z-logo
open-access-imgOpen Access
Evolution of Behavior, Uncertainty, and the Difficulty of Predicting Labor Force Participation
Author(s) -
Patrick Higgins,
Julie L. Hotchkiss,
Ellyn Terry
Publication year - 2019
Publication title -
business and economic research
Language(s) - English
Resource type - Journals
ISSN - 2162-4860
DOI - 10.5296/ber.v9i4.15350
Subject(s) - demographics , economics , aggregate (composite) , econometrics , term (time) , econometric model , materials science , demography , physics , quantum mechanics , sociology , composite material
This paper demonstrates the difficulty of forecasting labor force participation (LFP) rates by showing that a random walk does just as well as select sophisticated econometric models in predicting short-term aggregate LFP. Most efforts to improve forecasts of LFP focus on fine-tuning predictions of determinants (i.e., demographics and labor market conditions). However, we show that even perfect knowledge of future demographic trends and labor market conditions is not enough to overcome the additional difficulty posed by changes in behavior over time. Behavior in this paper refers to the way in which demographics and labor market conditions impact labor supply decisions (i.e., parameter coefficients).

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here