Browsing by Author "Feroz, Ehsan H"

Now showing 1 - 4 of 4
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    Data Envelopment Analysis As a Test of Economic Consequences of a Regulation: The Case of OSHA Cotton Dust Regulation
    (Bureau of Business and Economic Research, 1994-06) Feroz, Ehsan H; Haag, Stephen E; Raab, Raymond L
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    Do Mergers Improve Managerial Performance? A Data Envelopment Analysis Approach
    (Bureau of Business and Economic Research, 1998) Feroz, Ehsan H; Kim, Sungsoo; Levin, Ilene; Raab, Raymond L
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    Economic Consequences of OSHA Cotton Dust Regulation: An Income Efficiency Model Approach
    (Bureau of Business and Economic Research, 1995) Feroz, Ehsan H; Haag, Stephen E; Raab, Raymond L
    This paper used Data Envelopment Analysis (DEA) to test the economic consequences of the Occupational Health and Safety Administration (OSHA) cotton dust standards by comparing the relative efficiency of firms affected by cotton dust in SIC 2200 and 2300 for the years before and after the Supreme Court upheld the regulation in 1981. Accounting-based inputs of common equity, total assets and production costs were minimized, while total revenue was maximized. Using available Compustat firms, and controlling for the effects of imports for consumption providing for asymmetric cost disadvantages to United States firms, we found that the surviving firms had become more efficient during the postregulatory period as predicted. Apparently, these firms were able to accommodate the dust standard, reduce costs and improve the operating efficiency of tnese firms simultaneously. The results also indicate the usefulness of DEA as an alternative method of testing the economic consequences of a regulation.
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    A Generalized Linear Programming Approach to International Production Efficiency Rankings
    (Bureau of Business and Economic Research, 2000) Raab, Raymond L; Feroz, Ehsan H
    Productivity studies generally compare the Solow residuals for the more developed countries such as the OECD countries.1 In this paper we follow up on the frontier estimation approach of Fare, Grosskopf, Norris and Zhang (1994) to 17 OECD countries, and develop a generalized efficiency index for a much larger set of 57 countries both developed and underdeveloped by employing measures of per capita gross national product and resource availability indicators compiled by the World Bank and other international institutions. Using a Data Envelopment Analysis (DEA) based linear programming approach, we maximize the components of per capita GDP subject to minimizing specific resource intensity measures. Because DEA provides a units invariant comparison of relative efficiency, this programming approach yields a ranking of the most robustly efficient to the most robustly inefficient countries. As expected the more developed countries tend to be more robustly efficient, but intriguing contrasts between developed and less developed nations exist. We believe that the analytical tools developed in this paper have significant implications for meaningful comparison of cross-national data both at the inter governmental and non- governmental (NGO) level. Used with appropriate precautions, the DEA based analytical procedure developed here can be used by trans-national organizations including MNCs in allocation of scarce resources in the public and private sectors.