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Demystifying Causal Inference : Public Policy Applications with R
Dayal, Vikram; Murugesan, Anand - 2023
-- Experiments -- Matching -- Instrumental Variables -- Regression Discontinuity Design -- Panel Data and fixed effects -- Difference … packages for specific causal inference techniques like ggdag, Matching, rdrobust, dosearch etc. are used in the book. The book …, matching, panel data, difference-in-differences, regression discontinuity design, instrumental variables and meta …
Persistent link: https://www.econbiz.de/10014375030
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Estimation of higher-order spatial autoregressive panel data error component models
Badinger, Harald; Egger, Peter - 2009
This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial autoregressive disturbances, SARAR(R,S). We derive the moment conditions and optimal weighting matrix without distributional assumptions for a generalized moments (GM)...
Persistent link: https://www.econbiz.de/10003808637
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Econometric evaluation of EU Cohesion Policy : a survey
Hagen, Tobias; Mohl, Philipp - 2009
More than one third of the European Union's total budget is spent on socalled Cohesion Policy via the structural funds. Its main purpose is to promote the development of the EU and to support convergence between the levels of development of the various European regions. Investigating the impact...
Persistent link: https://www.econbiz.de/10003881569
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Does accounting for spatial effects help forecasting the growth of Chinese provinces?
Girardin, Eric; Cholodilin, Konstantin Arkadʹevič - 2009
In this paper, we make multi-step forecasts of the annual growth rates of the real GRP for each of the 31 Chinese provinces simultaneously. Beside the usual panel data models, we use panel models that explicitly account for spatial dependence between the GRP growth rates. In addition, the...
Persistent link: https://www.econbiz.de/10003889550
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Regional spillovers and spatial heterogeneity in matching workers and employers in Germany
Kosfeld, Reinhold (contributor) - 2006
uncover the effectiveness at which workers are matched to available jobs. A spatially augmented matching function is backed by … assuming the process of job matching to be homogenous across space. This study shows that this supposition is not valid for the … matching process. Spatial heterogeneity is additionally found on the level of German macroregions. Though matching efficiency …
Persistent link: https://www.econbiz.de/10003387131
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The measurement error problem in dynamic panel data analysis : modeling and GMM estimation
Biørn, Erik - 2012 - Publisert 13. feb. 2012 09:52 - Sist endret 13. feb. 2012 10:14
The Generalized Method of Moments (GMM) is discussed for handling the joint occurrence of fixed effects and random measurement errors in an autoregressive panel data model. Finite memory of disturbances, latent regressors and measurement errors is assumed. Two specializations of GMM are...
Persistent link: https://www.econbiz.de/10009489019
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Quasi maximum likelihood estimation of spatial models with heterogeneous coefficients
Aquaro, Michele; Bailey, Natalia; Pesaran, M. Hashem - 2015
This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial coefficients differ across the spatial units. It derives conditions under which the spatial coefficients are identified and develops a quasi maximum likelihood (QML) estimation...
Persistent link: https://www.econbiz.de/10011283005
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Quasi maximum likelihood estimation of spatial models with heterogeneous coefficients
Aquaro, Michele; Bailey, Natalia; Pesaran, M. Hashem - 2015
This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial coefficients differ across the spatial units. It derives conditions under which the spatial coefficients are identified and develops a quasi maximum likelihood (QML) estimation...
Persistent link: https://www.econbiz.de/10011288787
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Dynamic spatial panel models : networks, common shocks, and sequential exogeneity
Kuersteiner, Guido M.; Prucha, Ingmar R. - 2015
This paper considers a class of GMM estimators for general dynamic panel models, allowing for cross sectional dependence due to spatial lags and due to unspecified common shocks. We significantly expand the scope of the existing literature by allowing for endogenous spatial weight matrices,...
Persistent link: https://www.econbiz.de/10011298538
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The spatial random effects and the spatial fixed effects model : the Hausman test in a Cliff and Ord panel model
Mutl, Jan; Pfaffermayr, Michael - 2008
This paper studies the spatial random effects and spatial fixed effects model. The model includes a Cliff and Ord type spatial lag of the dependent variable as well as a spatially lagged one-way error component structure, accounting for both heterogeneity and spatial correlation across units. We...
Persistent link: https://www.econbiz.de/10009735353