Exploring Research Frontiers in Contemporary Statistics and by Ingrid Van Keilegom, Paul W. Wilson

By Ingrid Van Keilegom, Paul W. Wilson

This publication collects contributions written via famous statisticians and econometricians to recognize Léopold Simar’s far-reaching medical impression on data and Econometrics all through his profession. The papers contained herein have been awarded at a convention in
Louvain-la-Neuve in might 2009 in honor of his retirement.  The contributions conceal a vast number of matters surrounding frontier
estimation, which Léopold Simar has contributed a lot to during the last 20 years, in addition to similar matters equivalent to semiparametric regression and versions for censored data.

This ebook collects contributions written by way of famous statisticians and econometricians to recognize Léopold Simar’s far-reaching medical effect on records and Econometrics all through his profession. The papers contained herein have been awarded at a convention in
Louvain-la-Neuve in may perhaps 2009 in honor of his retirement.  The contributions conceal a extensive number of concerns surrounding frontier
estimation, which Léopold Simar has contributed a lot to during the last twenty years, in addition to comparable concerns akin to semiparametric regression and types for censored data.

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Densities of Indiv. Eff. Scores for Diff. 6 Fig. 2 Estimated Densities of Individual Efficiency Scores for Ownership Groups in Heavy Industry. Notes: (i) Groups 1, 2, 3, and 4 refer to SOEs, FFEs, TOEs, and COEs, respectively. 2 shows the (estimated) densities of individual efficiency distributions of the four ownership groups for the heavy industry sector. The densities appear to be more tightly grouped in the heavy industry sector than those observed for the light industry sector, other than in the case of FFEs, for which we see a clear difference in the density of efficiency relative to that of the other groups.

Scores for Diff. 6 Fig. 2 Estimated Densities of Individual Efficiency Scores for Ownership Groups in Heavy Industry. Notes: (i) Groups 1, 2, 3, and 4 refer to SOEs, FFEs, TOEs, and COEs, respectively. 2 shows the (estimated) densities of individual efficiency distributions of the four ownership groups for the heavy industry sector. The densities appear to be more tightly grouped in the heavy industry sector than those observed for the light industry sector, other than in the case of FFEs, for which we see a clear difference in the density of efficiency relative to that of the other groups.

Light industry” refers to the group of industries that produce consumer goods and hand tools. It consists of two categories distinguished from each other according to the materials used. 6 6 Some examples of the first category of light industries are food and beverage manufacturing, tobacco processing, and textiles and clothing, and some examples of the second category are the manufacturing of chemicals, synthetic fibers, chemical products, and glass products. 30 A. Shiu and V. 7 The level of competition among light-industry firms is generally more severe than that among heavy industry participants because there are usually more firms in the former group.

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