A Comparative Study of Parametric and Nonparametric Regressions

Shahram Fattahi
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Shahram Fattahi: Department of Economics, Razi University

Iranian Economic Review (IER), 2011, vol. 16, issue 3, 19-43

Abstract: This paper evaluates inflation forecasts made by parametric and nonparametric models. The results revealed that the neural network model yields better estimates of inflation rate than do parametric autoregressive integrated moving average (ARIMA) and linear models. Furthermore, the neural network model outperformed nonparametric models (except MARS).

Keywords: ARIMA; AM; MARS; PPR; NN; Inflation Forecast (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:eut:journl:v:16:y:2011:i:3:p:19

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