(This abstract was borrowed from another version of this item.)"> (This abstract was borrowed from another version of this item.)">
Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/ste/nystbu/10-04.html
   My bibliography  Save this paper

Fixed Effects Vector Decomposition: A Magical Solution to the Problem of Time Invariant Variables in Fixed Effects Models?

Author

Listed:
  • William Greene
Abstract
Plümper and Troeger (2007) propose a three-step procedure for the estimation of a fixed effects (FE) model that, it is claimed, “provides the most reliable estimates under a wide variety of specifications common to real world data.” Their fixed effects vector decomposition (FEVD) estimator is startlingly simple, involving three simple steps, each requiring nothing more than ordinary least squares (OLS). Large gains in efficiency are claimed for cases of time-invariant and slowly time-varying regressors. A subsequent literature has compared the estimator to other estimators of FE models, including the estimator of Hausman and Taylor (1981) also (apparently) with impressive gains in efficiency. The article also claims to provide an efficient estimator for parameters on time-invariant variables (TIVs) in the FE model. None of the claims are correct. The FEVD estimator simply reproduces (identically) the linear FE (dummy variable) estimator then substitutes an inappropriate covariance matrix for the correct one. The consistency result follows from the fact that OLS in the FE model is consistent. The “efficiency” gains are illusory. The claim that the estimator provides an estimator for the coefficients on TIVs in an FE model is also incorrect. That part of the parameter vector remains unidentified. The “estimator” relies upon a strong assumption that turns the FE model into a type of random effects model.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • William Greene, 2010. "Fixed Effects Vector Decomposition: A Magical Solution to the Problem of Time Invariant Variables in Fixed Effects Models?," Working Papers 10-04, New York University, Leonard N. Stern School of Business, Department of Economics.
    • Handle: RePEc:ste:nystbu:10-04
    as

    Download full text from publisher

    File URL: http://w4.stern.nyu.edu/economics/docs/workingpapers/2010/Greene_Comment-FixedEffects.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    2. Saxonhouse, Gary R, 1976. "Estimated Parameters as Dependent Variables," American Economic Review, American Economic Association, vol. 66(1), pages 178-183, March.
    3. Cornwell, Christopher & Rupert, Peter, 1988. "Efficient Estimation with Panel Data: An Empirical Comparison of Instrumental Variables Estimators," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 3(2), pages 149-155, April.
    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. Boumahdi, Rachid & Thomas, Alban, 2006. "Instrument relevance and efficient estimation with panel data," Economics Letters, Elsevier, vol. 93(2), pages 305-310, November.
    2. Marcelo José Braga Nonnenberg & Mário Jorge Cardoso de Mendonça, 2004. "Determinantes dos Investimentos Diretos Externos em Países em Desenvolvimento," Discussion Papers 1016, Instituto de Pesquisa Econômica Aplicada - IPEA.
    3. Béatrice D'HOMBRES & Jean-Louis ARCAND, 2006. "Testing for Separation in Agricultural Household Models and Unobservable Household-Specific Effects," Working Papers 200632, CERDI.
    4. Baltagi, Badi H., 2023. "The two-way Hausman and Taylor estimator," Economics Letters, Elsevier, vol. 228(C).
    5. Eduardo Fé, 2012. "Instrumental variable estimation of heteroskedasticity adaptive error component models," Statistical Papers, Springer, vol. 53(3), pages 577-615, August.
    6. Eduardo Fé Rodríguez, 2009. "Adaptive Instrumental Variable Estimation of Heteroskedastic Error Component Models," Economics Discussion Paper Series 0921, Economics, The University of Manchester.
    7. Liang Zhao & Joyce P. Jacobsen, 2006. "Revisiting The Bell Curve Debate Regarding the Effects of Cognitive Ability on Wages," Wesleyan Economics Working Papers 2006-026, Wesleyan University, Department of Economics.
    8. Ahn, Seung C. & Lee, Young H. & Schmidt, Peter, 2013. "Panel data models with multiple time-varying individual effects," Journal of Econometrics, Elsevier, vol. 174(1), pages 1-14.
    9. Jon Nelson & Peter Kennedy, 2009. "The Use (and Abuse) of Meta-Analysis in Environmental and Natural Resource Economics: An Assessment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 345-377, March.
    10. repec:jss:jstsof:27:i02 is not listed on IDEAS
    11. Alderman, Harold & Garcia, Marito, 1992. "Food security and health security : explaining the levels of nutrition in Pakistan," Policy Research Working Paper Series 865, The World Bank.
    12. Alderman, Harold & Garcia, Marito, 1993. "Poverty, household food security, and nutrition in rural Pakistan:," Research reports 96, International Food Policy Research Institute (IFPRI).
    13. Ahn, Seung C. & Low, Stuart, 1996. "A reformulation of the Hausman test for regression models with pooled cross-section-time-series data," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 309-319.
    14. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    15. Derek Hum & Wayne Simpson, 2002. "Analysis of the Performance of Immigrant Wages Using Panel Data," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C2-1, International Conferences on Panel Data.
    16. R. Martinez-Espiñeira, 2002. "Residential Water Demand in the Northwest of Spain," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 21(2), pages 161-187, February.
    17. Fabienne Berton & Jean-Pierre HUIBAN & Frédérique Nortier, 2011. "Les carrières salariales des hommes et des femmes : quelle convergence sur longue période ?," Travail et Emploi, La DARES, vol. 0(1), pages 9-25.
    18. Baltagi, Badi H. & Liu, Long, 2012. "The Hausman–Taylor panel data model with serial correlation," Statistics & Probability Letters, Elsevier, vol. 82(7), pages 1401-1406.
    19. de Mendonca, Mario Jorge Cardoso & Vera Diaz, Maria del Carmen & Nepstad, Daniel & Seroa da Motta, Ronaldo & Alencar, Ane & Gomes, Joao Carlos & Ortiz, Ramon Arigoni, 2004. "The economic cost of the use of fire in the Amazon," Ecological Economics, Elsevier, vol. 49(1), pages 89-105, May.
    20. Mosfequs Salehin & Robert Breunig, 2012. "The immigrant wage gap and assimilation in Australia: the impact of unobserved heterogeneity," CEPR Discussion Papers 661, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    21. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2014. "Robust linear static panel data models using epsilon-contamination," MPRA Paper 59896, University Library of Munich, Germany.

    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:ste:nystbu:10-04. 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: Amanda Murphy (email available below). General contact details of provider: https://edirc.repec.org/data/ednyuus.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.