IDEAS home Printed from https://ideas.repec.org/p/cte/wsrepe/3953.html
   My bibliography  Save this paper

Semiparametric testing of non-nested models: an application to Engel Curves specification

Author

Listed:
  • Mora, Juan

Abstract

This paper proposes a specification test for non-nested semiparametrically specified competing models. The test-statistic is based on an artificial regression procedure. We derive the asymptotic distribution of the test-statistic under the null and alternative hypotheses and the finite-sample properties of the test are studied by means of simulations. The test is applied to discriminate between alternative Engel Curve specifications in share form, which relate total expenditure (X) with percentage of total expenditure spent on a specific good (Y). With data from the 1980 Spanish Family Expenditure Survey, one of the considered forms explains adequately the behaviour of households not contained on the tails of the distribution of X; when the whole data set is used both specifications are rejected possibly due to the fact that seemingly there is not mean dependence between Y and X for households with high total expenditure.

Suggested Citation

  • Mora, Juan, 1994. "Semiparametric testing of non-nested models: an application to Engel Curves specification," DES - Working Papers. Statistics and Econometrics. WS 3953, Universidad Carlos III de Madrid. Departamento de Estadística.
  • Handle: RePEc:cte:wsrepe:3953
    as

    Download full text from publisher

    File URL: https://e-archivo.uc3m.es/bitstream/handle/10016/3953/ws943011.pdf?sequence=1
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Davidson, Russell & MacKinnon, James G, 1981. "Several Tests for Model Specification in the Presence of Alternative Hypotheses," Econometrica, Econometric Society, vol. 49(3), pages 781-793, May.
    2. Delgado, Miguel A & Mora, Juan, 1995. "Nonparametric and Semiparametric Estimation with Discrete Regressors," Econometrica, Econometric Society, vol. 63(6), pages 1477-1484, November.
    3. Deaton, Angus S & Ruiz-Castillo, Javier & Thomas, Duncan, 1989. "The Influence of Household Composition on Household Expenditure Patterns: Theory and Spanish Evidence," Journal of Political Economy, University of Chicago Press, vol. 97(1), pages 179-200, February.
    4. Fisher, Gordon R., 1983. "Tests for two separate regressions," Journal of Econometrics, Elsevier, vol. 21(1), pages 117-132, January.
    5. Miguel A. Delgado & Thanasis Stengos, 1994. "Semiparametric Specification Testing of Non-nested Econometric Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(2), pages 291-303.
    6. Pollak, Robert A & Wales, Terence J, 1978. "Estimation of Complete Demand Systems from Household Budget Data: The Linear and Quadratic Expenditure Systems," American Economic Review, American Economic Association, vol. 68(3), pages 348-359, June.
    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. repec:rri:wpaper:201303 is not listed on IDEAS
    2. Gozalo, Pedro L., 1997. "Nonparametric bootstrap analysis with applications to demographic effects in demand functions," Journal of Econometrics, Elsevier, vol. 81(2), pages 357-393, December.
    3. Bernard Fingleton & Silvia Palombi, 2016. "Bootstrap J -Test for Panel Data Models with Spatially Dependent Error Components, a Spatial Lag and Additional Endogenous Variables," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(1), pages 7-26, March.
    4. Miguel A. Delgado & Juan Mora, 1995. "On asymptotic inferences in non-parametric and semiparametric models with discrete and mixed regressors," Investigaciones Economicas, Fundación SEPI, vol. 19(3), pages 435-467, September.
    5. Harry H. Kelejian & Gianfranco Piras, 2013. "A J-Test for Panel Models with Fixed Effects, Spatial and Time," Working Papers Working Paper 2013-03, Regional Research Institute, West Virginia University.
    6. Krishna Pendakur, 2005. "Semiparametric estimation of lifetime equivalence scales," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 487-507, May.
    7. James G. MacKinnon & Russell Davidson, 1999. "Artificial Regressions," Working Paper 978, Economics Department, Queen's University.
    8. Dastoor, Naorayex K. & Fisher, Gordon, 1988. "On Point-Optimal Cox Tests," Econometric Theory, Cambridge University Press, vol. 4(1), pages 97-107, April.
    9. Michelis, Leo, 1999. "The distributions of the J and Cox non-nested tests in regression models with weakly correlated regressors," Journal of Econometrics, Elsevier, vol. 93(2), pages 369-401, December.
    10. Li, Qi & Stengos, Thanasis, 1995. "A semi-parametric non-nested test in a dynamic panel data model," Economics Letters, Elsevier, vol. 49(1), pages 1-6, July.
    11. Ellison, Glenn & Ellison, Sara Fisher, 2000. "A simple framework for nonparametric specification testing," Journal of Econometrics, Elsevier, vol. 96(1), pages 1-23, May.
    12. Harry H. Kelejian & Gianfranco Piras, 2016. "A J test for dynamic panel model with fixed effects, and nonparametric spatial and time dependence," Empirical Economics, Springer, vol. 51(4), pages 1581-1605, December.
    13. Yanqin Fan & Qi Li, 1995. "Bootstrapping J-type tests for non-nested regression models," Economics Letters, Elsevier, vol. 48(2), pages 107-112, May.
    14. Luc Anselin, 1988. "Model Validation in Spatial Econometrics: A Review and Evaluation of Alternative Approaches," International Regional Science Review, , vol. 11(3), pages 279-316, December.
    15. Delgado, Miguel A. & Li, Qi & Stengos, Thanasis, 1994. "Non-parametric specification testing of non-nested econometric models," DES - Working Papers. Statistics and Econometrics. WS 3961, Universidad Carlos III de Madrid. Departamento de Estadística.
    16. Kelejian, Harry H. & Piras, Gianfranco, 2011. "An extension of Kelejian's J-test for non-nested spatial models," Regional Science and Urban Economics, Elsevier, vol. 41(3), pages 281-292, May.
    17. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    18. Maria-Isabel Ayuda & Antonio Aznar, 2000. "Power in non-nested models: a comparative study," Applied Economics Letters, Taylor & Francis Journals, vol. 7(7), pages 483-486.
    19. Venkatesh Shankar & Pablo Azar & Matthew Fuller, 2008. "—: A Multicategory Brand Equity Model and Its Application at Allstate," Marketing Science, INFORMS, vol. 27(4), pages 567-584, 07-08.
    20. Héctor Manuel Zárate S., 2005. "Cambios en la estructura salarial: una historia desde la regresión cuanfílica," Monetaria, CEMLA, vol. 0(4), pages 339-364, octubre-d.
    21. Miyoshi, Koyo, 2008. "Male-female wage differentials in Japan," Japan and the World Economy, Elsevier, vol. 20(4), pages 479-496, December.

    More about this item

    Keywords

    Non-nested tests;

    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:cte:wsrepe:3953. 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: Ana Poveda (email available below). General contact details of provider: http://portal.uc3m.es/portal/page/portal/dpto_estadistica .

    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.