scholarly journals Worker Types, Job Displacement, and Duration Dependence

2021 ◽  
Vol 2021 (13) ◽  
Author(s):  
Victoria Gregory ◽  
Guido Menzio ◽  
David Wiczer
Keyword(s):  
Job Displacement ◽  
Duration Dependence

The Nature and Unequal Incidence of Job Displacement Costs

1990 ◽  
Vol 37 (2) ◽  
pp. 230-242 ◽  
Author(s):  
Thomas S. Moore
Keyword(s):  
Job Displacement

An easy way to create duration variables in binary cross-sectional time-series data

2020 ◽  
Vol 20 (4) ◽  
pp. 916-930
Author(s):  
Andrew Q. Philips
Keyword(s):  
Time Series ◽  
Missing Data ◽  
Time Series Data ◽  
Series Data ◽  
Duration Dependence ◽  
Cross Sectional ◽  
Common Solution ◽  
The Common

In cross-sectional time-series data with a dichotomous dependent variable, failing to account for duration dependence when it exists can lead to faulty inferences. A common solution is to include duration dummies, polynomials, or splines to proxy for duration dependence. Because creating these is not easy for the common practitioner, I introduce a new command, mkduration, that is a straightforward way to generate a duration variable for binary cross-sectional time-series data in Stata. mkduration can handle various forms of missing data and allows the duration variable to easily be turned into common parametric and nonparametric approximations.

scholarly journals Job Search and Savings: Wealth Effects and Duration Dependence

2005 ◽  
Vol 23 (3) ◽  
pp. 467-489 ◽  
Author(s):  
Rasmus Lentz ◽  
Torben Tranæs
Keyword(s):  
Job Search ◽  
Wealth Effects ◽  
Duration Dependence

scholarly journals Job Ladders and Earnings of Displaced Workers

2017 ◽  
Vol 9 (2) ◽  
pp. 1-31 ◽  
Author(s):  
Pawel Krolikowski
Keyword(s):  
Displaced Workers ◽  
Job Displacement ◽  
Wage Dispersion ◽  
Earnings Losses ◽  
Displaced Worker

Workers who suffer job displacement experience surprisingly large and persistent earnings losses. This paper proposes an explanation for this robust empirical puzzle in a model of search with a significant job ladder and increased separation rates for the recently hired. In addition to capturing the depth and persistence of displaced worker earnings losses, the model matches: employment-to-nonemployment and employer-to-employer probabilities by tenure; the empirical decomposition of earnings losses into reduced wages and employment; observed wage dispersion; and the distribution of wage changes around a nonemployment event. (JEL J31, J63, J64)

Bubbles, Stock Returns, and Duration Dependence

1994 ◽  
Vol 29 (3) ◽  
pp. 379 ◽  
Author(s):  
Grant McQueen ◽  
Steven Thorley
Keyword(s):  
Stock Returns ◽  
Duration Dependence

Time is Not A Theoretical Variable

2010 ◽  
Vol 18 (3) ◽  
pp. 293-294 ◽  
Author(s):  
Nathaniel Beck
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Duration Dependence ◽  
Cross Section Data ◽  
Section Data ◽  
Data Analyst ◽  
Binary Time Series ◽  
Simple Cubic ◽  
Cubic Polynomial

Carter and Signorino (2010) (hereinafter “CS”) add another arrow, a simple cubic polynomial in time, to the quiver of the binary time series—cross-section data analyst; it is always good to have more arrows in one's quiver. Since comments are meant to be brief, I will discuss here only two important issues where I disagree: are cubic duration polynomials the best way to model duration dependence and whether we can substantively interpret duration dependence.

Sign in / Sign up

Export Citation Format

Share Document