Welfare measurement with income-dependent discrete choice

•The expectation of the compensating variation is standard for measuring welfare with discrete choice.•The expectation of the equivalent variation is equally founded theoretically.•One-dimensional integrals provide both measures. The expectation of the random compensating variation is the welfare ch...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Economics letters 2024-12, Vol.245, p.112051, Article 112051
Hauptverfasser: Delle Site, P., Kilani, K.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page 112051
container_title Economics letters
container_volume 245
creator Delle Site, P.
Kilani, K.
description •The expectation of the compensating variation is standard for measuring welfare with discrete choice.•The expectation of the equivalent variation is equally founded theoretically.•One-dimensional integrals provide both measures. The expectation of the random compensating variation is the welfare change measure that is used in discrete choice models. The expectation of the equivalent variation is equally founded theoretically. When choices are income independent and income enters utilities linearly, the two measures are identical. The case of income-dependent choices remains an area for exploration. The paper provides the equivalent variation counterparts of the formulas that are available for the expectation of the compensating variation.
doi_str_mv 10.1016/j.econlet.2024.112051
format Article
fullrecord <record><control><sourceid>elsevier_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_04766610v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0165176524005354</els_id><sourcerecordid>S0165176524005354</sourcerecordid><originalsourceid>FETCH-LOGICAL-c221t-30cac5aaef5a3d2a9b8e0e2c7bd90e060e806a12f939c868d4b45e0c19d693bd3</originalsourceid><addsrcrecordid>eNqFkE9LxDAQxXNQcF39CEKvHlonaZM2J1kWdYUFL4rHkE6mbJb-WZK64re3SxevngbevPfg_Ri745Bx4OphnxEOfUtjJkAUGecCJL9gi-knU14qecWuY9wDcKFLuWD6k9rGBko6svErUEf9mHz7cZf4HoeOUkcH6t1JdT5ioJES3A0e6YZdNraNdHu-S_bx_PS-3qTbt5fX9WqbohB8THNAi9JaaqTNnbC6rghIYFk7DQQKqAJluWh0rrFSlSvqQhIg107pvHb5kt3PvTvbmkPwnQ0_ZrDebFZbc9KgKJVSHI588srZi2GIMVDzF-BgTnzM3pz5mBMfM_OZco9zjqYhR0_BRPTUIzkfCEfjBv9Pwy8XY3Mf</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Welfare measurement with income-dependent discrete choice</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Delle Site, P. ; Kilani, K.</creator><creatorcontrib>Delle Site, P. ; Kilani, K.</creatorcontrib><description>•The expectation of the compensating variation is standard for measuring welfare with discrete choice.•The expectation of the equivalent variation is equally founded theoretically.•One-dimensional integrals provide both measures. The expectation of the random compensating variation is the welfare change measure that is used in discrete choice models. The expectation of the equivalent variation is equally founded theoretically. When choices are income independent and income enters utilities linearly, the two measures are identical. The case of income-dependent choices remains an area for exploration. The paper provides the equivalent variation counterparts of the formulas that are available for the expectation of the compensating variation.</description><identifier>ISSN: 0165-1765</identifier><identifier>DOI: 10.1016/j.econlet.2024.112051</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Compensating variation ; Discrete choice ; Equivalent variation ; Quantitative Finance ; Random utility ; Welfare</subject><ispartof>Economics letters, 2024-12, Vol.245, p.112051, Article 112051</ispartof><rights>2024 Elsevier B.V.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c221t-30cac5aaef5a3d2a9b8e0e2c7bd90e060e806a12f939c868d4b45e0c19d693bd3</cites><orcidid>0000-0002-4057-1858</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.econlet.2024.112051$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://cnam.hal.science/hal-04766610$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Delle Site, P.</creatorcontrib><creatorcontrib>Kilani, K.</creatorcontrib><title>Welfare measurement with income-dependent discrete choice</title><title>Economics letters</title><description>•The expectation of the compensating variation is standard for measuring welfare with discrete choice.•The expectation of the equivalent variation is equally founded theoretically.•One-dimensional integrals provide both measures. The expectation of the random compensating variation is the welfare change measure that is used in discrete choice models. The expectation of the equivalent variation is equally founded theoretically. When choices are income independent and income enters utilities linearly, the two measures are identical. The case of income-dependent choices remains an area for exploration. The paper provides the equivalent variation counterparts of the formulas that are available for the expectation of the compensating variation.</description><subject>Compensating variation</subject><subject>Discrete choice</subject><subject>Equivalent variation</subject><subject>Quantitative Finance</subject><subject>Random utility</subject><subject>Welfare</subject><issn>0165-1765</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkE9LxDAQxXNQcF39CEKvHlonaZM2J1kWdYUFL4rHkE6mbJb-WZK64re3SxevngbevPfg_Ri745Bx4OphnxEOfUtjJkAUGecCJL9gi-knU14qecWuY9wDcKFLuWD6k9rGBko6svErUEf9mHz7cZf4HoeOUkcH6t1JdT5ioJES3A0e6YZdNraNdHu-S_bx_PS-3qTbt5fX9WqbohB8THNAi9JaaqTNnbC6rghIYFk7DQQKqAJluWh0rrFSlSvqQhIg107pvHb5kt3PvTvbmkPwnQ0_ZrDebFZbc9KgKJVSHI588srZi2GIMVDzF-BgTnzM3pz5mBMfM_OZco9zjqYhR0_BRPTUIzkfCEfjBv9Pwy8XY3Mf</recordid><startdate>20241201</startdate><enddate>20241201</enddate><creator>Delle Site, P.</creator><creator>Kilani, K.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-4057-1858</orcidid></search><sort><creationdate>20241201</creationdate><title>Welfare measurement with income-dependent discrete choice</title><author>Delle Site, P. ; Kilani, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c221t-30cac5aaef5a3d2a9b8e0e2c7bd90e060e806a12f939c868d4b45e0c19d693bd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Compensating variation</topic><topic>Discrete choice</topic><topic>Equivalent variation</topic><topic>Quantitative Finance</topic><topic>Random utility</topic><topic>Welfare</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Delle Site, P.</creatorcontrib><creatorcontrib>Kilani, K.</creatorcontrib><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Economics letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Delle Site, P.</au><au>Kilani, K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Welfare measurement with income-dependent discrete choice</atitle><jtitle>Economics letters</jtitle><date>2024-12-01</date><risdate>2024</risdate><volume>245</volume><spage>112051</spage><pages>112051-</pages><artnum>112051</artnum><issn>0165-1765</issn><abstract>•The expectation of the compensating variation is standard for measuring welfare with discrete choice.•The expectation of the equivalent variation is equally founded theoretically.•One-dimensional integrals provide both measures. The expectation of the random compensating variation is the welfare change measure that is used in discrete choice models. The expectation of the equivalent variation is equally founded theoretically. When choices are income independent and income enters utilities linearly, the two measures are identical. The case of income-dependent choices remains an area for exploration. The paper provides the equivalent variation counterparts of the formulas that are available for the expectation of the compensating variation.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.econlet.2024.112051</doi><orcidid>https://orcid.org/0000-0002-4057-1858</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0165-1765
ispartof Economics letters, 2024-12, Vol.245, p.112051, Article 112051
issn 0165-1765
language eng
recordid cdi_hal_primary_oai_HAL_hal_04766610v1
source Elsevier ScienceDirect Journals Complete
subjects Compensating variation
Discrete choice
Equivalent variation
Quantitative Finance
Random utility
Welfare
title Welfare measurement with income-dependent discrete choice
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T11%3A53%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Welfare%20measurement%20with%20income-dependent%20discrete%20choice&rft.jtitle=Economics%20letters&rft.au=Delle%20Site,%20P.&rft.date=2024-12-01&rft.volume=245&rft.spage=112051&rft.pages=112051-&rft.artnum=112051&rft.issn=0165-1765&rft_id=info:doi/10.1016/j.econlet.2024.112051&rft_dat=%3Celsevier_hal_p%3ES0165176524005354%3C/elsevier_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_els_id=S0165176524005354&rfr_iscdi=true