Confidence Intervals for Diffusion Index Forecasts and Inference for Factor-Augmented Regressions
dc.contributor.author | Bai, Jushan | en_US |
dc.contributor.author | Ng, Serena | en_US |
dc.date.accessioned | 2010-06-01T20:44:12Z | |
dc.date.available | 2010-06-01T20:44:12Z | |
dc.date.issued | 2006-07 | en_US |
dc.identifier.citation | Bai, Jushan; Ng, Serena (2006). "Confidence Intervals for Diffusion Index Forecasts and Inference for Factor-Augmented Regressions." Econometrica 74(4): 1133-1150. <http://hdl.handle.net/2027.42/73839> | en_US |
dc.identifier.issn | 0012-9682 | en_US |
dc.identifier.issn | 1468-0262 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/73839 | |
dc.format.extent | 189313 bytes | |
dc.format.extent | 3109 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Blackwell Publishing Ltd | en_US |
dc.rights | The Econometric Society 2006 | en_US |
dc.subject.other | Panel Data | en_US |
dc.subject.other | Common Factors | en_US |
dc.subject.other | Generated Regressors | en_US |
dc.subject.other | Cross-section Dependence | en_US |
dc.subject.other | Robust Covariance Matrix | en_US |
dc.title | Confidence Intervals for Diffusion Index Forecasts and Inference for Factor-Augmented Regressions | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/73839/1/j.1468-0262.2006.00696.x.pdf | |
dc.identifier.doi | 10.1111/j.1468-0262.2006.00696.x | en_US |
dc.identifier.source | Econometrica | en_US |
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dc.identifier.citedreference | Shintani, M. ( 2002 ): “ Nonlinear Analysis of Business Cycles Using Diffusion Indexes: Applications to Japan and the U.S.,” Mimeo, Vanderbilt University.[ 1133 ]. | en_US |
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dc.identifier.citedreference | Stock, J. H., M. W. Watson ( 2002b ): “ Macroeconomic Forecasting Using Diffusion Indexes,” Journal of Business & Economic Statistics, 20, 147 – 162.[ 1133 ]. | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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