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Testing Happiness Hypothesis among the Elderly

  • Alejandro Cid

    ()

  • Daniel Ferrés

    ()

  • Máximo Rossi

    ()

Se emplea un amplio conjunto de datos que permite evaluar de diferentes formas la hipótesis de la felicidad, empleando cuatro enfoques metodológicos. Se constata que las personas de mayor edad en Uruguay tienen una tendencia a reconocerse felices cuando están casadas, cuando tienen un buen estado de salud y si tienen altos ingresos monetarios o estiman que su ingreso es conveniente para su nivel de vida. Contrariamente, señalan niveles más bajos de felicidad cuando viven solos o cuando sunutrición es insuficiente. Se evidencia que la educación no tiene un impacto claro sobre su percepción de felicidad. Este trabajo es una contribución al estudio de los factores que pueden explicar la felicidad entre las personas de la tercera edad en los países de América Latina. El trabajo futuro seconcentrará sobre un análisis empírico mejorado y sobre la expansión del estudio a otros países.

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File URL: http://www.fce.unal.edu.co/media/files/documentos/Cuadernos/48/v27n48_cid_2008.pdf
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Article provided by UN - RCE - CID in its journal REVISTA CUADERNOS DE ECONOMÍA.

Volume (Year): (2008)
Issue (Month): ()
Pages:

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Handle: RePEc:col:000093:004836
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  1. Alberto Alesina & Rafael Di Tella & Robert MacCulloch, 2001. "Inequality and Happiness: Are Europeans and Americans Different?," Harvard Institute of Economic Research Working Papers 1938, Harvard - Institute of Economic Research.
  2. Edwin Leuven & Barbara Sianesi, 2003. "PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing," Statistical Software Components S432001, Boston College Department of Economics, revised 19 Jan 2015.
  3. Clark, Andrew E & Oswald, Andrew J, 1994. "Unhappiness and Unemployment," Economic Journal, Royal Economic Society, vol. 104(424), pages 648-59, May.
  4. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
  5. Gerdtham, Ulf-G & Johannesson, Magnus, 2001. "The relationship between happiness, health, and socio-economic factors: results based on Swedish microdata," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 30(6), pages 553-557.
  6. Bruno S. Frey & Alois Stutzer, . "What can Economists Learn from Happiness Research?," IEW - Working Papers 080, Institute for Empirical Research in Economics - University of Zurich.
  7. Honore, Bo E. & Powell, James L., 1994. "Pairwise difference estimators of censored and truncated regression models," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 241-278.
  8. Kenneth Y. Chay & James L. Powell, 2001. "Semiparametric Censored Regression Models," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 29-42, Fall.
  9. David G. Blanchflower & Andrew J. Oswald, 2000. "Well-Being Over Time in Britain and the USA," NBER Working Papers 7487, National Bureau of Economic Research, Inc.
  10. Powell, James L, 1986. "Symmetrically Trimmed Least Squares Estimation for Tobit Models," Econometrica, Econometric Society, vol. 54(6), pages 1435-60, November.
  11. Barbara Sianesi, 2001. "Propensity score matching," United Kingdom Stata Users' Group Meetings 2001 12, Stata Users Group, revised 23 Aug 2001.
  12. repec:cup:cbooks:9780521848053 is not listed on IDEAS
  13. Bruno S. Frey & Alois Stutzer, . "Testing Theories of Happiness," IEW - Working Papers 147, Institute for Empirical Research in Economics - University of Zurich.
  14. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
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