IDEAS home Printed from https://ideas.repec.org/p/mit/sloanp/2055.html

Omitted variable bias and cross section regression

Author

Listed:
  • Stoker, Thomas M.

Abstract

No abstract is available for this item.

Suggested Citation

  • Stoker, Thomas M., 1983. "Omitted variable bias and cross section regression," Working papers 1460-83., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    • Handle: RePEc:mit:sloanp:2055
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/1721.1/2055
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stoker, Thomas M., 1983. "Aggregation, efficiency and cross section regression," Working papers 1453-83., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Zvi Griliches, 1957. "Specification Bias in Estimates of Production Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 39(1), pages 8-20.
    3. Stoker, Thomas M., 1982. "Completeness, distribution restrictions and the form of aggregate functions," Working papers 1345-82., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stoker, Thomas M., 1983. "Aggregation, efficiency and cross section regression," Working papers 1453-83., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Stoker, Thomas M., 1983. "Aggregation, structural change and cross section estimation," Working papers 1485-83., Massachusetts Institute of Technology (MIT), Sloan School of Management.

    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. Bill Greene with Antonio Alvarez (Univ. of Oviedo) & Carlos Arias (Univ. of Leon), 2004. "Accounting For Unobservables In Production Models: Management And Inefficiency," Econometric Society 2004 Australasian Meetings 341, Econometric Society.
    2. Martin, Sheila Ann, 1992. "The effectiveness of state technology incentives: evidence from the machine tool industry," ISU General Staff Papers 1992010108000011381, Iowa State University, Department of Economics.
    3. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
    4. Bravo-Ureta, Boris E. & Rieger, Laszlo & Quiroga, Ricardo E., "undated". "Fixed Effects and Stochastic Frontier Estimates of Firm-Level Technical Efficiency," 1990 Annual meeting, August 5-8, Vancouver, Canada 270867, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Vojislav Maksimovic & Gordon Phillips, 2002. "Do Conglomerate Firms Allocate Resources Inefficiently Across Industries? Theory and Evidence," Journal of Finance, American Finance Association, vol. 57(2), pages 721-767, April.
    6. Millan, Joaquin, 2004. "Scale and the Efficiency Production Function," Efficiency Series Papers 2004/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    7. Adriaan Kalwij, 2000. "Estimating the economic return to schooling on the basis of panel data," Applied Economics, Taylor & Francis Journals, vol. 32(1), pages 61-71.
    8. Georgeta Vidican-Sgouridis & Annette Kim, 2008. "From Workers to Owners: Survey Evidence on the Impact of Property Rights Reforms on Small Farmers in Two Regions in Romania," William Davidson Institute Working Papers Series wp905, William Davidson Institute at the University of Michigan.
    9. Judith K. Hellerstein & David Neumark, 2007. "Production Function and Wage Equation Estimation with Heterogeneous Labor: Evidence from a New Matched Employer-Employee Data Set," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 31-71, National Bureau of Economic Research, Inc.
    10. Bullock, David S. & Lowenberg-DeBoer, Jess & Swinton, Scott M., 2002. "Adding value to spatially managed inputs by understanding site-specific yield response," Agricultural Economics, Blackwell, vol. 27(3), pages 233-245, November.
    11. Doan, Tinh & Nguyen, Ha, 2013. "Productivity dispersion and the roles of quality of labour input and competition: A case of Vietnamese manufacturing sector," MPRA Paper 48357, University Library of Munich, Germany.
    12. Julien, Jacques C. & Bravo-Ureta, Boris E. & Rada, Nicholas E., 2019. "Assessing farm performance by size in Malawi, Tanzania, and Uganda," Food Policy, Elsevier, vol. 84(C), pages 153-164.
    13. Bravo-Ureta, Boris E., 1985. "Estimates Of Cobb-Douglas And Translog Production Functions For Milk," 1985 Annual Meeting, August 4-7, Ames, Iowa 278514, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Day, Richard H. & Sparling, Edward & Woodworth, Roger C., 1977. "PART II. Economic Optimization in Agricultural and Resource Economics," AAEA Monographs, Agricultural and Applied Economics Association, number 337222.
    15. Yana Gallen, 2024. "Motherhood and the Gender Productivity Gap," Journal of the European Economic Association, European Economic Association, vol. 22(3), pages 1055-1096.
    16. del Corral, Julio & Álvarez, Antonio, 2004. "The Estimation of Different Technologies using a Latent Class Model," Efficiency Series Papers 2004/07, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    17. Duo Qin, 2010. "Modelling of the Inflation-Unemployment Tradeoff from the Perspective of the History of Econometrics," Working Papers 661, Queen Mary University of London, School of Economics and Finance.
    18. Sauer, J. & Morrison-Paul, C., . "Technologies and Localized Technical Change," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 46.
    19. Alvarez, Antonio & del Corral, Julio, 2006. "Modeling Regional Heterogeneity with Panel Data: Application to Spanish Provinces," Efficiency Series Papers 2006/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    20. Calcagnini, Giorgio & Marin, Giovanni & Perugini, Francesco, 2021. "Labour flexibility, internal migration and productivity in Italian regions," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 308-320.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    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:mit:sloanp:2055. 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: None The email address of this maintainer does not seem to be valid anymore. Please ask None to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/ssmitus.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.