Explore the words cloud of the EPP project. It provides you a very rough idea of what is the project "EPP" about.
The following table provides information about the project.
Coordinator |
UNIVERSITY COLLEGE LONDON
Organization address contact info |
Coordinator Country | United Kingdom [UK] |
Total cost | 1˙291˙064 € |
EC max contribution | 1˙291˙064 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2016-STG |
Funding Scheme | ERC-STG |
Starting year | 2017 |
Duration (year-month-day) | from 2017-02-01 to 2022-01-31 |
Take a look of project's partnership.
# | ||||
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1 | UNIVERSITY COLLEGE LONDON | UK (LONDON) | coordinator | 1˙291˙064.00 |
One of the ultimate goals of economics is to inform a policy that improves welfare. Despite that the vast amount of empirical works in economics aims to achieve this goal, the current state of the art in econometrics is silent about concrete recommendation for how to estimate the welfare maximizing policy. This project addresses statistically optimal and practically useful ways to learn the welfare-maximizing policy from data by developing novel econometric frameworks, sampling design, and estimation approaches that can be applied to a wide range of policy design problems in reality.
Development of econometric methods for optimal empirical policy design proceeds by answering the following open questions. First, given a sampling process, how do we define optimal estimation for the welfare-maximizing policy? Second, what estimation method achieves this statistical optimality? Third, how do we solve policy decision problem when the sampling process only set-identifies the social welfare criterion? Fourth, how can we integrate the sampling step and estimation step to develop a package of optimal sampling and optimal estimation procedures?
I divide the project into the following four parts. Each part is motivated by important empirical applications and has methodological challenges related to these four questions.
1) Estimation of treatment assignment policy
2) Estimation of optimal policy in other public policy applications
3) Policy design with set-identified social welfare
4) Sampling design for empirical policy design
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Toru Kitagawa, Aleksey Tetenov Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice published pages: 591-616, ISSN: 0012-9682, DOI: 10.3982/ECTA13288 |
Econometrica 86/2 | 2019-10-08 |
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The information about "EPP" are provided by the European Opendata Portal: CORDIS opendata.
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