Forecasting the US Unemployment Rate with Job Openings Index

  title={Forecasting the US Unemployment Rate with Job Openings Index},
  author={Xin-Wei Huang},
Predicting the unemployment rate is one of the most important applications for economists and policymakers (Golan, 2002). In this thesis, the focus is on the seasonally adjusted U.S. national unemployment rate (UR). The goal is to introduce the seasonally adjusted job openings (JOB) for UR forecasting. In order to forecast UR, firstly, an integrated autoregressive moving average model (ARIMA) is constructed as a benchmark mode. For a better comparison, a well known leading indicator – the… 

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Predicting the US unemployment rate using Bayesian model averaging



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    Review of Economics and Statistics
  • 1997
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