The interest rate sensitivity of Texas industry
A key factor in forecasting a region's growth is anticipating how a region will respond to changes in national policy. One important way national policy affects a region is through real interest rates. Forecasting regional growth, therefore, requires good estimates of the interest rate sensitivity of regional industries. In this study, Lori Taylor and Mine Yucel use vector autoregression analysis to examine the relationship between changes in real short-term interest rates and changes in Texas industry employment. They find that while a few industries are moderately sensitive to interest rate movements, most Texas industries are insensitive to changes in real interest rates. Moreover, they find that Texas total nonagricultural employment is insensitive to changes in real interest rates. As such, their analysis suggests that real interest rate movements influence the composition of Texas employment rather than its level.
Volume (Year): (1996)
Issue (Month): Q II ()
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- John Y. Campbell & Pierre Perron, 1991.
"Pitfalls and Opportunities: What Macroeconomists Should Know About Unit Roots,"
NBER Technical Working Papers
0100, National Bureau of Economic Research, Inc.
- John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know About Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220 National Bureau of Economic Research, Inc.
- Campbell, John & Perron, Pierre, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," Scholarly Articles 3374863, Harvard University Department of Economics.
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94-23, Federal Reserve Bank of Philadelphia.
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- Franklin D. Berger & Keith R. Phillips, 1994. "Solving the mystery of the disappearing January blip in state employment data," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Q II, pages 53-62.
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