IDEAS home Printed from https://ideas.repec.org/p/emc/wpaper/dte603.html
   My bibliography  Save this paper

Stochastic Frontiers and Technical Efficiency of Local Public Expenditure in Mexico

Author

Listed:
  • Alejandro U. Becerra Ornelas

    (Division of Economics, CIDE)

  • Héctor M. Núñez

    (Division of Economics, CIDE)

Abstract

This work analyses the effect of the institutional design of public spending on the technical efficiency. The model controls the technical efficiency with two institutional variables for earmarked and autonomous revenues and assess them using two stochastic frontier models. The main findings show that the expenditure of municipalities, regardless of its type, reduces to the technical efficiency of local production. These results support the Brennan-Buchanan collusion hypothesis that descentralization generates an increment in government spending, but it is not translated into better population welfare.

Suggested Citation

  • Alejandro U. Becerra Ornelas & Héctor M. Núñez, 2017. "Stochastic Frontiers and Technical Efficiency of Local Public Expenditure in Mexico," Working papers DTE 603, CIDE, División de Economía.
  • Handle: RePEc:emc:wpaper:dte603
    as

    Download full text from publisher

    File URL: http://www.economiamexicana.cide.edu/RePEc/emc/pdf/DTE/DTE603.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Caudill, Steven B. & Ford, Jon M., 1993. "Biases in frontier estimation due to heteroscedasticity," Economics Letters, Elsevier, vol. 41(1), pages 17-20.
    2. Brennan,Geoffrey & Buchanan,James M., 2006. "The Power to Tax," Cambridge Books, Cambridge University Press, number 9780521027922.
    3. Hadri, Kaddour, 1999. "Estimation of a Doubly Heteroscedastic Stochastic Frontier Cost Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 359-363, July.
    4. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    5. Frauke G. Braun & Astrid Cullmann, 2011. "Regional Differences of Production and Efficiency of Mexican Manufacturing: An Application of Nested and Stochastic Frontier Panel Models," Journal of Developing Areas, Tennessee State University, College of Business, vol. 45(1), pages 291-311, July-Dece.
    6. Aschauer, David Alan, 1989. "Does public capital crowd out private capital?," Journal of Monetary Economics, Elsevier, vol. 24(2), pages 171-188, September.
    7. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    8. Fausto Hernández Trillo & Brenda Jarillo Rabling, 2007. "Transferencias condicionadas federales en países en desarrollo: el caso del FISM en México," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 22(2), pages 143-184.
    9. Bannister, Geoffrey J. & Stolp, Chandler, 1995. "Regional concentration and efficiency in Mexican manufacturing," European Journal of Operational Research, Elsevier, vol. 80(3), pages 672-690, February.
    10. Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-111, January.
    11. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    12. Federico Belotti & Giuseppe Ilardi, 2012. "Consistent Estimation of the “True” Fixed-effects Stochastic Frontier Model," CEIS Research Paper 231, Tor Vergata University, CEIS, revised 18 Apr 2012.
    13. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    14. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    15. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    16. Duran-Fernandez, Roberto & Santos, Georgina, 2014. "Road infrastructure spillovers on the manufacturing sector in Mexico," Research in Transportation Economics, Elsevier, vol. 46(C), pages 17-29.
    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. Alejandro U. Becerra-Ornelas & Hector M. Nuñez, 2019. "The technical efficiency of local economies in Mexico: a failure of decentralized public spending," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(2), pages 247-264, April.
    2. Giovanni Marin & Alessandro Palma, 2015. "Technology invention and diffusion in residential energy consumption. A stochastic frontier approach," IEFE Working Papers 81, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    3. Paul, Satya & Shankar, Sriram, 2018. "Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier," MPRA Paper 87437, University Library of Munich, Germany.
    4. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
    5. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    6. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    7. Jorge Galán & Helena Veiga & Michael Wiper, 2014. "Bayesian estimation of inefficiency heterogeneity in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 85-101, August.
    8. Dipanwita Sarkar & Trevor C. Collier, 2019. "Does host-country education mitigate immigrant inefficiency? Evidence from earnings of Australian university graduates," Empirical Economics, Springer, vol. 56(1), pages 81-106, January.
    9. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    10. Antonio Álvarez-Pinilla & Rafael Garduño-Rivera & Héctor M. Núñez, 2015. "Estimating the Technical Efficiency of Mexican States," Working papers DTE 588, CIDE, División de Economía.
    11. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    12. Mäkinen, Mikko, 2007. "Do Stock Opiton Schemes Affect Technical Inefficiency? Evidence from Finland," Discussion Papers 1085, The Research Institute of the Finnish Economy.
    13. Seunghwa Rho & Peter Schmidt, 2015. "Are all firms inefficient?," Journal of Productivity Analysis, Springer, vol. 43(3), pages 327-349, June.
    14. Vanesa D’Elia & Gustavo Ferro, 2019. "Empirical Efficiency Measurement in Higher Education: An Overview," CEMA Working Papers: Serie Documentos de Trabajo. 708, Universidad del CEMA.
    15. Jacob A. Bikker & Barbara Casu & Claudia Girardone & Mohamed E Chaffai & Michel Dietsch & Antonio Colangelo & Robert Inklaar & Marco Colagiovanni & Martin Czurda & Roger Hartmann & Charles-Henri Di Ma, 2009. "Productivity in the Financial Services Sector," SUERF Studies, SUERF - The European Money and Finance Forum, number 2009/4 edited by Morten Balling & Ernest Gnan & Frank Lierman & Jean-Pierre Schoder, May.
    16. Paul, Satya & Shankar, Sriram, 2018. "On estimating efficiency effects in a stochastic frontier model," European Journal of Operational Research, Elsevier, vol. 271(2), pages 769-774.
    17. Ajayi, Victor & Weyman-Jones, Tom, 2021. "State-level electricity generation efficiency: Do restructuring and regulatory institutions matter in the US?," Energy Economics, Elsevier, vol. 104(C).
    18. Concetta Castiglione & Davide Infante & Marta Zieba, 2018. "Technical efficiency in the Italian performing arts companies," Small Business Economics, Springer, vol. 51(3), pages 609-638, October.
    19. Markose Chekol Zewdie & Michele Moretti & Daregot Berihun Tenessa & Zemen Ayalew Ayele & Jan Nyssen & Enyew Adgo Tsegaye & Amare Sewnet Minale & Steven Van Passel, 2021. "Agricultural Technical Efficiency of Smallholder Farmers in Ethiopia: A Stochastic Frontier Approach," Land, MDPI, vol. 10(3), pages 1-17, March.
    20. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.

    More about this item

    Keywords

    stochastic frontier; technical efficiency; earmarked and autonomous revenues; local economies;
    All these keywords.

    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:emc:wpaper:dte603. 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: Alfonso Miranda (email available below). General contact details of provider: https://edirc.repec.org/data/cideemx.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.