Unemployment Benefits and Labor Market Transitions: A Multinomial Logit Model with Errors in Classification

1995 ◽  
Vol 77 (2) ◽  
pp. 207 ◽  
Author(s):  
James M. Poterba ◽  
Lawrence H. Summers
Keyword(s):  
Labor Market ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Unemployment Benefits ◽  
Labor Market Transitions ◽  
Market Transitions

scholarly journals TRANSICIÓN Y PERSISTENCIA EN EL CICLO FORMAL-INFORMAL EN MÉXICO

2020 ◽  
pp. 1-45
Author(s):  
Jaime J. Escobedo González ◽  
◽  
Jorge O. Moreno Treviño
Keyword(s):  
Human Capital ◽  
Labor Market ◽  
Panel Data ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Synthetic Dataset ◽  
Employment Survey

This paper analyzes the role of human capital in the formal-informal transition of workers in Mexico. We create a dynamic pooled aligned panel of 44 quarters, using a series of quarterly panel data that follows each individual for 5 consecutive quarters, using the Mexican Employment Survey. Using this synthetic dataset we estimate a dynamic multinomial logit model and classify potential working force people in four labor states: formal, informal, unemployed, and outside the labor market. Our results show that: 1) persistence is greater in informality vs. formality, and 2) worker’s human capital plays an important role in formal-informal transitions. In particular, worker’s education not only increases the probability of being formal but also increases the probability of entering and/or remaining into formality.

scholarly journals Multinomial Logit Models for the Austrian Labor Market

2016 ◽  
Vol 32 (4) ◽  
Author(s):  
Ivan Pryanishnikov ◽  
Katarina Zigova
Keyword(s):  
Labor Market ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Extreme Value ◽  
Ratio Test ◽  
Multinomial Logit Models ◽  
Extreme Value Model ◽  
Value Model ◽  
Selection Of

In this paper we analyze the selection of industry branches by employees in the Austrian labor market. For this purpose we use the standard logit model and the heteroscedastic extreme value model. We show that the likelihood ratio test rejects the multinomial logit model in favor of the heteroscedastic specification. Consequently, we concentrate on estimation results of the heteroscedastic extreme value model. In our investigation we use 1997 social security records provided by the Hauptverband der Sozialversicherungen.

scholarly journals Father-Son Formal-Informal Employment Persistence in Pakistan

2021 ◽  
Vol 4 (1) ◽  
pp. 81-115
Author(s):  
Shabana Kishwar
Keyword(s):  
Labor Market ◽  
Intergenerational Transmission ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Informal Employment ◽  
High Status ◽  
Rural Regions ◽  
Primary Determinant ◽  
Consumption Survey

This paper analyses the intergenerational transmission of formal-informal employment. Using the data from the Household Integrated, Income and Consumption Survey (2015-16) and applying Probit and Multinomial Logit Model, it was manifested that intergenerational persistence is higher in informal employment. The transmission of informal employment from the father to the son is higher in rural regions as compared to the urban regions. Further, scrutinizing informal employment in different occupations revealed its higher persistence in elementary occupations. In the older cohort, the likelihood of the transfer of informal employment as compared to the younger cohort was found to be higher. Father’s occupation remains the primary determinant of the sons’ entry into the labor market. There are limited chances for the sons whose fathers are in low status occupations to move to high status occupations as compared to those sons whose fathers are already employed in high status occupations.

Assortment Optimization under the Multinomial Logit Model with Random Choice Parameters

2014 ◽  
Vol 23 (11) ◽  
pp. 2023-2039 ◽  
Author(s):  
Paat Rusmevichientong ◽  
David Shmoys ◽  
Chaoxu Tong ◽  
Huseyin Topaloglu
Keyword(s):  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Random Choice ◽  
Assortment Optimization
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