Demand estimation with infrequent purchases and small market sizes

We propose a demand estimation method that allows for a large number of zerosale observations, rich unobserved heterogeneity, and endogenous prices. We do so by modeling small market sizes through Poisson arrivals. Each of these arriving consumers solves a standard discrete choice problem. We presen...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Quantitative economics 2023-11, Vol.14 (4), p.1251-1294
Hauptverfasser: Hortaçsu, Ali, Natan, Olivia R, Parsley, Hayden, Schwieg, Timothy, Williams, Kevin R
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1294
container_issue 4
container_start_page 1251
container_title Quantitative economics
container_volume 14
creator Hortaçsu, Ali
Natan, Olivia R
Parsley, Hayden
Schwieg, Timothy
Williams, Kevin R
description We propose a demand estimation method that allows for a large number of zerosale observations, rich unobserved heterogeneity, and endogenous prices. We do so by modeling small market sizes through Poisson arrivals. Each of these arriving consumers solves a standard discrete choice problem. We present a Bayesian IV estimation approach that addresses sampling error in product shares and scales well to rich data environments. The data requirements are traditional market-level data as well as a measure of market sizes or consumer arrivals. After presenting simulation studies, we demonstrate the method in an empirical application of air travel demand.
doi_str_mv 10.3982/QE2147
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2890752983</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2890752983</sourcerecordid><originalsourceid>FETCH-LOGICAL-c395t-3aa6f85c18bb980e928d405bb9abd2ce6b70050c2f5a327d6301ffda9471fef83</originalsourceid><addsrcrecordid>eNpVkNtKAzEQhoMoWGp9AyEgeLeaw2aTXGqtByiIoNchm03o1u5uzaSIPr0pK6hz888wH3P4ETql5JJrxa6eF4yW8gBNqBS6kJzTwz_5MZoBrEkOrlQl6QTd3PrO9g32kNrOpnbo8UebVrjtQ_TvO98nvN1Ft7LgAe9B6Oxmgzsb33zC0H55OEFHwW7Az350il7vFi_zh2L5dP84v14WjmuRCm5tFZRwVNW1VsRrppqSiFzYumHOV7UkRBDHgrCcyabihIbQWF1KGnxQfIrOx7nbOOTLIJn1sIt9XmmY0kQKphXP1MVIuTgARB_MNubP4qehxOwtMqNFGcQj6N3Qt_CLKVUSRRgXGTn7h-wF0hAN01Vu82-kiWxT</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2890752983</pqid></control><display><type>article</type><title>Demand estimation with infrequent purchases and small market sizes</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Business Source Complete</source><source>Access via Wiley Online Library</source><source>Wiley Free Content</source><source>Wiley Online Library (Open Access Collection)</source><creator>Hortaçsu, Ali ; Natan, Olivia R ; Parsley, Hayden ; Schwieg, Timothy ; Williams, Kevin R</creator><creatorcontrib>Hortaçsu, Ali ; Natan, Olivia R ; Parsley, Hayden ; Schwieg, Timothy ; Williams, Kevin R</creatorcontrib><description>We propose a demand estimation method that allows for a large number of zerosale observations, rich unobserved heterogeneity, and endogenous prices. We do so by modeling small market sizes through Poisson arrivals. Each of these arriving consumers solves a standard discrete choice problem. We present a Bayesian IV estimation approach that addresses sampling error in product shares and scales well to rich data environments. The data requirements are traditional market-level data as well as a measure of market sizes or consumer arrivals. After presenting simulation studies, we demonstrate the method in an empirical application of air travel demand.</description><identifier>ISSN: 1759-7331</identifier><identifier>ISSN: 1759-7323</identifier><identifier>EISSN: 1759-7331</identifier><identifier>DOI: 10.3982/QE2147</identifier><language>eng</language><publisher>New Haven, CT: The Econometric Society</publisher><subject>Air travel ; airline markets ; Airlines ; Bayesian analysis ; Bayesian methods ; Bias ; Consumers ; demand estimation ; Discrete choice ; Discrete choice modeling ; Econometrics ; Endogenous ; Estimates ; Market shares ; Price elasticity ; Prices ; Sales ; Sampling error ; Simulation ; Willingness to pay ; zero-sale observations</subject><ispartof>Quantitative economics, 2023-11, Vol.14 (4), p.1251-1294</ispartof><rights>2023. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c395t-3aa6f85c18bb980e928d405bb9abd2ce6b70050c2f5a327d6301ffda9471fef83</citedby><cites>FETCH-LOGICAL-c395t-3aa6f85c18bb980e928d405bb9abd2ce6b70050c2f5a327d6301ffda9471fef83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27924,27925</link.rule.ids></links><search><creatorcontrib>Hortaçsu, Ali</creatorcontrib><creatorcontrib>Natan, Olivia R</creatorcontrib><creatorcontrib>Parsley, Hayden</creatorcontrib><creatorcontrib>Schwieg, Timothy</creatorcontrib><creatorcontrib>Williams, Kevin R</creatorcontrib><title>Demand estimation with infrequent purchases and small market sizes</title><title>Quantitative economics</title><description>We propose a demand estimation method that allows for a large number of zerosale observations, rich unobserved heterogeneity, and endogenous prices. We do so by modeling small market sizes through Poisson arrivals. Each of these arriving consumers solves a standard discrete choice problem. We present a Bayesian IV estimation approach that addresses sampling error in product shares and scales well to rich data environments. The data requirements are traditional market-level data as well as a measure of market sizes or consumer arrivals. After presenting simulation studies, we demonstrate the method in an empirical application of air travel demand.</description><subject>Air travel</subject><subject>airline markets</subject><subject>Airlines</subject><subject>Bayesian analysis</subject><subject>Bayesian methods</subject><subject>Bias</subject><subject>Consumers</subject><subject>demand estimation</subject><subject>Discrete choice</subject><subject>Discrete choice modeling</subject><subject>Econometrics</subject><subject>Endogenous</subject><subject>Estimates</subject><subject>Market shares</subject><subject>Price elasticity</subject><subject>Prices</subject><subject>Sales</subject><subject>Sampling error</subject><subject>Simulation</subject><subject>Willingness to pay</subject><subject>zero-sale observations</subject><issn>1759-7331</issn><issn>1759-7323</issn><issn>1759-7331</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpVkNtKAzEQhoMoWGp9AyEgeLeaw2aTXGqtByiIoNchm03o1u5uzaSIPr0pK6hz888wH3P4ETql5JJrxa6eF4yW8gBNqBS6kJzTwz_5MZoBrEkOrlQl6QTd3PrO9g32kNrOpnbo8UebVrjtQ_TvO98nvN1Ft7LgAe9B6Oxmgzsb33zC0H55OEFHwW7Az350il7vFi_zh2L5dP84v14WjmuRCm5tFZRwVNW1VsRrppqSiFzYumHOV7UkRBDHgrCcyabihIbQWF1KGnxQfIrOx7nbOOTLIJn1sIt9XmmY0kQKphXP1MVIuTgARB_MNubP4qehxOwtMqNFGcQj6N3Qt_CLKVUSRRgXGTn7h-wF0hAN01Vu82-kiWxT</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Hortaçsu, Ali</creator><creator>Natan, Olivia R</creator><creator>Parsley, Hayden</creator><creator>Schwieg, Timothy</creator><creator>Williams, Kevin R</creator><general>The Econometric Society</general><general>John Wiley &amp; Sons, Inc</general><scope>OT2</scope><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8BJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FRNLG</scope><scope>F~G</scope><scope>JBE</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20231101</creationdate><title>Demand estimation with infrequent purchases and small market sizes</title><author>Hortaçsu, Ali ; Natan, Olivia R ; Parsley, Hayden ; Schwieg, Timothy ; Williams, Kevin R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c395t-3aa6f85c18bb980e928d405bb9abd2ce6b70050c2f5a327d6301ffda9471fef83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Air travel</topic><topic>airline markets</topic><topic>Airlines</topic><topic>Bayesian analysis</topic><topic>Bayesian methods</topic><topic>Bias</topic><topic>Consumers</topic><topic>demand estimation</topic><topic>Discrete choice</topic><topic>Discrete choice modeling</topic><topic>Econometrics</topic><topic>Endogenous</topic><topic>Estimates</topic><topic>Market shares</topic><topic>Price elasticity</topic><topic>Prices</topic><topic>Sales</topic><topic>Sampling error</topic><topic>Simulation</topic><topic>Willingness to pay</topic><topic>zero-sale observations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hortaçsu, Ali</creatorcontrib><creatorcontrib>Natan, Olivia R</creatorcontrib><creatorcontrib>Parsley, Hayden</creatorcontrib><creatorcontrib>Schwieg, Timothy</creatorcontrib><creatorcontrib>Williams, Kevin R</creatorcontrib><collection>EconStor</collection><collection>ECONIS</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Quantitative economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hortaçsu, Ali</au><au>Natan, Olivia R</au><au>Parsley, Hayden</au><au>Schwieg, Timothy</au><au>Williams, Kevin R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Demand estimation with infrequent purchases and small market sizes</atitle><jtitle>Quantitative economics</jtitle><date>2023-11-01</date><risdate>2023</risdate><volume>14</volume><issue>4</issue><spage>1251</spage><epage>1294</epage><pages>1251-1294</pages><issn>1759-7331</issn><issn>1759-7323</issn><eissn>1759-7331</eissn><abstract>We propose a demand estimation method that allows for a large number of zerosale observations, rich unobserved heterogeneity, and endogenous prices. We do so by modeling small market sizes through Poisson arrivals. Each of these arriving consumers solves a standard discrete choice problem. We present a Bayesian IV estimation approach that addresses sampling error in product shares and scales well to rich data environments. The data requirements are traditional market-level data as well as a measure of market sizes or consumer arrivals. After presenting simulation studies, we demonstrate the method in an empirical application of air travel demand.</abstract><cop>New Haven, CT</cop><pub>The Econometric Society</pub><doi>10.3982/QE2147</doi><tpages>44</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1759-7331
ispartof Quantitative economics, 2023-11, Vol.14 (4), p.1251-1294
issn 1759-7331
1759-7323
1759-7331
language eng
recordid cdi_proquest_journals_2890752983
source DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Business Source Complete; Access via Wiley Online Library; Wiley Free Content; Wiley Online Library (Open Access Collection)
subjects Air travel
airline markets
Airlines
Bayesian analysis
Bayesian methods
Bias
Consumers
demand estimation
Discrete choice
Discrete choice modeling
Econometrics
Endogenous
Estimates
Market shares
Price elasticity
Prices
Sales
Sampling error
Simulation
Willingness to pay
zero-sale observations
title Demand estimation with infrequent purchases and small market sizes
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T01%3A56%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Demand%20estimation%20with%20infrequent%20purchases%20and%20small%20market%20sizes&rft.jtitle=Quantitative%20economics&rft.au=Horta%C3%A7su,%20Ali&rft.date=2023-11-01&rft.volume=14&rft.issue=4&rft.spage=1251&rft.epage=1294&rft.pages=1251-1294&rft.issn=1759-7331&rft.eissn=1759-7331&rft_id=info:doi/10.3982/QE2147&rft_dat=%3Cproquest_cross%3E2890752983%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2890752983&rft_id=info:pmid/&rfr_iscdi=true