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dc.contributor.authorStock, James
dc.contributor.authorWatson, Mark
dc.date.accessioned2019-08-01T19:56:27Z
dc.date.issued2017-05
dc.identifier.citationStock, James H., and Mark W. Watson. 2017. Twenty Years of Time Series Econometrics in Ten Pictures. Journal of Economic Perspectives 31, no. 2 (Spring): 59-86.en_US
dc.identifier.issn0895-3309en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:41048976*
dc.description.abstractThis review tells the story of the past 20 years of time series econometrics through ten pictures. These pictures illustrate six broad areas of progress in time series econometrics: estimation of dynamic causal effects; estimation of dynamic structural models with optimizing agents (specifically, dynamic stochastic equilibrium models); methods for exploiting information in “big data” that are specialized to economic time series; improved methods for forecasting and for monitoring the economy; tools for modeling time variation in economic relationships; and improved methods for statistical inference. Taken together, the pictures show how 20 years of research have improved our ability to undertake our professional responsibilities. These pictures also remind us of the close connection between econometric theory and the empirical problems that motivate the theory, and of how the best econometric theory tends to arise from practical empirical problems.en_US
dc.description.sponsorshipEconomicsen_US
dc.language.isoen_USen_US
dc.publisherAmerican Economic Associationen_US
dash.licenseLAA
dc.titleTwenty Years of Time Series Econometrics in Ten Picturesen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalJournal of Economic Perspectivesen_US
dash.depositing.authorStock, James
dc.date.available2019-08-01T19:56:27Z
dash.workflow.commentsFAR2017en_US
dc.identifier.doi10.1257/jep.31.2.59
dc.source.journalJournal of Economic Perspectives
dash.source.volume31;2
dash.source.page59-86
dash.contributor.affiliatedStock, James


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