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Assymetric Mean Reversion in the Consumption-Income Ratio: Evidence from OECD economies

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  • Cook, Steven

Abstract

The debate concerning the mean reverting nature of the consumption-income ratio is revisited. The existing literature is extended by allowing for the as yet unconsidered possibility of asymmetric mean reversion in a collection of OECD economies. Using specifically derived finite-sample critical values, it is found that this approach leads to increased detection of mean reversion. However, the most striking feature of the results is the highly significant asymmetric mean reversion exhibited in Australia and Spain, which contrasts strongly with all other economies examined and is indicative of very different underlying consumer and savings behaviour.

Suggested Citation

  • Cook, Steven, 2002. "Assymetric Mean Reversion in the Consumption-Income Ratio: Evidence from OECD economies," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 2(2).
    • Handle: RePEc:eaa:aeinde:v:2:y:2002:i:2_2
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    Cited by:

    1. Sadiye Baykara & Erdinç Telatar, 2012. "The Stationarity Of Consumption-Income Ratios With Nonlinear And Asymmetric Unit Root Tests: Evidence From Fourteen Transition Economies," Hacettepe University Department of Economics Working Papers 20129, Hacettepe University, Department of Economics.
    2. Lo, Kuang-Ta & Chou, Ta-Sheng & Tsui, Stephanie, 2020. "The asymmetric behavior of household consumption under the business cycle," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

    More about this item

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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