IDEAS home Printed from https://ideas.repec.org/p/ags/eaae11/114386.html
   My bibliography  Save this paper

Endogeneity of Acreage Choices in Input Allocation Equation: Implied Problems and a Solution

Author

Listed:
  • Carpentier, Alain
  • Letort, Elodie

Abstract

Standard farm-level data used for crop choice modelling are farm accountancy data providing detailed data with respect to production (crop areas and production) but only providing variable input use (pesticides, fertilizers, …) data at the farm level. Allocation of variable input uses to crops appears useful for several reasons: it is necessary to compute gross margins at the crop level and may be used to investigate the empirical validity of multi-crop econometric models. The contribution of this research is threefold. First it shows that the standard regression based approaches for allocating variable input uses to crops are potentially biased due to the (partial) simultaneity of the (expected) crop variable input and acreage choices. Second, it proposes a econometric multi-crop model which is consistent with respect to its deterministic and random parts, for defining these biases and for providing potential solutions. Third, it proposes approaches to eliminate these biases. These approaches are based on the use of correction or control functions (Imbens and Wooldridge 2007; Wooldridge 2008).
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Carpentier, Alain & Letort, Elodie, 2011. "Endogeneity of Acreage Choices in Input Allocation Equation: Implied Problems and a Solution," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114386, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae11:114386
    DOI: 10.22004/ag.econ.114386
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/114386/files/Letort_Elodie_537.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.114386?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. James Heckman & Edward Vytlacil, 1998. "Instrumental Variables Methods for the Correlated Random Coefficient Model: Estimating the Average Rate of Return to Schooling When the Return is Correlated with Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 974-987.
    2. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    3. Robert H. Hornbaker & Bruce L. Dixon & Steven T. Sonka, 1989. "Estimating Production Activity Costs for Multioutput Firms with a Random Coefficient Regression Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(1), pages 167-177.
    4. Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 30(1), pages 27-50, March.
    5. Chamberlain, Gary, 1987. "Asymptotic efficiency in estimation with conditional moment restrictions," Journal of Econometrics, Elsevier, vol. 34(3), pages 305-334, March.
    6. Moore, Michael R. & Negri, Donald H., 1992. "A Multicrop Production Model Of Irrigated Agriculture, Applied To Water Allocation Policy Of The Bureau Of Reclamation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(1), pages 1-15, July.
    7. Lence, Sergio H & Miller, Douglas J, 1998. "Estimation of Multi-output Production Functions with Incomplete Data: A Generalised Maximum Entropy Approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 25(2), pages 188-209.
    8. Jeffrey M. Wooldridge, 2004. "Estimating average partial effects under conditional moment independence assumptions," CeMMAP working papers CWP03/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Alain Carpentier & Robert D. Weaver, 1996. "Intertemporal and Interfirm Heterogeneity: Implications for Pesticide Productivity," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 44(3), pages 219-236, November.
    10. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    11. Dixon, Bruce L & Batte, Marvin T & Sonka, Steven T, 1984. "Random Coefficients Estimation of Average Total Product Costs for Multiproduct Firms," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 360-366, October.
    12. Smith, Richard J & Blundell, Richard W, 1986. "An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply," Econometrica, Econometric Society, vol. 54(3), pages 679-685, May.
    13. Richard E. Just & David Zilberman & Eithan Hochman & Ziv Bar-Shira, 1990. "Input Allocation in Multicrop Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(1), pages 200-209.
    14. 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.
    15. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    16. John M. Antle & Stephen A. Hatchett, 1986. "Dynamic Input Decisions in Econometric Production Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(4), pages 939-949.
    17. Heckman, James J, 1974. "Shadow Prices, Market Wages, and Labor Supply," Econometrica, Econometric Society, vol. 42(4), pages 679-694, July.
    18. Rulon D. Pope & Richard E. Just, 2003. "Distinguishing Errors in Measurement from Errors in Optimization," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 348-358.
    19. John M. Antle, 1983. "Sequential Decision Making in Production Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(2), pages 282-290.
    20. Antle, John M., 1983. "Sequential Decision Making in Production Models," 1983 Annual Meeting, July 31-August 3, West Lafayette, Indiana 279107, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    21. McElroy, Marjorie B, 1987. "Additive General Error Models for Production, Cost, and Derived Demand or Share Systems," Journal of Political Economy, University of Chicago Press, vol. 95(4), pages 737-757, August.
    22. James Heckman & Justin L. Tobias & Edward Vytlacil, 2003. "Simple Estimators for Treatment Parameters in a Latent-Variable Framework," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 748-755, August.
    23. Wooldridge, Jeffrey M., 1996. "Estimating systems of equations with different instruments for different equations," Journal of Econometrics, Elsevier, vol. 74(2), pages 387-405, October.
    24. Reiss, Peter C. & Wolak, Frank A., 2007. "Structural Econometric Modeling: Rationales and Examples from Industrial Organization," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 64, Elsevier.
    25. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    26. Alain Carpentier & Robert D. Weaver, 1997. "Damage Control Productivity: Why Econometrics Matters," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 47-61.
    27. Rivers, Douglas & Vuong, Quang H., 1988. "Limited information estimators and exogeneity tests for simultaneous probit models," Journal of Econometrics, Elsevier, vol. 39(3), pages 347-366, November.
    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. Letort, Elodie & Carpentier, Alain, 2010. "Variable Input Allocation: Why Heterogeneity Matters?," 120th Seminar, September 2-4, 2010, Chania, Crete 109387, European Association of Agricultural Economists.
    2. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    3. van Soest, A.H.O., 1990. "Essays on micro-econometric models of consumer demand and the labour market," Other publications TiSEM be045d62-a73d-4d7c-a591-f, Tilburg University, School of Economics and Management.
    4. CARPENTIER, Alain & GOHIN, Alexandre & SCKOKAI, Paolo & THOMAS, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 96(1), March.
    5. Carpentier, Alain & Letort, Elodie, 2009. "Modeling acreage decisions within the multinomial Logit framework," Working Papers 211011, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    6. Shumway, C. Richard, 1995. "Recent Duality Contributions In Production Economics," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(1), pages 1-17, July.
    7. Niklas Möhring & Martina Bozzola & Stefan Hirsch & Robert Finger, 2020. "Are pesticides risk decreasing? The relevance of pesticide indicator choice in empirical analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 51(3), pages 429-444, May.
    8. Xiaodi Xie, 1997. "Children and female labour supply behaviour," Applied Economics, Taylor & Francis Journals, vol. 29(10), pages 1303-1310.
    9. Simoneti, Marko & Damijan, Joze P. & Rojec, Matija & Majcen, Boris, 2005. "Case-by-Case Versus mass privatization in transition economies: Initial owner and final seller effects on performance of firms in Slovenia," World Development, Elsevier, vol. 33(10), pages 1603-1625, October.
    10. Kapteyn, Arie & Kooreman, Peter & van Soest, Arthur, 1990. "Quantity Rationing and Concavity in a Flexible Household Labor Supply Model," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 55-62, February.
    11. Garbero, A. & Marion, P., 2018. "IFAD RESEARCH SERIES 28 - Understanding the dynamics of adoption decisions and their poverty impacts: the case of improved maize seeds in Uganda," IFAD Research Series 280077, International Fund for Agricultural Development (IFAD).
    12. Alexandre Gohin & Herve Guyomard & Fabrice Levert & . Ministère de L'Aménagement Du Territoire Et de L'Environnement, Direction Générale de L'Administration Et Du Développement, Paris (fra) & Francois, 2000. "Economic impacts of reducing agricultural use of mineral fertilizer in France : a general equilibrium analysis [Impacts économiques d'une réduction des utilisations agricoles des engrais minéraux e," Post-Print hal-02840460, HAL.
    13. Joze P. Damijan & Mark Knell & Boris Majcen & Matija Rojec, 2003. "Technology Transfer through FDI in Top-10 Transition Countries: How Important are Direct Effects, Horizontal and Vertical Spillovers?," William Davidson Institute Working Papers Series 549, William Davidson Institute at the University of Michigan.
    14. James J. Heckman, 2005. "Micro Data, Heterogeneity and the Evaluation of Public Policy Part 2," The American Economist, Sage Publications, vol. 49(1), pages 16-44, March.
    15. Lippi Bruni, Matteo & Mammi, Irene & Ugolini, Cristina, 2016. "Does the extension of primary care practice opening hours reduce the use of emergency services?," Journal of Health Economics, Elsevier, vol. 50(C), pages 144-155.
    16. Insik Min & Jong‐Ho Kim, 2003. "Modeling Credit Card Borrowing: A Comparison of Type I and Type II Tobit Approaches," Southern Economic Journal, John Wiley & Sons, vol. 70(1), pages 128-143, July.
    17. Arthur Lewbel, 2012. "Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 67-80.
    18. Jacques Mairesse & Bronwyn H. Hall & Benoît Mulkay, 1999. "Firm-Level Investment in France and the United States: An Exploration of What We Have Learned in Twenty Years," Annals of Economics and Statistics, GENES, issue 55-56, pages 27-67.
    19. Zheng, Yanfeng & Liu, Jing & George, Gerard, 2010. "The dynamic impact of innovative capability and inter-firm network on firm valuation: A longitudinal study of biotechnology start-ups," Journal of Business Venturing, Elsevier, vol. 25(6), pages 593-609, November.
    20. Jean-Paul Azam & Kartika Bhatia, 2017. "Provoking insurgency in a federal state: theory and application to India," Public Choice, Springer, vol. 170(3), pages 183-210, March.

    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:eaae11:114386. 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/eaaeeea.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.