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We develop non-parametric instrumental variable estimation and inferential theory for econometric models with possibly …
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series and estimation of time varying parameter processes by well-known rolling regression estimation techniques. We … point for further research on numerous open problems including establishing estimation results of time-varying parameters …
Persistent link: https://www.econbiz.de/10011405250
Following Giraitis, Kapetanios, and Yates (2014b), this paper uses kernel methods to estimate a seven variable time-varying (TV) vector autoregressive (VAR) model on the data set constructed by Smets and Wouters (2007). We apply an indirect inference method to map from this TV VAR to time...
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This paper elaborates on the relative importance of sectoral shocks for real economic activity in Germany. Implications of multisectoral real business cycle models are examined by resorting to testing techniques based on stock market returns. The empirical evidence is obtained by calculating...
Persistent link: https://www.econbiz.de/10011476130
An important issue in the analysis of cross-sectional dependence which has received renewed interest in the past few years is the need for a better understanding of the extent and nature of such cross dependencies. In this paper we focus on measures of cross-sectional dependence and how such...
Persistent link: https://www.econbiz.de/10009530816
An important issue in the analysis of cross-sectional dependence which has received renewed interest in the past few years is the need for a better understanding of the extent and nature of such cross dependencies. In this paper we focus on measures of cross-sectional dependence and how such...
Persistent link: https://www.econbiz.de/10009488893
Based on monthly data covering the period from 1987 to 2019, we analyse whether cross-sectional moments of stock market returns may provide information about the future position of the German business cycle. We apply in-sample forecasting regressions with and without leading indicators as...
Persistent link: https://www.econbiz.de/10013290016