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A Guide to the StatFact EViews Add-in

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Abstract

This is a short paper which details the user-written StatFact add-in released by IHS on November 10, 2014. The first section introduces and explains the motivation behind the development of the add-in, the second section details the econometric procedures undertaken and the third provides guidance on the use of the software. The fourth section outlines two empirical examples, and the fifth suggests possible implementations and further developments.

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Notes

  1. Available at http://www.eviews.com/Addins/StatFact.aipz.

  2. The data for Sect. 4.2 are available as part of the replication files of this guide, and .m files at http://www.runmycode.org/coder/view/151.

References

  • Bai, J., & Ng, S. (2002). Determining the number of factors in approximate factor models. Econometrica, 70(1), 191–221.

    Article  Google Scholar 

  • Banerjee, A., Marcellino, M., & Masten, I. (2014). Forecasting with factor-augmented error correction models. International Journal of Forecasting, 30(3), 589–612.

    Article  Google Scholar 

  • Bernanke, B., Boivin, J., & Eliasz, P. (2005). Measuring the effects of monetary policy: A factor-augmented vector autoregressive (FAVAR) approach. The Quarterly Journal of Economics, 120(1), 387–422.

    Google Scholar 

  • Forni, M., Hallin, M., Lippi, M., & Reichlin, L. (2005). The generalized dynamic factor model: One-sided estimation and forecasting. Journal of the American Statistical Association, 100(471), 830–840.

    Article  Google Scholar 

  • Stock, J., & Watson, M. (2002). Forecasting using principal components from a large number of predictors. Journal of the American Statistical Association, 97, 1167–1179.

    Article  Google Scholar 

  • Stock, J.H., & Watson, M.W. (2005). Implications of dynamic factor models for VAR analysis. Working Paper 11467, National Bureau of Economic Research.

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Correspondence to Charles Rahal.

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Rahal, C. A Guide to the StatFact EViews Add-in. Comput Econ 48, 183–188 (2016). https://doi.org/10.1007/s10614-015-9507-6

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  • DOI: https://doi.org/10.1007/s10614-015-9507-6

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