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On The Heterogeneity In The Judicial Efficiency Literature: A Meta-Regression Analysis

Author

Listed:
  • Francesco Aiello

    (Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF, Università della Calabria)

  • Graziella Bonanno

    (Departimento di Economia, Università di Salerno)

  • Francesco Foglia

    (Università Dante Alighieri, Reggio Calabria)

Abstract

This study performs a meta-regression analysis with the aim of explaining the differences in results obtained when estimating a frontier for judicial institutions. The metadata set comprises 264 efficiency scores retrieved from 36 papers published from 1992 to 2019. The empirical setting allows for the control of publication bias as in Aiello and Bonanno (2018; 2019) and is based on a random-effects model estimated with the two-step random-effects maximum likelihood (REML) technique proposed by Gallet and Doucouliagos (2014). Results show that primary papers using parametric methods yield higher efficiency scores than non-parametric studies. Additionally, the estimated efficiency scores in primary papers decrease with the number of inputs and outputs and the sample size. Importantly, the efficiency scores from studies that analyse the first-instance courts are higher than those obtained for the appeal courts. Meta-regressions also highlight that the efficiency scores retrieved from primary papers focusing on a specific court type (only tax, civil or criminal) are higher than those obtained when the analysed courts are mixed.

Suggested Citation

  • Francesco Aiello & Graziella Bonanno & Francesco Foglia, 2021. "On The Heterogeneity In The Judicial Efficiency Literature: A Meta-Regression Analysis," Working Papers 202102, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
  • Handle: RePEc:clb:wpaper:202102
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    as
    1. Maria Cipollina & Luca Salvatici, 2010. "Reciprocal Trade Agreements in Gravity Models: A Meta‐Analysis," Review of International Economics, Wiley Blackwell, vol. 18(1), pages 63-80, February.
    2. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
    3. Silva, Maria Conceição A., 2018. "Output-specific inputs in DEA: An application to courts of justice in Portugal," Omega, Elsevier, vol. 79(C), pages 43-53.
    4. Wojciech Major, 2015. "Data Envelopment Analysis as an instrument for measuring the efficiency of courts," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 25(4), pages 19-34.
    5. Santos, Sérgio P. & Amado, Carla A.F., 2014. "On the need for reform of the Portuguese judicial system – Does Data Envelopment Analysis assessment support it?," Omega, Elsevier, vol. 47(C), pages 1-16.
    6. Luciana Yeung, 2014. "Measuring Efficiency of Courts: An Assessment of Brazilian Courts Productivity," International Series in Operations Research & Management Science, in: Ali Emrouznejad & Emilyn Cabanda (ed.), Managing Service Productivity, edition 127, pages 155-165, Springer.
    7. David Card & Jochen Kluve & Andrea Weber, 2010. "Active Labour Market Policy Evaluations: A Meta-Analysis," Economic Journal, Royal Economic Society, vol. 120(548), pages 452-477, November.
    8. Francesco Aiello & Graziella Bonanno, 2018. "On The Sources Of Heterogeneity In Banking Efficiency Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 194-225, February.
    9. Massimo Finocchiaro Castro & Calogero Guccio, 2014. "Searching for the source of technical inefficiency in Italian judicial districts: an empirical investigation," European Journal of Law and Economics, Springer, vol. 38(3), pages 369-391, December.
    10. Lars P. Feld & Jost H. Heckemeyer, 2011. "Fdi And Taxation: A Meta‐Study," Journal of Economic Surveys, Wiley Blackwell, vol. 25(2), pages 233-272, April.
    11. Falavigna, Greta & Ippoliti, Roberto & Manello, Alessandro & Ramello, Giovanni B., 2015. "Judicial productivity, delay and efficiency: A Directional Distance Function (DDF) approach," European Journal of Operational Research, Elsevier, vol. 240(2), pages 592-601.
    12. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    13. Elisa Fusco & Martina Laurenzi & Bernardo Maggi, 2018. "A data envelopment analysis of the Italian judicial efficiency," DSS Empirical Economics and Econometrics Working Papers Series 2018/2, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
    14. Małgorzata Guzowska & Tomasz Strąk, 2010. "An examination of the efficiency of Polish public sector entities based on public prosecutor offices," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 20(2), pages 41-57.
    15. Hristos Doucouliagos & Martin Paldam, 2009. "The Aid Effectiveness Literature: The Sad Results Of 40 Years Of Research," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 433-461, July.
    16. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    17. Fan, Yubing & Wang, Chenggang & Nan, Zhibiao, 2018. "Determining water use efficiency of wheat and cotton: A meta-regression analysis," Agricultural Water Management, Elsevier, vol. 199(C), pages 48-60.
    18. Raj Chetty & Adam Guren & Day Manoli & Andrea Weber, 2013. "Does Indivisible Labor Explain the Difference between Micro and Macro Elasticities? A Meta-Analysis of Extensive Margin Elasticities," NBER Macroeconomics Annual, University of Chicago Press, vol. 27(1), pages 1-56.
    19. Gallet, Craig A. & Doucouliagos, Hristos, 2014. "The income elasticity of air travel: A meta-analysis," Annals of Tourism Research, Elsevier, vol. 49(C), pages 141-155.
    20. T. D. Stanley, 2005. "Beyond Publication Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 309-345, July.
    21. Martijn Brons & Peter Nijkamp & Eric Pels & Piet Rietveld, 2005. "Efficiency of urban public transit: A meta analysis," Transportation, Springer, vol. 32(1), pages 1-21, January.
    22. Anne-Célia Disdier & Keith Head, 2008. "The Puzzling Persistence of the Distance Effect on Bilateral Trade," The Review of Economics and Statistics, MIT Press, vol. 90(1), pages 37-48, February.
    23. Feld, Lars P. & Heckemeyer, Jost H. & Overesch, Michael, 2013. "Capital structure choice and company taxation: A meta-study," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2850-2866.
    24. Stefan Voigt, 2016. "Determinants of judicial efficiency: a survey," European Journal of Law and Economics, Springer, vol. 42(2), pages 183-208, October.
    25. Egert, Balazs & Halpern, Laszlo, 2006. "Equilibrium exchange rates in Central and Eastern Europe: A meta-regression analysis," Journal of Banking & Finance, Elsevier, vol. 30(5), pages 1359-1374, May.
    26. Tian, Xu & Yu, Xiaohua, 2012. "The Enigmas of TFP in China: A meta-analysis," China Economic Review, Elsevier, vol. 23(2), pages 396-414.
    27. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    28. Hristos Doucouliagos & T. D. Stanley, 2009. "Publication Selection Bias in Minimum‐Wage Research? A Meta‐Regression Analysis," British Journal of Industrial Relations, London School of Economics, vol. 47(2), pages 406-428, June.
    29. Havranek, Tomas & Irsova, Zuzana & Janda, Karel, 2012. "Demand for gasoline is more price-inelastic than commonly thought," Energy Economics, Elsevier, vol. 34(1), pages 201-207.
    30. T. D. Stanley, 2008. "Meta‐Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(1), pages 103-127, February.
    31. Falavigna, Greta & Ippoliti, Roberto & Ramello, Giovanni B., 2018. "DEA-based Malmquist productivity indexes for understanding courts reform," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 31-43.
    32. Marciano, Alain & Melcarne, Alessandro & Ramello, Giovanni B., 2019. "The economic importance of judicial institutions, their performance and the proper way to measure them," Journal of Institutional Economics, Cambridge University Press, vol. 15(1), pages 81-98, February.
    33. Bumann, Silke & Hermes, Niels & Lensink, Robert, 2013. "Financial liberalization and economic growth: A meta-analysis," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 255-281.
    34. Ogundari, Kolawole, 2014. "The Paradigm of Agricultural Efficiency and its Implication on Food Security in Africa: What Does Meta-analysis Reveal?," World Development, Elsevier, vol. 64(C), pages 690-702.
    35. Justice G. Djokoto & Korbla F. Gidiglo, 2016. "Technical Efficiency in Agribusiness: A Meta‐Analysis on Ghana," Agribusiness, John Wiley & Sons, Ltd., vol. 32(3), pages 397-415, July.
    36. Fauvrelle Thiago A. & Tony C Almeida Alessio, 2018. "Determinants of Judicial Efficiency Change: Evidence from Brazil," Review of Law & Economics, De Gruyter, vol. 14(1), pages 1-36, March.
    37. Roberto Ippoliti & Alessandro Melcarne & Giovanni Ramello, 2015. "Judicial efficiency and entrepreneurs’ expectations on the reliability of European legal systems," European Journal of Law and Economics, Springer, vol. 40(1), pages 75-94, August.
    38. Alain Marciano & Alessandro Melcarne & Giovanni Battista Ramello, 2019. "The economic importance of judicial institutions, their performance and the proper way to measure them," Post-Print hal-02005900, HAL.
    39. Kim-Huong Nguyen & Tim Coelli, 2009. "Quantifying the effects of modelling choices on hospital efficiency measures: A meta-regression analysis," CEPA Working Papers Series WP072009, School of Economics, University of Queensland, Australia.
    40. Peyrache, Antonio & Zago, Angelo, 2016. "Large courts, small justice!," Omega, Elsevier, vol. 64(C), pages 42-56.
    41. Francesco Aiello & Graziella Bonanno, 2019. "Explaining Differences In Efficiency: A Meta‐Study On Local Government Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 999-1027, July.
    42. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    43. Yeung, Luciana & Azevedo, Paulo Furquim, 2011. "Measuring the Efficiency of Brazilian Courts from 2006 to 2008: What Do the Numbers Tell Us?," Insper Working Papers wpe_251, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    44. Eugenia Nissi & Massimiliano Giacalone & Carlo Cusatelli, 2019. "The Efficiency of the Italian Judicial System: A Two Stage Data Envelopment Analysis Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 395-407, November.
    45. Massimo Finocchiaro Castro & Calogero Guccio, 2018. "Measuring Potential Efficiency Gains from Mergers of Italian First Instance Courts through Nonparametric Model," Public Finance Review, , vol. 46(1), pages 83-116, January.
    46. Edward Oczkowski & Hristos Doucouliagos, 2015. "Wine Prices and Quality Ratings: A Meta-regression Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(1), pages 103-121.
    47. Mattsson, Pontus & Tidanå, Claes, 2019. "Potential efficiency effects of merging the Swedish district courts," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 58-68.
    48. Roberto Ippoliti & Giovanni B. Ramello, 2018. "Governance of tax courts," Economics of Governance, Springer, vol. 19(4), pages 317-338, November.
    49. Maria Abreu & Henri L.F. de Groot & Raymond J.G.M. Florax, 2005. "A Meta-Analysis of Beta-Convergence: The Legendary Two-Percent," Tinbergen Institute Discussion Papers 05-001/3, Tinbergen Institute.
    50. Thiam, Abdourahmane & Bravo-Ureta, Boris E. & Rivas, Teodoro E., 2001. "Technical efficiency in developing country agriculture: a meta-analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 235-243, September.
    51. T. D. Stanley, 2001. "Wheat from Chaff: Meta-analysis as Quantitative Literature Review," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 131-150, Summer.
    52. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    53. Roberto Ippoliti & Alessandro Melcarne & Giovanni B. Ramello, 2015. "The Impact of Judicial Efficiency on Entrepreneurial Action: A European Perspective," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 44(1), pages 57-74, February.
    54. Odeck, James & Bråthen, Svein, 2012. "A meta-analysis of DEA and SFA studies of the technical efficiency of seaports: A comparison of fixed and random-effects regression models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1574-1585.
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    More about this item

    Keywords

    District courts; Efficiency; Frontier models; Judicial system; Meta-analysis;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General
    • P37 - Economic Systems - - Socialist Institutions and Their Transitions - - - Legal

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