Misclassification in Binary Choice Models with Sample Selection
Most empirical work in the social sciences is based on observational data that are often both incomplete, and therefore unrepresentative of the population of interest, and affected by measurement errors. These problems are very well known in the literature and ad hoc procedures for parametric modeli...
Main Authors: | Maria Felice Arezzo, Giuseppina Guagnano |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-07-01
|
Series: | Econometrics |
Subjects: | |
Online Access: | https://www.mdpi.com/2225-1146/7/3/32 |
Similar Items
-
Response-Based Sampling for Binary Choice Models With Sample Selection
by: Maria Felice Arezzo, et al.
Published: (2018-03-01) -
Selection and Misclassification Biases in Longitudinal Studies
by: Denis Haine, et al.
Published: (2018-05-01) -
YOUNG PEOPLE’S PERCEPTION OF UNDECLARED WORK IN ROMANIA
by: LIANA BADEA, et al.
Published: (2015-06-01) -
UNDECLARED WORK OF SOCIALLY EXCLUDED PEOPLE IN LIGHT OF SURVEY RESEARCH
by: Mariola Szewczyk-Jarocka
Published: (2020-12-01) -
Mapping the Shadow Economy: Spatial Variations in the use of High Denomination Bank Notes in Brussels
by: Nicola Francesco Dotti, et al.
Published: (2015-06-01)