1992
DOI: 10.1068/a241549
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An Evaluation of the REMI Model for the South Coast Air Quality Management District

Abstract: This paper reports an evaluation of the econometric model developed by Regional Econometric Models Inc. for the South Coast Air Quality Management District. The analysis is focused on the in-sample performance, forecasting ability, and characteristics in impact analysis of the model. The trade-offs implicit in the performance of this model relate directly to questions of explanatory power. In particular, the model is characterized by well-specified structural equations that enhance its ability to formulate pol… Show more

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Cited by 15 publications
(14 citation statements)
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“…Several scholars have compared the model operations and results to those obtained with models that include only one modeling aspect, such as just an input-output approach (see, e.g., Crihfield & Campbell, 1991;Rickman & Schwer, 1993, 1995a, 1995b for a comparison and analysis of multipliers; and Rey, 1997Rey, , 1998, for an estimation of error and discussion of the usefulness of econometric and input-output hybrid models). Others have evaluated the predictive accuracy (Cassing & Giarratani, 1992;Molotch & Woolley, 1994;Treyz et al, 1991) and explanatory power of the model (see , for a discussion of this literature). These studies all confirm that the REMI model is robust and highly accurate, especially over short-to medium-term timeframes.…”
Section: Appendix B: Remi Model Supporting Literaturementioning
confidence: 99%
“…Several scholars have compared the model operations and results to those obtained with models that include only one modeling aspect, such as just an input-output approach (see, e.g., Crihfield & Campbell, 1991;Rickman & Schwer, 1993, 1995a, 1995b for a comparison and analysis of multipliers; and Rey, 1997Rey, , 1998, for an estimation of error and discussion of the usefulness of econometric and input-output hybrid models). Others have evaluated the predictive accuracy (Cassing & Giarratani, 1992;Molotch & Woolley, 1994;Treyz et al, 1991) and explanatory power of the model (see , for a discussion of this literature). These studies all confirm that the REMI model is robust and highly accurate, especially over short-to medium-term timeframes.…”
Section: Appendix B: Remi Model Supporting Literaturementioning
confidence: 99%
“…Statistical techniques are extensively used in the equation parameters and response estimations in the REMI model. There are a number of studies in the literature designed to validate the predictive accuracy of the REMI Model (Treyz et al 1991;Cassing and Giarratani 1992). In these studies, post-sample period forecasts are computed.…”
Section: Remi Model Analysismentioning
confidence: 99%
“…REMI has also been tested for its consistency across regions for equivalent simulations (Cassing and Giarratani 1992). There are also a number of studies in the literature designed to evaluate the predictive accuracy of the REMI model by testing the prediction errors in post-sample period forecasting (Treyz et al 1991;Cassing and Giarratani 1992). Our analysis moves beyond error analysis to validate, through multivariate econometric analysis, both the explanatory power of the REMI model and consistency of its output with regard to policy variables.…”
Section: Introductionmentioning
confidence: 99%
“…omy may not provide necessary forecasting accuracy (Cassing and Giarratani, 1986). On the other hand, forecasting models may not adequately capture the cyclicality of economic activities.…”
Section: Measuring Benefits On a Rule-by-rule Basis Is Very Costly Simentioning
confidence: 99%
“…Because of these similarities, the model uses statistical techniques so as to estimate economic responses based on data from throughout the United States. The second step of the modeling process is region specific and involves calibrating the model based on region-specific historical data (Cassing and Giarratani, 1990).…”
Section: The Remi Modelmentioning
confidence: 99%