We estimate the slope of the Phillips curve in the cross section of US states using newly
constructed state-level price indices for nontradeable goods back to 1978. Our estimates …

Published testimony in management, as in other sciences, includes cases where authors
have overstated the inferential value of their analysis. Where some scholars have diagnosed …

" As political science has come to depend more and more on quantitative methods, with a
significant focus on causal identification (put simply," what causes what"), there has been a …

There is a long-standing debate about the extent to which economic theory should inform
econometric modeling and estimation. This debate is particularly evident in the …

We propose a way to formalize the relationship between descriptive analysis and structural
estimation. A researcher reports an estimate ĉ of a structural quantity of interest c that is …

We develop an algorithm for solving a large class of nonlinear high-dimensional continuous-
time models in finance. We approximate value and policy functions using deep learning and …

A large literature in cognitive science studies the puzzling “Flynn effect” of rising fluid
intelligence (reasoning skill) in rich countries. We develop an economic model in which a …

This article proposes a new approach to estimate the informal economy (IE) by using
Structural Equation Modeling (SEM). Using a Monte Carlo Simulation and empirical analysis …

This paper proposes a global algorithm to solve a large class of nonlinear continuous-time
models in finance and economics. Using tools from machine learning, I recast problem of …

This article describes methods used in the field of spatial economics that combine insights
from economic theory and evidence from data in order to answer counterfactual questions. I …