Financial development and productive inefficiency: A robust conditional directional distance function approach
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- repec:gam:jjrfmx:v:11:y:2018:i:3:p:46-:d:162486 is not listed on IDEAS
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"Fast and Efficient Computation of Directional Distance Estimators,"
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2018-05, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
- Cinzia Daraio & Leopold Simar & Paul W. Wilson, 2018. "Fast and Efficient Computation of Directional Distance Estimators," LEM Papers Series 2018/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
More about this item
KeywordsFinancial development; Technological change; Technological catch-up; Productive inefficiencies; Robust directional distance functions;
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
- O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
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