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Article type: Research Article
Authors: Phillips, Keith R.a
Affiliations: [a] Research Department, Federal Reserve Bank of Dallas-San Antonio Branch, 126 E. Nueva, San Antonio, TX 78204, USA. Tel.: +1 210 978 1409; E-mail: keith.r.phillips@dal.frb.org
Abstract: 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 straightforward 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 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, and a nonfarm employment series that is benchmarked quarterly and is seasonally adjusted using the two-step approach described in Berger and Phillips. 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. 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.
DOI: 10.3233/JEM-2005-0255
Journal: Journal of Economic and Social Measurement, vol. 30, no. 4, pp. 317-333, 2005
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