Unobserved Heterogeneity, State Dependence, and Health Plan Choices

2021 ◽  
Author(s):  
Ariel Pakes ◽  
Jack R. Porter ◽  
Mark Shepard ◽  
Sophie Calder-Wang
Keyword(s):  
Health Plan ◽  
Unobserved Heterogeneity ◽  
State Dependence

scholarly journals Unobserved Heterogeneity, State Dependence, and Health Plan Choices

2021 ◽  
Author(s):  
Ariel Pakes ◽  
Jack Porter ◽  
Mark Shepard ◽  
Sophie Calder-Wang
Keyword(s):  
Health Plan ◽  
Unobserved Heterogeneity ◽  
State Dependence

Unobserved Heterogeneity, State Dependence, and Health Plan Choices

2021 ◽  
Author(s):  
Ariel Pakes ◽  
Jack R. Porter ◽  
Mark Shepard ◽  
Sophie Calder-Wang
Keyword(s):  
Health Plan ◽  
Unobserved Heterogeneity ◽  
State Dependence

State dependence and unobserved heterogeneity in the employment transitions of the over-50s

2009 ◽  
Vol 38 (3) ◽  
pp. 523-554 ◽  
Author(s):  
Lorenzo Cappellari ◽  
Richard Dorsett ◽  
Getinet Haile
Keyword(s):  
Unobserved Heterogeneity ◽  
State Dependence ◽  
Employment Transitions

Modeling Duration Dependence

2000 ◽  
Vol 8 (4) ◽  
pp. 367-380 ◽  
Author(s):  
Christopher J. W. Zorn
Keyword(s):  
Unobserved Heterogeneity ◽  
State Dependence ◽  
Weibull Model ◽  
Simple Extension ◽  
Duration Model ◽  
Duration Dependence ◽  
Using Data ◽  
Substantive Importance ◽  
Over Time ◽  
Causal Variables

As applications of duration analysis have burgeoned in political science, scholars have become increasingly aware of the potential substantive importance of duration dependence: the extent to which the conditional hazards of the events of interest are rising or falling over time. Here I discuss the issue of duration dependence, focusing on the distinction between “spurious” dependence due to unobserved heterogeneity and “true” duration dependence due to state dependence in the process of interest. I present a simple extension of a commonly used parametric duration model—the Weibull model—which allows researchers to assess the influence of causal variables on the nature and extent of duration dependence in their data. I then illustrate the application of this “generalized Weibull” model using data on the duration of international alliances.

Are Female Managers More Likely to Hire More Female Managers? Evidence from Germany

ILR Review ◽  
2019 ◽  
Vol 73 (3) ◽  
pp. 676-704 ◽  
Author(s):  
Mario Bossler ◽  
Alexander Mosthaf ◽  
Thorsten Schank
Keyword(s):  
Linear Models ◽  
Unobserved Heterogeneity ◽  
State Dependence ◽  
Gender Composition ◽  
Hiring Decisions ◽  
Dynamic Linear Models ◽  
The Past ◽  
Female Managers ◽  
Subsequent Period ◽  
Dependent Variables

This article investigates whether there is state dependence in the gender composition of managers in German establishments; that is, whether the number of hired female managers depends on the past hiring decisions of an establishment. Using administrative data, the authors apply dynamic linear models, thereby accounting for unobserved heterogeneity and the endogeneity of lagged dependent variables. Results show that hiring female managers leads to the hiring of more female managers in the subsequent period. Hiring rates for male managers follow a similar pattern in that they are more likely to hire more male managers.

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