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Sparse Network Asymptotics for Logistic Regression
Graham, Bryan S. - 2020
Consider a bipartite network where <i>N</i> consumers choose to buy or not to buy <i>M</i> different products. This paper considers the properties of the logistic regression of the <i>N</i> × <i>M</i> array of "i-buys-j" purchase decisions, <i>[Y<sub>ij</sub>]<sub>1≤i≤N,≤j≤M</sub></i>, onto known functions of consumer and product attributes...
Persistent link: https://www.econbiz.de/10012482182
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Quantile Regression with Panel Data
Graham, Bryan S. - 2015
We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data …; Section 2.6). We show that panel data allows the econometrician to (i) introduce dependence between the regressors and the … (NLSY79). Consistent with prior work (e.g., Chamberlain, 1982; Vella and Verbeek, 1998), we find that using panel data to …
Persistent link: https://www.econbiz.de/10012457634
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Identification in a Binary Choice Panel Data Model with a Predetermined Covariate
Bonhomme, Stéphane; Dano, Kevin; Graham, Bryan S. - National Bureau of Economic Research - 2023
We study identification in a binary choice panel data model with a single predetermined binary covariate (i.e., a …
Persistent link: https://www.econbiz.de/10014247948