IDEAS home Printed from https://ideas.repec.org/p/wop/stanec/02009.html
   My bibliography  Save this paper

Distangling Age, Cohort and Time Effects in the Additive Model

Author

Listed:
  • David McKenzie

Abstract

July 2002 This paper presents a new approach to the old problem of linear dependency of age, cohort and time effects. It is shown that second differences of the effects can be estimated without any normalization restrictions, providing information on the shape of the age, cohort and time effect profiles, and enabling identification of structural breaks. A Wald test is provided to test the popular linear and quadratic specifications against a very general alternative. First differenced and level effects can then be consistently estimated with a small number of additional normalizing assumptions. Moreover, it is demonstrated that coefficients on additional exogenous regressors can be consistently estimated in this framework without the need for normalizing assumptions. Working Papers Index

Suggested Citation

  • David McKenzie, 2002. "Distangling Age, Cohort and Time Effects in the Additive Model," Working Papers 02009, Stanford University, Department of Economics.
    • Handle: RePEc:wop:stanec:02009
    as

    Download full text from publisher

    File URL: http://www-econ.stanford.edu/faculty/workp/swp02009.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. David J. McKenzie, 2001. "The Household Response to the Mexican Peso Crisis," Working Papers 01017, Stanford University, Department of Economics.
    2. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    3. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    4. David J. McKenzie, 2006. "Disentangling Age, Cohort and Time Effects in the Additive Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(4), pages 473-495, August.
    5. James Heckman & Edward Vytlacil, 2001. "Identifying The Role Of Cognitive Ability In Explaining The Level Of And Change In The Return To Schooling," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 1-12, February.
    6. Verbeek, Marno & Nijman, Theo, 1993. "Minimum MSE estimation of a regression model with fixed effects from a series of cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 125-136, September.
    7. Deaton, Angus & Paxson, Christina, 1994. "Intertemporal Choice and Inequality," Journal of Political Economy, University of Chicago Press, vol. 102(3), pages 437-467, June.
    8. Orazio P. Attanasio, 1998. "Cohort Analysis of Saving Behavior by U.S. Households," Journal of Human Resources, University of Wisconsin Press, vol. 33(3), pages 575-609.
    9. Tullio Jappelli, 1999. "The Age‐Wealth Profile And The Life‐Cycle Hypothesis: A Cohort Analysis With A Time Series Of Cross‐Sections Of Italian Households," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 45(1), pages 57-75, March.
    10. Dolores Collado, M., 1997. "Estimating dynamic models from time series of independent cross-sections," Journal of Econometrics, Elsevier, vol. 82(1), pages 37-62.
    11. Denton, Frank T & Mountain, Dean C & Spencer, Byron G, 1999. "Age, Trend, and Cohort Effects in a Macro Model of Canadian Expenditure Patterns," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 430-443, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. David Aristei & Federico Perali & Luca Pieroni, 2008. "Cohort, age and time effects in alcohol consumption by Italian households: a double-hurdle approach," Empirical Economics, Springer, vol. 35(1), pages 29-61, August.
    2. Van Landeghem, Bert, 2012. "A test for the convexity of human well-being over the life cycle: Longitudinal evidence from a 20-year panel," Journal of Economic Behavior & Organization, Elsevier, vol. 81(2), pages 571-582.
    3. Arpita Chatterjee & Aarti Singh & Tahlee Stone, 2016. "Understanding Wage Inequality in Australia," The Economic Record, The Economic Society of Australia, vol. 92(298), pages 348-360, September.
    4. Luca Pieroni & David Aristei, 2006. "Regional Differences in Growth Rates: A Microdata Approach," ERSA conference papers ersa06p799, European Regional Science Association.
    5. Bardazzi, Rossella & Pazienza, Maria Grazia, 2017. "Switch off the light, please! Energy use, aging population and consumption habits," Energy Economics, Elsevier, vol. 65(C), pages 161-171.
    6. Kevin X.D. Huang & Zheng Liu, 2005. "Temptation and Self-Control: Some Evidence from the Consumer Expenditure Survey," 2005 Meeting Papers 770, Society for Economic Dynamics.
    7. Xavier D'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear Difference-in-Differences in Repeated Cross Sections with Continuous Treatments," Boston College Working Papers in Economics 839, Boston College Department of Economics.
    8. Mora, Jhon James & Muro, Juan, 2014. "Consistent estimation in pseudo panels in the presence of selection bias," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-25.
    9. Balcazar Salazar,Carlos Felipe, 2015. "Long-run effects of democracy on income inequality : evidence from repeated cross-sections," Policy Research Working Paper Series 7153, The World Bank.
    10. Päivi Kankaanranta, 2019. "A Cohort-Analysis of Age-Wealth Profile in Finland," Discussion Papers 130, Aboa Centre for Economics.
    11. Tiziana Laureti, 2014. "Life satisfaction and environmental conditions in Italy: a pseudo-panel approach," Discussion Papers 2014/192, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    12. John K Gibson & Grant M Scobie, 2001. "Household Saving Behaviour in New Zealand: A Cohort Analysis," Treasury Working Paper Series 01/18, New Zealand Treasury.
    13. Kapteyn, Arie & Alessie, Rob & Lusardi, Annamaria, 2005. "Explaining the wealth holdings of different cohorts: Productivity growth and Social Security," European Economic Review, Elsevier, vol. 49(5), pages 1361-1391, July.
    14. Devereux, Paul J., 2007. "Improved Errors-in-Variables Estimators for Grouped Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 278-287, July.
    15. G. C. Lim & Q. Zeng, 2016. "Consumption, Income, and Wealth: Evidence from Age, Cohort, and Period Elasticities," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(3), pages 489-508, September.
    16. Jesus Fernández-Villaverde & Dirk Krueger, 2007. "Consumption over the Life Cycle: Facts from Consumer Expenditure Survey Data," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 552-565, August.
    17. Hai‐Anh H. Dang & Peter F. Lanjouw, 2023. "Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross Sections," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 599-622, June.
    18. Inoue, Atsushi, 2008. "Efficient estimation and inference in linear pseudo-panel data models," Journal of Econometrics, Elsevier, vol. 142(1), pages 449-466, January.
    19. Shin-Ichi Nishiyama, 2011. "The Cross-Euler Equation Approach to testing for the Liquidity Constraint: Evidence from Macro and Micro Data," TERG Discussion Papers 273, Graduate School of Economics and Management, Tohoku University.
    20. Wouter Nientker & Rob Alessie, 2019. "Female Labor Market Participation Across Cohorts: Evidence from the Netherlands," De Economist, Springer, vol. 167(4), pages 407-433, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wop:stanec:02009. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thomas Krichel (email available below). General contact details of provider: https://edirc.repec.org/data/destaus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.