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.

Local pollution exposures have a disproportionate impact on minority households, but the root causes remain unclear. This study conducts a correspondence experiment on a major online housing platform to test whether housing discrimination constrains minority access to housing options in markets with significant sources of airborne chemical toxics. We find that renters with African American or Hispanic/Latinx names are 41% less likely than renters with white names to receive responses for properties in low-exposure locations. We find no evidence of discriminatory constraints in high-exposure locations, indicating that discrimination increases relative access to housing choices at elevated exposure risk.

Using daily consumer survey data, we analyze the transmission of gas prices to consumer beliefs and expectations about the economy. We exploit the high frequency and geographic disaggregation of our data set to facilitate identification. Consumer sentiment becomes more pessimistic with rising gas prices. This effect is strongest for consumers who lived through the recessionary oil crises in the 1970s, consistent with models of learning from personal experience. For younger respondents, the sensitivity of sentiment to gas prices is stronger for college-educated respondents. Sensitivity is also higher in states with greater gas expenditures per capita.

We explore how team gender composition affects willingness to lead by randomly assigning participants in an experiment to male- or female-majority teams. Irrespective of team gender composition, men are substantially more willing than women to lead their team. The pooled sample, and women separately, are more willing to lead female- than male-majority teams. An analysis of mechanisms reveals that a large share of the negative effect of male-majority teams on women's leadership aspirations is accounted for by a negative effect on women's confidence, influence, and expected support from team members.

This paper shows that venture capital investment in start-ups increases innovation of established companies in technologically related fields due to knowledge spillovers. To address endogeneity issues, we instrument R&D expenditures of established companies with state-level R&D tax credits (Bloom, Schankerman, & Van Reenen, 2013) and venture capital investment with past fundraising of private equity buyout funds (Nanda & Rhodes-Kropf, 2013). Exploring the mechanism, we show that the patents of VC-financed start-ups are on average of higher quality, more novel, and less protected by intellectual property rights than those of established firms, leading to significantly larger spillovers. This knowledge transfer between companies is enhanced by mobile start-up inventors

We study productivity differences in vertically integrated steel facilities using equipment-level information on inputs and output for each of the main stages in the value chain. We obtain stage-level productivity estimates by estimating a multistage production system and then integrate them into estimates for integrated facilities. At this level, we do not find statistically significant differences in productivity by ownership. This conceals important differences upstream and downstream in the value chain: private firms outperform in pig iron and steelmaking but lag in sintering. Inferior access to higher-quality raw materials and use of less automated technology are likely sources of these differences.

This paper studies the link between self-image and behavior among those who face stigma due to poverty and social exclusion. Using a randomized field experiment with sex workers in Kolkata (India), we examine whether a psychological intervention to mitigate adverse effects of internalized stigma can induce behavior change. We find significant improvements in participants' self-image, their savings choices, and health clinic visits. Administrative data confirm that these changes in savings and preventive health behavior persist 15 and 21 months later, respectively. Our findings highlight the potential of purely psychological interventions to improve the life choices and outcomes of marginalized groups

How feasible is violence early-warning prediction? Colombia and Indonesia have unusually fine-grained data. We assemble two decades of local violent events alongside hundreds of annual risk factors. We attempt to predict violence one year ahead with a range of machine learning techniques. Our models reliably identify persistent, high-violence hot spots. Violence is not simply autoregressive, as detailed histories of disaggregated violence perform best, but socioeconomic data substitute well for these histories. Even with unusually rich data, however, our models poorly predict new outbreaks or escalations of violence. These “best-case” scenarios with annual data fall short of workable early-warning systems.

This paper introduces a structural model for the coevolution of networks and behavior. We characterize the equilibrium of the underlying game and adopt the Bayesian Double Metropolis-Hastings algorithm to estimate the model. We further extend the model to incorporate unobserved heterogeneity and show that ignoring this heterogeneity can lead to biased estimates in simulation experiments. We apply the model to study R&D investment and collaboration decisions in the chemical and pharmaceutical industry and find a positive knowledge spillover effect. Our model also provides a tractable framework for a long-run key player analysis

Many development programs that attempt to disseminate improved technologies are limited in duration because of external funding constraints or an assumption of impact sustainability, but there is limited evidence on whether and when terminating such programs is efficient. We provide novel experimental evidence on the impacts of a randomized phaseout of an agricultural extension and subsidy program that promotes improved inputs and cultivation practices among smallholder women farmers in Uganda. We find that phaseout does not diminish the use of either practices or inputs as farmers shift purchases from NGO-sponsored village-based supply networks to market sources. These results indicate that short-term interventions can suffice to trigger persistent effects, consistent with models of technology adoption that emphasize learning from experience.