy event 2 quantifying the implicit risk premium of carbon price uncertainty to investors in new capacity 3 evaluating carbon price risk alongside energy price risk in investment decision making and 4 demonstrating roa to be a useful tool to quantify the impacts of climate change policy uncertainty on power investment

willingness to pay estimation with choice based conjoint analysis addressing extreme response behavior with individually adapted designs the increasing consideration of behavioral aspects in operations management models has prompted greater use of choice based conjoint cbc studies in operations research such studies can elicit consumers willingness to pay wtp a core input for many optimization models however optimization models can yield valid results only if consumers wtp is estimated accurately a simulation study and two field studies show that extreme response behavior in cbc studies such that consumers always or never choose the no purchase option harms the validity of wtp estimates reporting the share of consumers who always and never select the no purchase option allows for detecting extreme response behavior this study suggests an individually adapted design that avoids extreme response behavior and thus significantly improves wtp estimation accuracy

the dynamic linkage effect between energy and emissions allowances price for regional emissions trading scheme pilots in china abstract china s emissions trading scheme cets pilots are emerging and fragmented markets these emissions allowances markets may exhibit a different fundamental price process from the european union s eu and the united states us emissions trading scheme ets the dynamic linkage effects between energy and emissions allowances prices are investigated for regional ets pilots in china using cointegration techniques the empirical results confirm that in the long run coal oil and natural gas prices are the main determinant factors of regional emissions allowances prices except for the second phase beijing ets pilots however their long run cointegration relationships in the beijing and shanghai pilots are not exactly in line with the guangdong and hubei pilots in the short run the changes in oil and natural gas prices in the second phase beijing ets pilot the natural gas prices in the shanghai ets pilot and the coal prices in the hubei ets pilot are found to have significant effects on regional emissions allowances prices in china finally regional energy pricing inefficiency regional emissions trading market overreaction and their inefficient fundaments may provide major obstacles in reducing the effectiveness of the fossil energy price pass through to emissions allowances prices in regional ets pilots

regional income fluctuations common trends and common cycles this paper investigates trend and cycle dynamics in per capita income for the major u s regions during the 1956 1995 period cointegration and serial correlation common features information are used in jointly decomposing the series into trend and cycle components we find considerable differences in the volatility of regional cycles controlling for differences in volatility we find a great deal of comovement in the cyclical response for all regions but the far west possible sources underlying differences in regional cycles are explored such as the share of a region s income accounted for by manufacturing defense spending as a proportion of a region s income oil price shocks and the stance of monetary policy somewhat surprisingly we find that the share of manufacturing in a region seems to account for little of the variation in regional cycles relative to national cycles but manufacturing share differentially affects trend growth for four of the seven regions studied

an overview of co2 cost pass through to electricity prices in europe this paper investigates the link between wholesale electricity prices in europe and the co2 cost i e the price of european union allowances euas over the two first phases of the european union emissions trading scheme eu ets we set up a theoretical framework and an empirical model to estimate to what extent daily fluctuations of co2 costs may have impacted electricity prices regarding estimation results for the first phase of the eu ets about 42 of estimated pass through rates appear to be statistically significant while only one third of them are statistically different from zero in the second phase we try to improve those results by proposing alternative estimates based on the eu ets compliance periods

the effects of class size on student achievement new evidence from population variation abstract i identify the effects of class size on student achievement using longitudinal variation in the population associated with each grade in 649 elementary schools i use variation in class size driven by idiosyncratic variation in the population i also use discrete jumps in class size that occur when a small change in enrollment triggers a maximum or minimum class size rule the estimates indicate that class size does not have a statistically significant effect on student achievement i rule out even modest effects 2 to 4 percent of a standard deviation in scores for a 10 percent reduction in class size

the effect of the financial sector on the evolution of oil prices analysis of the contribution of the futures market to the price discovery process in the wti spot market abstract the aim of this article is to empirically measure the contribution of the futures market to the price discovery process in the spot market for benchmark crude oils specifically that for west texas intermediate wti for this purpose we test the hypothesis that the recent evolution of the financial markets has affected the future oil market so as to increase its contribution to the price discovery process of the spot market we modeled the relation between wti spot and future prices as a cointegration relation by using the kalman filter technique it was possible to obtain a time varying measure of the contribution of future markets to the price discovery mechanism the results show that in the case of wti the contribution of the futures market has been increasing especially between 2003 and 2008 and then again after the start of 2009 evidencing the growing importance of factors particular to the financial markets in determining oil prices in recent years during 2009 the spot prices adjusted to agents future expectations rather than to the current supply and demand conditions

the relationship between crude oil spot and futures prices cointegration linear and nonlinear causality the present study investigates the linear and nonlinear causal linkages between daily spot and futures prices for maturities of one two three and four months of west texas intermediate wti crude oil the data cover two periods october 1991 october 1999 and november 1999 october 2007 with the latter being significantly more turbulent apart from the conventional linear granger test we apply a new nonparametric test for nonlinear causality by diks and panchenko after controlling for cointegration in addition to the traditional pairwise analysis we test for causality while correcting for the effects of the other variables to check if any of the observed causality is strictly nonlinear in nature we also examine the nonlinear causal relationships of vecm filtered residuals finally we investigate the hypothesis of nonlinear non causality after controlling for conditional heteroskedasticity in the data using a garch bekk model whilst the linear causal relationships disappear after vecm cointegration filtering nonlinear causal linkages in some cases persist even after garch filtering in both periods this indicates that spot and futures returns may exhibit asymmetric garch effects and or statistically significant higher order conditional moments moreover the results imply that if nonlinear effects are accounted for neither market leads or lags the other consistently videlicet the pattern of leads and lags changes over time

event studies in economics and finance the event study is an important research tool in economics and finance the goal of an event study is to measure the effects of an economic event on the value of firms event study methods exploit the fact that given rationality in the marketplace the effects of an event will be reflected immediately in security prices thus the impact can be measured by examining security prices surrounding the event in this paper event study methods are described including some of the potential complications an example is included to illustrate the approach

asymmetric risk spillover between financial market uncertainty and the carbon market a gas dcs copula approach abstract a thorough understanding the asymmetry in risk transferring mechanisms remains a challenge in the carbon market through the incorporation of the asymmetric tail distribution into the risk transferring mechanism the asymmetric response of the carbon market to financial market uncertainties can be explored herein we propose a generalized autoregressive score dynamic conditional score copula model to investigate the asymmetric risk spillover between financial market uncertainty and the carbon market we discover the existence of considerable asymmetric risk spillover from financial market uncertainty to the carbon market specifically the upper tail risk spillover effect is greater than the lower tail risk spillover effect the degree of risk spillover reached a peak during the european debt crisis also higher degrees of financial market uncertainty and especially uncertainty from the crude oil market cause a greater risk spillover to the carbon market than lower degrees of financial market uncertainty do in addition we discover that stock market uncertainty exhibits greater power than crude oil market uncertainty in transferring risk to the carbon market when systemic events occur our research provides meaningful information to investors and policy makers

why do entrepreneurs enter politics evidence from china this article examines the determinants of the entrepreneur s political participation by employing a unique matched firm institution data set from china we find that the likelihood of an entrepreneur s participation can be explained by the underdevelopment of markets and market supporting institutions according to our estimates the probability of entering politics decreases by 8 20 from the mean when the institutional indices improve by one standard deviation our findings support the view that the institutional environment shapes the private entrepreneur s motivation to participate in politics they also provide an example of how private entrepreneurs respond to state market failure in developing and transition countries jel g1 h00 o10 p2 p3