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Tracking Canadian Trend Productivity: A Dynamic Factor Model with Markov Switching

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Author Info
Michael Dolega
Abstract

The author attempts to track Canadian labour productivity over the past four decades using a multivariate dynamic factor model that, in addition to the labour productivity series, includes aggregate compensation and consumption information. Productivity is assumed to switch between two regimes (the high-growth state and the low-growth state) with different trend growth rates according to a first-order Markov process. The author finds that labour productivity in Canada fell from the high-growth to the low-growth state towards the end of the 1970s, and that it has not yet reverted to the high-growth state. In particular, the model primarily attributes the resurgence of labour productivity growth in the late nineties to transitory effects.

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File URL: http://www.bankofcanada.ca/en/res/dp/2007/dp07-12.pdf
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Paper provided by Bank of Canada in its series Discussion Papers with number 07-12.

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Length: 32 pages
Date of creation: 2007
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Handle: RePEc:bca:bocadp:07-12

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Related research
Keywords: Productivity;

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Find related papers by JEL classification:
O4 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
O51 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - U.S.; Canada
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions

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  1. Richard Dion & Robert Fay, 2008. "Understanding Productivity: A Review of Recent Technical Research," Discussion Papers 08-3, Bank of Canada. [Downloadable!]
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