The paper investigates the importance of modeling in cay estimations from a statistical and economic perspective by observing the stochastic trend, a thus far neglected component. In order to do this, we perform an empirical analysis on US secular annual data from 1900 to 2015 considering the cay with non-durables and services and the cay with total consumption expenditure. Findings show the usefulness of including the stochastic trend in cay estimation. Furthermore, out-of-sample statistical and economic significance tests show the ability of the cay model with trend to outperform the traditional cay measure.
The paper investigates the importance of modeling in cay estimations from a statistical and economic perspective by observing the stochastic trend, a thus far neglected component. In order to do this, we perform an empirical analysis on US secular annual data from 1900 to 2015 considering the cay with non-durables and services and the cay with total consumption expenditure. Findings show the usefulness of including the stochastic trend in cay estimation. Furthermore, out-of-sample statistical and economic significance tests show the ability of the cay model with trend to outperform the traditional cay measure.
Do we need a stochastic trend in cay estimation? Yes.
COSTOLA, MICHELE;Frattarolo, Lorenzo;LUCCHETTA, Marcella;PARADISO, Antonio
2016-01-01
Abstract
The paper investigates the importance of modeling in cay estimations from a statistical and economic perspective by observing the stochastic trend, a thus far neglected component. In order to do this, we perform an empirical analysis on US secular annual data from 1900 to 2015 considering the cay with non-durables and services and the cay with total consumption expenditure. Findings show the usefulness of including the stochastic trend in cay estimation. Furthermore, out-of-sample statistical and economic significance tests show the ability of the cay model with trend to outperform the traditional cay measure.File | Dimensione | Formato | |
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