Testing the hypothesis of absence of unobserved confounding in semiparametric bivariate probit models

DOI10.1007/s00180-013-0458-xzbMath1306.65098OpenAlexW2009757587MaRDI QIDQ2259749

Rosalba Radice, Silvia Missiroli, Giampiero Marra

Publication date: 5 March 2015

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-013-0458-x

zbMATH Keywords

endogeneityWald testLagrange multiplier testnon-random sample selectionpenalized regression spline

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Computational methods for problems pertaining to statistics (62-08)

Uses Software

• R
• SemiParBIVProbit
• gamair

Cites Work

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• Effect of Insurance on Mortality in an HIV-Positive Population in Care

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