Panel Data Discrete Choice Models with Lagged Dependent Variables

Econometrica ◽  
2000 ◽  
Vol 68 (4) ◽  
pp. 839-874 ◽  
Author(s):  
Bo E. Honore ◽  
Ekaterini Kyriazidou
Keyword(s):  
Panel Data ◽  
Discrete Choice ◽  
Choice Models ◽  
Discrete Choice Models ◽  
Dependent Variables

scholarly journals Factors Influencing Adoption of Integrated Pest Management in Northeast Greenhouse and Nursery Production

2013 ◽  
Vol 42 (2) ◽  
pp. 310-324 ◽  
Author(s):  
Jie Li ◽  
Miguel I. Gómez ◽  
Bradley J. Rickard ◽  
Margaret Skinner
Keyword(s):  
Integrated Pest Management ◽  
Pest Management ◽  
Discrete Choice ◽  
Choice Models ◽  
Discrete Choice Models ◽  
Full Time ◽  
Factors Influencing ◽  
Dependent Variables ◽  
Nursery Production

We collected surveys from 94 greenhouse and nursery growers in three northeastern states to examine factors influencing integrated pest management (IPM] adoption. We constructed three alternative dependent variables describing the extent of IPM adoption and employed discrete choice models to identify factors that affect adoption. We find that operations with more full-time workers are more likely to adopt IPM. Additionally, greenhouse/nursery growers that rank pests as a serious problem are likely to use a wider array of IPM practices. The reliability of IPM practices is critical for adoption. Our analysis highlights differences between self-reported and objective IPM adoption measures.

Theoretical, methodological and practical issues of choice models

2018 ◽  
Vol 1 (1) ◽  
pp. 21-37
Author(s):  
Bharat P. Bhatta
Keyword(s):  
Discrete Choice ◽  
Model Building ◽  
Estimation Method ◽  
Choice Models ◽  
Discrete Choice Models ◽  
Decision Makers ◽  
Model Formulation ◽  
Random Utility Maximization ◽  
The Relationship ◽  
Method Model

This paper analyzes and synthesizes the fundamentals of discrete choice models. This paper alsodiscusses the basic concept and theory underlying the econometrics of discrete choice, specific choicemodels, estimation method, model building and tests, and applications of discrete choice models. Thiswork highlights the relationship between economic theory and discrete choice models: how economictheory contributes to choice modeling and vice versa. Keywords: Discrete choice models; Random utility maximization; Decision makers; Utility function;Model formulation

BLP-Lasso for Aggregate Discrete Choice Models of Elections with Rich Demographic Covariates

2015 ◽  
Author(s):  
Benjamin J. Gillen ◽  
Sergio Montero ◽  
Hyungsik Roger Moon ◽  
Matthew Shum
Keyword(s):  
Discrete Choice ◽  
Choice Models ◽  
Discrete Choice Models ◽  
Demographic Covariates
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