IDEAS home Printed from https://ideas.repec.org/a/col/000425/008585.html
   My bibliography  Save this article

Credit Ratings in the Presence of Bailout: The Case of Mexican Subnational Government Debt

Author

Listed:
  • Fausto Hernández-Trillo
  • Ricardo Smith-Ramírez

Abstract

Searching for an explanation for investment grades assigned to virtually bankrupt subnational governments in LDCs, we study the determinants of bond ratings for municipalities in Mexico. Our data set includes ratings from three agencies: S&P, Fitch, and Moody´s. To control for selectivity in the process of choosing an agency, we model the problem as a tri-variate selfselection process with ordinal responses. Additionally, in order to circumvent the estimation of multidimensional integrals, we implement a Monte Carlo Expectation Maximization (MCEM) algorithm. We find that not only financial but also political factors, such as number of voters and political party in power, are important and show evidence that the probability of bailout has a heavy weight in the rating process. Our outcomes question the purpose of rating sub-national debt in LDCs with a bailout tradition, since in those cases the market may assess the risk of subnational entities as that of sovereign instruments.

Suggested Citation

  • Fausto Hernández-Trillo & Ricardo Smith-Ramírez, 2009. "Credit Ratings in the Presence of Bailout: The Case of Mexican Subnational Government Debt," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Fall 2009), pages 45-79, August.
  • Handle: RePEc:col:000425:008585
    as

    Download full text from publisher

    File URL: http://economia.lacea.org/contents.htm
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Borsch-Supan, Axel & Hajivassiliou, Vassilis A., 1993. "Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models," Journal of Econometrics, Elsevier, vol. 58(3), pages 347-368, August.
    2. Eli M. Remolona & Michela Scatigna & Eliza Wu, 2008. "A ratings-based approach to measuring sovereign risk," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(1), pages 26-39.
    3. Millon, Marcia H & Thakor, Anjan V, 1985. "Moral Hazard and Information Sharing: A Model of Financial Information Gathering Agencies," Journal of Finance, American Finance Association, vol. 40(5), pages 1403-1422, December.
    4. Moon, Choon-Geol & Stotsky, Janet G, 1993. "Testing the Differences between the Determinants of Moody's and Standard & Poor's Ratings: An Application of Smooth Simulated Maximum Likelihood Estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(1), pages 51-69, Jan.-Marc.
    5. Afonso S. Bevilaqua & Márcio G. P. Garcia, 2002. "Banks, Domestic debt intermediation and confidence crises: the recent brazilian experience," Brazilian Journal of Political Economy, Center of Political Economy, vol. 22(4), pages 651-669.
    6. Carmen M. Reinhart, 2002. "Default, Currency Crises, and Sovereign Credit Ratings," The World Bank Economic Review, World Bank, vol. 16(2), pages 151-170, August.
    7. Keane, Michael P, 1992. "A Note on Identification in the Multinomial Probit Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(2), pages 193-200, April.
    8. Natarajan, Ranjini & McCulloch, Charles E. & Kiefer, Nicholas M., 2000. "A Monte Carlo EM method for estimating multinomial probit models," Computational Statistics & Data Analysis, Elsevier, vol. 34(1), pages 33-50, July.
    9. Bekaert, Geert & Harvey, Campbell R., 1997. "Emerging equity market volatility," Journal of Financial Economics, Elsevier, vol. 43(1), pages 29-77, January.
    10. Wallis, John Joseph, 1998. "The Political Economy of New Deal Spending Revisited, Again: With and without Nevada," Explorations in Economic History, Elsevier, vol. 35(2), pages 140-170, April.
    11. Carleton, Willard T & Lerner, Eugene M, 1969. "Statistical Credit Scoring of Municipal Bonds," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 1(4), pages 750-764, November.
    12. Carmen M. Reinhart, 2002. "An Introduction," The World Bank Economic Review, World Bank, vol. 16(2), pages 149-150, August.
    13. Fleck, Robert K., 2001. "Population, Land, Economic Conditions, and the Allocation of New Deal Spending," Explorations in Economic History, Elsevier, vol. 38(2), pages 296-304, April.
    14. Donald P. Morgan, 2002. "Rating Banks: Risk and Uncertainty in an Opaque Industry," American Economic Review, American Economic Association, vol. 92(4), pages 874-888, September.
    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. Ernesto del Castillo & René Cabral & Eduardo Saucedo, 2022. "The Sustainability of Mexican Municipal Public Debt," Sustainability, MDPI, vol. 14(11), pages 1-14, May.
    2. Xing Li & Xiangyu Ge & Cong Chen, 2022. "Several explorations on how to construct an early warning system for local government debt risk in China," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-27, February.

    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. Fausto Hernández-Trillo & Ricardo Smith, 2006. "Rating Sub-National Government Debt in LDCs: Does size matter?," Working Papers DTE 370, CIDE, División de Economía.
    2. Johannes W. Fedderke, 2013. "Promotion and Relegation between Country Risk Classes as Maintained by Country Risk Rating Agencies," Working Papers 376, Economic Research Southern Africa.
    3. Ricardo Smith Ramírez, 2007. "FIML estimation of treatment effect models with endogenous selection and multiple censored responses via a Monte Carlo EM Algorithm," Working Papers DTE 403, CIDE, División de Economía.
    4. Schaetzle, Dominik, 2011. "Ökonomische Funktionen von Ratingagenturen: Ratingagenturen in der neoinstitutionalistischen Finanzierungstheorie," Arbeitspapiere 113, University of Münster, Institute for Cooperatives.
    5. Paula Hill & Robert Faff, 2010. "The Market Impact of Relative Agency Activity in the Sovereign Ratings Market," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(9‐10), pages 1309-1347, November.
    6. Cavallo, Eduardo, 2009. "Comments," LSE Research Online Documents on Economics 123131, London School of Economics and Political Science, LSE Library.
    7. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    8. Haaijer, Marinus E., 1996. "Predictions in conjoint choice experiments : the x-factor probit model," Research Report 96B22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    9. Alexandr Karminsky & Anatoly Peresetsky, 2009. "Ratings as Measure of Financial Risk: Evolution, Function and Usage," Journal of the New Economic Association, New Economic Association, issue 1-2, pages 86-102.
    10. Caporale, Guglielmo Maria & Matousek, Roman & Stewart, Chris, 2012. "Ratings assignments: Lessons from international banks," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1593-1606.
    11. Shen, Chung-Hua & Huang, Yu-Li & Hasan, Iftekhar, 2012. "Asymmetric benchmarking in bank credit rating," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(1), pages 171-193.
    12. Hu, Haoshen & Prokop, Jörg & Trautwein, Hans-Michael, 2022. "Transnational spillover effects of European sovereign rating signals on bank stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 171-182.
    13. Geweke, John & Keane, Michael P & Runkle, David, 1994. "Alternative Computational Approaches to Inference in the Multinomial Probit Model," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 609-632, November.
    14. Fleck, Robert K., 2013. "Why did the electorate swing between parties during the Great Depression?," Explorations in Economic History, Elsevier, vol. 50(4), pages 599-619.
    15. Rennings, Klaus & Ziegler, Andreas, 2004. "Determinants of Environmental Innovations in Germany: Do Organizational Measures Matter? A Discrete Choice Analysis at the Firm Level," ZEW Discussion Papers 04-30, ZEW - Leibniz Centre for European Economic Research.
    16. Sumner J. La Croix & Denise Eby Konan, 2002. "Intellectual Property Rights in China: The Changing Political Economy of Chinese–American Interests," The World Economy, Wiley Blackwell, vol. 25(6), pages 759-788, June.
    17. Valentino Larcinese & Leonzio Rizzo & Cecilia Testa, 2013. "Why Do Small States Receive More Federal Money? U.S. Senate Representation and the Allocation of Federal Budget," Economics and Politics, Wiley Blackwell, vol. 25(3), pages 257-282, November.
    18. repec:ebl:ecbull:v:8:y:2007:i:3:p:1-5 is not listed on IDEAS
    19. Steven W. Pottier & David W. Sommer, 2006. "Opaqueness in the Insurance Industry: Why Are Some Insurers Harder to Evaluate than Others?," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 9(2), pages 149-163, September.
    20. Avramidis, Panagiotis & Cabolis, Christos & Serfes, Konstantinos, 2016. "Does one bank size fit all? The role of diversification and monitoring," School of Economics Working Paper Series 2016-7, LeBow College of Business, Drexel University, revised 17 Oct 2016.
    21. Rennings, Klaus & Ziegler, Andreas & Zwick, Thomas, 2001. "Employment changes in environmentally innovative firms," ZEW Discussion Papers 01-46, ZEW - Leibniz Centre for European Economic Research.

    More about this item

    Keywords

    Credit Ratings; Bailout; Subnational Governments; Debt;
    All these keywords.

    JEL classification:

    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G19 - Financial Economics - - General Financial Markets - - - Other
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • H74 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Borrowing

    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:col:000425:008585. 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: LACEA (email available below). General contact details of provider: https://edirc.repec.org/data/laceaea.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.