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From LATE to MTE : alternative methods for the evaluation of policy interventions

Cornelißen, Thomas; Dustmann, Christian; Raute, Anna; … - In: Labour economics : official journal of the European … 41 (2016), pp. 47-60

Persistent link: https://www.econbiz.de/10011703401

Assessing the performance of nonexperimental estimators for evaluating head start

Griffen, Andrew S.; Todd, Petra - In: Journal of labor economics 35 (2017), pp. 7-63

Persistent link: https://www.econbiz.de/10011759244

Machine learning methods for demand estimation

Bajari, Patrick L.; Nekipelov, Denis N.; Ryan, Stephen; … - In: The American economic review 105 (2015) 5, pp. 481-485

Persistent link: https://www.econbiz.de/10011699330

Forecasting with Bayesian global vector autoregressive models : a comparison of priors

Crespo Cuaresma, Jesús; Feldkircher, Martin; Huber, Florian - 2013 - This version: November 2013

This paper puts forward a Bayesian version of the global vector autoregressive model (B-GVAR) that accommodates international linkages across countries in a system of vec-tor autoregressions. We compare the predictive performance of B-GVAR models for the one- and four-quarter ahead forecast...

Persistent link: https://www.econbiz.de/10011505823