incorporating process based crop simulation models into global economic analyses climate change will significantly affect agricultural production significantly economic models that include the agricultural sector must capture two major effects from climate change first there is the impact on plant growth secondly there are the resulting behavioral responses of producers such as changes in input baskets crop and cultivar selection planting dates and management technologies such production changes will take place in the context of consumers responding to available production as well as their own evolving preferences this article examines the use of crop modeling techniques to assess the physical consequences of climate change and how these effects can be combined with economic models looking into the future

the brevity and violence of contractions and expansions abstract early studies of business cycles argued that contractions in economic activity were briefer shorter and more violent rapid than expansions this paper systematically investigates this claim and in the process discovers a robust new business cycle fact contractions in employment are briefer and more violent than expansions but we cannot reject the null of equal brevity and violence for expansions and contractions in output the difference arises because employment typically lags output around peaks but they coincide in their troughs we discuss the performance of existing business cycle models in accounting for this fact and conclude that none can fully account for it we then show that a business cycle model with asymmetric adjustment costs on employment and a choice of when to scrap old technologies can account for the business cycle fact both qualitatively and quantitatively

the relationship between resilience and sustainability of ecological economic systems resilience as a descriptive concept gives insight into the dynamic properties of an ecological economic system sustainability as a normative concept captures basic ideas of intergenerational justice when human well being depends on natural capital and services thus resilience and sustainability are independent concepts in this paper we discuss the relationship between resilience and sustainability of ecological economic systems we use a simple dynamic model where two natural capital stocks provide ecosystem services that are complements for human well being to illustrate different possible cases of the relationship between resilience and sustainability and to identify the conditions under which each of those will hold a resilience of the system is necessary but not sufficient for sustainability b resilience of the system is sufficient but not necessary for sustainability c resilience of the system is neither necessary nor sufficient for sustainability and d resilience is both necessary and sufficient for sustainability we conclude that more criteria than just resilience have to be taken into account when designing policies for the sustainable development of ecological economic systems and vice versa the property of resilience should not be confused with the positive normative connotations of sustainability c 2011 elsevier b v all rights reserved

labor market and financial shocks a time varying analysis motivated by the events of the great recession we estimate a time varying structural var model to analyze the effects of a financial shock on the labor market focusing on the us our results indicate that a tightening of financial conditions is highly detrimental to the labor market moreover we show that financial shocks have affected the unemployment rate asymmetrically in the last three decades an implication that a standard var cannot capture while negative financial shocks have been responsible for increases in unemployment our model does not find significant contributions of financial shocks during periods of expansion the source of this asymmetry is the time varying standard deviation of the identified shock which is higher in times of financial distress on the other hand we find the transmission mechanism is almost constant over time

welfare cost of fluctuations when labor market search interacts with financial frictions we provide a quantitative assessment of welfare costs of fluctuations in a search model with financial frictions the matching process in the labor market leads positive shocks to reduce unemployment less than negative shocks increase it we show that the magnitude of this non linearity is magnified frictions this asymmetric effect of the business cycle leads to sizable welfare costs the model also accounts for the responsiveness of the job finding rate to the business cycle as financial frictions endogenously generate counter cyclical opportunity costs of opening a vacancy and wage sluggishness

a nonlinear approach to us gnp a univariate nonlinear model is estimated for us gnp that on many criteria outperforms standard linear models the estimated model is of the threshold autoregressive type and contains evidence of asymmetric effects of shocks over the business cycle in particular the nonlinear model suggests that the post 1945 us economy is significantly more stable than the pre 1945 us economy

resilience in the dynamics of economy environment systems the ecological concept of resilience has begun to inform analysis of change in economy environment systems the linkages between resilience and the stability of dynamical systems are discussed along with its role in understanding of the evolution of such systems particular linkages discussed include those between resilience biodiversity and the sustainability of alternative states recent developments in modelling the resilience of joint economy environment systems suggest the advantages of analysing change in the system as a markov process the transition probabilities between states offering a natural measure of the resilience of the system in such states it is argued that this emergent property of the collaboration between ecology and economics has far reaching implications for the way we think about model and manage the environmental sustainability of economic development

nonlinear time series analysis of stock volatilities summary the absolute value of the mean corrected excess return is used in this paper to measure the volatility of stock returns we apply various nonlinearity tests available in the literature to show that such volatility series are strongly nonlinear we then explore the use of threshold autoregressive tar models in describing monthly volatility series the models built suggest that the volatility series exhibit significant lower order serial correlations when the volatility is large indicating certain volatility clustering in stock returns out of sample forecasts are used to compare the tar models with linear arma models and nonlinear garch and egarch models based on mean squared error and average absolute deviation the comparisons show that a the tar models consistently outperform the linear arma models in multi step ahead forecasts for large stocks b the tar models provide better forecasts than the garch and egarch models also for the volatilities of large stock returns and c the egarch model gives the best long horizon volatility forecasts for small stock returns

inflation dynamics during the financial crisis using confidential product level price data underlying the u s producer price index ppi this paper analyzes the effect of changes in firms financial conditions on their price setting behavior during the great recession that surrounds the financial crisis the evidence indicates that during the height of the crisis in late 2008 firms with weak balance sheets increased prices significantly relative to industry averages whereas firms with strong balance sheets lowered prices a response consistent with an adverse demand shock these stark differences in price setting behavior are consistent with the notion that financial frictions may significantly influence the response of aggregate inflation to macroeconomic shocks we explore the implications of these empirical findings within a general equilibrium framework that allows for customer markets and departures from the frictionless financial markets in the model firms have an incentive to set a low price to invest in market share though when financial distortions are severe firms forgo these investment opportunities and maintain high prices in an effort to preserve their balance sheet capacity consistent with our empirical findings the model with financial distortions relative to the baseline model without such distortions implies a substantial attenuation of price dynamics in response to contractionary demand shocks

google search keywords that best predict energy price volatility abstract internet search activity data has been widely used as an instrument to approximate trader attention in different markets this method has proven effective in predicting market indices in the short term however little attention has been paid to demonstrating search activity for keywords that best grab investor attention in different markets this study attempts to build the best practically possible proxy for attention in the market for energy commodities using google search data specifically we confirm the utility of google search activity for energy related keywords are significant predictors of volatility by showing they have incremental predictive power beyond the conventional garch models in predicting volatility for energy commodities prices starting with a set of ninety terms used in the energy sector the study uses a multistage filtering process to create combinations of keywords that best predict the volatility of crude oil brent and west texas intermediate conventional gasoline new york harbor and us gulf coast heating oil new york harbor and natural gas prices for each commodity combinations that enhance garch most effectively are established as proxies of attention the results indicate investor attention is widely reflected in internet search activities and demonstrate search data for what keywords best reveal the direction of concern and attention in energy markets

will u s agriculture really benefit from global warming accounting for irrigation in the hedonic approach will u s agriculture really benefit from global warming accounting for irrigation in the hedonic approach wolfram schlenker w michael hanemann and anthony c fisher there has been a lively debate about the potential impact of global climate change on u s agriculture most of the early agro economic studies predict large damages see for example richard m adams 1989 harry m kaiser et al 1993 and adams et al 1995 in an innovative paper robert mendelsohn william d nordhaus and daigee shaw 1994 hereafter mns propose a new approach using the variation in temperature and precipitation across u s counties to estimate a reduced form hedonic equation with the value of farmland as the dependent variable a change in temperature and or precipitation is then associated with a change in farmland value which can be interpreted as the impact of climate change adams et al 1998 characterize the hedonic approach as a spatial analogue approach and acknowledge that the strength of the spatial analogue approach is that structural changes and farm responses are implicit in the analysis freeing the analyst from the burden of estimating the e ects of climate change on particular region speci c crops and farmer responses on the other hand one of the potential disadvantages of the hedonic approach is that it is a partial equilibrium analysis i e agricultural prices are assumed to remain constant 1 while year to year uctuations in annual weather conditions certainly have the potential to impact current commodity prices especially for crops produced only in a relatively localized area such as citrus fruits which are grown mainly in california and florida changes in long run weather patterns i e changes in climate might have a smaller e ect on commodity prices because of the greater potential for economic adaptation particularly shifts in growing regions 2 the hedonic approach as implemented by mns predicts that existing agricultural land on average might be more productive and hence result in bene ts for u s farmers 3 the hedonic approach has received considerable attention in our judgment in part because the conclusions are at variance with those of some other studies

earnings news and small traders an intraday analysis abstract this study separates trading volume into buyer and seller initiated activities and examines the directional volume reaction in small and large trades to different types of earnings news good bad news triggers brief but intense buying selling in the large trades however a persistent period of unusually high buying activity is observed in the small trades irrespective of the news this anomalous proclivity of small traders to buy is robust across firm size trading volume and different earnings expectation models several explanations are discussed although the behavior does not seem fully explained by existing theories

the transmission of us systemic financial stress evidence for emerging market economies abstract we provide empirical evidence that us systemic financial stress shocks us sfsss are an important driver of economic dynamics and fluctuations in emes applying a structural vector autoregression we analyze the international transmission of us sfsss to eight emes using monthly data from 1999 to 2012 us sfsss are identified as unexpected changes in the financial conditions index of the federal reserve bank of chicago findings indicate that a typical emerging market real economy experiences similar negative effects to those seen in the us real economy in response to us sfsss for international transmission our results emphasize that financial interconnectedness with the us is important relative to trade relations the analyzed cases of latin american economies suggest that indirect linkages are also important for transmitting the negative effects of us sfsss in general us sfsss act as a crucial driver of volatility in the emerging world also at business cycle frequencies

the impact of global warming on agriculture a ricardian analysis reply we measure the economic impact of climate on land prices using cross sectional data on climate farmland prices and other economic and geophysical data for almost 3 000 counties in the united states we find that higher temperatures in all seasons except autumn reduce average farm values while more precipitation outside of autumn increases farm values applying the model to a global warming scenario shows a significantly lower estimated impact of global warming on u s agriculture than the traditional production function approach and in one case suggests that even without co sub 2 fertilization global warming may have economic benefits for agriculture 16 refs 5 figs 5 tabs

the dynamic dependence of fossil energy investor sentiment and renewable energy stock markets abstract this study investigates the dynamic directional information spillover of return and volatility between the fossil energy market investor sentiment towards renewable energy and the renewable energy stock market using the connectedness network approach empirical results show that the spillover effects of the volatility system are generally stronger than that of the return system which suggest that risk transmission among the markets is more obvious in both systems the impact of the fossil energy market especially crude oil on the renewable energy stock market is greater than the impact of investor sentiment on the renewable energy stock market this finding shows that the renewable energy stock market is closely related to the fossil energy market furthermore the rolling window approach is adopted to examine the time varying information spillover among them the dynamic findings suggest that investor sentiment towards renewable energy can explain the return and volatility of renewable energy stock to a certain degree

credit and economic activity credit regimes and nonlinear propagation of shocks in this paper we examine empirically whether credit plays a role as a nonlinear propagator of shocks this propagation takes the form of a threshold vector autoregression in which a regime change occurs if credit conditions cross a critical threshold using nonlinear impulseresponse functions we evaluate the dynamics implied by the threshold model these suggest that shocks have a larger effect on output in the tight credit regime than is normally the case and that contractionary monetary shocks typically have a larger effect than expansionary shocks finally using a nonlinear version of historical decompositions we attempt to determine the relative contribution to output growth of shocks and the nonlinear structure

more than mean effects modeling the effect of climate on the higher order moments of crop yields this article proposes the use of moment functions and maximum entropy techniques as a flexible approach for estimating conditional crop yield distributions we present a moment based model that extends previous approaches and is easily estimated using standard econometric estimators predicted moments under alternative regimes are used as constraints in a maximum entropy framework to analyze the distributional impacts of switching regimes an empirical application for arkansas mississippi and texas upland cotton demonstrates how climate and irrigation affect the shape of the yield distribution and allows us to illustrate several advantages of our moment based maximum entropy approach

time varying structural vector autoregressions and monetary policy a corrigendum this note shows how to apply the procedure of kim et al 1998 to the estimation of var dsge factor and unobserved components models with stochastic volatility in particular it revisits the estimation algorithm of the time varying var model of primiceri 2005 the main difference of the new algorithm is the ordering of the various mcmc steps with each individual step remaining the same

facts and challenges from the great recession for forecasting and macroeconomic modeling this paper provides a survey of business cycle facts updated to take account of recent data emphasis is given to the great recession which was unlike most other postwar recessions in the united states in being driven by deleveraging and financial market factors we document how recessions with financial market origins are different from those driven by supply or monetary policy shocks this helps explain why economic models and predictors that work well at some times do poorly at other times we discuss challenges for forecasters and empirical researchers in light of the updated business cycle facts

towards an ecological economics of sustainability abstract persistent disagreement both as to the interpretation to be given to sustainability and as to the relation between ecological and economic sustainability has hindered the development of an ecological economics of sustainable resource use this paper identifies the main concepts of sustainability deriving from the two disciplines in order to explore the difference implied by an ecological approach to the problem it is argued that present economic and ecological approaches are largely disjoint and that they address basically different phenomena by combining the efficiency requirements of what is usually thought of as economic sustainability with the stability requirements of an ecological approach it is shown that an intertemporally efficient allocation of resources that satisfies the conditions for constant levels of consumption is not necessary to assure ecological sustainability ecological sustainability requires that the allocation of economic resources should not result in the instability of the economy environment system as a whole

the time varying volatility of macroeconomic fluctuations we investigate the sources of the important shifts in the volatility of us mac roeconomic variables in the postwar period to this end we propose the esti mation of dsge models allowing for time variation in the volatility of the structural innovations we apply our estimation strategy to a large scale model of the business cycle and find that shocks specific to the equilibrium condition of investment account for most of the sharp decline in volatility of the last two decades jel c51 e32

building a composite help wanted index abstract this paper builds a measure of vacancy posting over 1951 2009 that captures the behavior of total print and online help wanted advertising and can be used for time series analysis of the us labor market

spillovers between the oil sector and the s p500 the impact of information flow about crude oil crude oil is one of the most important commodities in the real economy and as such the relationship between oil prices and broader equity markets has attracted a lot of research attention recent work has considered directional spillovers or links between oil and equity markets in recent times there has been a growing body of research into the impacts of news and media attention on asset returns both in the context of and in particular with both the oil and equity markets but also within each of these this paper considers how news or information flows about crude oil influence the spillover links between these assets using realized volatility estimates based on high frequency data the empirical analysis reveals a number of novel results in terms of the behavior of these linkages increased news flow about oil reduces the impact of the broader equity market on the oil sector implying that it is driven more by oil specific shocks and less by more general financial market conditions it also increases the impact of the oil sector on the broader equity market these results have potential implications for hedging and portfolio allocation

loan supply shocks during the financial crisis evidence for the euro area this paper employs a panel vector autoregressive model for the member countries of the euro area to explore the role of banks during the slump of the real economy that followed the financial crisis in particular we seek to quantify the macroeconomic effects of adverse loan supply shocks which are identified using sign restrictions we find that loan supply shocks significantly contributed to the evolution of the loan volume and real gdp growth in all member countries during the financial crisis however concerning both the timing and the magnitude of the shocks our results also indicate that the euro area was characterized by a considerable degree of cross country heterogeneity

opec in the news abstract this paper introduces a newspaper article count index related to opec that rises in response to important opec meetings and events connected with opec production levels i use this index to measure how interest in opec varies over time and investigate how oil price volatility behaves when the index unexpectedly changes i find that unexpected increases in the newspaper index are strongly associated with higher levels of oil price volatility both realized and implied in some cases these unexpected movements appear to be driven by an unpredictable opec event such as the iraq invasion of kuwait in other cases such as the oil price collapses in late 2008 and late 2014 unforeseen developments in the oil market or broader economy seem to generate the unexpected movements in price volatility and interest in opec the newspaper index is highly correlated with google search volume data on opec an alternative measure of the amount of attention paid to opec events

investor attention and crude oil prices evidence from nonlinear granger causality tests abstract using the google search volume index gsvi to measure investor attention this paper investigates the relationships between investor attention and crude oil prices for the main crude oil markets worldwide to account for possible structural breaks and nonlinearity in the relation between investor attention and oil returns fourier unit root test and nonlinear granger causality tests are employed the empirical results suggest that the bidirectional nonlinear granger causality exists only between investor attention and wti future crude oil return however wti crude oil return granger causes investor attention weakly for dubai spot daqing spot wti spot and brent future oil markets unidirectional nonlinear granger causality runs from investor attention to oil returns which is relatively weak

nonlinear dynamics and econometrics an introduction the empirical modelling of economic time series is dominated by methods that assume linearity of the underlying dynamic economic system the so called frisch slutsky paradigm the main a priori argument in favour of linearity and the reason for its original adoption is its simplicity autoregressive models can be estimated using standard regression packages and there is now a wide range of computer software packages available to estimate models with linear moving average components the dynamics contained in estimated models can be completely characterized by their impulse response functions and directly related to linear models of the macroeconomy the dominance of the frisch slutsky paradigm is not based on any strong a priori belief that the economic system is linear indeed once curvature is introduced into utility functions and or production functions nonlinearity is pervasive in theoretical dynamic models hence the shortage of closed form solutions nor is it based on any convincing empirical evidence that actual economic time series are best described as linear stochastic processes the lq optimization approach namely linear constraints and quadratic objective functions which underlies most econometric applications either implicitly or explicitly is undoubtedly attractive on analytical and computational grounds but can be highly deficient in areas where economic behaviour is dominated by asymmetric costs of adjustments irreversibilities transaction costs or institutional and physical rigidities the challenge facing applied econometrics in dealing with these issues is truly immense reliable statistical techniques are required for detecting dynamic nonlinearities stochastic optimization models that are capable of capturing the primary sources of dynamic nonlinearities and are suitable for empirical analysis need to be developed the possible effects of temporal aggregation and aggregation across commodities and agents need to be worked out in the context of nonlinear dynamic models these are complicated issues solutions to some of which have eluded us even in the case of linear models and promise to be far more complicated when we enter the realm of nonlinear dynamic models it is therefore natural to expect that real progress in the area of nonlinear dynamic econometric models will be slow and hard to come by nevertheless the past two decades have witnessed important advances in the mathematical and statistical analysis of dynamic systems particularly in physics epidemiology and meteorology many of these developments have already found their way into economics and

time variation in macro financial linkages summary we analyze the contribution of credit spread house and stock price shocks to the us economy based on a time varying parameter vector autoregressive model we find that the contribution of financial shocks to gross domestic product growth fluctuates from about 20 in normal times to more than 50 during the great recession the great recession and the subsequent weak recovery can largely be traced back to negative housing shocks housing shocks have become more important for the real economy since the early 2000s and negative housing shocks are more important than positive ones unexpected increases in credit spreads have not been deflationary recently copyright 2016 john wiley sons ltd

resilience weather and dynamic adjustments in agroecosystems the case of wheat yield in england the paper presents an investigation of agroecosystem dynamics with an application to wheat yield data in england over the period 1885 2012 the analysis relies on a threshold quantile autoregressive model the model allows for lag effects to vary across quantiles of the distribution as well as with the values taken by the lagged variables the analysis documents the dynamics and persistence of yield adjustments to shocks the estimates indicate the presence of dynamic instability in the lower quantile of the distribution the analysis shows that after controlling for the role of technological trend wheat yield exhibits resilience to adverse weather shocks

borrowing constraints collateral fluctuations and the labor market abstract this paper studies the effects of changes in collateral requirements on the cyclical properties of unemployment and job creation i develop a general equilibrium model in which labor market frictions prevent the costless adjustment of employment financial frictions arise from an imperfect enforcement contract an environment in which borrowing limits are linked to the firm s physical capital stock can quantitatively account for the sluggish response of labor market variables to productivity shocks i find that fluctuations in those variables are mainly driven by changes in financial conditions the model can explain 75 of the variation in job creation observed in the data and it can also account for the persistent reduction in both output and leverage that follows a contraction in credit availability

sustainable development and resilience in ecosystems two new important developments in environmental and resource economics is presented non convex dynamics of ecosystems and wealth as an indicator of sustainable development non convex dynamics imply existence of resilience that is the robustness of systems to withstand exogenous perturbations resilience can be regarded as an insurance against flips of the system into different basins of stability sustainable development according to the bruntland report is the provision of productive resources to future generations to make it possible for them to live as well as the present generation thus the value of changes in productive assets is therefore an index of whether an economy is on a sustainable path or not resilience can be regarded as one such productive asset and the paper discusses how one can define the value of this asset

does adaptation to climate change provide food security a micro perspective from ethiopia we examine the driving forces behind farmers decisions to adapt to climate change and the impact of adaptation on farmers food production we investigate whether there are differences in the food production functions of farm households that adapted and those that did not adapt we estimate a simultaneous equations model with endogenous switching to account for the heterogeneity in the decision to adapt or not and for unobservable characteristics of farmers and their farm we compare the expected food production under the actual and counterfactual cases that the farm household adapted or not to climate change we find that the group of farm households that adapted has systematically different characteristics than the group of farm households that did not adapt the relationship between production and average temperature is inverted u shaped for farm households that adapted while it is u shaped for farm households that did not adapt and vice versa in the case of precipitation we find that adaptation increases food production however the impact of adaptation on food production is smaller for the farm households that actually did adapt than for the farm households that did not adapt in the counterfactual case that they adapted