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We consider a class of panel tests covering tests for the null hypothesis of no cointegration as well as cointegration … intercept only" are not correct. It is demonstrated that their usage results in size distortions growing with the panel size N …
Persistent link: https://www.econbiz.de/10013043027
We propose a new estimator for average causal effects of a binary treatment with panel data in settings with general …
Persistent link: https://www.econbiz.de/10015190081
This paper proposes a new panel data approach to identify and estimate the time-varying average treatment effect (ATE … type of heterogeneity, existing panel data approaches identify the ATE for limited subpopulations only. In contrast, the …
Persistent link: https://www.econbiz.de/10014104396
Granger and Sims non-causality (GSNC) are compared to non-causality based on concepts popular in the microeconometrics and programme evaluation literature (potential outcome non-causality, PONC). GSNC is defined as a set of restrictions on joint distributions of random variables with observable...
Persistent link: https://www.econbiz.de/10012727017
Inference for estimates of treatment effects with clustered data requires great care when treatment is assigned at the group level. This is true for both pure treatment models and difference-in-differences regressions. Even when the number of clusters is quite large, cluster-robust standard...
Persistent link: https://www.econbiz.de/10011722291
We consider a linear panel event-study design in which unobserved confounds may be related both to the outcome and to …
Persistent link: https://www.econbiz.de/10012849027
This paper proposes a score-driven model for filtering time-varying causal parameters through the use of instrumental variables. In the presence of suitable instruments, we show that we can uncover dynamic causal relations between variables, even in the presence of regressor endogeneity which...
Persistent link: https://www.econbiz.de/10014496538
a high‐dimensional parameter in both homogeneous cross‐sectional and unit‐heterogeneous dynamic panel data settings. In … dependent time series and panel data. This method "leaves out the neighbors" when fitting nuisance components, and we …‐dimensional. In heterogeneous panel data settings, we model the unobserved unit heterogeneity as a weakly sparse deviation from …
Persistent link: https://www.econbiz.de/10014308573
Persistent link: https://www.econbiz.de/10011398114
Persistent link: https://www.econbiz.de/10011289535