Multistate event history analysis with frailty

Bijwaard, Govert E.

doi:10.4054/demres.2014.30.58

Cited by 30 publications

(31 citation statements)

References 45 publications

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“…An interesting application of the semi-Markov process in the labour flow analysis appears in the papers of Schumm (2009) and Bijwaard (2014). By Schumm the semi-Markov process allows a more realistic description of behavior of an individual in a labour market, using the German labour flow data.…”

Section: Literature Reviewmentioning

confidence: 99%

Semi- Markov processes in labor market theory: The case of Switzerland

Spaseski

2018

scjournal

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The mathematical base of stochastic labor markets is the theory of Markov processes, and the uncertainty is its indivisible part. Markov processes are used to calculate the equilibrium position, the time needed to reach it, natural rate of unemployment, transition probabilities and first passage time. While the theories of uncertainty give why workers transit, identify the market anomalies and best fitted Markov model. The findings showed that the semi-Markov labor model better fi Switzerland data. Furthermore, the time needed to reach the equilibrium position is 4.6 years and the right number of employed workers, unemployed and inactive workers maintain the highest rate of reduction is 67.16 %, 1.31 % and 31.54 % respectively, where 1.31% is the natural rate of unemployment. What is also important to point that the percent of employed workers in Switzerland is expected to decrease from 79.4% to 67.16%, while the percent of inactive workers is projected to increase significantly, from 15.9%to 31.54%. are expected to transit to an Inactive state in the future and stay there for a longer time are the older works (above 45 years). In other words, t Switzerland labor market is directed toward its "bad" equilibrium. end, the demographic structure is considered as one of the main factors for sustainable growth. Therefore, the government is suggested to control the population growth and put into practice newpolicies,becausethe traditional pro-family policies encourage bigger families has failed to increase the fertility rates to expected levels.

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Section: Literature Reviewmentioning

confidence: 99%

Semi- Markov processes in labor market theory: The case of Switzerland

Spaseski

2018

scjournal

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“…Analogously, d i,ju,s is 1 if there is a transition from job to unemployment. Our Stata code for estimation is largely based upon that of Bijwaard ().…”

Section: Econometric Frameworkmentioning

confidence: 99%

“…., S are the spells of individual i, and d i,uj,s is a dummy that is 1 if there is a transition from unemployment to any job at the spell s. Analogously, d i,ju,s is 1 if there is a transition from job to unemployment. Our Stata code for estimation is largely based upon that of Bijwaard (2014). Table 3 presents the results for our benchmark model.…”

Section: Econometric Frameworkmentioning

confidence: 99%

Unemployment Exits Before and During the Crisis

García

Soest

2017

Labour

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Using administrative data from Spain, we compare the pattern and the determinants of individual unemployment durations and the stability of jobs found after unemployment before and during the recent crisis. We find particularly strong effects of the crisis on the hazards in the beginning of the unemployment spell. The groups hit hardest by the crisis are men, immigrants, older workers, and low‐educated individuals. The disadvantage of men is mainly due to the more pro‐cyclical nature of men's jobs. The increase in average unemployment duration and the fall in the duration of new jobs are not explained by composition effects.

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“…Models with frailty terms also provide more accurate estimates of individual-level covariates (Bijwaard 2014), and consider unobserved heterogeneity. When using a Cox model or a logistic discrete-time model (with or without a random intercept), one usually estimates a separate model for each competing risk (i.e., typical subsequences of changes here).…”

Section: Estimation Methodsmentioning

confidence: 99%

Estimating the Relationship between Time-varying Covariates and Trajectories: The Sequence Analysis Multistate Model Procedure

Studer

Struffolino

Fasang

2018

Sociological Methodology

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The relationship between processes and time-varying covariates is of central theoretical interest in addressing many social science research questions. On the one hand, event history analysis has been the chosen method to study these kinds of relationships when the outcomes can be meaningfully specified as simple instantaneous events or transitions. On the other hand, sequence analysis has made increasing inroads into the social sciences to analyze trajectories as holistic "process outcomes". We propose an original combination of these two approaches called Sequence Analysis Multistate Model (SAMM) procedure. The SAMM procedure allows studying the relationship between time-varying covariates and trajectories of categorical states specified as process outcomes that unfold over * Corresponding author. Email: matthias.studer@unige.ch.

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Multistate event history analysis with frailty

Cited by 30 publications

References 45 publications

Semi- Markov processes in labor market theory: The case of Switzerland

Semi- Markov processes in labor market theory: The case of Switzerland

Unemployment Exits Before and During the Crisis

Estimating the Relationship between Time-varying Covariates and Trajectories: The Sequence Analysis Multistate Model Procedure

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