We derive an inference method that works in differences-in-differences settings with few treated and many control groups in the presence of heteroskedasticity. As a leading example, we provide theoretical justification and empirical evidence that heteroskedasticity generated by variation in group sizes can invalidate existing inference methods, even in data sets with a large number of observations per group. In contrast, our inference method remains valid in this case. Our test can also be combined with feasible generalized least squares, providing a safeguard against misspecification of the serial correlation

This paper examines the long-term determinants of intimate partner violence (IPV) by analyzing its relationship with traditional family structures: stem families in which one child stays in the parental household and nuclear families in which all children leave the household upon marriage. My hypothesis is that coresidence with a mother-in-law increases a wife's contribution to nondomestic work, which may decrease the level of violence. I find that areas where stem families were socially predominant in the past currently have a lower IPV rate, and use differences in inheritance laws in medieval times as an instrument for the different family types

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.

Local projections (LP) is a popular methodology for the estimation of impulse responses (IR). Compared to the traditional VAR approach, LP allow for more flexible IR estimation by imposing weaker assumptions on the dynamics of the data. The nonparametric nature of LP comes at an efficiency cost, and in practice, the LP estimator may suffer from excessive variability. In this work, we propose an IR estimation methodology based on B-spline smoothing called smooth local projections (SLP). The SLP approach preserves the flexibility of standard LP, can substantially increase precision, and is straightforward to implement. A simulation study shows that SLP can deliver substantial gains in IR estimation over LP. We illustrate our technique by studying the effects of monetary shocks where we highlight how SLP can easily incorporate commonly employed structural identification strategies

Fire has long served as a tool in agriculture, but the practice's link with economic activity has made its health consequences difficult to study. Drawing on data from satellite-based fire detection systems, air monitors, and vital records in Brazil, we study how in utero exposure to smoke from sugarcane harvest fires affects health at birth. Exploiting daily changes in fire location and wind direction for identification, we find that late-pregnancy smoke exposure decreases birthweight, gestational length, and in utero survival. Fires less associated with smoke exposure predict improved health, highlighting the importance of disentangling pollution from its economic correlates.

Policymakers often assume that targeting observably poor households suffices in reaching nutritionally deprived individuals. We question that assumption. Our comprehensive assessment for sub-Saharan Africa reveals that undernourished women and children are spread widely across the household wealth and consumption distributions. Roughly three-quarters of underweight women and undernourished children are not found in the poorest 20% of households, and around half are not found in the poorest 40%. Countries with higher undernutrition tend to have higher shares of undernourished individuals in nonpoor households. Intrahousehold inequality accounts in part for our results, but other factors appear to be important, including common health risks.

Environmental Engel curves (EECs) describe households’ incomes and the pollution necessary to produce the goods and services they consume. We calculate 29 annual EECs from 1984 to 2012 for point-source air pollutants in the United States, revealing three clear results: EECs slope upward, have income elasticities less than 1, and shift down over time. Even without changes to production techniques, pollution would have declined despite growing incomes. This improvement can be attributed about equally to two trends: household income growth represented by movement along inelastic EECs and economy-wide changes represented by downward shifts in EECs over time.

In the aftermath of the consumer debt–induced recession, policymakers have questioned whether fiscal stimulus is effective during periods of high consumer indebtedness. This study empirically investigates this question. Using detailed data on Department of Defense spending for the 2007–2009 period, we document that the open-economy relative fiscal multiplier is higher in geographies with higher consumer debt. The results suggest that in the short term (2007–2009), fiscal policy can mitigate the adverse effect of consumer (over)leverage on real economic output during a recession. We then exploit detailed microdata to show that both heterogeneous marginal propensities to consume and slack-driven economic mechanisms contribute to the debt-dependent multiplier.

March 01 2019 Review of Economics and Statistics over the Past 100 Years: Content Explorer Asim I. Khwaja, Asim I. Khwaja Search for other works by this author on: This Site Google Scholar Kunal Mangal Kunal Mangal Search for other works by this author on: This Site Google Scholar Author and Article Information Asim I. Khwaja Kunal Mangal Online Issn: 1530-9142 Print Issn: 0034-6535 © 2019 The President and Fellows of Harvard College and the Massachusetts Institute of Technology2019The President and Fellows of Harvard College and the Massachusetts Institute of Technology The Review of Economics and Statistics (2019) 101 (1): i–iii. https://doi.org/10.1162/rest_e_00816 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Asim I. Khwaja, Kunal Mangal; Review of Economics and Statistics over the Past 100 Years: Content Explorer. The Review of Economics and Statistics 2019; 101 (1): i–iii. doi: https://doi.org/10.1162/rest_e_00816 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThe Review of Economics and Statistics Search Advanced Search This content is only available as a PDF. © 2019 The President and Fellows of Harvard College and the Massachusetts Institute of Technology2019The President and Fellows of Harvard College and the Massachusetts Institute of Technology Article PDF first page preview Close Modal You do not currently have access to this content

We examine gender differences in the response to competitive pressure using data from the most competitive entrance exam—China's Gaokao. Compared to male students, females underperform on the competitive and high-stakes Gaokao, relative to their performance on the low-stakes mock examination. Moreover, women's performance suffers more than men's in response to negative performance shocks in an earlier exam on the same day. These effects are more pronounced for subgroups of students where the stakes matter more. Overall, these findings appear to be best explained by women's lower tolerance for pressure and weaker incentives to do well in high-stakes settings.