We identify three separate stages in the post-World War II history of applied microeconomic research: A generally non-mathematical period; a period of consensus (from the 1960s through the early 1990s) characterized by the use of mathematical models, optimization and equilibrium to generate and...

This article presents a comprehensive analysis of trends in the publication and citation of economics scholarly research, with a focus on specialization within fields of economics research (i.e., applied, applied theory, econometrics methods, and theory). We collected detailed data on 24,273...

The human capital construct is deep in the bones of economics and finds reference by many classical economists, even if they did not use the phrase. The term "human capital," seldom mentioned in economics before the 1950s, increased starting in the 1960s and blossomed in the 1990s. The upsurge...

Econometricians invest substantial effort in constructing standard errors that yield valid inference under a hypothetical data-generating process. This paper asks a fundamental question: Are the uncertainty statements reported by applied researchers consistent with empirical frequencies? The...

This study examines publications in three leading general economics journals from the 1960s through the 2020s, considering levels and trends in the demographics of authors, methodologies of the studies, and patterns of co-authorship. The average age of authors has increased nearly steadily;...

We study how conflicts of interest (CoI)--defined as financial, professional, or ideological stakes held by authors--affect perceived credibility in economics research. Using a randomized controlled survey of both economists and a representative sample of the U.S. public, we find that the...

We conduct a long-run evaluation of one of the oldest professional mentoring programs for underrepresented groups in economics, the American Economic Association Mentoring Program (AEAMP). The AEAMP was established to address the underrepresentation of racial/ethnic minority groups by mentoring...

New data-gathering techniques, often referred to as "Big Data" have the potential to improve statistics and empirical research in economics. In this paper we describe our work with online data at the Billion Prices Project at MIT and discuss key lessons for both inflation measurement and some...

I review a subset of the empirical tools available for competition analysis. The tools discussed are those needed for the empirical analysis of; demand, production efficiency, product repositioning, and the evolution of market structure. Where relevant I start with a brief review of tools...

Advances in the study of partial identification allow applied researchers to learn about parameters of interest without making assumptions needed to guarantee point identification. We discuss the roles that assumptions and data play in partial identification analysis, with the goal of providing...