1986
DOI: 10.2307/2233168
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Stochastic Trends in Dynamic Regression Models: An Application to the Employment-Output Equation

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1986
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Cited by 85 publications
(61 citation statements)
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“…In the third example, I sample from a stochastic trend. In the final example, I consider one of the estimations in Harvey et al (1986).…”
Section: Examplesmentioning
confidence: 99%
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“…In the third example, I sample from a stochastic trend. In the final example, I consider one of the estimations in Harvey et al (1986).…”
Section: Examplesmentioning
confidence: 99%
“…Hannesson et al (2010) studied technological change in the Norwegian Lofoten cod fishery with time series on inputs (effort and stock levels) and output (catch). The data contained only aggregated, industry-wide data, and rather than pursuing advanced methods and a more demanding analysis, for example in state space (Harvey et al 1986), they introduced time period dummies and ran ordinary least squares. They had in mind the general index approach of Baltagi and Griffin (1988) and related work, but without panel or crosssectional data.…”
Section: Introductionmentioning
confidence: 99%
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“…In the UC framework, the real exchange rate can be directly related to the permanent and transitory components of the above four fundamentals, such that     Studies which use the UC models to account for omitted variables from the cointegration relationship, include Harvey et al (1986), Sarantis and Stewart (2001) and Berger and Everaet (2010). 9 The long-run relationship between non-cointegrated 8 variables can be estimated consistently with maximum likelihood (ML) using the Kalman filter and the significance of the long-run relationship between noncointegrated variables can be tested using standard Wald or a likelihood ratio (LR)…”
Section: The Modelmentioning
confidence: 99%
“…Some of these studies used macro data (see, e.g. Harvey et al, 1986), other studies are based on micro data (see, e.g. Bentolila and Saint-Paul, 1992) or on micro data extended with a current-output variable that is aggregated towards a narrowly-defined industry leve1 (see, e.g.…”
Section: The Labour-demand Modelmentioning
confidence: 99%