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.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by Federal Reserve Bank of Dallas in its series Working Papers with number
04-01.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.: