IDEAS home Printed from https://ideas.repec.org/p/lic/licosd/28011.html
   My bibliography  Save this paper

Censored Demand System Estimation with Endogenous Expenditures in clustered samples: an application to food demand in urban Mozambique

Author

Listed:
  • Mikkel Barslund

Abstract

We address the issue of endogenous expenditures in the context of a censored demand system by an augmented regression approach estimated with a two-step estimator. An application to food demand by urban households in Mozambique shows that accounting for endogeneity is potentially important in obtaining reliable point estimates of price and, in particular, expenditure elasticities. Furthermore, a bootstrap approach to obtain confidence intervals when data are clustered - as is the case with most household surveys - is devised. Based on a Monte Carlo exercise we speculate that previous studies in failing to account for the clustered nature of the data overstate the precision with which elasticities are estimated.

Suggested Citation

  • Mikkel Barslund, 2011. "Censored Demand System Estimation with Endogenous Expenditures in clustered samples: an application to food demand in urban Mozambique," LICOS Discussion Papers 28011, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
  • Handle: RePEc:lic:licosd:28011
    as

    Download full text from publisher

    File URL: http://www.econ.kuleuven.be/licos/publications/dp/dp280.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Henning Tarp Jensen & Finn Tarp, 2001. "On the Choice of Appropriate Development Strategy: Insights from CGE Modelling of the Mozambican Economy," WIDER Working Paper Series DP2001-146, World Institute for Development Economic Research (UNU-WIDER).
    2. Blundell, Richard & Robin, Jean Marc, 1999. "Estimation in Large and Disaggregated Demand Systems: An Estimator for Conditionally Linear Systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 209-232, May-June.
    3. Sébastien Lecocq & Jean-Marc Robin, 2006. "Estimating Demand Response with Panel Data," Empirical Economics, Springer, vol. 31(4), pages 1043-1060, November.
    4. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    5. Steven T. Yen, 2002. "Beverage consumption among US children and adolescents: full-information and quasi maximum-likelihood estimation of a censored system," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 29(1), pages 85-104, March.
    6. 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.
    7. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1975. "Transcendental Logarithmic Utility Functions," American Economic Review, American Economic Association, vol. 65(3), pages 367-383, June.
    8. 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.
    9. Steven T. Yen, 2005. "A Multivariate Sample-Selection Model: Estimating Cigarette and Alcohol Demands with Zero Observations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 453-466.
    10. Diansheng Dong & Brian W. Gould & Harry M. Kaiser, 2004. "Food Demand in Mexico: An Application of the Amemiya-Tobin Approach to the Estimation of a Censored Food System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1094-1107.
    11. Panagiotis Lazaridis, 2004. "Demand elasticities derived from consistent estimation of Heckman-type models," Applied Economics Letters, Taylor & Francis Journals, vol. 11(8), pages 523-527.
    12. Steven Yen & Kamhon Kan & Shew-Jiuan Su, 2002. "Household demand for fats and oils: two-step estimation of a censored demand system," Applied Economics, Taylor & Francis Journals, vol. 34(14), pages 1799-1806.
    13. Cuma Akbay & Ismet Boz & Wen S. Chern, 2007. "Household food consumption in Turkey," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 34(2), pages 209-231, June.
    14. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
    15. Steven T. Yen & Biing-Hwan Lin, 2006. "A Sample Selection Approach to Censored Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 742-749.
    16. Biing‐Hwan Lin & Steven T. Yen & Diansheng Dong & David M. Smallwood, 2010. "Economic Incentives For Dietary Improvement Among Food Stamp Recipients," Contemporary Economic Policy, Western Economic Association International, vol. 28(4), pages 524-536, October.
    17. Yoko Niimi, 2005. "An Analysis of Household Responses to Price Shocks in Vietnam: Can Unit Values Substitute for Market Prices?," PRUS Working Papers 30, Poverty Research Unit at Sussex, University of Sussex.
    18. Yen, Steven T. & Fang, Cheng & Su, Shew-Jiuan, 2004. "Household food demand in urban China: a censored system approach," Journal of Comparative Economics, Elsevier, vol. 32(3), pages 564-585, September.
    19. Federico Perali & Jean-Paul Chavas, 2000. "Estimation of Censored Demand Equations from Large Cross-Section Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 1022-1037.
    20. David E. Sahn, 2005. "Consistent Estimation of Censored Demand Systems Using Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 660-672.
    21. Millimet, Daniel L. & Tchernis, Rusty, 2008. "Estimating high-dimensional demand systems in the presence of many binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 147(2), pages 384-395, December.
    22. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    23. Panagiotis Lazaridis, 2003. "Household meat demand in Greece: A demand systems approach using microdata," Agribusiness, John Wiley & Sons, Ltd., vol. 19(1), pages 43-59.
    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. Sung, Jae-hoon & Miranowski, John A., 2015. "Adaptive Behavior of U.S. Farms to Climate and Risk," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205787, Agricultural and Applied Economics Association.
    2. Andrej Cupák & Peter Tóth, 2017. "Measuring the Efficiency of VAT reforms: Evidence from Slovakia," Working and Discussion Papers WP 6/2017, Research Department, National Bank of Slovakia.

    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. Fadhuile, Adelaide & Lemarie, Stephane & Pirotte, Alain, 2011. "Pesticides Uses in Crop Production: What Can We Learn from French Farmers Practices?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103654, Agricultural and Applied Economics Association.
    2. repec:spr:hecrev:v:2:y:2014:i:1:p:1-27 is not listed on IDEAS
    3. Fabrizio balli & Silvia Tiezzi, 2008. "Households Consumption Patterns and Equivalence Scales in Italy: 1997-2004," Department of Economics University of Siena 535, Department of Economics, University of Siena.
    4. Ole Boysen, 2016. "Food Demand Characteristics in Uganda: Estimation and Policy Relevance," South African Journal of Economics, Economic Society of South Africa, vol. 84(2), pages 260-293, June.
    5. repec:spr:agfoec:v:2:y:2014:i:1:p:1-27 is not listed on IDEAS
    6. Luigi Cembalo & Francesco Caracciolo & Eugenio Pomarici, 2014. "Drinking cheaply: the demand for basic wine in Italy," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(3), pages 374-391, July.
    7. Golan, Amos & LaFrance, Jeffrey T & Perloff, Jeffrey M. & Seabold, Skipper, 2017. "Estimating a Demand System with Choke Prices," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4qt9q8vr, Department of Agricultural & Resource Economics, UC Berkeley.
    8. Astrid Jonas & Jutta Roosen, 2008. "Demand for milk labels in Germany: organic milk, conventional brands, and retail labels," Agribusiness, John Wiley & Sons, Ltd., vol. 24(2), pages 192-206.
    9. Zhuo Chen & Steven Yen, 2005. "On bias correction in the multivariate sample-selection model," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2459-2468.
    10. Tselepidakis, Elina, 2015. "Food Safety and the Demand for Leafy Greens," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205583, Agricultural and Applied Economics Association.
    11. Thomas, Alban & Chakir, Raja, 2020. "Unintended consequences of environmental policies: the case of set-aside and agricultural intensification," TSE Working Papers 20-1066, Toulouse School of Economics (TSE).
    12. Vardges Hovhannisyan & Hayk Khachatryan, 2017. "Ornamental Plants in the United States: An Econometric Analysis of a Household‐Level Demand System," Agribusiness, John Wiley & Sons, Ltd., vol. 33(2), pages 226-241, April.
    13. Andrej Cupák & Peter Tóth, 2017. "Measuring the Efficiency of VAT reforms: Evidence from Slovakia," Working and Discussion Papers WP 6/2017, Research Department, National Bank of Slovakia.
    14. Peter Tóth & Andrej Cupák & Marian Rizov, 2021. "Measuring the efficiency of VAT reforms: a demand system simulation approach," Oxford Economic Papers, Oxford University Press, vol. 73(3), pages 1218-1243.
    15. Ishdorj, Ariun & Jensen, Helen H., 2010. "Demand For Breakfast Cereals: Whole Grains Guidance And Food Choice," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116445, European Association of Agricultural Economists.
    16. Davis, Christopher G. & Dong, Diansheng & Blayney, Donald P. & Owens, Ashley, 2010. "An Analysis of U.S. Household Dairy Demand," Technical Bulletins 184308, United States Department of Agriculture, Economic Research Service.
    17. Ou Yang & Peter Sivey & Andrea M. de Silva & Anthony Scott, 2016. "Preschool Children’s Demand for Sugar Sweetened Beverages: Evidence from Stated-Preference Panel Data," Melbourne Institute Working Paper Series wp2016n25, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    18. Davis, Christopher G. & Dong, Diansheng & Blayney, Donald P. & Yen, Steven T. & Stillman, Richard, 2012. "U.S. Fluid Milk Demand: A Disaggregated Approach," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 15(1), pages 1-26, February.
    19. Fezzi, Carlo & Bateman, Ian J., 2009. "Structural Agricultural Land Use Modelling," 2009 Conference, August 16-22, 2009, Beijing, China 51423, International Association of Agricultural Economists.
    20. Ishdorj, Ariun & Jensen, Helen H., 2008. "Bayesian Estimation of a Censored AIDS Model for Whole Grain Products," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6075, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    21. Fabrizio Balli & Silvia Tiezzi, 2010. "Equivalence scales, the cost of children and household consumption patterns in Italy," Review of Economics of the Household, Springer, vol. 8(4), pages 527-549, December.
    22. Bilgic, Abdulbaki & Yen, Steven T., 2013. "Household food demand in Turkey: A two-step demand system approach," Food Policy, Elsevier, vol. 43(C), pages 267-277.

    More about this item

    Keywords

    Censored demand system; endogeneity; survey data; elasticities; Mozambique; food demand;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:lic:licosd:28011. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/licosbe.html .

    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: (email available below). General contact details of provider: https://edirc.repec.org/data/licosbe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.