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pro vyhledávání: '"Mellace, Giovanni"'
Autor:
Di Stefano, Roberta, Mellace, Giovanni
We introduce the inclusive synthetic control method (iSCM), a modification of synthetic control methods that includes units in the donor pool potentially affected, directly or indirectly, by an intervention. This method is ideal for situations where
Externí odkaz:
http://arxiv.org/abs/2403.17624
In October 2011, Denmark introduced the world's first and, to date, only tax targeting saturated fat. However, this tax was subsequently abolished in January 2013. Leveraging exogenous variation from untaxed Northern-German consumers, we employ a dif
Externí odkaz:
http://arxiv.org/abs/2312.11481
Many econometrics textbooks imply that under mean independence of the regressors and the error term, the OLS parameters have a causal interpretation. We show that even when this assumption is satisfied, OLS might identify a pseudo-parameter that does
Externí odkaz:
http://arxiv.org/abs/2211.09502
The gray zone: How not imposing a strict lockdown at the beginning of a pandemic can cost many lives
Publikováno v:
In Labour Economics August 2024 89
The synthetic control method (SCM) allows estimating the causal effect of an intervention in settings where panel data on a small number of treated and control units are available. We show that the existing SCM, as well as its extensions, can be easi
Externí odkaz:
http://arxiv.org/abs/1909.12073
Autor:
Mellace, Giovanni, Ventura, Marco
Publikováno v:
In Economic Modelling March 2023 120
Publikováno v:
Scientific Reports. 10/31/2023, Vol. 13 Issue 1, p1-9. 9p.
WHY DO TOUGHER CASEWORKERS INCREASE EMPLOYMENT? THE ROLE OF PROGRAM ASSIGNMENT AS A CAUSAL MECHANISM
Publikováno v:
The Review of Economics and Statistics, 2017 Mar 01. 99(1), 180-183.
Externí odkaz:
https://www.jstor.org/stable/26616108
Publikováno v:
Journal of Applied Econometrics, 2017 Jan 01. 32(1), 56-79.
Externí odkaz:
https://www.jstor.org/stable/26609692
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