Showing 1 - 10 of 35
Persistent link: https://www.econbiz.de/10003938657
What does the saving-investment (SI) relation really measure and how should the (SI) relation be measured? These are two of the most discussed issues triggered by the so called Feldstein-Horioka puzzle. Based on panel data we introduce a new variant of functional coefficient models that allow to...
Persistent link: https://www.econbiz.de/10003477959
We introduce a new, factor based bootstrap approach which is robust under heteroskedastic error terms for inference in functional coefficient models. Modeling the functional coefficient parametrically, the bootstrap approximation of an F statistic is shown to hold asymptotically. In simulation...
Persistent link: https://www.econbiz.de/10003477963
To infer on functional dependence of regression parameters, a new, factor based bootstrap approach is introduced that is robust under various forms of heteroskedastic error terms. Modeling the functional coefficient parametrically, the bootstrap approximation of an F-statistic is shown to hold...
Persistent link: https://www.econbiz.de/10013154593
What does the saving-investment (SI) relation really measure and how should the SI relation be measured? These are two of the most discussed issues triggered by the so called Feldstein-Horioka puzzle. Based on panel data we introduce a new variant of functional coefficient models that allows to...
Persistent link: https://www.econbiz.de/10013159487
Persistent link: https://www.econbiz.de/10003900236
Persistent link: https://www.econbiz.de/10003961278
Persistent link: https://www.econbiz.de/10009547180
For forecasting and economic analysis many variables are used in logarithms (logs). In time series analysis this transformation is often considered to stabilize the variance of a series. We investigate under which conditions taking logs is beneficial for forecasting. Forecasts based on the...
Persistent link: https://www.econbiz.de/10012764276
For forecasting and economic analysis many variables are used in logarithms (logs). In time series analysis this transformation is often considered to stabilize the variance of a series. We investigate under which conditions taking logs is beneficial for forecasting. Forecasts based on the...
Persistent link: https://www.econbiz.de/10013154586