The dynamics of labor force participation : is all quiet on the Appalachian front?
Year of publication: |
2023
|
---|---|
Authors: | Beverly, Josh ; Stewart, Shamar L. ; Neill, Clinton L. |
Published in: |
Empirical economics : a quarterly journal of the Institute for Advanced Studies. - Berlin : Springer, ISSN 1435-8921, ZDB-ID 1462176-9. - Vol. 65.2023, 6, p. 2867-2898
|
Subject: | Appalachia | Bayesian analysis | Dynamic factor model (DFM) | Labor force participation | Stochastic volatility | Time series analysis | Zeitreihenanalyse | Erwerbstätigkeit | Employment | Volatilität | Volatility | Bayes-Statistik | Bayesian inference | Schätzung | Estimation | Stochastischer Prozess | Stochastic process | Theorie | Theory |
-
Time-varying trend models for forecasting inflation in Australia
Guo, Na, (2022)
-
Scalable inference for a full multivariate stochastic volatility model
Dellaportas, Petros, (2023)
-
A Bayesian analysis of unobserved component models using Ox
Bos, Charles S., (2011)
- More ...
-
The Dynamics of Labor Force Participation : Is All Quiet on the Appalachian Front
Beverly, Josh, (2022)
-
ETP tracking of US agricultural and energy markets
Stewart, Shamar L., (2023)
-
Structural sources of oil market volatility and correlation dynamics
Harrison, Andre, (2023)
- More ...