The Decline in Income Growth Volatility in the United States: Evidence from Regional Data
AbstractWe use US regional and state data to determine which regions have contributed most to the apparent decline in income growth volatility in the United States. We study changes in the variance of income growth in each region, changes in the covariance of growth between regions and changes in regional income growth shares. We establish that there has been a significant decline in the income growth volatility in thirty eight US states, and it is this, rather than changes in income shares, that is mostly responsible for the decline in the aggregate growth volatility. Further, we find that the twelve states that show no significant decline in their income growth volatility, are states with policies that make them unattractive to new businesses. We suggest that state level industrial policy may be a good, albeit partial, explanation for the decline in income growth volatility of the United States.
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Bibliographic InfoPaper provided by Monash University, Department of Econometrics and Business Statistics in its series Monash Econometrics and Business Statistics Working Papers with number 21/03.
Length: 20 Pages
Date of creation: Nov 2003
Date of revision:
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Postal: PO Box 11E, Monash University, Victoria 3800, Australia
Web page: http://www.buseco.monash.edu.au/depts/ebs/
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Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
- L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
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- D van Dijk & D R Osborn & M Sensier, 2002.
"Changes in variability of the business cycle in the G7 countries,"
The School of Economics Discussion Paper Series
0204, Economics, The University of Manchester.
- van Dijk, D.J.C. & Osborn, D.R. & Sensier, M., 2002. "Changes in variability of the business cycle in the G7 countries," Econometric Institute Research Papers EI 2002-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- D van Dijk & D R Osborn & M Sensier, 2002. "Changes in Variability of the Business Cycle in the G7 Countries," Centre for Growth and Business Cycle Research Discussion Paper Series 16, Economics, The Univeristy of Manchester.
- Gerald Carlino & Robert DeFina & Keith Sill, 2011.
"The long and large decline in state employment growth volatility,"
11-16, Federal Reserve Bank of Philadelphia.
- Gerald A. Carlino & Robert Defina & Keith Sill, 2013. "The Long and Large Decline in State Employment Growth Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2-3), pages 521-534, 03.
- Gerald Carlino & Robert DeFina & Keith Sill, 2009. "The long and large decline in state employment growth volatility," Working Papers 09-9, Federal Reserve Bank of Philadelphia.
- Gerald Carlino & Robert DeFina & Keith Sill, 2007. "The long and large decline in state employment growth volatility," Working Papers 07-11, Federal Reserve Bank of Philadelphia.
- Michael T. Owyang & Jeremy Piger & Howard J. Wall & Federal Reserve Bank of St. Louis, 2006.
"A State-Level Analysis of the Great Moderation,"
Computing in Economics and Finance 2006
131, Society for Computational Economics.
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