Hutter, Christian and Weber, Enzo (2015) Constructing a new leading indicator for unemployment from a survey among German employment agencies. APPLIED ECONOMICS, 47 (33). pp. 3540-3558. ISSN 0003-6846, 1466-4283
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The article investigates the predictive power of a new survey implemented by the Federal Employment Agency (FEA) for forecasting German unemployment in the short run. Every month, the CEOs of the FEA's regional agencies are asked about their expectations of future labour market developments. We generate an aggregate unemployment leading indicator that exploits serial correlation in response behaviour through identifying and adjusting temporarily unreliable predictions. We use out-of-sample tests suitable in nested model environments to compare forecasting performance of models including the new indicator to that of purely autoregressive benchmarks. For all investigated forecast horizons (1, 2, 3 and 6 months), test results show that models enhanced by the new leading indicator significantly outperform their benchmark counterparts. To compare our indicator to potential competitors, we employ the model confidence set. Results reveal that models including the new indicator perform very well at the 10% level.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | TIME-SERIES; UNIT-ROOT; PREDICTIVE ACCURACY; NESTED MODELS; TESTS; COINTEGRATION; FORECASTS; survey data; forecast evaluation; nested models; model confidence set; unemployment |
| Subjects: | 300 Social sciences > 330 Economics |
| Divisions: | Business, Economics and Information Systems > Institut für Volkswirtschaftslehre und Ökonometrie > Lehrstuhl für Empirische Wirtschaftsforschung, insbesondere Makroökonomie und Arbeitsmarkt (Prof. Dr. Enzo Weber) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 31 Jul 2019 09:04 |
| Last Modified: | 31 Jul 2019 09:04 |
| URI: | https://pred.uni-regensburg.de/id/eprint/6254 |
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