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A new quarterly output measure for Texas

Listed author(s):
  • Franklin D. Berger
  • Keith R. Phillips

Real gross domestic product is one of the most watched indicators of the U.S. business cycle. Yet at the state level, output measures are rarely used to track business conditions. Although the Bureau of Economic Analysis estimates real gross state product (RGSP), the long release lag (usually about two and one-half years after the reporting year) and the annual periodicity of the data severely limit its usefulness. ; In this article, Frank Berger and Keith Phillips find that movements in quarterly personal income and various price measures can accurately explain movements in total Texas RGSP and in eleven broad industry groupings. Based on these findings, Berger and Phillips create quarterly measures of total and industry-specific Texas RGSP that will be available about four months after the reporting quarter. The new series represents a comprehensive measure of economic activity in the state that can be used along with other timely indicators, such as nonfarm employment and the unemployment rate, to gauge current business conditions.

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Article provided by Federal Reserve Bank of Dallas in its journal Economic and Financial Policy Review.

Volume (Year): (1995)
Issue (Month): Q III ()
Pages: 16-23

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Handle: RePEc:fip:fedder:y:1995:i:qiii:p:16-23
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  1. Franklin D. Berger & William T. Long, III, 1989. "The Texas industrial production index," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Nov, pages 21-38.
  2. 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.
  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.
  4. Engle, Robert F. & Yoo, Byung Sam, 1987. "Forecasting and testing in co-integrated systems," Journal of Econometrics, Elsevier, vol. 35(1), pages 143-159, May.
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