Knowledge that Transforms

As in other OECD countries, women in New Zealand earn substantially less than men with similar observable characteristics. In this paper, we use fifteen years of linked employer-employee data to examine different explanations for this gender wage gap. We find an overall gender wage gap between 20% and 28%, of which gender differences in sorting across occupations explain 9%, across industries 16% to 19%, and across firms 5% to 9%, respectively. The remaining within-firm gender wage gap is still between 13% and 17%. Around 5 percentage points of this are explained by women being less willing to bargain or less successful at bargaining to capture firm-specific rents. Gender differences in productivity also explain at most 4.5 percentage points of this remaining gap. These results suggest that taste discrimination is also important for explaining why women are paid less than their relative contribution to firm output. Across-industry and over-time variation in the gender wage-productivity gap further support this conclusion.

Using data on adults' cognitive skills from nineteen countries, this paper shows that labor market conditions during the education-to-work transition affected workers' long-term skill development. Workers who faced higher unemployment rates at ages 18 to 25 have lower skills at ages 36 to 59. Unemployment rates at ages 26 to 35 do not have such an effect. Skill inequality is affected: those with less educated parents experience most of the negative effects. Using German panel data on skills, I document a mechanism related to heterogeneous skill development across firms: young workers at large firms experience higher skill growth than those at small firms.

We study the investment of organized crime in the legal economy. By using the shock induced on the Italian credit market by the 2007 subprime mortgage crisis, we document how provinces with a high organized crime presence have been affected less by the crisis in terms of the establishment of new enterprises than provinces with a lower criminal infiltration. We provide evidence that the lower impact of the crisis is consistent with the presence of investments by organized crime in the legal economy. We corroborate this interpretation by comparing our results with the characterization made by the judicial authority of such investments.

We examine gender differences in career progression and promotions using personnel data from the European Central Bank (ECB) during the period 2003–2017. A gender wage gap emerges within a few years of hiring, despite broadly similar entry conditions. We also find a gender promotion gap before 2010 when the ECB issued a public commitment to diversity. Following this change, the promotion gap disappears. Using data on promotion applications, we find a gender application bias, partly driven by preferences for competition. Following promotion, women perform better in terms of salary progression.

Individualism has long been linked to economic growth. Using the COVID-19 pandemic, we show that such a culture can hamper the economy's response to crises, a period with heightened coordination frictions. Exploiting variation in U.S. counties' frontier experience, we show that more individualistic counties engage less in social distancing and charitable transfers and are less willing to receive COVID-19 vaccines. The effect of individualism is stronger where social distancing has higher externality and holds at the individual level when we exploit migrants for identification. Our results suggest that individualism can exacerbate collective action problems during economic downturns.

This paper assesses the impact of job protection deregulation on the labor share in a sample of 26 advanced economies during the 1970–2013 period, using a newly constructed dataset of major reforms in this area. We employ a difference-in-differences identification strategy using two identifying assumptions grounded in theory—deregulation has larger effects in industries characterized by (i) a higher “natural” propensity to regularly adjust the workforce and (ii) a lower elasticity of substitution between capital and labor. We find significant negative effects of deregulation on the labor share, contributing to about a tenth of its observed decline in advanced economies.

We develop a medium-size semistructural time series model of inflation dynamics that is consistent with the view, often expressed by central banks, that three components are important: a trend anchored by long-run expectations, a Phillips curve, and temporary fluctuations in energy prices. We find that a stable long-term inflation trend and a well-identified steep Phillips curve are consistent with the data, but they imply potential output declining since the new millennium and energy prices affecting headline inflation not only via the Phillips curve but also via an independent expectational channel.

We study the effects of prenatal exposure to violent crime on infant health, using New York City crime records linked to mothers' addresses in birth records data. We address endogeneity of assault exposure with three strategies and find that in utero assault exposure significantly increases the incidence of adverse birth outcomes. We calculate that the annual social cost of assault during pregnancy in the United States is more than $3.8 billion. Since infant health predicts long-term wellbeing and disadvantaged women are disproportionately likely to be domestic abuse victims, violence in utero may be an important channel for intergenerational transmission of inequality.

Applied work often studies the effect of a binary variable (“treatment”) using linear models with additive effects. I study the interpretation of the OLS estimands in such models when treatment effects are heterogeneous. I show that the treatment coefficient is a convex combination of two parameters, which under certain conditions can be interpreted as the average treatment effects on the treated and untreated. The weights on these parameters are inversely related to the proportion of observations in each group. Reliance on these implicit weights can have serious consequences for applied work, as I illustrate with two well-known applications. I develop simple diagnostic tools that empirical researchers can use to avoid potential biases. Software for implementing these methods is available in R and Stata. In an important special case, my diagnostics require only the knowledge of the proportion of treated units.

This paper estimates the pass-through of minimum wage increases into the prices of U.S. grocery and drug stores. We use high-frequency scanner data and leverage a large number of state-level increases in minimum wages between 2001 and 2012. We find that a 10% minimum wage hike translates into a 0.36% increase in the prices of grocery products. This magnitude is consistent with a full pass-through of cost increases into consumer prices. We show that price adjustments occur mostly in the three months following the passage of minimum wage legislation rather than after implementation, suggesting that pricing of groceries is forward-looking.