Add to ORKGIn this paper we introduce a structural non-linear time series model for joint estimation of capacity and its utilisation, thereby providing the statistical underpinnings to a measurement problem that has received ad hoc solutions, often underlying arbitrary assumptions. The model we propose is a particular growth model subject to a saturation level which varies over time according to a stochastic process specified a priori. A bivariate extension is discussed which is relevant when survey based estimates of utilization rates are available. Illustrations are provided with respect to the US and the Italian industrial production
Most empirical studies provide evidence that the rate of capacity utilization is stable around a con...
Noting the variety of methods by which the concept of economic capacity is measured and the differen...
ost Keynesian macrodynamic models make various assumptions about the normal rate of capacity utiliza...
In this paper we introduce a structural non-linear time series model for joint estimation of capacit...
This paper derives measures of potential output and capacity utilization for a number of OECD countr...
In this work a dynamic factor model for capacity utilization in industry is estimated. Several measu...
The chapter deals with parametric models for the measurement of the business cycle in economic time ...
In the production function approach, accurate output gap assessment requires a careful evaluation of...
Traditional measures of the output gap rely on statistical filtering of trended series, results bein...
In a stochastic dynamic general equilibrium framework, we introduce the concept of variable capacity...
Abstract: The concepts of potential growth and the output gap are important components in assessing ...
In a stochastic dynamic general equilibrium framework, we introduce the concept of variable capacity...
This paper develops a nonparametric method of obtaining the minimum of the long run average cost cur...
The aim of this paper is to achieve a reliable estimate of the output gap for Italy through the deve...
This paper develops a method for the estimation of the rate of capacity utilization based on standar...
Most empirical studies provide evidence that the rate of capacity utilization is stable around a con...
Noting the variety of methods by which the concept of economic capacity is measured and the differen...
ost Keynesian macrodynamic models make various assumptions about the normal rate of capacity utiliza...
In this paper we introduce a structural non-linear time series model for joint estimation of capacit...
This paper derives measures of potential output and capacity utilization for a number of OECD countr...
In this work a dynamic factor model for capacity utilization in industry is estimated. Several measu...
The chapter deals with parametric models for the measurement of the business cycle in economic time ...
In the production function approach, accurate output gap assessment requires a careful evaluation of...
Traditional measures of the output gap rely on statistical filtering of trended series, results bein...
In a stochastic dynamic general equilibrium framework, we introduce the concept of variable capacity...
Abstract: The concepts of potential growth and the output gap are important components in assessing ...
In a stochastic dynamic general equilibrium framework, we introduce the concept of variable capacity...
This paper develops a nonparametric method of obtaining the minimum of the long run average cost cur...
The aim of this paper is to achieve a reliable estimate of the output gap for Italy through the deve...
This paper develops a method for the estimation of the rate of capacity utilization based on standar...
Most empirical studies provide evidence that the rate of capacity utilization is stable around a con...
Noting the variety of methods by which the concept of economic capacity is measured and the differen...
ost Keynesian macrodynamic models make various assumptions about the normal rate of capacity utiliza...