4 papers
A Simple and Powerful Diagnostic Test for Binary Choice Models
Ting Ji, Laura Liu, Yulong Wang +1
Conventional binary choice models, such as probit and logit, impose thin-tailed errors, and that tail determines whether the parameters of a binary choice model can be estimated at…
Binary Outcome Models with Extreme Covariates: Estimation and Prediction
Laura Liu, Yulong Wang
This paper presents a novel semiparametric method to study the effects of extreme events on binary outcomes and subsequently forecast future outcomes. Our approach, based on Bayes'…
Estimating Export-productivity Cutoff Contours with Profit Data: A Novel Threshold Estimation Approach
Peter H. Egger, Yulong Wang
This paper develops a novel method to estimate firm-specific market-entry thresholds in international economics, allowing fixed costs to vary across firms alongside productivity. O…
Inference in Auctions with Many Bidders Using Transaction Prices
Federico A. Bugni, Yulong Wang
This paper studies inference in first-price and second-price sealed-bid auctions with many bidders, using an asymptotic framework where the number of bidders increases while the nu…