Lehmann, Robert and Wohlrabe, Klaus (2016): Experts, firms, consumers or even hard data? Forecasting employment in Germany.
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Abstract
In this paper, we forecast employment growth for Germany with data for the period from November 2008 to November 2015. Hutter and Weber (2015) introduced an innovative unemployment indicator and evaluate the performance of several leading indicators, including the Ifo Employment Barometer, to predict unemployment changes. Since the Ifo Employment Barometer focuses on employment growth instead of unemployment developments, we mirror the study by Hutter and Weber (2015). It turns out that in our case, and in contrast to their article, the Ifo Employment Barometer outperforms their newly developed indicator. Additionally, consumers’ unemployment expectations and hard data such as new orders exhibit a high forecasting accuracy.
Item Type: | MPRA Paper |
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Original Title: | Experts, firms, consumers or even hard data? Forecasting employment in Germany |
Language: | English |
Keywords: | survey data; employment forecasts; model confidence set |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C52 - Model Evaluation, Validation, and Selection C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E24 - Employment ; Unemployment ; Wages ; Intergenerational Income Distribution ; Aggregate Human Capital ; Aggregate Labor Productivity E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E27 - Forecasting and Simulation: Models and Applications J - Labor and Demographic Economics > J0 - General > J00 - General |
Item ID: | 69611 |
Depositing User: | Robert Lehmann |
Date Deposited: | 19 Feb 2016 14:35 |
Last Modified: | 04 Oct 2019 10:18 |
References: | Abberger, K. (2007). Qualitative business surveys and the assessment of employment - A case study for Germany. International Journal of Forecasting, 23 (2), 249–258. Claveria, O., Pons, E. and Ramos, R. (2007). Business and consumer expectations and macroeconomic forecasts. International Journal of Forecasting, 23 (1), 47–69. Delfs, S., Hutter, C., Schmidt, K. and Weber, E. (2013). Neuer Frühindikator für die Entwicklung der Arbeitslosigkeit: Startschuss für das IAB-Arbeitsmarktbarometer. IAB Kurzbericht 20. Hansen, P. R., Lunde, A. and Nason, J. M. (2011). The model confidence set. Econometrica, 79 (2), 453–497. Henzel, S. R. and Wohlrabe, K. (2014). Das ifo Beschäftigungsbarometer und der deutsche Arbeitsmarkt. ifo Schnelldienst, 67 (15), 35–40. Hutter, C. and Weber, E. (2015). Constructing a new leading indicator for unemployment from a survey among German employment agencies. Applied Economics, 47 (33), 3540–3558. Lehmann, R. and Weyh, A. (2016). Forecasting employment in Europe: Are survey results helpful? Journal of Business Cycle Research, forthcoming. Martinsen, K., Ravazzolo, F. and Wulfsberg, F. (2014). Forecasting macroeconomic variables using disaggregate survey data. International Journal of Forecasting, 30 (1), 65–77. Weber, E. and Zika, G. (2013). Labour market forecasting – Is disaggregation useful? IAB-Discussion Paper 14/2013. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/69611 |