Explore the words cloud of the DYNAMICSS project. It provides you a very rough idea of what is the project "DYNAMICSS" about.
The following table provides information about the project.
Coordinator |
LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
Organization address contact info |
Coordinator Country | United Kingdom [UK] |
Project website | http://sticerd.lse.ac.uk/_new/research/pep/consumption/default.asp |
Total cost | 1˙049˙855 € |
EC max contribution | 1˙049˙855 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2015-STG |
Funding Scheme | ERC-STG |
Starting year | 2016 |
Duration (year-month-day) | from 2016-03-01 to 2021-02-28 |
Take a look of project's partnership.
# | ||||
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1 | LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE | UK (LONDON) | coordinator | 1˙049˙855.00 |
From pension reforms to UI extensions, the optimal tax and program design literature is often ill-equipped to provide clear guidance in policy debates on the reform of social insurance and tax-and-benefit systems. The reason is that this literature is mostly focused on static settings, while these programs are inherently dynamic: they specify a schedule of tax and benefits that is time or state dependent and they affect individuals’ decisions throughout their lifetime. DYNAMICSS will offer a simple and general approach to the analysis of optimal dynamic policies that connects to the data. The key idea of DYNAMICSS is to extend the sufficient statistics (SS) approach to dynamic settings and characterize the full time profile, rather than the average generosity, of social insurance and transfer policies. By expressing optimal policy as a function of a limited set of statistics, the SS approach has the advantage of making clear the trade-offs implied in optimal tax or benefit formulae and of tightly integrating the theory and the empirics of optimal policy analysis, to offer robust policy guidance. DYNAMICSS will use unique administrative data and cutting-edge econometric techniques to exploit compelling variations in policy profiles and offer significant contributions to the empirical analysis of dynamic behavioural responses to policies. A central contribution will be to create a unique measure of consumption expenditures based on leveraging complete administrative information on income, transfers and wealth to offer ground-breaking evidence of the effect of social insurance on consumption dynamics. Part I will use and extend the SS framework to analyse the optimal time profile of UI benefits. Part II will develop this approach for analysing the optimal design of retirement pension systems. Part III will address optimal family policies with a focus on understanding the different dynamics of men and women in the labour market, and exploring the role of cultural norm
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Jonas Kolsrud, Camille Landais, Peter Nilsson, Johannes Spinnewijn The Optimal Timing of Unemployment Benefits: Theory and Evidence from Sweden published pages: 985-1033, ISSN: 0002-8282, DOI: 10.1257/aer.20160816 |
American Economic Review 108/4-5 | 2019-09-02 |
2017 |
Henrik Kleven, Camille Landais Gender Inequality and Economic Development: Fertility, Education and Norms published pages: 180-209, ISSN: 0013-0427, DOI: 10.1111/ecca.12230 |
Economica 84/334 | 2019-09-02 |
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The information about "DYNAMICSS" are provided by the European Opendata Portal: CORDIS opendata.
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