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 The Labour Market Adjustment Of Foreign-Born Workers In Canada: A Multinomial Logit Model Of Employment Status

2011 ◽  
Vol 5 (12) ◽  
Author(s):  
Najma R. Sharif
Keyword(s):  
Human Capital ◽  
Labour Market ◽  
Logit Model ◽  
Employment Status ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Individual Characteristics ◽  
Labour Markets ◽  
Foreign Workers ◽  
Foreign Born

This paper examines how the employment profile of newcomers to Canada differs from that of the native-born, controlling for human capital and other individual characteristics, and whether that profile converges to that of the native-born as the length of residence in Canada increases. These questions are important for understanding whether (and the extent to which) foreign workers adjust to Canadian labour markets. They also have significant policy relevance, given that demographic trends in the country suggest that immigration will likely be an even more significant contributor to labour force growth in the years ahead. The econometric tool we employ is the multinomial logit model, which is estimated using data from the 2001 Census of Canada. Employment status, which is a categorical variable with several dimensions, is explained in terms of human capital, demographic and other individual characteristics, with additional controls for immigration status and variables intended to capture the impact of the length of residence of foreign workers in Canada. Since foreign workers are themselves a disparate group, entering Canada with very different socio-economic characteristics, with the potential for very different paths of subsequent adjustment to host country labour markets, we consider several foreign-born groups. This is important for capturing differences that reflect the shift in immigration away from traditional sources (e.g. the U.K) to non-traditional sources (e.g. Asia), and the implications for labour market activity and outcomes.

scholarly journals Monitoring habitat types by the mixed multinomial logit model using panel data

2016 ◽  
Vol 67 ◽  
pp. 108-116 ◽  
Author(s):  
D.J. Brus ◽  
P.A. Slim ◽  
G. Gort ◽  
A.H. Heidema ◽  
H. van Dobben
Keyword(s):  
Panel Data ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Habitat Types ◽  
Mixed Multinomial Logit Model

scholarly journals Public Preferences for Pasture Landscapes and the Role of Scale Heterogeneity

2021 ◽  
Vol 70 (3) ◽  
pp. 182-191
Author(s):  
Henning Schaak ◽  
Oliver Mußhoff
Keyword(s):  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Discrete Choice Experiments ◽  
Parameter Estimates ◽  
Public Preferences ◽  
Mixed Multinomial Logit Model ◽  
Potential Impact ◽  
Parameter Interactions

The paper investigates the influence of different model specifications for interpreting the results of discrete choice experiments when investigating heterogeneous public landscape preferences. Comparing model specifications based on the Mixed Multinomial Logit and the Generalized Multinomial Logit Model reveals that the parameter estimates appear qualitatively comparable. Still, a more in-depth investigation of the conditional estimate distributions of the sample show that parameter interactions in the Generalized Multinomial Logit Model lead to different interpretations compared to the Mixed Multinomial Logit Model. This highlights the potential impact of common model specifications in the results in landscape preference studies.

scholarly journals Treating Zero Brand Sales Observations in Choice Model Estimation: Consequences and Potential Remedies

2008 ◽  
Vol 45 (5) ◽  
pp. 618-632 ◽  
Author(s):  
Richard A. Briesch ◽  
William R. Dillon ◽  
Robert C. Blattberg
Keyword(s):  
Panel Data ◽  
Logit Model ◽  
Choice Model ◽  
Simulated Data ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Relative Performance ◽  
Data Sets ◽  
Model Estimation ◽  
Household Panel Data

This research focuses on the consequences of and potential remedies for incorporating zero brand sales observations when calibrating choice models on the basis of household panel data. As the authors show both analytically and empirically, including or excluding zero brand sales observations can bias price elasticities, even in cases in which the data are generated by a multinomial logit model. The authors show that an appropriate choice of a model form (i.e., specification) is influenced by the incidence of “missingness” and the mechanism presumed to be causing a brand to have no purchases in a given store/week. The authors propose two model forms that may perform well in the presence of zero brand sales observations and investigate their relative performance on the basis of simulated data and two household panel data sets.

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.

scholarly journals CHILD WORK AND SCHOOLING IN BANGLADESH: THE ROLE OF BIRTH ORDER

2007 ◽  
Vol 39 (5) ◽  
pp. 641-656 ◽  
Author(s):  
RASHEDA KHANAM ◽  
MOHAMMAD MAFIZUR RAHMAN
Keyword(s):  
Birth Order ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Child Work ◽  
Born Child ◽  
Parental Decisions ◽  
Using Data

SummaryUsing data from Bangladesh, this paper examines how the birth order of a child influences parental decisions to place children in one of four activities: ‘study only’, ‘study and work’, ‘neither work nor study’ and ‘work only’. The results of the multinomial logit model show that being a first-born child increases the probability of work as the prime activity, or at least a combination of school and work, rather than schooling only. The results confirm that later-born children are more likely to be in school than their earlier-born counterparts.

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