IDEAS home Printed from https://ideas.repec.org/p/oeg/wpaper/2016-01.html
   My bibliography  Save this paper

Modelling the effect of crime on economic activity: The case of Mexican states

Author

Listed:
  • Álvarez, Antonio
  • Garduño, Rafael
  • Núñez, Héctor

Abstract

We estimate the technical efficiency of Mexican states using stochastic production frontier models. In particular, we study the effect of crime on efficiency. The empirical section uses panel data over the period 1988-2008. A distinctive feature of the paper is the use of socioeconomic and location data in order to control for the heterogeneity of the states. The main contribution of this paper is to test for the existence of a threshold effect of crime. We find that crime rate negatively affects the efficiency of the states and that its effect is only significant after a certain level.

Suggested Citation

  • Álvarez, Antonio & Garduño, Rafael & Núñez, Héctor, 2016. "Modelling the effect of crime on economic activity: The case of Mexican states," Efficiency Series Papers 2016/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    • Handle: RePEc:oeg:wpaper:2016/01
    as

    Download full text from publisher

    File URL: https://www.unioviedo.es/oeg/ESP/esp_2016_01.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chiquiar, Daniel, 2008. "Globalization, regional wage differentials and the Stolper-Samuelson Theorem: Evidence from Mexico," Journal of International Economics, Elsevier, vol. 74(1), pages 70-93, January.
    2. Weiss, Eli & Rosenblatt, David, 2010. "Regional economic growth in Mexico : recent evolution and the role of governance," Policy Research Working Paper Series 5369, The World Bank.
    3. Guido Ascari & Valeria di Cosmo, 2005. "Determinants of total factor productivity in the italian Regions," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2005(2).
    4. René Cabral & André Varella Mollick & Eduardo Saucedo, 2016. "Violence in Mexico and its effects on labor productivity," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(2), pages 317-339, March.
    5. 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.
    6. Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.
    7. Enamorado, Ted & López-Calva, Luis F. & Rodríguez-Castelán, Carlos, 2014. "Crime and growth convergence: Evidence from Mexico," Economics Letters, Elsevier, vol. 125(1), pages 9-13.
    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. Jaume Puig‐Junoy, 2001. "Technical Inefficiency and Public Capital in U.S. States: A Stochastic Frontier Approach," Journal of Regional Science, Wiley Blackwell, vol. 41(1), pages 75-96, February.
    10. 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.
    11. Daron Acemoglu & James Robinson, 2010. "The Role of Institutions in Growth and Development," Review of Economics and Institutions, Università di Perugia, vol. 1(2).
    12. Antonio Alvarez, 2007. "Decomposing regional productivity growth using an aggregate production frontier," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(2), pages 431-441, June.
    13. Baylis, Kathy & Garduño-Rivera, Rafael & Piras, Gianfranco, 2012. "The distributional effects of NAFTA in Mexico: Evidence from a panel of municipalities," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 286-302.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Mark D. Partridge & Dan S. Rickman, 1999. "Static and Dynamic Externalities, Industry Composition, and State Labor Productivity: A Panel Study of States," Southern Economic Journal, John Wiley & Sons, vol. 66(2), pages 319-335, October.
    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. Antonio Alvarez & Rafael Garduño-Rivera & Hector M. Nuñez, 2017. "Mexico's North-South divide: The regional distribution of state inefficiency 1988–2008," Papers in Regional Science, Wiley Blackwell, vol. 96(4), pages 843-858, November.
    2. 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.
    3. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Christopher F. Parmeter & Hung-Jen Wang & Subal C. Kumbhakar, 2017. "Nonparametric estimation of the determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 47(3), pages 205-221, June.
    9. Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.
    10. J. Griffin, 2011. "Bayesian clustering of distributions in stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 36(3), pages 275-283, December.
    11. Alejandro Esteller-Moré, 2005. "Is There a Connection Between the Tax Administration and the Political Power?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 12(5), pages 639-663, September.
    12. 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.
    13. Julio del Corral & Andrés Maroto & Andrés Gallardo, 2017. "Are Former Professional Athletes and Native Better Coaches? Evidence From Spanish Basketball," Journal of Sports Economics, , vol. 18(7), pages 698-719, October.
    14. Badunenko, Oleg & D’Inverno, Giovanna & De Witte, Kristof, 2023. "On distinguishing the direct causal effect of an intervention from its efficiency-enhancing effects," European Journal of Operational Research, Elsevier, vol. 310(1), pages 432-447.
    15. Larson, Donald F. & Plessmann, Frank, 2009. "Do farmers choose to be inefficient? Evidence from Bicol," Journal of Development Economics, Elsevier, vol. 90(1), pages 24-32, September.
    16. Giannis Karagiannis, 2005. "Explaining output growth with a heteroscedastic non-neutral production frontier: the case of sheep farms in Greece," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(1), pages 51-74, March.
    17. Shamsuzzoha & Makoto Tanaka, 2021. "The role of human capital on the performance of manufacturing firms in Bangladesh," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 21-33, January.
    18. Holtkamp, A.M. & Brummer, B., 2018. "Environmental efficiency of smallholder rubber production," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277518, International Association of Agricultural Economists.
    19. Antonio Alvarez & Christine Amsler & Luis Orea & Peter Schmidt, 2006. "Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics," Journal of Productivity Analysis, Springer, vol. 25(3), pages 201-212, June.
    20. Seunghwa Rho & Peter Schmidt, 2015. "Are all firms inefficient?," Journal of Productivity Analysis, Springer, vol. 43(3), pages 327-349, June.

    More about this item

    Keywords

    Regional efficiency; stochastic frontier; Mexico; panel data; crime;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    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:oeg:wpaper:2016/01. 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: Luis Orea or David Roibas (email available below). General contact details of provider: https://edirc.repec.org/data/geovies.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.