The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
An Endogenous Switching Model to Poverty Dynamic Assessment in Tunisia: A New Proposal
Abstract
This paper focus on the determinants of poverty dynamics in Tunisia by performing a two-stage endogenous model using a Bayesian algorithm to avoid missing data. Based on this approach author show that panel data analysis can be performed through potential variables such presented by the work of Donald B. Rubin. This contribution is rather empirical; researcher propose a method based on the concept of causal inference that enable to execute a panel data model using independent surveys. As the author assert the dependence between poverty status over time, they choose to use an endogenous switching model take into consideration the form of endogeneity caused by initial condition.
Related Content
|
Javier Martínez-Falcó, Eduardo Sánchez-García, Bartolomé Marco-Lajara.
© 2025.
22 pages.
|
|
Ajay Kumar Singh.
© 2025.
32 pages.
|
|
Mehmet Levent Erdas, Gamze Gocmen Yagcilar.
© 2025.
22 pages.
|
|
Mehul Saxena, Gaurav Dawar.
© 2025.
18 pages.
|
|
Peterson K. Ozili.
© 2025.
10 pages.
|
|
Javier Martínez-Falcó, Eduardo Sánchez-García, Bartolomé Marco-Lajara.
© 2025.
42 pages.
|
|
Óscar Díaz-Chica, Celia Martín-Sierra, Claudia Roldán-García.
© 2025.
34 pages.
|
|
|