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The literature that tests for U-shaped relationships using panel data, such as those between pollution and income or inequality and growth, reports widely divergent (parametric and non-parametric) empirical findings. We explain why lack of identification lies at the root of these differences. To...
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This paper proposes a time-weighted difference-in-differences (TWDID) estimation approach that is robust against … DID estimation through balancing the pre-treatment and post-treatment unobserved common factors. To conduct valid … estimation uncertainty. Revisiting a study on the effect of a cap-and-trade program on NOx emissions, TWDID estimation reduces …
Persistent link: https://www.econbiz.de/10013540632
The econometrics literature proposed several new causal machine learning methods (CML) in the past few years. These methods harness the strength of machine learning methods to flexibly model the relationship between the treatment, outcome and confounders, while providing valid inferential...
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suggested by new growth theory, while addressing the variable selection problem by means of Bayesian model averaging …. Controlling for variable selection uncertainty, we confirm the evidence in favor of new growth theory presented in several earlier …
Persistent link: https://www.econbiz.de/10011382708
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
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-intensity of the workers' own occupation in 1979. The estimation procedure rests on the assumption that the two instruments are …
Persistent link: https://www.econbiz.de/10012591251