Luis R. Murillo-Zamorano
Management Science and Operations Research · 2001–2004
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 17 citations into it; #1,510 of 11,946 by trust here, #4,267 by citations
- Economics and Econometrics — 14 citations into it; #3,532 of 23,481 by trust here, #11,156 by citations
Whom Luis R. Murillo-Zamorano trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerry A. Hausman
- Hal R. Varian
- Kaoru Tone
- Tim Coelli
- Léopold Simar
- Yang-Duk Kim
- Atakelty Hailu
- Sergio Perelman
- P. Schmidt
- Paul Wilson
Who trusts Luis R. Murillo-Zamorano overall
- Erkie Asmare
- G. Boyd
- Othman Joumady
- Andualem Begashaw
- Francesc Trillas
- William H. Greene
- Catherine Ris
- Daniel Montolio
- António Afonso
- Gholam Reza Jahanshahloo
Papers from Luis R. Murillo-Zamorano's perspective
Ordered by how strongly the researchers Luis R. Murillo-Zamorano trusts endorse each paper. Same corpus, a different order for every researcher.
- ACTIVITY ANALYSIS OF PRODUCTION AND ALLOCATION
- Technical efficiency of European railways: a distance function approach
- Sampling-Based Approaches to Calculating Marginal Densities
- Efficiency measurement, multiple-output technologies and distance functions: with application to European Railways
- Stochastic estimation of firm technology, inefficiency, and productivity growth using shadow cost and distance functions
- Measurement of Technical Efficiency in Public Education: A Stochastic and Nonstochastic Production Function Approach
- Multiple comparisons with the best, with economic applications
- A Review and Empirical Comparison of Bayesian and Classical Approaches to Inference on Efficiency Levels in Stochastic Frontier Models with Panel Data
- Stochastic Frontier Models with Random Coefficients
- A general methodology for bootstrapping in non-parametric frontier models
Their papers
- Economic Efficiency and Frontier Techniques (2004) — 486 citations
- The use of parametric and non-parametric frontier methods to measure the productive efficiency in the industrial sector: A comparative study (2001) — 110 citations