THE POLITICAL ECONOMY OF REGULATION IN MARKETS WITH NAÏVE CONSUMERS

In a model of a competitive industry selling base goods and add‐ons, we investigate the conditions under which citizen‐consumers will support policies that eliminate behavioral inefficiencies induced by naïve consumers. Unregulated competitive markets have two effects: they produce deadweight losses, and they redistribute income away from biased consumers. Both unbiased and naïve consumers believe that they benefit from this redistribution (the naïve consumers are wrong), so support for efficiency‐improving regulation is limited. Extending our model to consumers with partial sophistication about their naïveté, we predict patterns of regulation consistent with the form and timing of the Credit Card Accountability Responsibility and Disclosure (CARD) Act of 2009.     

MARKET DISTORTIONS AND GOVERNMENT TRANSPARENCY

In this paper, we investigate how government transparency depends on economic distortions. We first consider an abstract class of economies in which a benevolent policy maker is privately informed about the exogenous state of the economy and contemplates whether to release this information. Our key result is that distortions limit communication: even if transparency is ex ante Pareto superior to opaqueness, it cannot constitute an equilibrium when distortions are sufficiently high. We next confirm this broad insight in two applied contexts, in which monopoly power and income taxes are the specific sources of distortions.     

SLOW INFORMATION DIFFUSION AND THE INERTIAL BEHAVIOR OF DURABLE CONSUMPTION

This paper studies the aggregate dynamics of durable and nondurable consumption under slow information diffusion (SID) due to noisy observations and learning within the permanent income hypothesis framework. We show that SID can significantly improve the model's predictions on the joint behavior of income, durable consumption, and nondurable consumption at the aggregate level. Specifically, we find that SID can significantly improve the model's predictions for: (i) smoothness in durable and nondurable consumption, (ii) autocorrelation of durable consumption, and (iii) contemporaneous correlation between durable and nondurable consumption.     

MANAGED COMPETITION IN HEALTH INSURANCE

Rising healthcare costs have sparked debate about the best way to provide high‐quality affordable health insurance. We discuss the potential for regulated insurance markets to outperform single‐payer public insurance. We use as an example the private Medicare plans that now provide insurance to almost a third of seniors in the United States. The evidence suggests that private plans can limit costs and potentially appeal to enrollees, and that well‐designed risk adjustment can mitigate market failures due to adverse selection. However, fostering competition between insurers, especially in smaller markets, is difficult. We discuss how future research might illuminate the relative advantages of public and private health insurance.     

COMMUNICATION,COORDINATION, AND NETWORKS

We study experimentally the role of the network structure of pre‐play communication in determination of outcome and behavior in a multiplayer coordination game with conflicting preferences. We explore the trade‐off between the efficiency and equity of coordination outcomes and its link to the network structure of communication. Our results show substantial variations in both efficiency and equity of coordination outcomes across networks. While, as expected, increasing the length of communication improves the chance of successful coordination, it also reduces the asymmetry in the distribution of coordinated outcomes. We identify behaviors that explain variations in the distribution of coordinated outcomes both within and across networks. In all treatments, coordination is mostly explained by convergence in communication.     

OPTIMAL CONTRACTS WITH ENFORCEMENT RISK

I build a model where potentially biased judges verify complex states by interpreting an imperfect signal whose noise captures factual ambiguities. In a sales and a financial transaction I show that judicial biases amplify and distort factual ambiguities, creating enforcement risk. To insure against such risk, parties write simple noncontingent contracts that optimally protect the party that is most vulnerable to judicial error. These results shed light on the empirical association between law and finance and rationalize salient features of real world enforcement regimes.     

MEDIA MERGERS AND MEDIA BIAS WITH RATIONAL CONSUMERS

We present an economic model of media bias and media mergers. Media owners have political motives as well as profit motives, and can influence public opinion by withholding information that is pejorative to their political agenda—provided that their agenda is not too far from the political mainstream. This is true even with rational consumers who understand the media owners’ biases, because the public do not know how much information the news organizations have and so do not know when news is being withheld. In line with conventional wisdom, this problem can be undone by competition; but competition can be defeated in equilibrium by media mergers that enhance profits at the expense of the public interest. We thus derive a motive for media merger policy that is completely distinct from the motives behind conventional antitrust. While media bias may reduce the profit incentives to merge, media markets nonetheless err by being insufficiently competitive, and the consequences of merger are more severe than in other markets.     

EVALUATING THEORIES OF BANK RUNS WITH HETEROGENEITY RESTRICTIONS

This paper empirically tests theories of bank runs. We use a structural panel VAR to extract runs from deposit market data. Identification exploits cross‐sectional heterogeneity in deposit insurance: we identify bank runs as adverse deposit market supply shocks hitting uninsured banks harder compared to insured. Conditional on a run, we study the behavior of uninsured banks with bad and good fundamentals. We find that both experience runs, but deposit outflows at the former are more severe. Panic effects, which affect all uninsured deposits alike, irrespective of fundamentals, dominate in the aggregate. Insured banks partially absorb the outflow of uninsured deposits.     

UNEMPLOYED BUT OPTIMISTIC: OPTIMAL INSURANCE DESIGN WITH BIASED BELIEFS

This paper analyzes how biased beliefs about employment prospects affect the optimal design of unemployment insurance. Empirically, I find that the unemployed greatly overestimate how quickly they will find work. As a consequence, they would search too little for work, save too little for unemployment and deplete their savings too rapidly when unemployed. I analyze the use of the “sufficient‐statistics” formula to characterize the optimal unemployment policy when beliefs are biased and revisit the desirability of providing liquidity to the unemployed. I also find that the optimal unemployment policy may involve increasing benefits during the unemployment spell.     

RISK AVERSION AND EXPECTED UTILITY THEORY: AN EXPERIMENT WITH LARGE AND SMALL STAKES

We employ a novel data set to estimate a structural econometric model of the decisions under risk of players in a game show where lotteries present payoffs in excess of half a million dollars. The decisions under risk of players in the presence of large payoffs allow us to estimate the parameters of the curvature of the von Neumann–Morgenstern utility function—not only locally, as in previous studies in the literature, but also globally. Our estimates of relative risk aversion indicate that a constant relative risk aversion parameter of about 1 captures the average of the sample population. We also find that individuals are practically risk neutral at small stakes and risk averse at large stakes—a necessary condition, according to Rabin’s calibration theorem, for expected utility to provide a unified account of individuals’ attitudes toward risk. Finally, we show that for lotteries characterized by substantial stakes, nonexpected utility theories fit the data equally as well as expected utility theory.     

PROXYING FOR UNOBSERVABLE VARIABLES WITH INTERNET DOCUMENT‐FREQUENCY

The internet contains billions of documents. We show that document frequencies in large decentralized textual databases can capture the cross‐sectional variation in the occurrence frequencies of social phenomena. We characterize the econometric conditions under which such proxying is likely. We also propose using recently‐introduced internet search volume indexes as proxies for fundamental locational traits, and discuss their advantages and limitations. We then successfully proxy for a number of economic and demographic variables in US cities and states. We further obtain document‐frequency measures of corruption by country and US state and replicate the econometric results of previous research studying its covariates. Finally, we provide the first measure of corruption in American cities. Poverty, population size, service‐sector orientation, and ethnic fragmentation are shown to predict higher levels of corruption in urban America.     

Adventures in policy modeling! Operations research in the community and beyond

The literature describing operations research in the community is somewhat of a puzzle. On the one hand, several authors have denigrated the use of traditional operations approaches in addressing community problems, yet several studies document successful applications. Arguing that the operations research mindset is itself a great strength, we will review several examples where operations research methods have been employed creatively to the benefit of the community and beyond.