The quality of historical US census data is critical to the performance of linking algorithms. We use genealogical profiles to correct measurement errors in census names and ages. Our findings suggest that one in every two records has an error in name or age, and human capital is correlated with...

I provide formulas for the influence function of two common misallocation statistics: TFP loss from misallocation and potential TFP gain from reallocation. I also show how to use a finite-difference approximation to Gateaux derivatives to obtain sample analogs to influence functions for...

This article uses macro-level data from China, Japan, and South Korea, and employs a counterfactual estimation method to examine the health capacity to work at aged 50 and above. This study finds that, first, the health status of the elderly population in China, Japan, and South Korea has...

Selection bias in genome-wide association studies (GWASs) due to volunteer-based sampling (volunteer bias) is poorly understood. The UK Biobank (UKB), one of the largest and most widely used cohorts, is highly selected. We develop inverse probability weighted GWAS (WGWAS) to correct GWAS summary...

We analyse a large telematics data with 65 driving variables (DVs) and insurance claim counts for 14,157 drivers. Our aim is to predict future claims according to driving behaviour measured by the DVs, to identify important DVs that differentiate driving behaviours, classify drivers according to...

This paper analyzes 30+ years of county data including soil, weather, and yield of corn provided by Seong Do Yun and Benjamin M Gramig. With the prevalent rise in organic agriculture, ruralities slowly suffer from less optimized crop growth. The paper depicts the use of a polynomial regression...

Two-way fixed effects (TWFE) regressions with period and group fixed effects are widely used to estimate policies' effects: 26 of the 100 most cited papers published by the American Economic Review from 2015 to 2019 estimate such regressions. Researchers have long thought that TWFE estimators...

We propose a demand estimation method that allows for a large number of zero sale observations, rich unobserved heterogeneity, and endogenous prices. We do so by modeling small market sizes through Poisson arrivals. Each of these arriving consumers solves a standard discrete choice problem. We...

This paper introduces a new bootstrap approach to the construction of confidence regions for Average Treatment Effect (ATE) identified sets. Minimum Hausdorff distance bootstrap confidence regions are developed and shown to be valid under suitable regularity. A novel measure of the discrepancy...

Mixed models are classical tools in statistics for modeling repeated data on subjects, such as data on patients, customers or firms collected over time. These models extend conventional linear models to include latent parameters, called random effects, that capture between-subject variation and...