This paper proposes a cointegration approach to testing the validity long-run equilibrium in production, where capital and labour are taken as quasi-fixed inputs. Previous studies consider only capital as the quasi-fixed input and do not take account of the time series properties of the variables, assuming implicitly that they are stationary. The canonical cointegrating regressions (CCR) procedure is employed to test for cointegration in both the single-equation and the seemingly unrelated regressions framework, and long-run equilibrium conditions are tested. The evidence from US manufacturing reveals that capital and labour are not fully adjusted to their long-run optimal values, casting doubt on the long-run equilibrium hypothesis. Copyri...
Long-run relationship between the variables involved in the production function is an issue that is ...
With the advent of the results on non-stationary data in time series econometrics and the increased ...
This paper employs recently developed non-stationary panel methodologies that assume cross-section d...
This paper proposes a cointegration approach to testing the validity long-run equilibrium in product...
In this paper we estimate the long-run relationships between total factor productivity and three typ...
The Cointegrated VAR model allows the user to study both long-run and short-run effects in the same ...
The economic non-stationary time series often have long-run relationships. The cointegrati...
The initial endogenous growth models emphasized the importance of externaI effects in explaining sus...
A major empirical interest in growth studies is whether permanent changes in economic fundamentals a...
Examines the behaviour of UK employment in manufacturing over the period 1964 to 1986. The use of co...
'Classical' econometric theory assumes that observed data come from a stationary process, where mean...
In this note we discuss some important issues in regression models for non-statio-nary time series. ...
We study the cointegration properties of data on aggregate output, five proxies for labor, two proxi...
This paper uses U.S. monthly industrial production employment data between 1964 and 2000 to examine ...
An attempt is made to link together earlier definitions of the long-run found in micro and macro ec...
Long-run relationship between the variables involved in the production function is an issue that is ...
With the advent of the results on non-stationary data in time series econometrics and the increased ...
This paper employs recently developed non-stationary panel methodologies that assume cross-section d...
This paper proposes a cointegration approach to testing the validity long-run equilibrium in product...
In this paper we estimate the long-run relationships between total factor productivity and three typ...
The Cointegrated VAR model allows the user to study both long-run and short-run effects in the same ...
The economic non-stationary time series often have long-run relationships. The cointegrati...
The initial endogenous growth models emphasized the importance of externaI effects in explaining sus...
A major empirical interest in growth studies is whether permanent changes in economic fundamentals a...
Examines the behaviour of UK employment in manufacturing over the period 1964 to 1986. The use of co...
'Classical' econometric theory assumes that observed data come from a stationary process, where mean...
In this note we discuss some important issues in regression models for non-statio-nary time series. ...
We study the cointegration properties of data on aggregate output, five proxies for labor, two proxi...
This paper uses U.S. monthly industrial production employment data between 1964 and 2000 to examine ...
An attempt is made to link together earlier definitions of the long-run found in micro and macro ec...
Long-run relationship between the variables involved in the production function is an issue that is ...
With the advent of the results on non-stationary data in time series econometrics and the increased ...
This paper employs recently developed non-stationary panel methodologies that assume cross-section d...