Estimating Panel Data Models in the Presence of Endogeneity and Selection

650 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Internet and Politics: Evidence from U.K. Local Elections and Local Government Policies (2015, background): “new medium on electoral politics and government policy, as Strömberg (2004b) and Gentzkow (2006) did for radio and television, respectively.”
Teacher training, teacher quality and student achievement (2011, methodology): “Following the suggestion of Semykina and Wooldridge (2005), we test for attrition bias by adding a variable indicating attrition in the next period.”
Government, Venture Capital and the Growth of European High-Tech Entrepreneurial Firms (2014, methodology): “As suggested by Semykina and Wooldridge (2010), this unbalancing could be caused by a sample selection issue.”
R&D support programs in developing countries: The Turkish experience (2008, methodology): “To determine whether there is evidence of selection bias in the primary (R&D) equation, we computed three test statistics suggested by Semykina and Wooldridge (2005) by adding, one at a time, the lagged and lead values of the selection indicator (i.e., the R&D status), and the vector of inverse…”