Trends on the hours worked of the employed, 1997 - 2011
AbstractThis paper analyses trends in hours worked from South African household survey data for the period 1997 – 2011. The purpose of the paper is fourfold. First, the paper provides an overview on the trends in hours worked of formal sector employees, by various demographic and work characteristics. Second, the paper aims to establish how mean hours worked corresponded to the business cycle and third, the reliability of the Statistics South Africa hours worked data is assessed by comparing it with the data on hours working in the manufacturing sector by the Bureau of Economic Research (BER). Last, the newly derived hours worked variables are evaluated in terms of their usefulness as leading indicators, and how they can be used in productivity studies in the South African macroeconomic environment.
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Bibliographic InfoPaper provided by Stellenbosch University, Department of Economics in its series Working Papers with number 15/2012.
Date of creation: 2012
Date of revision:
Work hours; Business cycles; Formal sector employees; Manufacturing industry; South Africa;
Other versions of this item:
- Derek Yu & AdÃ©l Bosch, 2012. "Trends on the hours worked of the employed, 1997 - 2011," Working Papers 302, Economic Research Southern Africa.
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- J00 - Labor and Demographic Economics - - General - - - General
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- Glosser, Stuart M. & Golden, Lonnie, 1997. "Average work hours as a leading economic variable in US manufacturing industries," International Journal of Forecasting, Elsevier, vol. 13(2), pages 175-195, June.
- Jordi Gali & Pau Rabanal, 2004. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBS Model Fit Postwar U.S. Data?," NBER Working Papers 10636, National Bureau of Economic Research, Inc.
- Layton, Allan P & Moore, Geoffrey H, 1989. "Leading Indicators for the Service Sector," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(3), pages 379-86, July.
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