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Income Convergence: The Dickey-Fuller Test under the Simultaneous Presence of Stochastic and Deterministic Trends

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Author Info
Manuel Gomez () (School of Economics, Universidad de Guanajuato)
Daniel Ventosa-Santaularia () (School of Economics, Universidad de Guanajuato)

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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.

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Paper provided by Universidad de Guanajuato in its series School of Economics Working Papers with number EM200703.

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Handle: RePEc:gua:wpaper:em200703

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Related research
Keywords: Divergence Loose Catching-up/Lagging-behind Convergence Deterministic and Stochastic trends

Find related papers by JEL classification:
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models
O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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This page was last updated on 2008-7-22.


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