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Things that make us different: analysis of variance in the use of time

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  • Jorge González-Chapela

    ()
    (Universidad de Alicante)

Abstract

The bounded character of time-use data poses a challenge to the analysis of variance based on classical linear models. This paper investigates a computationally simple variance decomposition technique suitable for these data. As a by-product of the analysis, a measure of fit for systems of time-demand equations that possesses several useful properties is proposed.

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File URL: http://www.ivie.es/downloads/docs/wpasad/wpasad-2010-18.pdf
File Function: Fisrt version / Primera version, 2010
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Bibliographic Info

Paper provided by Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie) in its series Working Papers. Serie AD with number 2010-18.

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Length: 26 pages
Date of creation: Apr 2010
Date of revision:
Publication status: Published by Ivie
Handle: RePEc:ivi:wpasad:2010-18

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Related research

Keywords: ime allocation; multivariate regression; deviance.;

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  1. José J. Sempere Monerris & Rafael Moner Colonques & Amparo Urbano Salvador, 2010. "Trade liberalization in vertically related markets," Working Papers. Serie AD 2010-09, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  2. Colin Cameron, A. & Windmeijer, Frank A. G., 1997. "An R-squared measure of goodness of fit for some common nonlinear regression models," Journal of Econometrics, Elsevier, vol. 77(2), pages 329-342, April.
  3. Victoria Prowse, 2009. "Estimating labour supply elasticities under rationing: a structural model of time allocation behaviour," Canadian Journal of Economics, Canadian Economics Association, vol. 42(1), pages 90-112, February.
  4. Leslie E. Papke & Jeffrey M. Wooldridge, 1993. "Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates," NBER Technical Working Papers 0147, National Bureau of Economic Research, Inc.
  5. Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
  6. Richard B. Freeman & Ronald Schettkat, 2005. "Marketization of household production and the EU-US gap in work," Economic Policy, CEPR & CES & MSH, vol. 20(41), pages 6-50, 01.
  7. Gourieroux Christian & Monfort Alain & Trognon A, 1981. "Pseudo maximum likelihood methods : theory," CEPREMAP Working Papers (Couverture Orange) 8129, CEPREMAP.
  8. John Mullahy & Stephanie A. Robert, 2008. "No Time to Lose? Time Constraints and Physical Activity," NBER Working Papers 14513, National Bureau of Economic Research, Inc.
  9. Lari Arthur Viianto, 2010. "The effects of the tax system on education decisions and welfare," Working Papers. Serie AD 2010-11, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  10. Sonia Oreffice & Climent Quintana, 2009. "Anthropometry and Socioeconomics in the Couple: Evidence from the PSID," Working Papers 2009-22, FEDEA.
  11. Gershuny, Jonathan, 2000. "Changing Times: Work and Leisure in Postindustrial Society," OUP Catalogue, Oxford University Press, number 9780198287872.
  12. Diansheng Dong & Brian W. Gould & Harry M. Kaiser, 2004. "Food Demand in Mexico: An Application of the Amemiya-Tobin Approach to the Estimation of a Censored Food System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1094-1107.
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