Sleep and the Allocation of Time
Using aggregated data for twelve countries, a cross section of microeconomic data, and a panel of households, the authors demonstrate that increases in time in the labor market reduce sleep. Their theory of the demand for sleep differs from standard models of time use by assuming that sleep affects wages by affecting labor market productivity. Estimates of a system of demand equations demonstrate that higher wage rates reduce sleep time among men, but increase their waking nonmarket time by an equal amount. Among women the wage effect on sleep is negative by very small. Copyright 1990 by University of Chicago Press.
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- Kooreman, P. & Kapteyn, A.J., 1984.
"A disaggregated analysis of the allocation of time within the household,"
FEW 153, Tilburg University, School of Economics and Management.
- Kooreman, Peter & Kapteyn, Arie, 1987. "A Disaggregated Analysis of the Allocation of Time within the Household," Journal of Political Economy, University of Chicago Press, vol. 95(2), pages 223-249, April.
- Michael Abbott & Orley Ashenfelter, 1976.
"Labour Supply, Commodity Demand and the Allocation of Time,"
Review of Economic Studies,
Oxford University Press, vol. 43(3), pages 389-411.
- Michael Abbott & Orley Ashenfelter, 1974. "Labor Supply, Commodity Demand, and the Allocation of Time," Working Papers 437, Princeton University, Department of Economics, Industrial Relations Section..
- Stafford, Frank & Duncan, Greg J., 1979. "The Use of Time and Technology by Households in the United States," Working Paper Series 21, Research Institute of Industrial Economics.
- James J. Heckman & Thomas E. Macurdy, 1980. "A Life Cycle Model of Female Labour Supply," Review of Economic Studies, Oxford University Press, vol. 47(1), pages 47-74.
- Murphy, Kevin M & Topel, Robert H, 1985.
"Estimation and Inference in Two-Step Econometric Models,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 3(4), pages 370-379, October.
- Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
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