Income convergence: the Dickey-Fuller test under the simultaneous presence of stochastic and deterministic trends

Gómez, Manuel and Ventosa-Santaulària, Daniel (2007): Income convergence: the Dickey-Fuller test under the simultaneous presence of stochastic and deterministic trends. Published in: Annales d'Economie et de Statisque No. 99/100 (2010): pp. 429-445.

Abstract

We investigate the efficiency of the Dickey-Fuller (DF) test as a tool to examine the convergence hypothesis. In doing so, we first describe two possible outcomes, overlooked in previous studies, namely Loose Catching-up and Loose Lagging-behind. Results suggest that this test is useful when the intention is to discriminate between a unit root process and a trend stationary process, though unreliable when used to differentiate between a unit root process and a process with both deterministic and stochastic trends. This issue may explain the lack of support for the convergence hypothesis in the aforementioned literature.

• Item Type: MPRA Paper
• Language: English
• Keywords: Divergence, Loose Catching-up/Lagging-behind, Convergence, De- terministic and Stochastic Trends.
• Subjects: C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models; O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O40 - General

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