The Sample Selection Model Based on Improved Autoencoder for the Online Questionnaire Investigation

2017 ◽  
pp. 175-184
Author(s):  
Yijie Pang ◽  
Shaochun Wu ◽  
Honghao Zhu
Keyword(s):  
Sample Selection ◽  
Selection Model ◽  
Online Questionnaire ◽  
Sample Selection Model ◽  
Model Based

A Bayesian sample selection model based on normal mixture to investigate household car ownership and usage behavior

2020 ◽  
Vol 20 ◽  
pp. 36-50
Author(s):  
Na Wu ◽  
Xiang (Ben) Song ◽  
Ronghan Yao ◽  
Qian Yu ◽  
Chunyan Tang ◽  
...  
Keyword(s):  
Sample Selection ◽  
Selection Model ◽  
Car Ownership ◽  
Normal Mixture ◽  
Sample Selection Model ◽  
Model Based ◽  
Usage Behavior

scholarly journals “Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture

Agribusiness ◽  
2020 ◽  
Vol 36 (2) ◽  
pp. 192-207
Author(s):  
Marius Michels ◽  
Wilm Fecke ◽  
Jan‐Henning Feil ◽  
Oliver Musshoff ◽  
Frederike Lülfs‐Baden ◽  
...  
Keyword(s):  
Sample Selection ◽  
Mobile Internet ◽  
Selection Model ◽  
Internet Adoption ◽  
Sample Selection Model

scholarly journals ON INTERCEPT ESTIMATION IN THE SAMPLE SELECTION MODEL

2002 ◽  
Vol 18 (1) ◽  
pp. 40-50 ◽  
Author(s):  
Marcia M.A. Schafgans ◽  
Victoria Zinde-Walsh
Keyword(s):  
Convergence Rate ◽  
Asymptotic Normality ◽  
Sample Selection ◽  
American Economic Review ◽  
Selection Model ◽  
Sample Selection Model ◽  
Consistency And Asymptotic Normality

We provide a proof of the consistency and asymptotic normality of the estimator suggested by Heckman (1990, American Economic Review 80, 313–318) for the intercept of a semiparametrically estimated sample selection model. The estimator is based on “identification at infinity,” which leads to nonstandard convergence rate.

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