Correlated discrete and continuous outcomes with endogeneity and lagged effects: past season yield impact on improved corn seed adoption

DOI10.1080/02664763.2020.1757050OpenAlexW3022764164MaRDI QIDQ5861562

Satheesh Aradhyula, Rhoda Nandai Muse

Publication date: 1 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2020.1757050

zbMATH Keywords

lagged effectscorrelated discrete and continuous outcomesendogeneity and initial conditions problem

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

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• General mixed-data model: Extension of general location and grouped continuous models
• Maximum likelihood estimation for mixed continuous and categorical data with missing values
• Response models for mixed binary and quantitative variables
• Dummy Endogenous Variables in a Simultaneous Equation System
• Multivariate Correlation Models with Mixed Discrete and Continuous Variables

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