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Representation of cointegrated autoregressive processes with application to fractional processes
Johansen, Søren - In: Econometric reviews 28 (2009) 1/3, pp. 121-145
Persistent link: https://www.econbiz.de/10003800708
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Estimation bias and bias correction in reduced rank autoregressions
Bohn Nielsen, Heino - In: Econometric reviews 38 (2019) 3, pp. 332-349
Persistent link: https://www.econbiz.de/10012181296
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Quasi-likelihood ratio tests for cointegration, cobreaking, and cotrending
Carrion i Silvestre, Josep Lluís; Kim, Dukpa - In: Econometric reviews 38 (2019) 8, pp. 881-898
Persistent link: https://www.econbiz.de/10012181371
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Some theoretical and simulation results on the frequency domain causality test
Yamada, Hiroshi; Yanfeng, Wei - In: Econometric reviews 33 (2014) 8, pp. 936-947
Persistent link: https://www.econbiz.de/10010363871
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Empirical likelihood in causal inference
Zhang, Biao - In: Econometric reviews 35 (2016) 1/4, pp. 201-231
Persistent link: https://www.econbiz.de/10011549910
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Understanding estimators of treatment effects in regression discontinuity designs
Yu, Ping - In: Econometric reviews 35 (2016) 1/4, pp. 586-637
Persistent link: https://www.econbiz.de/10011550079
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Estimation of average treatment effect based on a semiparametric propensity score
Sun, Yu; Yan, Karen X.; Li, Qi - In: Econometric reviews 40 (2021) 9, pp. 852-866
Persistent link: https://www.econbiz.de/10012624542
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Identification and estimation of average causal effects when treatment status is ignorable within unobserved strata
Gardner, John - In: Econometric reviews 39 (2020) 10, pp. 1014-1041
Persistent link: https://www.econbiz.de/10012406205
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Alternative diff-in-diffs estimators with several pretreatment periods
Mora Villarrubia, Ricardo; Reggio, Iliana - In: Econometric reviews 38 (2019) 5, pp. 465-486
Persistent link: https://www.econbiz.de/10012181322
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Inference on local average treatment effects for misclassified treatment
Yanagi, Takahide - In: Econometric reviews 38 (2019) 8, pp. 938-960
Persistent link: https://www.econbiz.de/10012181375