Central limit theorems and inference for sources of productivity change measured by nonparametric Malmquist indices

Leopold Simar and Paul Wilson

No 2019010, LIDAM Reprints ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)

Date: 2019-01-01
Note: In : European Journal of Operational Research, vol. 277, no.2, p. 756-769 (2019)
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Journal Article: Central limit theorems and inference for sources of productivity change measured by nonparametric Malmquist indices (2019)
Working Paper: Central Limit Theorems and Inference for Sources of Productivity Change Measured by Nonparametric Malmquist Indices (2018)
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