IDEAS home Printed from https://ideas.repec.org/p/tsa/wpaper/0091eco.html
   My bibliography  Save this paper

Boundary Distributions in Testing Inequality Hypotheses

Author

Listed:
  • Fathali Firoozi

    (University of Texas at San Antonio)

Abstract

Testing inequality hypotheses in econometric models has posed a challenge in terms of identifying an applicable null distribution. This study demonstrates an asymptotic boundary null distribution for testing inequalities and discusses some of the trade o¤s in terms of test errors.

Suggested Citation

  • Fathali Firoozi, 2008. "Boundary Distributions in Testing Inequality Hypotheses," Working Papers 0046, College of Business, University of Texas at San Antonio.
    • Handle: RePEc:tsa:wpaper:0091eco
    as

    Download full text from publisher

    File URL: http://interim.business.utsa.edu/wps/eco/0046ECO-085-2008.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gourieroux, Christian & Holly, Alberto & Monfort, Alain, 1982. "Likelihood Ratio Test, Wald Test, and Kuhn-Tucker Test in Linear Models with Inequality Constraints on the Regression Parameters," Econometrica, Econometric Society, vol. 50(1), pages 63-80, January.
    2. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    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. Martin Carree & Boris Lokshin & René Belderbos, 2011. "A note on testing for complementarity and substitutability in the case of multiple practices," Journal of Productivity Analysis, Springer, vol. 35(3), pages 263-269, June.
    2. Zand, Fardad & Van Beers, Cees & Van Leeuwen, George, 2011. "Information technology, organizational change and firm productivity: A panel study of complementarity effects and clustering patterns in Manufacturing and Services," MPRA Paper 46469, University Library of Munich, Germany.
    3. Abadir, Karim M. & Distaso, Walter, 2007. "Testing joint hypotheses when one of the alternatives is one-sided," Journal of Econometrics, Elsevier, vol. 140(2), pages 695-718, October.
    4. Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition and stratification," CeMMAP working papers 11/02, Institute for Fiscal Studies.
    5. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2015. "Frontier market transaction costs and diversification," Journal of Financial Markets, Elsevier, vol. 24(C), pages 1-24.
    6. Back, Kerry & Crotty, Kevin & Kazempour, Seyed Mohammad, 2022. "Validity, tightness, and forecasting power of risk premium bounds," Journal of Financial Economics, Elsevier, vol. 144(3), pages 732-760.
    7. Christian Gourieroux & Joann Jasiak, 2006. "A Degeneracy in the Analysis of Volatility and Covolatility Effects," Working Papers 2006-30, Center for Research in Economics and Statistics.
    8. Jing-zhi Huang & Zhaodong Zhong, 2013. "Time Variation in Diversification Benefits of Commodity, REITs, and TIPS," The Journal of Real Estate Finance and Economics, Springer, vol. 46(1), pages 152-192, January.
    9. Steven Stern & Elizabeth Merwin & Emily Hauenstein & Ivora Hinton & Virgina Rovnyak & Melvin Wilson & Ishan Williams & Irma Mahone, 2008. "The E¤ect of Rurality on Mental and Physical Health," Virginia Economics Online Papers 381, University of Virginia, Department of Economics.
    10. Lokshin, B. & Carree, M.A. & Belderbos, R.A., 2004. "Testing for complementarity and substitutability in case of multiple practices," Research Memorandum 002, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    11. Paul Karehnke & Frans de Roon, 2020. "Spanning Tests for Assets with Option-Like Payoffs: The Case of Hedge Funds," Management Science, INFORMS, vol. 66(12), pages 5969-5989, December.
    12. Demos, Antonis & Sentana, Enrique, 1998. "Testing for GARCH effects: a one-sided approach," Journal of Econometrics, Elsevier, vol. 86(1), pages 97-127, June.
    13. Jesper Bagger & Javier A Birchenall & Hani Mansour & Sergio Urzúa, 2021. "Education, Birth Order and Family Size [Family size and children’s education in Vietnam]," The Economic Journal, Royal Economic Society, vol. 131(633), pages 33-69.
    14. Bram Thuysbaert, 2008. "Inference for the measurement of poverty in the presence of a stochastic weighting variable," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(1), pages 33-55, March.
    15. Rosen, Adam M., 2008. "Confidence sets for partially identified parameters that satisfy a finite number of moment inequalities," Journal of Econometrics, Elsevier, vol. 146(1), pages 107-117, September.
    16. Cheol S. Eun & Sandy Lai & Frans A. de Roon & Zhe Zhang, 2010. "International Diversification with Factor Funds," Management Science, INFORMS, vol. 56(9), pages 1500-1518, September.
    17. Ping, Wu & King, Maxwell L., 1996. "Small-sample power of tests for inequality restrictions: The case of quarter-dependent regression errors," Economics Letters, Elsevier, vol. 52(2), pages 121-127, August.
    18. David M. Kaplan & Longhao Zhuo, 2015. "Bayesian and frequentist inequality tests," Working Papers 1516, Department of Economics, University of Missouri, revised Feb 2018.
    19. Resende, Marcelo & Strube, Eduardo & Zeidan, Rodrigo, 2014. "Complementarity of innovation policies in Brazilian industry: An econometric study," International Journal of Production Economics, Elsevier, vol. 158(C), pages 9-17.
    20. Schorfheide, Frank & Moon, Hyungsik Roger, 2006. "Boosting Your Instruments: Estimation with Overidentifying Inequality Moment Conditions," CEPR Discussion Papers 5605, C.E.P.R. Discussion Papers.

    More about this item

    Keywords

    Boundry distributors; Inequality hypothesis;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

    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:tsa:wpaper:0091eco. 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: Wendy Frost (email available below). General contact details of provider: https://edirc.repec.org/data/cbutsus.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.