IDEAS home Printed from https://ideas.repec.org/a/ags/sojoae/29288.html
   My bibliography  Save this article

A Production Function For Florida Foliage Nurseries From Time-Series And Cross-Section Data

Author

Listed:
  • Gunter, Dan L.
  • Emerson, Robert D.

Abstract

No abstract is available for this item.

Suggested Citation

  • Gunter, Dan L. & Emerson, Robert D., 1977. "A Production Function For Florida Foliage Nurseries From Time-Series And Cross-Section Data," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 9(1), pages 1-6, July.
    • Handle: RePEc:ags:sojoae:29288
    DOI: 10.22004/ag.econ.29288
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/29288/files/09010151.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.29288?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Maddala, G S, 1971. "The Use of Variance Components Models in Pooling Cross Section and Time Series Data," Econometrica, Econometric Society, vol. 39(2), pages 341-358, March.
    2. Swamy, P A V B, 1970. "Efficient Inference in a Random Coefficient Regression Model," Econometrica, Econometric Society, vol. 38(2), pages 311-323, March.
    3. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    4. Yair Mundlak, 1961. "Empirical Production Function Free of Management Bias," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 43(1), pages 44-56.
    5. Lu, Yao-Chi, 1975. "Measuring Productivity Change In U.S. Agriculture," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 7(2), pages 1-7, December.
    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. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    2. Joshua D. Angrist & Jinyong Hahn, 1999. "When to Control for Covariates? Panel-Asymptotic Results for Estimates of Treatment Effects," NBER Technical Working Papers 0241, National Bureau of Economic Research, Inc.
    3. Silvio R. Rendon, 2013. "Fixed and Random Effects in Classical and Bayesian Regression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(3), pages 460-476, June.
    4. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    5. Petzold, Max & Jonsson, Robert, 2003. "Maximum Likelihood Ratio based small-sample tests for random coefficients in linear regression," Working Papers in Economics 102, University of Gothenburg, Department of Economics.
    6. François-Charles Wolff & Dale Squires & Patrice Guillotreau, 2013. "The Firm's Management in Production: Management, Firm, and Time Effects in an Indian Ocean Tuna Fishery," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(3), pages 547-567.
    7. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    8. Antonio Ruiz Porras, 2016. "La investigación econométrica mediante paneles de datos:historia, modelos y usos en México," Archivos Revista Economía y Política., Facultad de Ciencias Económicas y Administrativas, Universidad de Cuenca., vol. 24, pages 11-32, Julio.
    9. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    10. 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.
    11. Metcalf, Gilbert E., 1996. "Specification testing in panel data with instrumental variables," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 291-307.
    12. Mazzocco, Michael A. & Eales, James S., 1987. "Estimating Factor Demands for Iltinois Cash Grain Farms: Differences Between Profitable and Unprofitable Farms," 1987 Annual Meeting, August 2-5, East Lansing, Michigan 269945, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Fernández-Val, Iván & Gao, Wayne Yuan & Liao, Yuan & Vella, Francis, 2022. "Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes," IZA Discussion Papers 15236, Institute of Labor Economics (IZA).
    14. Ahmad, Munir & Boris E., Bravo-Ureta, 1996. "Technical efficiency measures for dairy farms using panel data: a comparison of alternative model specifications," MPRA Paper 37703, University Library of Munich, Germany.
    15. Iñaki Mauleón, 1987. "Problemas prácticos en el tratamiento econométrico de datos "cross-section"," Investigaciones Economicas, Fundación SEPI, vol. 11(1), pages 41-94, January.
    16. Munir Ahmad & Azkar Ahmad, 1998. "An Analysis of the Sources of Wheat Output Growth in the Barani Area of the Punjab," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 37(3), pages 231-249.
    17. repec:jss:jstsof:27:i02 is not listed on IDEAS
    18. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    19. Nikolaev, V. & van Lent, L.A.G.M., 2005. "The Endogeneity Bias in the Relation Between Cost-of-Debt Capital and Corporate Disclosure Policy," Discussion Paper 2005-67, Tilburg University, Center for Economic Research.
    20. Saïd Hanchane & Tarek Mostafa, 2012. "Solving endogeneity problems in multilevel estimation: an example using education production functions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(5), pages 1101-1114, November.
    21. Chen, Tsung-Kang & Liao, Hsien-Hsing & Chen, Wei-Lun, 2014. "Production efficiency uncertainty and corporate credit risk: Structural form credit model perspectives," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 266-280.

    More about this item

    Keywords

    Crop Production/Industries;

    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:ags:sojoae:29288. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.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.