framework for analyzing tax effects on changes in capital stock. In particular I estimate a one-step error correction model (ECM …) complementing the usual estimation of a distributed lag model. A correction term accounts for non-random sample attrition, which has … incomplete. Both, ECM and distributed lag model, suggest that user cost of capital and output have an economically and …

framework for analyzing tax effects on changes in capital stock. In particular I estimate a one-step error correction model (ECM …) complementing the usual estimation of a distributed lag model. A correction term accounts for non-random sample attrition, which has … incomplete. Both, ECM and distributed lag model, suggest that user cost of capital and output have an economically and …

framework for analyzing tax effects on changes in capital stock. In particular I estimate a one-step error correction model (ECM …) complementing the usual estimation of a distributed lag model. A correction term accounts for non-random sample attrition, which has … incomplete. Both, ECM and distributed lag model, suggest that user cost of capital and output have an economically and …

important, long-run estimates of key parameters are less biased - and the details of the econometrics matter. In particular … ; adjustment frictions ; cointegration and long-run econometrics …

) and Kapetanios et al. (Journal of Econometrics, 2011), our empirical strategy allows for cross-sectionally correlated …

to a standard investment model (Jorgensen, 1967), we find these indicators to be highly significant. This is interesting …

1. General Introduction -- 2. Dynamics in Econometrics -- 3. Estimating the Model -- 4. Testing the Model -- 5. Non …-Stationarity and Cointegration -- 6. Specifying the ARDL Model -- 7. Vector Autoregressions -- 8. Panel Data Models -- 9. Non …-Stationary Panels -- 10. The Binary Qualitative Model. …