Opendata, web and dolomites

EDWEL SIGNED

Empirical Demand and Welfare Analysis

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 EDWEL project word cloud

Explore the words cloud of the EDWEL project. It provides you a very rough idea of what is the project "EDWEL" about.

substantial    purchase    calculation    emphasis    alternatives    policies    environmental    settings    rely    passengers    potentially    damage    policy    college    readily    previously    hikes    formulation    underlying    evaluation    welfare    extreme    merger    setting    contributions    empirical    coefficient    reporting    unsubstantiated    stata    channels    viewers    ubiquity    utilities    researched    multinomial    quality    regulation    ordered    income    peers    tv    regarding    theoretical    situations    price    overcome    valued    nonparametric    tax    random    unexplored    fare    errors    tuition    underlies    data    exclusive    discrete    life    fundamental    situation    incorrect    micro    indices    complemented    endogeneity    evaluations    models    estimates    central    economic    academia    codes    durable    academic    measurement    subsidies    driving    assumptions    impacts    software    undertakings    calculations    quasilinear    dynamic    cover    entrants    restrictive    preferences    interval    preference    industrial    practitioners   

Project "EDWEL" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE 

Organization address
address: TRINITY LANE THE OLD SCHOOLS
city: CAMBRIDGE
postcode: CB2 1TN
website: www.cam.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website https://sites.google.com/site/debobhatta/erc-grant-edwel
 Total cost 1˙426˙418 €
 EC max contribution 1˙426˙418 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-CoG
 Funding Scheme ERC-COG
 Starting year 2016
 Duration (year-month-day) from 2016-10-01   to  2021-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE UK (CAMBRIDGE) coordinator 1˙426˙418.00

Map

 Project objective

Measurement of consumer welfare is central to economic evaluations. It underlies calculation of price-indices, formulation of tax policies, and environmental and industrial regulation. But existing measurement methods rely on restrictive assumptions about consumer preferences, leading to potentially incorrect conclusions regarding policy-impacts. The proposed project aims to make fundamental contributions to empirical welfare analysis by developing nonparametric approaches, which would avoid such assumptions and thus produce reliable welfare estimates from micro-data. The emphasis will be on welfare-evaluation of price/quality changes in the under-researched but common real-life setting of discrete-choice, e.g., the impact of tuition subsidies for college entrants, fare-hikes for passengers and access to new channels for TV viewers. The project will cover (i) discrete choice with multinomial/ordered/non-exclusive alternatives, (ii) random coefficient choice-models, (iii) settings where one’s choice affects one’s peers’ utilities, and (iv) dynamic choice under uncertainty such as durable-purchase. Welfare analyses in situations (ii)-(iv) are previously unexplored problems and represent ambitious undertakings. Situation (i) has been analyzed only under strong, unsubstantiated assumptions, like quasilinear preferences and extreme valued errors. The key insight driving the project is that welfare calculations require less information than what is needed to identify underlying preference parameters. The project will also develop methods to overcome common data problems like interval-reporting and endogeneity of income. The theoretical results will be complemented by software codes in Stata/R which can be readily used by practitioners. Given the ubiquity of welfare analysis in economic applications and its use in non-academic settings such as merger-analysis, damage calculations, etc., the project is likely to have a substantial impact both in and beyond the academia.

 Publications

year authors and title journal last update
List of publications.
2019 Debopam Bhattacharya, University of Cambridge Pascaline Dupas, Stanford University Shin Kanaya, University of Aarhus
Demand and Welfare Analysis in Discrete Choice Models with Social Interactions
published pages: , ISSN: , DOI:
Working paper 2020-03-06
2019 Debopam Bhattacharya, University of Cambridge Anders Kjelsrud, University of Oslo Rohini Somanathan, Delhi School of Economics
Estimating the welfare gains from public schools in rural India
published pages: , ISSN: , DOI:
Working Paper 2020-03-06
2019 Ying-Ying Lee, Debopam Bhattacharya
Applied welfare analysis for discrete choice with interval-data on income
published pages: 361-387, ISSN: 0304-4076, DOI: 10.1016/j.jeconom.2019.02.007
Journal of Econometrics 211/2 2020-01-22
2018 Debopam Bhattacharya
Empirical welfare analysis for discrete choice: Some general results
published pages: 571-615, ISSN: 1759-7323, DOI: 10.3982/qe931
Quantitative Economics 9/2 2020-01-22

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "EDWEL" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "EDWEL" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

TechChild (2019)

Just because we can, should we? An anthropological perspective on the initiation of technology dependence to sustain a child’s life

Read More  

FatVirtualBiopsy (2020)

MRI toolkit for in vivo fat virtual biopsy

Read More  

MITOvTOXO (2020)

Understanding how mitochondria compete with Toxoplasma for nutrients to defend the host cell

Read More