A new monthly index of the Texas business cycle
The timing, length and severity of economic recessions and expansions in a state are important to businesses seeking to set up operations or expand in those areas. Given a limited amount of data at the state level and their sometimes inconsistent movements, it is not straight forward to define a state business cycle. In this article I attempt to measure the Texas business cycle using a technique developed by Stock and Watson (1989,1991) that statistically estimates the underlying comovement in broad indicators of the state’s economy. The new Texas Coincident Index (TCI) is constructed with the Texas unemployment rate, a quarterly Real Gross State Product measure due to Berger and Phillips (1995), and a nonfarm employment series that is benchmarked quarterly and is seasonally adjusted using the two-step approach described in Berger and Phillips (1993). Use of these components and the Kalman filter, which smoothes across variables as well as over time, results in an index which is much smoother and gives clearer signals of turning points than the old TCI produced by Phillips (1988). The new TCI exhibits cyclical patterns that are highly correlated with those of employment and RGSP, and matches well with recessions and expansions that were independently identified.
|Date of creation:||2004|
|Note:||Published as: Phillips, Keith R. (2005), "A New Monthly Index of the Texas Business Cycle," Journal of Economic and Social Measurement 30 (4): 317-333.|
|Contact details of provider:|| Web page: http://www.dallasfed.org/|
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- Mine K. Yücel & John Thompson, 2002. "Texas economy stalled by recession," Southwest Economy, Federal Reserve Bank of Dallas, issue Nov, pages 1-8.
- Litterman, Robert B, 1983.
"A Random Walk, Markov Model for the Distribution of Time Series,"
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American Statistical Association, vol. 1(2), pages 169-173, April.
- Robert B. Litterman, 1983. "A random walk, Markov model for the distribution of time series," Staff Report 84, Federal Reserve Bank of Minneapolis.
- Franklin D. Berger & Keith R. Phillips, 1993. "Reassessing Texas employment growth," Southwest Economy, Federal Reserve Bank of Dallas, issue Jul, pages 1-3.
- Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
- Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
- Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-476, August.
- Tom Doan, "undated". "CHOWLIN: RATS procedure to distribute a series to a higher frequency using related series," Statistical Software Components RTS00036, Boston College Department of Economics.
- Tom Doan, "undated". "DISAGGREGATE: RATS procedure to implement general disaggregation (interpolation/distribution) procedure," Statistical Software Components RTS00050, Boston College Department of Economics.
- James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters,in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409 National Bureau of Economic Research, Inc.
- Stock, J.H. & Watson, M.W., 1989. "New Indexes Of Coincident And Leading Economic Indicators," Papers 178d, Harvard - J.F. Kennedy School of Government.
- Keith R. Phillips & Lucinda Vargas & Victor Zarnowitz, 1996. "New tools for analyzing the Mexican economy: indexes of coincident and leading economic indicators," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Q II.
- Neftici, Salih N., 1982. "Optimal prediction of cyclical downturns," Journal of Economic Dynamics and Control, Elsevier, vol. 4(1), pages 225-241, November. Full references (including those not matched with items on IDEAS)
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