Inference in Dynamic, Nonparametric Models of Production: Central Limit Theorems for Malmquist Indices

Citations

Cited by:

1. Valentin Zelenyuk, 2023. "Productivity analysis: roots, foundations, trends and perspectives," Journal of Productivity Analysis, Springer, vol. 60(3), pages 229-247, December.
   • Valentin Zelenyuk, 2023. "Productivity Analysis: Roots, Foundations, Trends and Perspectives," CEPA Working Papers Series WP062023, School of Economics, University of Queensland, Australia.
2. Paul W. Wilson & Shirong Zhao, 2023. "Investigating the performance of Chinese banks over 2007–2014," Annals of Operations Research, Springer, vol. 321(1), pages 663-692, February.
3. Arocena, Pablo & Saal, David S. & Urakami, Takuya & Zschille, Michael, 2020. "Measuring and decomposing productivity change in the presence of mergers," European Journal of Operational Research, Elsevier, vol. 282(1), pages 319-333.
4. Paul W. Wilson & Shirong Zhao, 2025. "A non-parametric analysis of world productivity growth, 1990–2019," Annals of Operations Research, Springer, vol. 346(3), pages 2253-2285, March.
5. Robin C. Sickles, 2023. "Special Symposium on Lifetime Achievements of Rolf Färe and Shawna Grosskopf," Journal of Productivity Analysis, Springer, vol. 60(3), pages 227-228, December.
6. Léopold Simar & Valentin Zelenyuk & Shirong Zhao, 2025. "Statistical inference for Hicks–Moorsteen productivity indices," Annals of Operations Research, Springer, vol. 351(2), pages 1675-1703, August.
   • Simar, Léopold & Zelenyuk, Valentin & Zhao, Shirong, 2023. "Statistical Inference for Hicks–Moorsteen Productivity Indices," LIDAM Discussion Papers ISBA 2023032, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
   • Simar, Léopold & Zelenyuk, Valentin & Zhao, Shirong, 2025. "Statistical Inference for Hicks–Moorsteen Productivity Indices," LIDAM Reprints ISBA 2025001, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
   • Léopold Simar & Valentin Zelenyuk & Shirong Zhao, 2023. "Statistical Inference for Hicks–Moorsteen Productivity Indices," CEPA Working Papers Series WP082023, School of Economics, University of Queensland, Australia.
7. Manh Pham & Léopold Simar & Valentin Zelenyuk, 2024. "Statistical Inference for Aggregation of Malmquist Productivity Indices," Operations Research, INFORMS, vol. 72(4), pages 1615-1629, July.
   • Manh D. Pham & Léopold Simar & Valentin Zelenyuk, 2019. "Statistical Inference for Aggregation of Malmquist Productivity Indices," CEPA Working Papers Series WP082019, School of Economics, University of Queensland, Australia.
   • Pham, Manh & Simar, Léopold & Zelenyuk, Valentin, 2023. "Statistical Inference for Aggregation of Malmquist Productivity Indices," LIDAM Reprints ISBA 2023010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
   • Pham, Manh D. & Simar, Léopold & Zelenyuk, Valentin, 2022. "Statistical Inference for Aggregation of Malmquist Productivity Indices," LIDAM Discussion Papers ISBA 2022005, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
8. Jin, Qianying & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2020. "Metafrontier productivity indices: Questioning the common convexification strategy," European Journal of Operational Research, Elsevier, vol. 283(2), pages 737-747.
   • Qianying Jin & Kristiaan Kerstens & Ignace van de Woestyne, 2020. "Metafrontier productivity indices: Questioning the common convexification strategy," Post-Print hal-02496997, HAL.
9. Simar, Leopold & Zelenyuk, Valentin, 2018. "Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores," LIDAM Discussion Papers ISBA 2018020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
   • Simar, Leopold & Zelenyuk, Valentin, 2020. "Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores," LIDAM Reprints ISBA 2020002, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
   • Léopold Simar & Valentin Zelenyuk, 2018. "Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores," CEPA Working Papers Series WP072018, School of Economics, University of Queensland, Australia.
10. Paul W. Wilson, 2025. "A Generalized Hyperbolic Distance Function for Benchmarking Performance: Estimation and Inference," Computational Economics, Springer;Society for Computational Economics, vol. 65(6), pages 3077-3110, June.
11. Daraio, Cinzia & Di Leo, Simone & Simar, Léopold, 2025. "Conical Free Disposal Hull estimators of directional distances and Luenberger productivity indices for general technologies," European Journal of Operational Research, Elsevier, vol. 323(3), pages 907-917.
    • Daraio, Cinzia & Di Leo, Simone & Simar, Léopold, 2025. "Conical Free Disposal Hull estimators of directional distances and Luenberger productivity indices for general technologies," LIDAM Reprints ISBA 2025004, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
12. Simar, Léopold & Zelenyuk, Valentin & Zhao, Shirong, 2024. "Inference for aggregate efficiency: Theory and guidelines for practitioners," European Journal of Operational Research, Elsevier, vol. 316(1), pages 240-254.
    • Léopold Simar & Valentin Zelenyuk & Shirong Zhao, 2023. "Inference for Aggregate Efficiency: Theory and Guidelines for Practitioners," CEPA Working Papers Series WP032023, School of Economics, University of Queensland, Australia.
    • Simar, Léopold & Zelenyuk, Valentin & Zhao, Shirong, 2024. "Inference for aggregate efficiency: Theory and guidelines for practitioners," LIDAM Reprints ISBA 2024012, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Simar, Léopold & Zelenyuk, Valentin & Zhao, Shirong, 2023. "Inference for Aggregate Efficiency: Theory and Guidelines for Practitioners," LIDAM Discussion Papers ISBA 2023016, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
13. Simar, Léopold & Zelenyuk, Valentin, 2020. "Improving finite sample approximation by central limit theorems for estimates from Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1002-1015.
    • Léopold Simar & Valentin Zelenyuk, 2020. "Improving Finite Sample Approximation by Central Limit Theorems for Estimates from Data Envelopment Analysis," CEPA Working Papers Series WP012020, School of Economics, University of Queensland, Australia.
14. Daraio, Cinzia & Di Leo, Simone & Simar, Léopold, 2024. "Conical FDH Estimators of Directional Distances and Luenberger Productivity Indices for General Technologies," LIDAM Discussion Papers ISBA 2024009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
15. Léopold Simar & Valentin Zelenyuk & Shirong Zhao, 2023. "Further improvements of finite sample approximation of central limit theorems for envelopment estimators," Journal of Productivity Analysis, Springer, vol. 59(2), pages 189-194, April.
    • Léopold Simar & Valentin Zelenyuk & Shirong Zhao, 2022. "Further Improvements of Finite Sample Approximation of Central Limit Theorems for Envelopment Estimators," CEPA Working Papers Series WP062022, School of Economics, University of Queensland, Australia.
    • Simar, Léopold & Zelenyuk, Valentin & Zhao, Shirong, 2023. "Further Improvements of Finite Sample Approximation of Central Limit Theorems for Envelopment Estimators," LIDAM Reprints ISBA 2023008, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Simar, Léopold & Zelenyuk, Valentin & Zhao, Shirong, 2023. "Further Improvements of Finite Sample Approximation of Central Limit Theorems for Envelopment Estimators," LIDAM Discussion Papers ISBA 2023015, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
16. Valentin Zelenyuk, 2024. "Aggregation in efficiency and productivity analysis: a brief review with new insights and justifications for constant returns to scale," Journal of Productivity Analysis, Springer, vol. 62(3), pages 321-334, December.
17. Valentin Zelenyuk, 2026. "Estimation and inference for aggregate productivity and efficiency measures: brief overview and reminiscences," Journal of Productivity Analysis, Springer, vol. 65(2), pages 1-9, June.
18. Paul W. Wilson, 2025. "Some Remarks on the Occasion of Léopold Simar’s Lifetime Achievement Award," Journal of Productivity Analysis, Springer, vol. 64(3), pages 341-347, December.
19. Zelenyuk, Valentin & Zhao, Shirong, 2024. "Russell and slack-based measures of efficiency: A unifying framework," European Journal of Operational Research, Elsevier, vol. 318(3), pages 867-876.
    • Léopold Simar & Valentin Zelenyuk & Shirong Zhao, 2023. "Russell and Slack-Based Measures of Efficiency: A Unifying Framework," CEPA Working Papers Series WP092023, School of Economics, University of Queensland, Australia.
20. Ali Emrouznejad & Victor Podinovski & Vincent Charles & Chixiao Lu & Amir Moradi-Motlagh, 2025. "Rajiv Banker’s lasting impact on data envelopment analysis," Annals of Operations Research, Springer, vol. 351(2), pages 1225-1264, August.
21. Karagiannis, Giannis & Ravanos, Panagiotis, 2025. "On the use of Malmquist productivity indices for intertemporal performance assessment by means of composite indicators," The Journal of Economic Asymmetries, Elsevier, vol. 31(C).
22. Léopold Simar & Paul W. Wilson, 2023. "Another look at productivity growth in industrialized countries," Journal of Productivity Analysis, Springer, vol. 60(3), pages 257-272, December.
    • Simar, Léopold & Wilson, Paul, 2022. "Another Look at Productivity Growth in Industrialized Countries," LIDAM Discussion Papers ISBA 2022028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
23. Camilla Mastromarco & Léopold Simar, 2026. "Nonparametric spatial frontier models for productivity analysis: evidence from EU regions," Journal of Productivity Analysis, Springer, vol. 65(2), pages 1-21, June.
    • Mastromarco, Camilla & Simar, Léopold, 2025. "Nonparametric Spatial Frontier Models for Productivity Analysis: Evidence from EU Regions," LIDAM Discussion Papers ISBA 2025020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
24. Du, Kai & Zelenyuk, Valentin, 2025. "Likelihood-ratio test for technological differences in two-stage data envelopment analysis for panel data," European Journal of Operational Research, Elsevier, vol. 321(2), pages 644-663.
25. Léopold Simar & Paul W. Wilson, 2020. "Hypothesis testing in nonparametric models of production using multiple sample splits," Journal of Productivity Analysis, Springer, vol. 53(3), pages 287-303, June.
    • Simar, Leopold & Wilson, Paul, 2019. "Hypothesis Testing in Nonparametric Models of Production using Multiple Sample Splits," LIDAM Discussion Papers ISBA 2019019, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Simar, Leopold & Wilson, Paul, 2020. "Hypothesis Testing in Nonparametric Models of Production using Multiple Sample Splits," LIDAM Reprints ISBA 2020004, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
26. Mette Asmild & Dorte Kronborg & Anders Rønn-Nielsen, 2018. "Testing productivity change, frontier shift, and efficiency change," IFRO Working Paper 2018/07, University of Copenhagen, Department of Food and Resource Economics.