(This abstract was borrowed from another version of this item.)"> (This abstract was borrowed from another version of this item.)">
Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/uai/wpaper/wp_033.html
   My bibliography  Save this paper

A Longitudinal Parametric Approach to Estimate Local Government Efficiency

Author

Abstract
Previous empirical works on municipal efficiency have mostly used cross-sectional data which makes it impossible to separate unobserved heterogeneity from inefficiency. Furthermore, they have also typically used a two stages approach which has been widely criticized as the assumptions made in the first stage are violated in the second stage, generating biased results. We present one of the first longitudinal parametric studies that analyze municipal efficiency and its determinants using a one step procedure. Furthermore, we are the first of this kind that analize overall efficiency as well as efficiency by clusters of municipalities in order to reduce heterogeneity. We use administrative datasets of Chilean municipalities for the 2008-2010 period and our results suggest that Chilean municipalities have on average an inefficiency level of 30% with a significant variance between clusters of municipalities. Also, our results suggest that socio-economic, fiscal and political variables affect municipal efficiency. In particular, we found that municipalities with tighter budget constraints are associated with more efficient municipalities.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Rafael Sanchez & Francisca Pacheco, 2014. "A Longitudinal Parametric Approach to Estimate Local Government Efficiency," Working Papers wp_033, Adolfo Ibáñez University, School of Government.
    • Handle: RePEc:uai:wpaper:wp_033
    as

    Download full text from publisher

    File URL: http://www.uai.cl/RePEc/uai/wpaper/wp_033.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Geys, Benny & Heinemann, Friedrich & Kalb, Alexander, 2010. "Voter involvement, fiscal autonomy and public sector efficiency: Evidence from German municipalities," European Journal of Political Economy, Elsevier, vol. 26(2), pages 265-278, June.
    2. Lenka Š astná & Martin Gregor, 2011. "Local Government Efficiency: Evidence from the Czech Municipalities," Working Papers IES 2011/14, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2011.
    3. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    4. Heikki Loikkanen & Ilkka Susiluoton, 2000. "Cost Efficiency of Finnish Municipalities in Basic Service Provision 1994-2002," Regional and Urban Modeling 283600056, EcoMod.
    5. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    6. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    7. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    8. William Greene, 2004. "Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 959-980, October.
    9. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    10. Angel Prieto & José ZofIo, 2001. "Evaluating Effectiveness in Public Provision of Infrastructure and Equipment: The Case of Spanish Municipalities," Journal of Productivity Analysis, Springer, vol. 15(1), pages 41-58, January.
    11. Alexander Kalb, 2010. "The Impact of Intergovernmental Grants on Cost Efficiency: Theory and Evidence from German Municipalities," Economic Analysis and Policy, Elsevier, vol. 40(1), pages 21-63, March.
    12. 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.
    13. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    14. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    15. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    16. de Sousa, Maria da Conceição Sampaio & Ramos, Francisco S., 1999. "Eficiência Técnica e Retornos de Escala na Produção de Serviços Públicos Municipais: o Caso do Nordeste e do Sudeste Brasileiros," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 53(4), October.
    17. 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.
    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. Ifigeneia-Dimitra Pougkakioti, 2021. "Measuring The Efficiency And Productivity Change Of Municipalities With An Output Oriented Model:Empirical Evidence Across Greek Municipalities Over The Time Period 2012-2016," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 15(1), pages 98-125, JUNE.
    2. Marco Alberto De Benedetto & Sergio Destefanis & Luigi Guadalupi, 2019. "Electoral Reform and Public Sector Efficiency. Some Evidence From Italian Municipalities," Working Papers 3_237, Dipartimento di Scienze Economiche e Statistiche, Università degli Studi di Salerno.
    3. Isabel Narbón-Perpiñá & Mª Teresa Balaguer-Coll & Marko Petrovic & Emili Tortosa-Ausina, 2017. "Which estimator to measure local governments’ cost efficiency? An application to Spanish municipalities," Working Papers 2017/06, Economics Department, Universitat Jaume I, Castellón (Spain).
    4. Enrique J. Buch‐Gómez & Roberto Cabaleiro‐Casal, 2020. "Turnout, political strength, and cost efficiency in Spanish municipalities of the autonomous region of Galicia: Evidence from an alternative stochastic frontier approach," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 533-553, June.
    5. Isabel Narbón-Perpiñá & Kristof De Witte, 2016. "Local governments’ efficiency: A systematic literature review – Part II," Working Papers 2016/21, Economics Department, Universitat Jaume I, Castellón (Spain).
    6. Isabel Narbón-Perpiñá & Maria Teresa Balaguer-Coll & Marko Petrović & Emili Tortosa-Ausina, 2020. "Which estimator to measure local governments’ cost efficiency? The case of Spanish municipalities," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(1), pages 51-82, March.

    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. Francisca Pacheco & Rafael Sánchez & Mauricio G. Villena, 2021. "Estimating local government efficiency using a panel data parametric approach: the case of Chilean municipalities," Applied Economics, Taylor & Francis Journals, vol. 53(3), pages 292-314, January.
    2. Valentin Zelenyuk & Zhichao Wang, 2023. "Random vs. Explained Inefficiency in Stochastic Frontier Analysis: The Case of Queensland Hospitals," CEPA Working Papers Series WP052023, School of Economics, University of Queensland, Australia.
    3. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    4. Giovanni Marin & Alessandro Palma, 2015. "Technology invention and diffusion in residential energy consumption. A stochastic frontier approach," SEEDS Working Papers 1415, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Sep 2015.
    5. Pontus Mattsson & Jonas Mansson & William H. Greene, 2018. "TFP Change and its Components for Swedish Manufacturing Firms During the 2008-2009 Financial Crisis," Working Papers 18-27, New York University, Leonard N. Stern School of Business, Department of Economics.
    6. Romero-Jordán, Desiderio & del Río, Pablo, 2022. "Analysing the drivers of the efficiency of households in electricity consumption," Energy Policy, Elsevier, vol. 164(C).
    7. 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.
    8. Chen, Yi-Yi & Schmidt, Peter & Wang, Hung-Jen, 2014. "Consistent estimation of the fixed effects stochastic frontier model," Journal of Econometrics, Elsevier, vol. 181(2), pages 65-76.
    9. Castiglione, Concetta & Infante, Davide & Zieba, Marta, 2023. "Public support for performing arts. Efficiency and productivity gains in eleven European countries," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    10. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    11. Florian Dorn, 2021. "Elections and Government Efficiency," ifo Working Paper Series 363, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    12. Belotti, Federico & Ilardi, Giuseppe, 2018. "Consistent inference in fixed-effects stochastic frontier models," Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.
    13. Roberto Colombi & Gianmaria Martini & Giorgio Vittadini, 2017. "Determinants of transient and persistent hospital efficiency: The case of Italy," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 5-22, September.
    14. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    15. Tian, Xu & Sun, Feifei & Zhou, Yingheng, 2015. "Technical Efficiency and Its Determinants in China's Hog Production," 2015 Conference, August 9-14, 2015, Milan, Italy 212718, International Association of Agricultural Economists.
    16. Massimo Filippini & William Greene, 2016. "Persistent and transient productive inefficiency: a maximum simulated likelihood approach," Journal of Productivity Analysis, Springer, vol. 45(2), pages 187-196, April.
    17. Jyotsna Rosario & K.R. Shanmugam, 2024. "Elementary Education Outcome Efficiency of Indian States: A Ray Frontier Approach," Working Papers 2024-264, Madras School of Economics,Chennai,India.
    18. Mehdi Farsi & Massimo Filippini & William Greene, 2006. "Application Of Panel Data Models In Benchmarking Analysis Of The Electricity Distribution Sector," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 77(3), pages 271-290, September.
    19. Mehdi Farsi & Massimo Filippini & William Greene, 2005. "Efficiency Measurement in Network Industries: Application to the Swiss Railway Companies," Journal of Regulatory Economics, Springer, vol. 28(1), pages 69-90, July.
    20. Paul, Satya & Shankar, Sriram, 2018. "Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier," MPRA Paper 87437, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

    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:uai:wpaper:wp_033. 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: Claudio A Agostini (email available below). General contact details of provider: https://edirc.repec.org/data/ipuaicl.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.