2010•Unpublished venueOpen access

Comparing the impacts of biofuels using survey and non-survey data

James Daniel Rossi

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Abstract

This paper utilizes survey data to compare several non-survey methods of modeling the economic impacts of biofuels plants. It examines differences in the input coefficients derived from the survey versus the trade coefficients generated through the non-survey methods. It finds that of the three non-survey methods examined, the Swenson (2006) scenario input coefficients most closely represent those found in the survey based on the performance of the non-survey scenario input coefficients in a variety of statistical tests. Further, it examines the economic impacts (multipliers) generated by these scenarios compared to those generated from the survey. Based upon statistical tests of the multipliers, the Swenson scenario’s estimated impacts most closely represent the impacts derived from the survey.

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What this paper is about

This paper utilizes survey data to compare several non-survey methods of modeling the economic impacts of biofuels plants. It examines differences in the input coefficients derived from the survey versus the trade coefficients generated through the non-survey methods. It finds that of the three non-survey methods examined, the Swenson (2006) scenario input coefficients most closely represent those found in the survey based on the performance of the non-survey scenario input coefficients in a variety of statistical tests. Further, it examines the economic impacts (multipliers) generated by these scenarios compared to those generated from the survey. Based upon statistical tests of the multipliers, the Swenson scenario’s estimated impacts most closely represent the impacts derived from the survey.

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Available abstract

This paper utilizes survey data to compare several non-survey methods of modeling the economic impacts of biofuels plants. It examines differences in the input coefficients derived from the survey versus the trade coefficients generated through the non-survey methods. It finds that of the three non-survey methods examined, the Swenson (2006) scenario input coefficients most closely represent those found in the survey based on the performance of the non-survey scenario input coefficients in a variety of statistical tests. Further, it examines the economic impacts (multipliers) generated by these scenarios compared to those generated from the survey. Based upon statistical tests of the multipliers, the Swenson scenario’s estimated impacts most closely represent the impacts derived from the survey.

Key concepts: Survey data collection, Survey research, Survey methodology, Statistical survey, Econometrics, Statistics, Mathematics, Economics

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