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Bayesian Leading Indicators: Measuring and Predicting Economic Conditions in Iowa

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Author Info
Otrok, C. () (University of Iowa)
Whiteman, C.H. () (University of Iowa)

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Abstract

This paper designs and implements a Bayesian dynamic latent factor model for a vector of data describing the Iowa economy.

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Publisher Info
Paper provided by University of Iowa, Department of Economics in its series Working Papers with number 96-14.

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Length: 26 pages
Date of creation: 1996
Date of revision:
Handle: RePEc:uia:iowaec:96-14

Contact details of provider:
Postal: University of Iowa, Department of Economics, Henry B. Tippie College of Business, Iowa City, Iowa 52242
Phone: (319) 335-0829
Fax: (319) 335-1956
Web page: http://tippie.uiowa.edu/economics/
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Related research
Keywords: ECONOMIC MODELS;

Other versions of this item:

Find related papers by JEL classification:
E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods

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Statistics
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This page was last updated on 2009-10-31.


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