9 citations · 11 across the 5 of their papers we have counts for
7 papers · 1 filter
Another Look at the Linear Probability Model and Nonlinear Index Models
Kaicheng Chen, Robert S. Martin, Jeffrey M. Wooldridge
We reassess the use of linear models to approximate response probabilities of binary outcomes, focusing on average partial effects (APE). We confirm that linear projection paramete…
A Design-Based Approach to Spatial Correlation
Ruonan Xu, Jeffrey M. Wooldridge
When observing spatial data, what standard errors should we report? With the finite population framework, we identify three channels of spatial correlation: sampling scheme, assign…
Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment
Tymon Słoczyński, S. Derya Uysal, Jeffrey M. Wooldridge
We revisit the problem of estimating the local average treatment effect (LATE) and the local average treatment effect on the treated (LATT) when control variables are available, ei…
Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect
Tymon Słoczyński, S. Derya Uysal, Jeffrey M. Wooldridge
Recent research has demonstrated the importance of flexibly controlling for covariates in instrumental variables estimation. In this paper we study the finite sample and asymptotic…
Simple Alternatives to the Common Correlated Effects Model
Nicholas L. Brown, Peter Schmidt, Jeffrey M. Wooldridge
We study estimation of factor models in a fixed-T panel data setting and significantly relax the common correlated effects (CCE) assumptions pioneered by Pesaran (2006) and used in…
Robust and Efficient Estimation of Potential Outcome Means under Random Assignment
Akanksha Negi, Jeffrey M. Wooldridge
We study efficiency improvements in randomized experiments for estimating a vector of potential outcome means using regression adjustment (RA) when there are more than two treatmen…
Using generalized estimating equations to estimate nonlinear models with spatial data
Cuicui Lu, Weining Wang, Jeffrey M. Wooldridge
In this paper, we study estimation of nonlinear models with cross sectional data using two-step generalized estimating equations (GEE) in the quasi-maximum likelihood estimation (Q…