Explore the words cloud of the FORENSICS project. It provides you a very rough idea of what is the project "FORENSICS" about.
The following table provides information about the project.
Coordinator |
UNIVERSITAET MANNHEIM
Organization address contact info |
Coordinator Country | Germany [DE] |
Project website | https://www.vwl.uni-mannheim.de/sovinsky/ |
Total cost | 1˙212˙934 € |
EC max contribution | 1˙212˙934 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2016-COG |
Funding Scheme | ERC-COG |
Starting year | 2017 |
Duration (year-month-day) | from 2017-09-01 to 2022-08-31 |
Take a look of project's partnership.
# | ||||
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1 | UNIVERSITAET MANNHEIM | DE (MANNHEIM) | coordinator | 1˙212˙934.00 |
Many markets are characterized by illicit or illegal behavior by agents. To the extent that the empirical economic framework does not incorporate these unobserved actions or control for them in estimation, the resulting models are likely to be mis-specified. Naturally, if the models do not contain all elements relevant for decision making, then predictions based on the estimates will be misleading, which could result in incorrect policy recommendations. This project directly addresses three situations in which unobserved behavior plays a crucial role. The first concerns markets where consumers engage in illicit behavior. These markets are prevalent in society as they constitute the market for illicit drugs, which is estimated at more than $300 billion per year (UN, 2012). The second concerns markets where firms make strategic decisions in the presence of an unidentified competitor - a counterfeiter, where the global value of counterfeit products rivals that of illegal drugs (OECD, 2007). The third concerns situations where firms use legal tools for illegal purposes, for which the impact is challenging to quantify and one goal of this project. In each area, the project (i) develops state-of-the-art empirical models that incorporate illicit behaviors, (ii) proposes novel estimation methods that can be used to detect illegal behavior, and (iii) provides evidence that the proposed methodology is feasible and the data are sufficient to estimate the models. Incorporating and estimating unobserved behavior in a variety of settings is an ambitious undertaking. However, it is vital as a key objective of the proposal is to provide policy makers with tangible tools that accurately reflect the unobserved nature of these markets. Given the global significance of illicit markets, the novel concepts proposed, and the focus on policy, this project has the potential to make a sizable impact, both in and beyond academia, representing an ambitious but worthwhile pursuit.
year | authors and title | journal | last update |
---|---|---|---|
2017 |
none Forensic Economics published pages: 20, ISSN: 2278-5329, DOI: |
Science and Technology Issue 25 | 2019-06-06 |
2019 |
Julian Hidalgo Forensic Econometrics: Demand Estimation when Data are Missing published pages: , ISSN: 1468-5876, DOI: |
Japanese Economic Review | 2019-04-18 |
2018 |
Bridget Hiedemann and Steven Stern Will You Still Want Me Tomorrow? The Dynamics of Families’ Long-Term Care Arrangements published pages: , ISSN: 0022-166X, DOI: |
Journal of Human Resources | 2019-04-18 |
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The information about "FORENSICS" are provided by the European Opendata Portal: CORDIS opendata.
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