Choosing the Appropriate Regression from Nine Different Mathematical Models
Ovidiu Gherasim ()
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Ovidiu Gherasim: "Gh. Zane" Institute of Economic and Social Research, The Romanian Academy, Iaşi Branch (ICES – ARFI), Romania
Ovidius University Annals, Economic Sciences Series, 2022, vol. XXII, issue 1, 240-247
Abstract:
Choosing the most appropriate mathematical model for establishing a simple regression between two variables which represent two economic indicators or from other scientific fields is an approach that involves many and often quite difficult actions. In the article we rigorously presented the stages to be followed in order to obtain the defining parameters for nine models: linear, power (double logarithmic), exponential, logarithmic, three hyperbolic models (the third is also a TÓ§rnqvist-type model) and two exponential-hyperbolic models. The final stage in establishing the most appropriate model is less discussed in the paper. Thus, the simple regression for which the model has the highest Pearson correlation coefficient is chosen as optimal in the article.
Keywords: simple regressions; power model; exponential model; logarithmic model; hyperbolic model (search for similar items in EconPapers)
JEL-codes: C02 C24 C40 C50 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:ovi:oviste:v:xxii:y:2022:i:1:p:240-247
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