Accounting for regional variance heterogeneity of growth

This article explores heterogeneous behaviour in the conditional variance of growth. We find that regional effects account for a good part of this behaviour when modelled alone; however, regional effects themselves have no particular meaning. To this end, we try to empirically account for the regional effects using a large set of economic, political and demographic variables. Our results indicate that countries with past high levels of both investment and inflation cause growth to be less volatile today. Countries that have a greater number of changes in heads of government tend to experience lower growth volatility except in parliamentary democracies where the relationship reverses. The greater the number of effective parties the lower the volatility for all regime types. More strikes have no effect on volatility except for presidential democracies where volatility actually increases, while more open economies that share presidential and legislative powers also have more volatile growth rates.     

INTERTEMPORAL UTILITY SMOOTHING: THEORY AND APPLICATIONS

This paper reviews models of intertemporal choice designed to be consistent with a phenomenon called a preference for spread; that is, where a decision‐maker prefers to spread good and bad consumption evenly over time. We closely examine the notion of utility smoothing adopted in these models as a source of the preference for spread. The paper also reviews extensions of these models where a strong aversion to volatility involved in a utility sequence causes preferences to be nonmonotone. Furthermore, to gain a better understanding of the behaviour implied by these models, we apply them to the Diamond growth model.     

The impact of the Interaction between institutional quality and aid volatility on growth: theory and evidence

We analyze both theoretically and empirically, the effect of aid volatility and its interaction effect with institutional quality on per capita economic growth. Our theoretical model, in which an aid-recipient government, operating in an institutional environment of some given quality (making choices over the distribution of aid), predicts that a negative effect of aid volatility on growth is mitigated by stronger institutional quality. We use panel data covering the period 1984–2004 for 78 countries to test this theoretical prediction. Using Generalised Methods of Moments (GMM) we find the relationship between growth and aid volatility is significantly negative and depends on institutional quality. Our baseline results are robust to various computations of aid volatility and foreign aid, time periods, sub-samples and additional covariates.     

MILITARY SPENDING,THREATS AND STOCHASTIC GROWTH

This paper analyses the impact of home military spending and foreign military threat on economic growth in a stochastic endogenous growth model involving the supply‐side and demand‐side effects produced by military spending. The paper states that an increase in home military spending affects economic growth through three channels, including the crowding‐out effect, the spin‐off effect, and the resource mobilization effect. The net effect which depends on these three channels is ambiguous. Hence, we demonstrate that there exists an optimal defence burden that maximizes the economic growth rate. Furthermore, the optimal defence burden depends on the degree of risk preference. Namely, the optimal defence burden of the risk‐loving agent is more than that of the risk‐neutral agent, and in turn is more than that of the risk‐averse agent. At the same time, we prove that the relationship between the volatility in military spending and economic growth also depends on the degree of risk preference. In addition, we show that greater volatility in foreign military spending leads to a decrease in home aggregate consumption, and hence speeds up economic growth in the home country.     

Price Limits, Information Acquisition, and Bid–ask Spreads: Theory and Evidence

A number of futures markets use price limits which, in effect, preclude trade from occurring at prices outside certain exogenous bounds. Noting that such markets are characterized by heterogeneously informed traders, whereas previous work on price limits assumes symmetrically informed traders, we examine the effects of price limits in a setting where market participants are asymmetrically informed. We find that imposing price limits generally lowers the quality of information acquired in equilibrium, but lowers bid–ask spreads as well. Thus, depending on the relative weights placed by society on liquidity versus price efficiency, there may exist a set of price limits that are most efficient in achieving a trade-off between liquidity and informational efficiency. We perform empirical tests of some implications of the model using cross-sectional data on price limits. We find that price limits are strongly negatively related to both price volatility and trading volume. Though other explanations for our empirical findings cannot be ruled out, these results are not inconsistent with the model's implication that price limits should be tighter for contracts which offer greater profit potential for informed traders.     

Price Volatility and Risk Exposure: On the Interaction of Quota and Product Markets

We consider an industry with firms that produce a final good emitting pollution to different degree as a side effect. Pollution is regulated by a tradable quota system where some quotas may have been allocated at the outset, i.e. before the quota market is opened. We study how volatility in quota price affects firm behaviour, taking into account the impact of quota price on final-good price. The impact on the individual firm differs depending on how polluting it is??whether it is ??clean?? or ??dirty????and whether it has been allocated quotas at the outset. In the absence of long-term or forward contracting, a grandfathering regime??where clean firms are allocated no quotas and dirty firms are allocated quotas for a part of their emissions??minimizes the impact on firm behavior relative to a risk-neutral benchmark.With forward contracts and in the absence of wealth effects initial quota allocation has no effect on firm behaviour. Allowing for abatement does not change the qualitative nature of our results.     

Political institutions and economic volatility

We examine the effect of political ‘institutions’ on economic growth volatility, using data from more than 100 countries over the period 1960 to 2005, taking into account various control variables as suggested in previous studies. Our indicator of volatility is the relative standard deviation of the growth rate of GDP per capita. The results of a dynamic panel model indicate that democracy reduces economic volatility. We also find that some dimensions of political instability and policy uncertainty increase economic volatility.     

Information and strategic voting

We theoretically and experimentally study voter behavior in a setting characterized by plurality rule and mandatory voting. Voters choose from three options. We are interested in the occurrence of strategic voting in an environment where Condorcet cycles may occur and focus on how information about the preference distribution affects strategic behavior. We also vary the relative importance of the second preferred option. Quantal response equilibrium analysis is used to analyze the game and derive predictions. Our results indeed show that strategic voting arises. Its extent depends on (i) information availability; (ii) the relative importance of the intermediate candidate; (iii) the electorate’s relative support for one’s preferred candidate; (iv) the relative position of the plurality-supported candidate in one’s preference ordering. Our results show that information serves as a coordination device where strategic voting does not harm the plurality-preferred candidate’s chances of winning.     

On the effects of rare disasters and uncertainty shocks for risk premia in non-linear DSGE models

This paper studies how rare disasters and uncertainty shocks affect risk premia in DSGE models approximated to second and third order. Based on an extension of the results in Schmitt-Grohé and Uribe (2004) to third order, we derive propositions for how rare disasters, stochastic volatility, and GARCH affect any type of risk premia in a wide class of DSGE models. To quantify the effects, we set up a standard New Keynesian DSGE model where total factor productivity includes rare disasters, stochastic volatility, and GARCH. We find that rare disasters increase the level of the 10-year nominal term premium, whereas a key effect of uncertainty shocks, i.e. stochastic volatility and GARCH, is an increase in the variability of this premium.     

Wealth inequality, preference heterogeneity and macroeconomic volatility in two-sector economies

We explore the link between wealth inequality, preference heterogeneity and macroeconomic volatility in a two-sector neoclassical growth model. First we prove that, if agents have homogeneous preferences, when the absolute risk tolerance is a strictly convex (concave) function, sufficiently high (low) levels of wealth inequality may lead to endogenous fluctuations in the neighborhood of the steady state. Second, we consider the effects of preference heterogeneity when agents are homogeneous with respect to their wealth. We show that when the utility function belongs to the HARA class, sufficiently high levels of preference heterogeneity may lead to endogenous fluctuations in the neighborhood of the steady state if the elasticity of intertemporal substitution in consumption is greater than one.     

Intergenerational Complementarities in Education,Endogenous Public Policy,and the Relation Between Growth and Volatility

We construct an overlapping generations model in which parents vote on the tax rate that determines publicly provided education and offspring choose their effort in learning activities. The technology governing the accumulation of human capital allows these decisions to be strategic complements. In the presence of coordination failure, indeterminacy and, possibly, growth volatility emerge. This indeterminacy can be eliminated by an institutional mechanism that commits to a minimum level of public education provision. Given that, in the latter case, the economy moves along a uniquely determined balanced growth path, we argue that such structural differences can account for the negative correlation between volatility and growth.     

Excessive Volatility is Also a Feature of Individual Level Forecasts

The excessive volatility of prices in financial markets is one of the most pressing puzzles in social science. It has led many to question economic theory, which attributes beneficial effects to markets in the allocation of risks and the aggregation of information. In exploring its causes, we investigated to what extent excessive volatility can be observed at the individual level. Economists claim that securities prices are forecasts of future outcomes. Here, we report on a simple experiment in which participants were rewarded to make the most accurate possible forecast of a canonical financial time series. We discovered excessive volatility in individual-level forecasts, paralleling the finding at the market level. Assuming that participants updated their beliefs based on reinforcement learning, we show that excess volatility emerged because of a combination of three factors. First, we found that submitted forecasts were noisy perturbations of participants’ revealed beliefs. Second, beliefs were updated using a prediction error based on submitted forecast rather than revealed past beliefs. Third, in updating beliefs, participants maladaptively decreased learning speed with prediction risk. Our results reveal formerly undocumented features in individual-level forecasting that may be critical to understand the inherent instability of financial markets and inform regulatory policy.     

The macroeconomics of the quiet revolution: Understanding the implications of the rise in women’s participation for economic growth and inequality

We study the impact of the rise in female labor supply on the economic performance of the United States over the period 1967–2002 through the lens of a calibrated structural model. The model features all the key forces behind the increase in female participation (the “Quiet Revolution”): (1) the decline in marriage rates, (2) the narrowing gender wage gap, (3) the preference (or cultural) shift towards market work, and (4) the change in women’s bargaining power within the household. We find that preference shifts and the rise in relative wages of women were the most important driving forces behind rising women’s participation, while changes in marriage patterns have also had a sizeable effect. We conclude that half of the growth in US earnings per capita over this period can be traced to growth in female labor supply. We also find that the rise in female labor supply has had offsetting effects on income inequality and, therefore, its overall role has been negligible relative to skill-biased demand shifts and rising residual wage volatility.     

Collective learning,innovation and growth in a boundedly rational,evolutionary world

We formulate a simple multiagent evolutionary scheme as a model of collective learning, i.e. a situation in which firms experiment, interact, and learn from each other. This scheme is then applied to a stylized endogenous growth economy in which firms have to determine how much to invest in R&D, where innovations are the stochastic product of their R&D activity, spillovers occur, but technological advantages are only relative and temporary and innovations actually diffuse, both at the intra and interfirm levels. The model demonstrates both the existence of a unique long-run growth attractor (in the linear case) and distinct growth phases on the road to that attractor. We also compare the long-run growth patterns for a linear and a logistic innovation function, and produce some evidence for a bifurcation in the latter case.     

Optimal monetary policy and model selection in a real-time learning environment

We investigate how real-time parameter learning, optimal policies and the volatility of exogenous shocks affect the policymakers’ ability to distinguish across competing models of the economy. The detection speed of model misspecification depends only on the relative volatility of supply and demand shocks.     

The effect of growth volatility on income inequality

This paper assesses the long-run effect of growth volatility on income inequality using a comprehensive panel of annual U.S. state-level data during the 1945 to 2004 period. Using the pooled mean group (PMG) estimator, we find evidence supporting the hypothesis that larger growth volatility positively and significantly associates with higher income inequality. Our key finding is robust to alternative lag structures, conditioning variables, inequality measures, volatility indicators, time periods, and panel estimators. Our key finding does change for asymmetric effects, where larger growth volatility positively and significantly associates with higher income inequality only for positive economic growth. The volatility effect proves positive, but insignificant, for negative economic growth.     

The business cycle with nominal contracts

Summary In this paper we study the quantitative implications of nominal wage contracts for business cycle fluctuations. We address this issue using a model economy based on the neoclassical growth model supplemented by the assumption that cash is needed to purchase goods. We consider a variation of the standard recursive competitive equilibrium concept that is intended to capture the important features of wage contracting. We use this equilibrium construct to address three issues. First, we consider whether monetary shocks, propagated by nominal contracts, constitute a viable alternative to technology shocks as a source of aggregate fluctuations. Our results suggest that, while monetary shocks and nominal rigidities succeed in causing output volatility of the required magnitude, the resulting data have properties that are inconsistent with several key features of U.S. data. Second, we consider how the behavior of the economy varies with contract length. We find that the volatility induced by both monetary and technology shocks increases sharply with contract length. Finally we consider how much rigidity would be necessary to match the volatility of U.S. output. We find that only a very small amount of rigidity would be necessary to cause output volatility of the magnitude observed.We have received helpful comments from David Chapman, Paul Gomme, Jeremy Greenwood, Gary Hansen, Michael Keane, Tim Kehoe, Lee Ohanian, Edward Prescott, and Warren Weber. The usual disclaimer applies. This research is supported in part by NSF Grant SES-8921346 and the John M. Olin Foundation.     

Real estate investment: Market volatility and optimal holding period under risk aversion

This paper deals with real estate portfolio optimization when investors are risk averse. In this framework, we examine an important decision making problem, namely the determination of the optimal time to sell a diversified real estate portfolio. The optimization problem corresponds to the maximization of a concave utility function defined on both the free cash flows and the terminal value of the portfolio. We determine several types of optimal times to sell and analyze their properties. We extend previous results, established for the quasi linear utility case, where investors are risk neutral. We consider four cases. In the first one, the investor knows the probability distribution of the real estate index. In the second one, the investor is perfectly informed about the real estate market dynamics. In the third case, the investor uses an intertemporal optimization approach which looks like an American option problem. Finally, the buy-and-hold strategy is considered. For these four cases, we analyze in particular how the solutions depend on the market volatility and we compare them with those of the quasi linear case. We show that the introduction of risk aversion allows to better account for the real estate market volatility. We also introduce the notion of compensating variation to better measure the impacts of both the risk aversion and the volatility.     

Exchange rate volatility–economic growth nexus in Uganda

The global financial crisis has disrupted trade and capital flows in most developing economies, resulting in an increased volatility of exchange rates. We develop an autoregressive distributed lag model to investigate the effect of exchange rate volatility on economic growth in Uganda. Using data spanning the period 1960–2011, we find that exchange rate volatility positively affects economic growth in Uganda in both the short run and the long run. However, in the short run, political instability negatively moderates the exchange rate volatility–economic growth nexus. These results are robust to alternative specifications of the economic growth model.     

Recursive preferences,learning and large deviations

We estimate the relative contribution of recursive preferences versus adaptive learning in accounting for the tail thickness of price–dividends/rents ratios. We find that both of these sources of volatility account for volatility in liquid (stocks) but not illiquid (housing) assets.