Social Mobility Models for Heterogeneous Populations

Singer, Burton H.; Spilerman, Seymour

doi:10.2307/270841

“…As Fougère and Kamionka (1992a) First, as pointed out by Singer and Spilerman (1973), the natural time scale for many mobility processes is not a discrete sequence of intervals such as generations or decades but a continuum of time points. Labor status mobility can be viewed more realistically as a process in which states changes occur at random time points, and probabilities of moves between particular states are governed by Markov transition matrices.…”

Section: Estimating Continuous Time Markov Processesmentioning

confidence: 99%

Comparative Analysis Of Labor Market Dynamics Using Markov Processes : An Application To Informality

Bosch¹,

Maloney²

2007

Policy Research Working Papers

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit company supported by Deutsche Post World Net. The center is associated with the University of Bonn and offers a stimulating research environment through its research networks, research support, and visitors and doctoral programs. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. Terms of use: Documents in Comparative Analysis of Labor Market Dynamics Using Markov Processes: An Application to Informality Mariano Bosch William Maloney D I S C U S S I O N P A P E R S E R I E SIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. ABSTRACT Comparative Analysis of Labor Market Dynamics Using Markov Processes: An Application to InformalityThis paper discusses a set of statistics for examining and comparing labor market dynamics based on the estimation of continuous time Markov transition processes. It then uses these to establish stylized facts about dynamic patterns of movement using panel data from Argentina, Brazil and Mexico. The estimates suggest broad commonalities among the three countries, and establish numerous common patterns of worker mobility among sectors of work and inactivity. As such, we offer some of the first comparative work on labor dynamics. The paper then particularly focuses on the role of the informal sector, both for its intrinsic interest, and as a case study illustrating the strengths and limits of the tools. The results suggest that a substantial part of the informal sector, particularly the self-employed, corresponds to voluntary entry although informal salaried work may correspond more closely to the standard queuing view, especially for younger workers.JEL Classification: C14, J21, J24, J64, O17

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“…First, as pointed out by Singer and Spilerman (1973), the natural time scale for many mobility processes is not a discrete sequence of intervals such as generations or decades but a continuum of time points. Labor status mobility can be viewed more realistically as a process in which states changes occur at random time points, and probabilities of moves between particular states are governed by Markov transition matrices.…”

Section: Estimating Continuous Time Markov Processesmentioning

confidence: 99%

Comparative analysis of labor market dynamics using Markov processes: An application to informality

Bosch

¹

,

Maloney

²

2010

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit company supported by Deutsche Post World Net. The center is associated with the University of Bonn and offers a stimulating research environment through its research networks, research support, and visitors and doctoral programs. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. Terms of use: Documents in Comparative Analysis of Labor Market Dynamics Using Markov Processes: An Application to Informality Mariano Bosch William Maloney D I S C U S S I O N P A P E R S E R I E SIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. ABSTRACT Comparative Analysis of Labor Market Dynamics Using Markov Processes: An Application to InformalityThis paper discusses a set of statistics for examining and comparing labor market dynamics based on the estimation of continuous time Markov transition processes. It then uses these to establish stylized facts about dynamic patterns of movement using panel data from Argentina, Brazil and Mexico. The estimates suggest broad commonalities among the three countries, and establish numerous common patterns of worker mobility among sectors of work and inactivity. As such, we offer some of the first comparative work on labor dynamics. The paper then particularly focuses on the role of the informal sector, both for its intrinsic interest, and as a case study illustrating the strengths and limits of the tools. The results suggest that a substantial part of the informal sector, particularly the self-employed, corresponds to voluntary entry although informal salaried work may correspond more closely to the standard queuing view, especially for younger workers.JEL Classification: C14, J21, J24, J64, O17

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“…Thus the estimation problem was that of identifying an embedded Markov chain (cf. Singer and Spilerman 1974). Laditka (1998) used that estimated model of functional-status transitions to impute a sequence of monthly functional-status values to respondents to the National Long-term Care Survey (NLTCS), in which functional status is known only for the month of interview in waves I (1982), II (1984) and III (1989).…”

Section: Imputing Missing Valuesmentioning

confidence: 99%

The Role of Microsimulation in Longitudinal Data Analysis

Wolf

¹

2001

CSP

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Abstract:Microsimulation is well known as a tool for static analysis of tax and transfer policies, for the generation of programmatic cost estimates, and dynamic analyses of socio-economic and demographic systems.However, microsimulation also has the potential to contribute to longitudinal data analysis in several ways, including extending the range of outputs generated by a model, addressing several defective-data problems, and serving as a vehicle for missing-data imputation. This paper discusses microsimulation procedures suitable for several commonly-used statistical models applied to longitudinal data. It also addresses the unique role that can be played by microsimulation in longitudinal data analysis, and the problem of accounting for the several sources of variability associated with microsimulation procedures. Methodological Issues -Douglas A. Wolf 314 RésuméLa micro-simulation est bien connu comme un outil pour l'analyse statique des politiques d'impôts et de transfert, pour l'estimation des coûts des programmes, et pour l'analyse dynamique des systèmes socio-économiques et démographiques. Cependant, le micro-simulation offre également des possibilités intéressantes pour l'analyse de données longitudinale, y compris le développement d'autres produites du modèle, la possibilité d'adresser des problèmes de données déficientes, et comme véhicule pour l'imputation de données manquantes. Cet article discute des procédures de micro-simulation appropriées à plusieurs modèles statistiques qui utilisent des données longitudinales. Il adresse également le rôle unique qui peut être joué par la micro-simulation dans l'analyse de données longitudinale, et le problème posé par les multiples sources de variabilité dans les procédures de micro-simulation.

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Social Mobility Models for Heterogeneous Populations

Cited by 65 publications

References 16 publications

Comparative Analysis Of Labor Market Dynamics Using Markov Processes : An Application To Informality

Comparative Analysis Of Labor Market Dynamics Using Markov Processes : An Application To Informality

Comparative analysis of labor market dynamics using Markov processes: An application to informality

The Role of Microsimulation in Longitudinal Data Analysis

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