We use a long series of annual data that span over 100 years to examine the relationship between output growth and output growth uncertainty in five European countries. Using the GARCH methodology to proxy output growth uncertainty, we obtain two important results: First, more uncertainty about output growth leads to a higher rate of output growth in three of the five countries. Second, output growth reduces output growth uncertainty in all countries except one. Our results provide strong support to the view that macroeconomists should examine the theories of economic growth and the variability of the business cycle in tandem.peer-reviewe
The paper investigates the relationship between output variability and economic growth using a GARCH...
We use a very general bivariate GARCH-M model and quarterly data for five Asian countries to test fo...
Recent empirical work finds a robust, negative cross—country relationship between growth and volatil...
We examine the empirical relationship between output variability and output growth for Britain using...
We examine the empirical relationship between output variability and output growth for Britain using...
This paper empirically investigates the relationship between long-run economic growth and output vol...
We use a very general bivariate GARCH-M model and monthly data on EU countries covering the 1962-200...
We use a very general multivariate GARCH-M model and G7 monthly data covering the 1957-2003 period t...
In this paper, we examine causal relationships between inflation rate, output growth rate, inflation...
We examine the empirical relationship between output variability and output growth using quarterly d...
This paper examines two related models, which permit analytical investiga-tion, to gain some insight...
We use a very general multivariate GARCH-Mmodel and G7 monthly data covering the 1957-2003 period to...
We use a very general bivariate GARCH-M model and EU monthly data covering the 1962-2003 period to t...
We use a bivariate generalized autoregressive conditionally heteroskedastic (GARCH) model of inflati...
We use a bivariate generalized autoregressive conditionally heteroskedastic (GARCH) model of inflati...
The paper investigates the relationship between output variability and economic growth using a GARCH...
We use a very general bivariate GARCH-M model and quarterly data for five Asian countries to test fo...
Recent empirical work finds a robust, negative cross—country relationship between growth and volatil...
We examine the empirical relationship between output variability and output growth for Britain using...
We examine the empirical relationship between output variability and output growth for Britain using...
This paper empirically investigates the relationship between long-run economic growth and output vol...
We use a very general bivariate GARCH-M model and monthly data on EU countries covering the 1962-200...
We use a very general multivariate GARCH-M model and G7 monthly data covering the 1957-2003 period t...
In this paper, we examine causal relationships between inflation rate, output growth rate, inflation...
We examine the empirical relationship between output variability and output growth using quarterly d...
This paper examines two related models, which permit analytical investiga-tion, to gain some insight...
We use a very general multivariate GARCH-Mmodel and G7 monthly data covering the 1957-2003 period to...
We use a very general bivariate GARCH-M model and EU monthly data covering the 1962-2003 period to t...
We use a bivariate generalized autoregressive conditionally heteroskedastic (GARCH) model of inflati...
We use a bivariate generalized autoregressive conditionally heteroskedastic (GARCH) model of inflati...
The paper investigates the relationship between output variability and economic growth using a GARCH...
We use a very general bivariate GARCH-M model and quarterly data for five Asian countries to test fo...
Recent empirical work finds a robust, negative cross—country relationship between growth and volatil...