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A time-varying true individual effects model with endogenous regressors

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  • Kutlu, Levent
  • Tran, Kien C.
  • Tsionas, Mike G.

Abstract

We propose a fairly general individual effects stochastic frontier model, which allows both heterogeneity and inefficiency to change over time. Moreover, our model handles the endogeneity problems if either at least one of the regressors or one-sided error term is correlated with the two-sided error term. Our Monte Carlo experiments show that our estimator performs well. We employed our methodology to the US banking data and found a negative relationship between return on revenue and cost efficiency. Estimators ignoring time-varying heterogeneity or endogeneity did not perform well and gave very different estimates compared to our estimator.

Suggested Citation

  • Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2019. "A time-varying true individual effects model with endogenous regressors," Journal of Econometrics, Elsevier, vol. 211(2), pages 539-559.
    • Handle: RePEc:eee:econom:v:211:y:2019:i:2:p:539-559
    DOI: 10.1016/j.jeconom.2019.01.014
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    Cited by:

    1. Christopher F. Parameter & Léopold Simar & Ingrid Van Keilegom & Valentin Zelenyuk, 2021. "Inference in the Nonparametric Stochastic Frontier Model," CEPA Working Papers Series WP132021, School of Economics, University of Queensland, Australia.
    2. Levent Kutlu, 2022. "Spatial stochastic frontier model with endogenous weighting matrix," Empirical Economics, Springer, vol. 63(4), pages 1947-1968, October.
    3. Guarini, Giulio & Laureti, Tiziana & Garofalo, Giuseppe, 2020. "Socio-institutional determinants of educational resource efficiency according to the capability approach: An endogenous stochastic frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    4. Kassouri, Yacouba & Altıntaş, Halil, 2021. "Cyclical drivers of fiscal policy in sub-Saharan Africa: New insights from the time-varying heterogeneity approach," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 51-67.
    5. Bernini, Cristina & Galli, Federica, 2023. "Innovation, productivity and spillover effects in the Italian accommodation industry," Economic Modelling, Elsevier, vol. 119(C).
    6. Chen, Bowen & Dennis, Elliott J. & Featherstone, Allen, 2022. "Weather Impacts the Agricultural Production Efficiency of Wheat: The Emerging Role of Precipitation Shocks," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(3), September.
    7. Tran, Kien C. & Tsionas, Mike G. & Prokhorov, Artem B., 2023. "Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1189-1199.
    8. Mustafa U. Karakaplan & Levent Kutlu & Mike G. Tsionas, 2020. "A solution to log of dependent variables with negative observations," Journal of Productivity Analysis, Springer, vol. 54(2), pages 107-119, December.
    9. Levent Kutlu & Robin C. Sickles & Mike G. Tsionas & Emmanuel Mamatzakis, 2022. "Heterogeneous decision-making and market power: an application to Eurozone banks," Empirical Economics, Springer, vol. 63(6), pages 3061-3092, December.
    10. Levent Kutlu, 2020. "Greenhouse Gas Emission Efficiencies of World Countries," IJERPH, MDPI, vol. 17(23), pages 1-11, November.
    11. 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.
    12. Bernhard Dalheimer & Christoph Kubitza & Bernhard Brümmer, 2022. "Technical efficiency and farmland expansion: Evidence from oil palm smallholders in Indonesia," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1364-1387, August.
    13. Kutlu, Levent, 2023. "Calculating efficiency for spatial autoregressive stochastic frontier model," Economics Letters, Elsevier, vol. 225(C).
    14. Silvio Daidone & Francisco Pereira Fontes, 2023. "The role of social protection in mitigating the effects of rainfall shocks. Evidence from Ethiopia," Journal of Productivity Analysis, Springer, vol. 60(3), pages 315-332, December.
    15. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2020. "A spatial stochastic frontier model with endogenous frontier and environmental variables," European Journal of Operational Research, Elsevier, vol. 286(1), pages 389-399.
    16. Lin, Winston T. & Chen, Yueh H. & Chou, Chia-Ching, 2021. "Assessing the business values of e-commerce and information technology separately and jointly and their impacts upon US firms' performance as measured by productive efficiency," International Journal of Production Economics, Elsevier, vol. 241(C).
    17. Martin Bugaj & Pavol Durana & Roman Blazek & Jakub Horak, 2023. "Industry 4.0: Marvels in Profitability in the Transport Sector," Mathematics, MDPI, vol. 11(17), pages 1-23, August.
    18. Centorrino, Samuele & Pérez-Urdiales, María & Bravo-Ureta, Boris & Wall, Alan, 2022. "Binary endogenous treatment in stochastic frontier models with an application to soil conservation in El Salvador," Efficiency Series Papers 2022/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    19. Kien C. Tran & Mike G. Tsionas, 2023. "Semiparametric estimation of a spatial autoregressive nonparametric stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-28, December.
    20. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
    21. Richard Adjei Dwumfour & Eric Fosu Oteng-Abayie & Emmanuel Kwasi Mensah, 2022. "Bank efficiency and the bank lending channel: new evidence," Empirical Economics, Springer, vol. 63(3), pages 1489-1542, September.
    22. Levent Kutlu & Kien C. Tran & Mike G. Tsionas, 2020. "Unknown latent structure and inefficiency in panel stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 54(1), pages 75-86, August.
    23. Centorrino, Samuele & Perez Urdiales, Mari­a & Bravo-Ureta, Boris & Wall, Alan, 2021. "Binary Endogenous Treatment in Stochastic Frontier Models with an Application to Soil Conservation in El Salvador," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 312058, Agricultural Economics Society - AES.

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    More about this item

    Keywords

    Endogeneity; Panel data; Stochastic frontier; True fixed effects; Time-varying heterogeneity;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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