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Forecasting Employment Growth in Sweden Using a Bayesian VAR Model

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In this paper, Bayesian VAR models are used to forecast employment growth in Sweden. Using quarterly data from 1996 to 2015, we conduct an out-of-sample forecast exercise. Results indicate that the forecasting performance at short horizons can be improved when survey data is included, such as employment expectations in the business sector and forward-looking variables from the trade sector.

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  • Raoufina, Karine, 2016. "Forecasting Employment Growth in Sweden Using a Bayesian VAR Model," Working Papers 144, National Institute of Economic Research.
    • Handle: RePEc:hhs:nierwp:0144
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    8. Beechey, Meredith & Österholm, Pär, 2010. "Forecasting inflation in an inflation-targeting regime: A role for informative steady-state priors," International Journal of Forecasting, Elsevier, vol. 26(2), pages 248-264, April.
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    More about this item

    Keywords

    Bayesian VAR model; employment forecasting;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

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