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Do we need a stochastic trend in cay estimation? Yes

Author

Listed:
  • Marcella Lucchetta

    (Department of Economics, University Of Venice CÃ Foscari)

  • Michele Costola

    (Research Center SAFE, Goethe University Frankfurt.)

  • Lorenzo Frattarolo

    (Department of Economics, University Of Venice CÃ Foscari)

  • Antonio Paradiso

    (Department of Economics, University Of Venice CÃ Foscari)

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.

Suggested Citation

  • Marcella Lucchetta & Michele Costola & Lorenzo Frattarolo & Antonio Paradiso, 2016. "Do we need a stochastic trend in cay estimation? Yes," Working Papers 2016:24, Department of Economics, University of Venice "Ca' Foscari".
  • Handle: RePEc:ven:wpaper:2016:24
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    References listed on IDEAS

    as
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    More about this item

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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