an economic theory of self control the concept of self control is incorporated in a theory of individual intertemporal choice by modeling the individual as an organization the individual at a point in time is assumed to be both a farsighted planner and a myopic doer the resulting conflict is seen to be fundamentally similar to the agency conflict between the owners and managers of a firm both individuals and firms use the same techniques to mitigate the problems which the conflicts create this paper stresses the implications of this agency model and discusses as applications the effect of pensions on saving saving and the timing of income flows and individual discount rates

information rigidities inflation perceptions and the media lessons from the euro cash changeover the objective of theoretical models of information rigidities is to capture the fact that people are constrained in their ability to acquire and process all available information given that most people obtain their information about the economy from the media press coverage of the economy may exert an influence on peoples attitudes this paper tests for this influence by examining consumers inflation perceptions in the aftermath of the euro cash changeover which serves as a natural experiment using a new data set that quantifies the intensity and tone of media reports we document that media reporting has had a statistically significant and economically meaningful impact on inflation perceptions and contributed to their sharp rise in the aftermath of the euro cash changeover and to the divergence between inflation perceptions and actual inflation rates jel e53 d83

growth forecasts belief manipulation and capital markets abstract we analyze how a benevolent privately informed government agency would optimally release information about the economy s growth rate when the agents hold heterogeneous beliefs we model two types of agent conforming and dissenting the former has a prior that is identical to that of the government agency whereas the latter has a prior that differs from that of the government agency we identify both informative and uninformative equilibria informative equilibria are equilibria in which the government agency s equilibrium signal leads to a revision of beliefs we demonstrate that the uninformative equilibria can in fact dominate the informative ones in terms of ex post social welfare

sticky information phillips curves european evidence we estimate the sticky information phillips curve model of mankiw and reis 2002 using survey expectations of professional forecasters from four major european economies our estimates imply that in ation expectations in france germany and the united kingdom are updated about once a year in italy about once each six months

perceiving prospects properly when an agent chooses between prospects noise in information processing generates an effect akin to the winner s curse statistically unbiased perception systematically overvalues the chosen action because it fails to account for the possibility that noise is responsible for making the preferred action appear to be optimal the optimal perception patterns share key features with prospect theory namely overweighting of small probability events and corresponding underweighting of high probability events status quo bias and reference dependent s shaped valuations these biases arise to correct for the winner s curse effect

factor related and specific returns of common stocks serial correlation and market inefficiency one of the most basic tests of market efficiency is the test for serial correlation of returns if the return on a typical stock in period t is correlated with its return in period t 1 then the best unbiased minimum mean square error prediction for the return in period t equals the prior return multiplied by the correlation coefficient an investor concerned only about the mean and variance of portfolio return would use the prediction to improve the mean variance trade off of portfolio return by shading the portfolio toward stocks predicted to have high returns and away from stocks predicted to have low returns hence using knowledge about the previous month s returns the investor produces a portfolio with superior mean variance performance this violates the weak form of market efficiency fama 1 in the sense that the expected return for each stock based upon knowledge of the previous month s return is different from the expected return based only upon the current stock price the same argument may be applied to any component of returns as distinct from total return for example in a linear multiple factor plus specific return model of security returns total excess return is decomposed into factor related return and specific return the empirical results in this paper find positive serial dependence in the factor related component and negative serial dependence in the specific component which nearly offset one another resulting in zero correlation in total excess returns formally

a simple algorithm to incorporate transactions costs in quadratic optimisation quantitative fund management invariably involves portfolio performance being measured in terms of a quadratic objective function due to the inclusion of variance terms as a measure of risk periodically the constituents of the fund are adjusted to improve performance this adjustment incurs a transaction cost which is a modulus function of the changes in holdings thus the fund manager wishes to minimise a combined quadratic and modulus function this paper presents a new approach to deal with the minimisation of this hybrid function using a well tried quadratic programming algorithm the new algorithm is demonstrated using a tactical asset allocation problem and an equity index tracking fund

drivers of electricity price dynamics comparative analysis of spot and futures markets abstract against the backdrop of numerous evidence that variable renewable generation decreases electricity prices and increases price volatility this paper assesses the drivers of electricity prices in spot and futures markets focusing on the german electricity markets we take into account nonlinearities in electricity prices by means of structural breaks and threshold regressions we find that short run and medium long run price drivers differ and more importantly that they vary over time in the case of the spot market the determinants of prices are renewable infeed and electricity demand while in the futures market the main drivers are natural gas coal and carbon prices our results give relevant insights for market participants who seek to optimize procurement selling strategies in the spot market and use the futures market to hedge against spot price volatility which has increased due to a higher renewable generation

a quantitative comparison of sticky price and sticky information models of price setting i estimate sticky price and sticky information models of price setting for the united states via maximum likelihood techniques reaching several conclusions first the sticky price model fits best and captures inflation dynamics as well as reduced form equations once hybrid behavior is allowed second the importance of hybrid behavior in sticky price models is potentially consistent with a role for some information imperfections such as sticky information as a complement to nominal price rigidities finally the favorable results herein for the hybrid sticky price model when evaluated by statistics that summarize the relative fit of different models is consistent with the existing literature that is both supportive and dismissive of such models as this literature has largely ignored fit in evaluating such models many previous studies have focused on ancillary issues such as the standard errors associated with certain parameters or granger causality tests that may not provide much information about sticky price models

renewable generation and electricity prices taking stock and new evidence for germany and austria abstract economic theory predicts that the increase of renewable electricity production should reduce the price of electricity in the short run which is also known as the merit order effect although the merit order effect is only one of several consequences of renewable production on the electricity system it is crucial to determine its size for the economic evaluation of renewable energies in this paper we present a comprehensive overview of relevant past research results on the price effect of renewables additionally we conduct a new empirical analysis of the price effect of renewable production for the austrian german region a market that clearly qualifies for a merit order effect analysis given its characteristics based on the review and our own analysis we show that the merit order effect varies depending on the region and the assessment method chosen we also find that the size of this effect is less dispersed throughout different markets than previously suggested by the literature

the danish green certificate system some simple analytical results we formulate a simple static equilibrium model for the electricity market taking account of both green certificates and co2 emission permits the objective is to investigate the relationship between these markets under the existence of upper and lower price bounds on the green certificates both in the short and in the long run we perform various comparative static changes of the parameters of the model and study how these affect the endogenous variables of the model as well as producers and consumers surplus we also investigate the effects of imports and exports of electricity several comparative static results are derived and in particular it is shown that harsher co2 emission constraints and increased import wholesale price both may lead to reduced capacity of green electricity

an evolutionary heuristic for the index tracking problem abstract index tracking is a popular form of passive fund management the index tracking problem is the problem of reproducing the performance of a stock market index but without purchasing all of the stocks that make up the index our formulation of the problem explicitly includes transaction costs associated with buying or selling stocks and a limit on the total transaction cost that can be incurred our formulation also includes a constraint limiting the number of stocks that can be purchased an evolutionary heuristic population heuristic is presented for the solution of the index tracking problem reduction tests are also presented computational results are presented for five data sets drawn from major world markets these data sets are made publicly available for use by other workers

international evidence on the efficacy of new keynesian models of inflation persistence in this paper we take an agnostic view of the phillips curve debate and carry out an empirical investigation of the relative and absolute efficacy of calvo sticky price sp sticky information si and sticky price with indexation models spi with emphasis on their ability to mimic inflationary dynamics in particular we look at evidence for a group of 13 oecd countries and we consider three alternative measures of inflationary pressure including the output gap labor share and unemployment we find that the calvo sp and the si models essentially perform no better than a strawman constant inflation model when used to explain inflation persistence indeed virtually all inflationary dynamics end up being captured by the residuals of the estimated versions of these models we find that spi model is preferable because it captures the type of strong inflationary persistence that has in the past characterized the economies of the countries in our sample however two caveats to this conclusion are that improvement in performance is driven mostly by the time series part of the model i e lagged inflation and that the spi model overemphasizes inflationary persistence thus there appears to be room for improvement via either modified versions of the above models or via development of new models that better track inflation persistence

on the market impact of wind energy forecasts this paper presents an analysis of how day ahead electricity spot prices are affected by day ahead wind power forecasts demonstration of this relationship is given as a test case for the western danish price area of the nord pool s elspot market impact on the average price behaviour is investigated as well as that on the distributional properties of the price by using a non parametric regression model to assess the effects of wind power forecasts on the average behaviour the non linearities and time variations in the relationship are captured well and the effects are shown to be quite substantial furthermore by evaluating the distributional properties of the spot prices under different scenarios the impact of the wind power forecasts on the price distribution is proved to be considerable the conditional price distribution is moreover shown to be non gaussian this implies that forecasting models for electricity spot prices for which parameters are estimated by a least squares techniques will not have gaussian residuals hence the widespread assumption of gaussian residuals from electricity spot price models is shown to be inadequate for these model types the revealed effects are likely to be observable and qualitatively similar in other day ahead electricity markets significantly penetrated by wind power

prospect theory as efficient perceptual distortion the paper proposes a theory of efficient perceptual distortions in which the statistical relation between subjective perceptions and the objective state minimizes the error of the state estimate subject to a constraint on information processing capacity the theory is shown to account for observed limits to the accuracy of visual perception and then postulated to apply to perception of options in economic choice situations as well when applied to choice between lotteries it implies reference dependent valuations and predicts both risk aversion with respect to gains and risk seeking with respect to losses as in the prospect theory of kahneman and tversky 1979

frictions or mental gaps what s behind the information we don t use and when do we care consumers suffer significant losses from not acting on available information these losses stem from frictions such as search costs switching costs and rational inattention as well as what we call mental gaps resulting from wrong priors worldviews or relevant features of a problem not being top of mind most research studying such losses does not empirically distinguish between these mechanisms instead we show that most highly cited papers in this area presume one mechanism underlies consumer choices and assume away other potential explanations or collapse many mechanisms together we discuss the empirical difficulties that arise in distinguishing between different mechanisms and some promising approaches for making progress in doing so we also assess when it is more or less important for researchers to distinguish between these mechanisms approaches that seek to identify true value from demand without specifying mechanisms behind this wedge are most useful when researchers are interested in evaluating allocation policies that strongly steer consumers towards better options with regulation traditional policy instruments and defaults on the other hand understanding the precise mechanisms underlying consumer losses is essential to predicting the impact of mechanism policies aimed primarily at reducing specific frictions or mental gaps without otherwise steering consumers we make the case that papers engaging with these questions empirically should be clear about whether their analyses distinguish between mechanisms behind poorly informed choices and what that implies for the questions they can answer we present examples from several empirical contexts to highlight these distinctions

choosing between time and state dependence micro evidence on firms price reviewing strategies because of recent findings based on survey data it is now well known that firms differ from each other with respect to their price reviewing strategies while some firms review their prices at fixed intervals of time others prefer to perform price revisions in response to changes in economic conditions some theories have been suggested to explain this however empirical evidence on the relative importance of the factors that determine the different strategies of firms is virtually non existent in this paper we help to fill this gap by investigating the factors that explain why firms follow time dependent state dependent or both time and state dependent price reviewing rules we find that the strategies of firms vary with firm characteristics that have a bearing on the importance of information costs with the variability of the optimal price and with the sensitivity of profits to non optimal prices

the expected price of keeping up with the joneses abstract inflation expectations elicited in surveys have been found to exhibit large dispersion across individuals although several explanations have been proposed none fully explain this puzzle we explore in this paper a new behavioral factor social comparison using original survey data we find that respondents who feel they are falling behind compared to their peers report significantly and substantially higher inflation expectations we argue that this result is consistent with an experience based belief formation model in which those unable to keep up with the joneses overweight the high prices of aspiration goods they are unable to purchase

a quantized approach to rational inattention abstract in this paper i propose a model of rational inattention where the choice variable is a deterministic function of the exogenous variables and still only a finite amount of information is being used this holds provided the choice variable is discrete rather than continuous that is the mapping from the realization of the exogenous variables to the endogenous ones is piece wise constant thus limited information is now a source of lumpiness in behavior rather than a source of noise the approach is applied to a simple static model of price setting where individual price setters face aggregate monetary shocks and idiosyncratic productivity shocks the effect of aggregate money shocks on output and prices is studied it is shown that as the variance of idiosyncratic shocks become large the aggregate log price level converges to a linear function of the aggregate money shock with a coefficient which is strictly between 0 and 1 consequently unanticipated aggregate money shocks have real effects on output in contrast to the sticky price model of caplin and spulber 1987 but these effects are smaller than in standard rational inattention models or in the lucas 1972 misperception model

foundations for optimal inattention abstract this paper models an agent who has a limited capacity to pay attention to information and thus conditions her actions on a coarsening of the available information an optimally inattentive agent chooses both her coarsening and her actions by maximization of an underlying subjective expected utility preference relation net of a cognitive cost of attention the main result axiomatically characterizes the conditional choices of actions by an agent that are necessary and sufficient for her behavior to be seen as if it is the result of optimal inattention observing these choices permits unique identification of the agent s utility index the information to which she pays attention her attention cost and her prior whenever information is costly

inattentive professional forecasters abstract using the ecb survey of professional forecasters to characterize expectations at the micro level we emphasize two new facts forecasters i fail to systematically update their forecasts and ii disagree even when updating it is moreover found that forecasters have predictable forecast errors these facts are qualitatively supportive of recent models of inattention and suggest a setup where agents imperfectly process information due to both sticky information a la mankiw reis and noisy information a la sims however building and estimating such an expectation model we find that it cannot quantitatively replicate the error and disagreement observed in the data

what can survey forecasts tell us about information rigidities a lot we derive common and conflicting predictions from models in which agents face information constraints and then assess their validity using surveys of consumers firms central bankers and professional forecasters we document that mean forecasts fail to completely adjust on impact to shocks leading to statistically and economically significant deviations from the null of full information the dynamics of forecast errors after shocks are consistent with the predictions of models with information rigidities the conditional responses of forecast errors and disagreement among agents can also be used to differentiate between some of the most prominent models of information rigidities

interactions between the power and green certificate markets abstract the current trend of liberalising the power markets is combined with ambitious deployment plans for power production based on renewable energy supplies a new policy scheme to ensure this extension has been developed in the form of a green certificate system with a politically determined target of deployment in such a system producers of renewably based electricity receive tradable certificates in proportion to the electricity they produce the producer can thereby sell these certificates and receive additional revenue apart from the power price this paper studies the price and consumption effects of such a system with a simple model we show that the effects are ambiguous this ambiguity is caused by the interaction between the two markets therefore the green certificate system is difficult to manage if the state has parallel energy targets such as a desired deployment of renewably based energy and a stabilisation or reduction of the energy consumption in addition this complicates the regulation through a deployment target of renewably based power production as the regulator has to be aware of the different effects which follow a specific target until now these effects have not been considered in the analyses of the green certificate system when introducing the system even though it might have considerable consequences for the success of the system

actively learning by pricing a model of an experimenting seller this article presents a model of a rational seller who is actively learning the slope of his demand curve via his pricing strategy consequently this seller optimally experiments with his price resulting price patterns show a tendency for discreteness as observed in the data which has proved to be a major challenge to most price setting models the experimentation motive can also replicate the observation that prices are more volatile than costs as well as the presence of many idiosyncratic price changes in the data it can do so without a need to assume the existence of large idiosyncratic shocks

the merit order effect a detailed analysis of the price effect of renewable electricity generation on spot market prices in germany the german feed in support of electricity generation from renewable energy sources has led to high growth rates of the supported technologies critics state that the costs for consumers are too high an important aspect to be considered in the discussion is the price effect created by renewable electricity generation this paper seeks to analyse the impact of privileged renewable electricity generation on the electricity market in germany the central aspect to be analysed is the impact of renewable electricity generation on spot market prices the results generated by an agent based simulation platform indicate that the financial volume of the price reduction is considerable in the short run this gives rise to a distributional effect which creates savings for the demand side by reducing generator profits in the case of the year 2006 the volume of the merit order effect exceeds the volume of the net support payments for renewable electricity generation which have to be paid by consumers

on the optimal selection of portfolios under limited diversification abstract we address the problem of selecting portfolios which maximize the ratio of the average excess return to the standard deviation among all those portfolios which comprise at most a pre specified number k of securities under the assumptions of constant pairwise correlations and no short selling we argue that the simple ranking procedure of elton gruber and padberg effectively solves the problem for all values of k and that as a function of k the optimal ratio increases at a decreasing rate we also clarify why further generalization or extension of our results to other situations is improbable

investment dynamics with information costs investment in physical capital at the micro level is infrequent and large or lumpy the most common explanation for this is that firms face non convex physical adjustment costs the model developed in this paper shows that information costs make investment lumpy at the micro level even in the absence of non convex adjustment costs when collecting and processing information is costly the firm optimally chooses to do it sporadically and to be inactive most of the time this behavior results in infrequent and possibly large capital adjustments the model fits plant level investment rate moments well and it also matches some higher order moments of aggregate investment rates keywords investment dynamics information costs inattentiveness lumpy investment jel classification d21 d83 d92 e22

the impact of renewables on electricity prices in germany an update for the years 2014 2018 abstract increasing electricity prices for private consumers manifested the idea of price boosting renewable energy sources in germany s public opinion literature however widely concurs that wind and photovoltaics have a reducing effect on spot market electricity prices the underlying merit order effect led to historically low exchange prices in the past years to quantify this effect this study analyses historic demand and supply curves from the german day ahead market to reconstruct electricity prices without the feed in of wind and photovoltaics from 2014 to 2018 results show that renewable energy sources considerably reduced electricity prices by between 2 89 ct kwh in 2014 to 8 89 ct kwh in 2017 this allowed german end consumers to save a total of 40 billion from 2014 to 2018 additionally wind and pv contributed significantly to security of supply demand could not have been met by domestic conventional and nuclear generation capacities in up to 424 hours in 2018 the study highlights the necessity to further speed up the expansion of wind and photovoltaics

an ex post analysis of the effect of renewables and cogeneration on spanish electricity prices abstract growing concerns about climate change and energy dependence are driving specific policies to support renewable or more efficient energy sources such as cogeneration in many regions particularly in the production of electricity these policies have a non negligible cost and therefore a careful assessment of their impacts seems necessary in particular one of the most debated impacts is their effect on electricity prices for which there have been some ex ante studies but few ex post studies this article presents a full ex post empirical analysis by looking at use of technologies and hourly electricity prices for 2005 2009 in spain to study the effects that the introduction of renewable electricity and cogeneration has had on wholesale electricity prices it is particularly interesting to perform this study in spain where an active system of public support to renewables and cogeneration has led to a considerable expansion of these energy sources and electricity pricing is at the center of intense debate the paper reports that a marginal increase of 1 gwh of electricity production using renewables and cogeneration is associated with a reduction of almost 2 per mwh in electricity prices around 4 of the average price for the analyzed period

bounded rationality lifecycle consumption and social security abstract this paper explores an overlapping generations model of bounded rationality in which consumers only foresee the future over a subset of their life span we focus in particular on whether the model can in general equilibrium produce a hump shaped lifecycle consumption profile with a peak that matches data for the average u s consumer for a simple four period model we show that an increasing income profile along with exogenously imposed retirement are sufficient to induce a hump with no other mechanism that can account for a hump besides bounded rationality the model best fits the salient features of consumption data with a planning horizon of 20 years which is well supported by the behavioral evidence found in surveys on retirement planning finally we show that the age of the consumption peak is robust to the introduction of social security mortality risk and another species of bounded rationality quasihyperbolic discounting moreover social security can be welfare improving with a short planning horizon we can calibrate the model to jointly explain the timing of the consumption hump and the optimality of the current social security system with quasihyperbolic discounting instead we can calibrate the model so the current social security system is optimal but we cannot also account for the timing of the consumption hump if we add quasihyperbolic discounting in addition to a short planning horizon the present bias has a negligible effect in equilibrium

the effect of wind and solar power forecasts on day ahead and intraday electricity prices in germany abstract this study analyzes the effects of wind and solar power generation forecasts on electricity prices converse to the existing empirical literature in this area we apply a panel data analysis to control for endogeneity due to unobserved heterogeneity we use a dataset with 24 daily observations of day ahead and intraday prices from 2010 to 2016 and we apply a fixed effects regression under consideration of robust driscoll kraay standard errors a noteworthy element of the regression model is the simulation based design of a variable indicating the power generation technology that is price determining at a certain point in time in this context we differentiate between the fuel types coal gas and others to model the nonlinear price behavior for a varying demand for 2016 we find price dampening effects of both wind and solar power of approximately 0 6 mwh per additional gwh of feed in along with the rapidly increasing shares of wind and solar power of the total power generation during the last years their price dampening effect has declined since 2013 due to a drop in fuel prices another finding is that a reduction in forecasting errors on the power generation from wind and solar and smoothing of the cyclical demand would lead to a decreased price volatility

setting the right prices for the wrong reasons we consider a model of nominal price adjustment with firm specific and aggregate shocks to economic fundamentals and incomplete dispersed information firms update their expectations about fundamentals based on their own cash flows revenues and wages we show that in a model with realistic levels of product level price dispersion the firms inference about aggregate shocks is very gradual yet in the aggregate prices adjust rapidly in response to aggregate nominal shocks when an aggregate shock occurs firms mistakenly attribute it to firm specific shocks but adjust prices nevertheless since the exact nature of the shock matters little for its optimal pricing decision

quantitative easing is not as unconventional as it seems policy interest rates do not have to be short the means by which monetary authorities influence prices and quantities can differ but the obstacles to altering one rather than the other are not insuperable inflation is sluggish and expectations of future interest rates long and short nominal and real are diverse and uncertain these factors determine the limited power that monetary authorities enjoy when they conduct quantitative easing but this policy is not as unconventional as some have claimed and indeed can be viewed as broadly similar to conventional monetary measures the impact of quantitative easing however could be very different depending on the underlying structure of the economy and the fiscal authorities responses finally we note some important caveats that must be borne in mind when trying to evaluate the impact of quantitative easing particularly given the fact that the world s main financial markets are closely linked copyright 2012 oxford university press

statistical testing of bounded rationality with applications to the newsvendor model abstract in this paper we define bounded rationality in terms of probabilistic cost efficiency this establishes a framework where bounded rationality can be examined rigorously by statistical methods we apply this theory to data from laboratory experiments on the newsvendor model we enter into a theoretical discussion of the classical pull to center effect and explain why underorders are typically larger than overorders

were there regime switches in u s monetary policy working paper 2004 14 june 2004 abstract a multivariate model identifying monetary policy and allowing for simultaneity and regime switching in coefficients and variances is confronted with u s data since 1959 the best fit is with a model that allows time variation in structural disturbance variances only among models that also allow for changes in equation coefficients the best fit is for a model that allows coefficients to change only in the monetary policy rule that model allows switching among three main regimes and one rarely and briefly occurring regime the three main regimes correspond roughly to periods when most observers believe that monetary policy actually differed and the differences in policy behavior are substantively interesting though statistically ill determined the estimates imply monetary targeting was central in the early 80s but was also important sporadically in the 70s the changes in regime were essential neither to the rise in inflation in the 70s nor to its decline in the 80s jel classification e52 e47 c53 key words counterfactuals lucas critique policy rule monetary targeting simultaneity volatility model comparison i the debate over monetary policy change in an influential paper clarida gali and gertler 2000 cgg presented evidence that us monetary policy changed between the 1970 s and the 1980 s indeed that in the 70 s it was drastically worse they found that the policy rule apparently followed in the 70 s was one that when embedded in most stochastic general equilibrium models would imply non uniqueness of the equilibrium and hence vulnerability of the economy to sunspot fluctuations of arbitrarily large size their estimated policy rule for the later period on the other hand eliminated this indeterminacy these results are a possible explanation of the volatile and rising inflation of the 70 s and of its subsequent decline the cgg analysis has two important weaknesses one is that it fails to account for stochastic volatility us macroeconomic variables and particularly the federal funds rate have gone through periods of tranquility and of agitation with forecast error variances varying greatly from period to period ignoring such variation does not lead to inconsistent estimates of model parameters when the forecasting equations themselves are constant but it strongly biases toward a finding of changed parameters tests of the stability of the forecasting equations the other weakness is that the cgg analysis rests on powerful and implausible identifying assumptions they require that we accept that the response of the monetary authority to expected future inflation and output does not depend on the recent history of inflation money growth or output it is hard to understand why this should be so especially in the 70 s when monetarism was a prominent theme in policy debates congress was requiring reports from the fed of projected time paths of monetary aggregates and financial markets were reacting sensitively to weekly money supply numbers the requirement for existence and uniqueness of equilibrium in dynamic models is that the monetary policy rule show a more than unit response of interest rates to the sum of the logs of all nominal variables that appear on the right hand side of the reaction function if we force a particular measure of expected future inflation to proxy for all the nominal variables that actually appear independently in the reaction function we are bound to get distorted conclusions on the one hand because expected future inflation will be a noisy measure of the full set of nominal influences on policy we might get downward bias in our estimates from the usual errorsin variables effect on the other hand to the extent that expected future inflation like most expected future values shows less variation than current nominal variables we could find a mistaken scaling up of coefficients

estimating temperature effects on the italian electricity market abstract this paper provides empirical evidence of the effects that weather conditions exert on the electricity market offering a new contribution to the understanding of hourly regional price formation in the day ahead market in italy the empirical estimation uses a new data set of hourly data on both market variables and temperature variables there is a vast body of literature on the effect of temperature on final consumers and on wholesale electricity market equilibrium however the influence of temperature on the behavior of the wholesale electricity market has not been studied at the hourly level a new econometric estimation shows some evidence of different effects of temperature and provides a more accurate estimation of the hourly prices forecasting out of sample performance of the model is satisfactory the present results have welfare improving policy implications because appropriate policy strategies can help public decision makers promote regulation such as issuing public weather alert and designing contingent plans to face extreme weather conditions which improves production efficiency network management and consumer saving behavior taking specific weather conditions into account

implications of rational inattention abstract a constraint that actions can depend on observations only through a communication channel with finite shannon capacity is shown to be able to play a role very similar to that of a signal extraction problem or an adjustment cost in standard control problems the resulting theory looks enough like familiar dynamic rational expectations theories to suggest that it might be useful and practical while the implications for policy are different enough to be interesting

dynamic analysis of the german day ahead electricity spot market abstract this paper analyzes the dynamic behavior of day ahead spot prices in the german electricity spot market due to positive structural shocks in wind and solar power it uses a dynamic structural vector autoregressive model to estimate the related structural impulse response functions the estimates suggest that wind power shocks have a more prolonged negative effect on spot prices than solar power shocks significant autocorrelations of wind power for larger lags indicate these results the total negative merit order effect of a solar power shock is larger when using a reasonable model specification one reason might be that solar power shocks coincide with demand peaks however results regarding the relation of the effects of wind and solar should be dealt with carefully because these results do not hold for all specifications past static estimates show differences in the total average negative merit order effects these estimates might be overstated if wind and solar power dynamics are transferred to the merit order effects

asymmetric decoy effects on lower quality versus higher quality brands meta analytic and experimental evidence prior research demonstrates that adding decoys to choice sets can increase choice shares of brands similar to decoys while reducing shares of brands dissimilar to decoys such effects have been dubbed attraction effects and violate the principles of independence of irrelevant alternatives ha and regularity we report a meta analysis that in addition to revealing heretofore unsupported range effects demonstrates an effect of brand quality decoys reduce shares of lower quality competitors more than they reduce shares of higher quality competitors moreover whereas iia is violated throughout regularity is violated only when higher quality brands are targeted decoys increase shares of higher quality brands but typically do not increase shares of lower quality brands to assess the generalizability of the meta analytic pattern we tested decoy effects on two distinct populations in a large experiment the more traditional population replicated the meta analytic pattern standard asymmetry while the more nontraditional population reversed it these findings suggest that while the standard asymmetry is replicable it may not generalize to all market segments

the merit order effect of wind and photovoltaic electricity generation in germany 2008 2016 estimation and distributional implications abstract generation from renewable energy sources in germany has experienced a considerable uptake in recent years mainly responsible for this development is the german renewable energy sources act erneuerbare energien gesetz eeg this paper considers redistributive implications of the eeg for different electricity consumers using time series regression analysis we show that electricity generation by wind and pv has reduced spot market prices considerably by 6 mwh in 2010 rising to 10 mwh in 2012 we use these results to build a near term forecasting tool for merit order effects projected to reach 14 16 mwh in 2016 on the other hand the costs of the eeg are passed forward to consumers in the form of a surcharge our findings highlight significant redistributive transfers under the current design of the eeg in particular some energy intensive industries are benefiting from lower wholesale electricity prices whilst being largely exempted from contributing to the costs of the scheme we also highlight implications of our results for other areas for reform of the eeg such as adequate remuneration mechanisms that ensure efficient operation and investment decisions are made under the scheme more generally these findings suggest that policy makers need to integrate distributional assessments into policy design and implementation