Stigma of welfare participation is important for policy and survey design, because it reduces program take-up and increases misreporting. Stigma is also relevant to the literature on social image concerns, yet empirical evidence is scant because stigma is difficult to empirically identify. We use a novel approach to studying stigma by examining the relationship between program participation in a recipient's local network and underreporting program participation in surveys. We find a robust negative relationship and provide evidence against explanations other than stigma. Stigma decreases when more peers engage in the stigmatized behavior and when such actions are less observable.

The downtrend in U.S. interest rates over the past two decades may partly reflect a decline in the longer-run equilibrium real rate of interest. We examine this issue using dynamic term structure models that account for time-varying term and liquidity risk premiums and are estimated directly from prices of individual inflation-indexed bonds. Our finance-based approach avoids two potential pitfalls of previous macroeconomic analyses: structural breaks at the zero lower bound and misspecification of output and inflation dynamics. We estimate that the longer-run equilibrium real rate has fallen about 2 percentage points and appears unlikely to rise quickly.

We analyze a model of R&D alliance networks where firms are engaged in R&D collaborations that lower their production costs while competing on the product market. We provide a complete characterization of the Nash equilibrium and determine the optimal R&D subsidy program that maximizes total welfare. We then structurally estimate this model using a unique panel of R&D collaborations and annual company reports. We use our estimates to study the impact of targeted versus nondiscriminatory R&D subsidy policies and empirically rank firms according to the welfare-maximizing subsidies they should receive.

Data on New Zealand manufacturing plants are used to examine the impact of trade liberalization on plant exit. Recent theories suggest that the prospect of a declining market might cause firms to adopt strategic behavior that causes low cost plants to exit first. This hypothesis is generally unsupported. Surviving plants were larger, lower cost, and were owned by specialized firms with few plants. Plant costs were more important than firm size for explaining the plant-closing behavior of single-plant firms. Diversified, multiplant firms were more likely to close plants and were influenced by plant size but not plant costs.

We document the effect of unemployment insurance generosity on divorce and fertility using an identification strategy that leverages state-level changes in maximum benefits over time and comparisons across workers who have been laid off and those that have not been laid off. The results indicate that higher maximum benefit levels mitigate the effects of layoffs. In particular, they mitigate increases in divorce associated with men’s layoffs; increases in separations associated with women’s layoffs; reductions in fertility associated with men’s layoffs; and increases in fertility associated with women’s layoffs.

We propose improved standard errors and an asymptotic theory for two-way clustered panels. Our theory allow for arbitrary serial dependence in the common time effects, which is excluded by existing two-way methods. Our asymptotic distribution theory is the first which allows for this level of inter-dependence. Under weak conditions, we demonstrate that OLS is asymptotically normal, our proposed variance estimator is consistent, and t-ratios are asymptotically standard normal. The results extend to two-way fixed-effect models; we argue that two-way clustering is still necessary even if two-way fixed effects are included. Simulation and empirical illustration are provided.

This paper examines the claim that exchange rate regimes are of little salience in the transmission of global financial conditions to domestic financial and macroeconomic conditions by focusing on a sample of about forty emerging market countries over 1986 to 2013. Our findings show that exchange rate regimes do matter. The transmission of global financial shocks to domestic credit and house price growth, as well as to banking sector leverage and domestic output, is magnified under fixed exchange rate regimes relative to more flexible (though not necessarily fully flexible) exchange rate regimes.

John A. Bishop, S. Chakraborti, Paul D. Thistle, Asymptotically Distribution-Free Statistical Inference for Generalized Lorenz Curves, The Review of Economics and Statistics, Vol. 71, No. 4 (Nov., 1989), pp. 725-727

Daniel H. Hill, Deborah A. Ott, Lester D. Taylor, James M. Walker, Incentive Payments in Time-of-Day Electricity Pricing Experiments: The Arizona Experience, The Review of Economics and Statistics, Vol. 65, No. 1 (Feb., 1983), pp. 59-65

We examine editors’ influence on the scientific content of academic journals by unpacking the role of three major forces: journals’ stated missions, the aggregate supply of and demand for specific topics, and scientific homophily via editorial gatekeeping. In a sample of top biomedical journals, we find the first two forces explain the vast majority of variation in published content. The upper bound of the homophily effect is statistically significant but practically much less important. Marginal changes to the composition of editorial boards do not meaningfully impact journals’ content in the short run. However, we cannot rule out persistent or pervasive frictions in the publication process.