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Central Limit Theorems and Inference for Sources of Productivity Change Measured by Nonparametric Malmquist Indices

Leopold Simar and Paul Wilson

No 2018021, LIDAM Discussion Papers ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)

Date: 2018-01-01
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Journal Article: Central limit theorems and inference for sources of productivity change measured by nonparametric Malmquist indices (2019) Downloads
Working Paper: Central limit theorems and inference for sources of productivity change measured by nonparametric Malmquist indices (2019)
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