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Forecasted treatment effects
Botosaru, Irene; Giacomini, Raffaella; Weidner, Martin - 2023
We consider estimation and inference about the effects of a policy in the absence of a control group. We obtain …
Persistent link: https://www.econbiz.de/10014335601
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A hybrid model of kernel density estimation and quantile regression for GEFCom2014 probabilistic load forecasting
Haben, Stephen; Giasemidis, Georgios - In: International journal of forecasting 32 (2016) 3, pp. 1017-1022
Persistent link: https://www.econbiz.de/10011621987
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Testing a Large Set of Zero Restrictions in Regression Models, with an Application to Mixed Frequency Granger Causality
Ghysels, Eric; Hill, Jonathan B.; Motegi, Kaiji - 2019
This paper proposes a new test for a large set of zero restrictions in regression models based on a seemingly overlooked, but simple, dimension reduction technique. The procedure involves multiple parsimonious regression models where key regressors are split across simple regressions. Each...
Persistent link: https://www.econbiz.de/10014036040
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Chapter 71 Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and t...
Heckman, James J.; Vytlacil, Edward J. - In: Handbook of econometrics : volume 6B, (pp. 4875-5143). 2007
marginal treatment effect. All of the estimation methods used in the applied evaluation literature, such as matching …
Persistent link: https://www.econbiz.de/10014024944
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A New Approach to Estimating Earnings Forecasting Models : Robust Regression MM-estimation
Qu, Li - 2020
This study focuses on the impact of model estimation methods on earnings forecast accuracy. Compared with an ordinary … least squares (OLS) regression combined with winsorization, robust regression MM-estimation improves the earnings forecast … robust regression MM-estimation. This study contributes to earnings forecasting, valuation, and influential observation …
Persistent link: https://www.econbiz.de/10012850667
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A new approach to estimating earnings forecasting models : robust regression MM-estimation
Li, Quan - In: International journal of forecasting 37 (2021) 2, pp. 1011-1030
Persistent link: https://www.econbiz.de/10012794782
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A frequency-domain alternative to long-horizon regressions with application to return predictability
Sizova, Natalia - In: Journal of empirical finance 28 (2014), pp. 261-272
Persistent link: https://www.econbiz.de/10011285632
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Nonparametric and semiparametric regressions subject to monotonicity constraints : estimation and forecasting
Lee, Tae-hwy; Tu, Yundong; Ullah, Aman - In: Journal of econometrics 182 (2014) 1, pp. 196-210
Persistent link: https://www.econbiz.de/10010497090
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Penalized Averaging of Parametric and Non-Parametric Quantile Forecasts
De Gooijer, Jan G. - 2019
We propose a hybrid penalized averaging for combining parametric and non-parametric quantile forecasts when faced with a large number of predictors. This approach goes beyond the usual practice of combining conditional mean forecasts from parametric time series models with only a few predictors....
Persistent link: https://www.econbiz.de/10012859663
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Tales of tails : jumps in currency markets
Lee, Suzanne S.; Wang, Minho - In: Journal of financial markets 48 (2020), pp. 1-29
Persistent link: https://www.econbiz.de/10012631807