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A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series
Webel, Karsten - 2022
Infra-monthly time series have increasingly appeared on the radar of official statistics in recent years, mostly as a consequence of a general digital transformation process and the outbreak of the COVID-19 pandemic in 2020. Many of those series are seasonal and thus in need for seasonal...
Persistent link: https://www.econbiz.de/10013336397
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Towards seasonal adjustment of infra-monthly time series with JDemetra+
Webel, Karsten; Smyk, Anna - 2023
Infra-monthly economic time series have become increasingly popular in official statistics in recent years. This evolution has been largely fostered by official statistics’ digital transformation during the last decade. The COVID-19 pandemic outbreak in 2020 has added fuel to the fire as many...
Persistent link: https://www.econbiz.de/10014336194
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Nonparametric regression with selectively missing covariates
Breunig, Christoph; Haan, Peter - 2019
We consider the problem of regressions with selectively observed covariates in a nonparametric framework. Our approach relies on instrumental variables that explain variation in the latent covariates but have no direct e ffect on selection. The regression function of interest is shown to be a...
Persistent link: https://www.econbiz.de/10012138698
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Semiparametric Causality Tests Using the Policy Propensity Score
Angrist, Joshua D.; Kuersteiner, Guido M. - 2021
Time series data are widely used to explore causal relationships, typically in a regression framework with lagged dependent variables. Regression-based causality tests rely on an array of functional form and distributional assumptions for valid causal inference. This paper develops a...
Persistent link: https://www.econbiz.de/10013221886
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Combining Matching and Synthetic Control to Trade Off Biases from Extrapolation and Interpolation
Kellogg, Maxwell - 2020
matching estimators exhibit the opposite behavior: they limit interpolation bias at the potential expense of extrapolation bias …. We propose combining the matching and synthetic control estimators through model averaging to create an estimator called … the SC, matching, MASC and penalized SC estimators do (and do not) perform well. Then, we use the MASC re-examine the …
Persistent link: https://www.econbiz.de/10012844744
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Matching Methods in Practice : Three Examples
Imbens, Guido W. - 2014
selection--on--observables type assumptions using matching or propensity score methods. Much of this literature is highly …
Persistent link: https://www.econbiz.de/10013057405
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Pre-Event Trends in the Panel Event-Study Design
Freyaldenhoven, Simon - 2018
We consider a linear panel event-study design in which unobserved confounds may be related both to the outcome and to the policy variable of interest. We provide sufficient conditions to identify the causal effect of the policy by exploiting covariates related to the policy only through the...
Persistent link: https://www.econbiz.de/10012920350
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A simple approximation to the average effect of the treatment on the treated in panel settings with selective enrolment
Gardner, John Ryan - In: Applied economics letters 25 (2018) 11, pp. 785-790
Persistent link: https://www.econbiz.de/10012129853
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Machine learning for treatment effect heterogeneity : recovering partial effects
Guttman, Elad; Leventer, Dor; Saporta-Eksten, Itay; … - 2023
Persistent link: https://www.econbiz.de/10014342246
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Adapting a nonparametric pooling test for use in panel cointegration models
Mishra, Ashok K.; Moss, Charles B. - In: Applied economics letters 13 (2006) 6, pp. 355-357
Persistent link: https://www.econbiz.de/10003328404