A Control Function Approach to Estimating Dynamic Probit Models with Endogenous Regressorsa

DOI10.1515/jem-2012-0010zbMath1279.62226OpenAlexW2056284952MaRDI QIDQ2870575

Irina Murtazashvili, John R. Giles

Publication date: 21 January 2014

Published in: Journal of Econometric Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/jem-2012-0010

zbMATH Keywords

migrationcontrol function approachrural Chinadynamic binary response modelspoverty-persistence

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to social sciences (62P25) General nonlinear regression (62J02)

Related Items (1)

Estimating endogenous ordered response panel data models with an application to income gradient in child health

Uses Software

• Stata

Cites Work

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• Panel data methods for fractional response variables with an application to test pass rates
• Limited information estimators and exogeneity tests for simultaneous probit models
• A framework for estimating dynamic, unobserved effects panel data models with possible feedback to future explanatory variables
• An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply
• Analysis of Covariance with Qualitative Data
• On the Pooling of Time Series and Cross Section Data
• Networks in the Modern Economy: Mexican Migrants in the U. S. Labor Market
• Panel Data Discrete Choice Models with Lagged Dependent Variables
• Asymptotically Unbiased Inference for a Dynamic Panel Model with Fixed Effects when Both n and T Are Large

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