We evaluate the effectiveness of randomized interventions aimed at alleviating psychological barriers (maternal stress and difficulty visualizing the future) and addressing information frictions on early childhood immunization uptake in a sample of 2,145 mothers of infants in Pakistan. A...

What is the optimal monetary policy response to tariffs? This paper explores this question within an open-economy New Keynesian model and shows that the optimal monetary policy response is expansionary, with inflation rising above and beyond the direct effects of tariffs. This result holds...

This chapter surveys new data sources employed in urban and regional economics in the past decade and the insights they have enabled. We first provide a primer on the data sources, including advantages, disadvantages and use cases. Historical data sources include linked census records as well as...

Many community organizations provide services similar to government programs, but there is limited evidence how increased government aid affects the use and availability of charitable services. This study examines how greater access to federal nutrition assistance through schoolwide free meal...

This paper examines the problem of a college affected by both a legal ban on affirmative action in admissions and pressure to raise enrollment of underrepresented minorities (URMs), as exemplified by UCLA, which adopted a holistic admissions process in 2006 in response to protests over low URM...

There is growing recognition of the relative importance of anthropogenic emissions of methane as a contributor to global climate change. An important source of such emissions in some countries, including the United States, is the oil and gas (O&G) sector. This points to the importance of...

We generalize the seminal Gibbons-Ross-Shanken test to the empirically relevant case where the number of test assets far exceeds the number of observations. In such a setting, one needs to use a regularized estimator of the covariance matrix of test assets, which leads to biases in the original...

This paper examines how the introduction of artificial intelligence (AI), particularly generative and large language models capable of interpolating precisely between known data points, reshapes scientists' incentives for pursuing novel versus incremental research. Extending the theoretical...

This paper surveys the literature that links macroeconomics and climate change. We organize our review into three categories: (i) loss and damage, which assesses long-run economic costs and non-market impacts from climate change; (ii) mitigation and the energy transition, which evaluates the...

We study how trade-policy dynamics affect the dynamics of trade volumes and the implications of these effects for estimates of the trade elasticity. We use data on US imports and trade policy from 1974-2017 for China and Vietnam--the countries with the largest import growth and the largest...