- Tytuł:
- Triple-goal Estimation of Unemployment Rates for U.S. States Using the U.S. Current Population Survey Data
- Autorzy:
-
Bonnéry, Daniel
Cheng, Yang
Ha, Neung Soo
Lahiri, Partha - Powiązania:
- https://bibliotekanauki.pl/articles/465991.pdf
- Data publikacji:
- 2015
- Wydawca:
- Główny Urząd Statystyczny
- Tematy:
-
complex survey data
empirical distribution function
Monte Carlo Markov Chain
rank
risk
small area estimation - Opis:
- In this paper, we first develop a triple-goal small area estimation methodology for simultaneous estimation of unemployment rates for U.S. states using the Current Population Survey (CPS) data and a two-level random sampling variance normal model. The main goal of this paper is to illustrate the utility of the triple-goal methodology in generating a single series of unemployment rate estimates for three separate purposes: developing estimates for individual small area means, producing empirical distribution function (EDF) of true small area means, and the ranking of the small areas by true small area means. We achieve our goal using a Monte Carlo simulation experiment and a real data analysis.
- Źródło:
-
Statistics in Transition new series; 2015, 16, 4; 511-522
1234-7655 - Pojawia się w:
- Statistics in Transition new series
- Dostawca treści:
- Biblioteka Nauki
Artykuł