Knowledge that Transforms

I use newly digitized contract data on U.S. war production spending over 1940–1945 to analyze the macroeconomic effects of U.S. military spending in World War II. I find personal income multipliers of 0.34 over two years and 0.49 over three years. Personal income multipliers may substantially understate gross domestic product multipliers, perhaps by as much as 50%. Employment estimates imply costs per job-year over the same time horizons of $405,013 and $232,268 in 2015 dollars, suggesting job creation was limited. I also find evidence of negative scale effects: larger positive spending shocks are associated with systematically smaller multiplier estimates.

Using a novel regional database covering over 200 elections in several European countries, this article provides new empirical evidence on the political consequences of fiscal consolidations. To identify exogenous reductions in regional public spending, we use a Bartik-type instrument that combines regional sensitivities to changes in national government expenditures with narrative national consolidation episodes. Fiscal consolidations lead to a significant increase in extreme parties’ vote share, lower voter turnout, and a rise in political fragmentation. We highlight the close relationship between detrimental economic developments and voters’ support for extreme parties by showing that austerity induces severe economic costs through lowering GDP, employment, private investment, and wages. Austerity-driven recessions amplify the political costs of economic downturns considerably by increasing distrust in the political environment.

We develop a noncooperative bargaining model with incomplete information linking dowry payments, domestic violence, resource allocation between a husband and a wife, and separation. Our model generates several predictions, which we test empirically using amendments to the Indian antidowry law as a natural experiment. We document a decline in women’s bargaining power and separations and a surge in domestic violence following the amendments. These unintended effects are attenuated when social stigma against separation is low and, in some circumstances, when gains from marriage are high. Whenever possible, parents increase investment in their daughters’ human capital to compensate for lower dowries.

Why do homeowners default on mortgages? This paper studies the question using a survey specifically designed for the purpose, with a sample drawn from (and matched to) rich administrative data. I find that a wide variety of typically unobserved liquidity shocks together trigger nearly all defaults, so “strategic” default with no liquidity trigger is much less common than it usually appears. Conversely, even in this uniquely rich data, I find that many foreclosures are not triggered by negative home equity, contrary to the predictions of almost every model in the literature.

We estimate the impact of local government fragmentation on economic activity in Indonesia from 2000 to 2014, when the number of districts increased by 50%. Exploiting idiosyncratic variation in the timing of district splits, we find that fragmentation reduces district GDP in the short term despite large increases in central transfers. The GDP decline is larger in “child” districts that acquire a new capital and government. Furthermore, splitting districts focus spending on administration without improving public services or reducing red tape and corruption. The downsides of fragmentation due to economies of scale and low bureaucratic capacity outweigh potential upsides.

We assess the predictive power of two measures of competitiveness for education and labor market outcomes using a large, representative survey panel. The first is incentivized and is an online adaptation of the laboratory-based Niederle-Vesterlund measure. The second is an unincentivized survey question eliciting general competitiveness. Both measures are strong predictors of income, occupation, level of education, and field of study. The predictive power of the new unincentivized measure is robust to controlling for other traits, including risk attitudes, confidence, and the Big Five personality traits. For most outcomes, the predictive power of competitiveness exceeds that of the other traits.

One of the dangers of high inflation is that it can cause individuals to pay close attention to it. This internalization of inflation can lead to an accelerationist regime, making inflation harder to control. We empirically assess the relationship between attention and inflation for 38 countries. Our measures of attention are constructed from Internet search behavior or the popularity of inflation mentions on Twitter. We find evidence that attention thresholds exist for most of the countries, and that they typically occur between 2% and 4% inflation. We also document interesting variability across countries and find similar thresholds in newspaper coverage of inflation.

This paper exploits the universe of credit- and debit-card transactions in China during 2013–2015 and provides the first nationwide analysis of the health care cost of PM2.5 for a developing country. We leverage spatial spillovers of PM2.5 from long-range transport to generate exogenous variation in local pollution, and we employ a flexible distributed lag model to capture semiparametrically the dynamic response of pollution exposure. We find significant impacts of PM2.5 on health care spending in both the short and medium terms. A 10 μg/m3 decrease in PM2.5 would reduce annual health care spending by over $9.2 billion, about 1.5% of China’s annual health care expenditure.

This paper reports causal evidence on how the extent of hybrid work—the number of days worked from home relative to days worked from office—affects employee attitudes and performance. Workers who spent around two days in the office each week on average self-reported greater work-life balance, more job satisfaction, and lower isolation from colleagues compared to workers who spent more or fewer days in the office. Employees in the intermediate hybrid condition received no different performance ratings compared to peers who spent more or fewer days in the office.

We study treatment-effect estimation using panel data. The treatment may be nonbinary, nonabsorbing, and the outcome may be affected by treatment lags. We make a parallel-trends assumption and propose event-study estimators of the effect of being exposed to a weakly higher treatment dose for ℓ periods. We also propose normalized estimators that estimate a weighted average of the effects of the current treatment and its lags. We also analyze commonly used two-way, fixed-effects regressions. Unlike our estimators, they can be biased in the presence of heterogeneous treatment effects. A local-projection version of those regressions is biased even with homogeneous effects.