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Testing for overconfidence statistically: A moment inequality approach
Summary We propose a moment inequality approach to test for the presence of overconfidence using data from ranking experiments where subjects rank themselves relative to other experimental participants. Although a ranking experiment is a typical way to collect data for the analysis of overconfidence...
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Published in: | Journal of applied econometrics (Chichester, England) England), 2020-11, Vol.35 (7), p.879-892 |
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container_issue | 7 |
container_start_page | 879 |
container_title | Journal of applied econometrics (Chichester, England) |
container_volume | 35 |
creator | Jin, Yanchun Okui, Ryo |
description | Summary
We propose a moment inequality approach to test for the presence of overconfidence using data from ranking experiments where subjects rank themselves relative to other experimental participants. Although a ranking experiment is a typical way to collect data for the analysis of overconfidence, recent studies show that the resulting data may apparently indicate overconfidence even if participants are purely rational Bayesian updaters, in which case a set of inequalities hold. We apply state‐of‐the‐art tests of moment inequalities to test such a set of inequalities. We examine the data from a traditional ranking experiment as well as those from more sophisticated designs. |
doi_str_mv | 10.1002/jae.2780 |
format | article |
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We propose a moment inequality approach to test for the presence of overconfidence using data from ranking experiments where subjects rank themselves relative to other experimental participants. Although a ranking experiment is a typical way to collect data for the analysis of overconfidence, recent studies show that the resulting data may apparently indicate overconfidence even if participants are purely rational Bayesian updaters, in which case a set of inequalities hold. We apply state‐of‐the‐art tests of moment inequalities to test such a set of inequalities. We examine the data from a traditional ranking experiment as well as those from more sophisticated designs.</description><identifier>ISSN: 0883-7252</identifier><identifier>EISSN: 1099-1255</identifier><identifier>DOI: 10.1002/jae.2780</identifier><language>eng</language><publisher>Chichester: Wiley Periodicals Inc</publisher><subject>Bayesian analysis ; Business & Economics ; Data collection ; Econometrics ; Economics and Business ; Ekonomi och näringsliv ; Inequalities ; Inequality ; Mathematical Methods In Social Sciences ; Ranking ; Ratings & rankings ; selection</subject><ispartof>Journal of applied econometrics (Chichester, England), 2020-11, Vol.35 (7), p.879-892</ispartof><rights>2020 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4640-ce0e2c16fcabeb677ebc86cbe1146bb56679767418b011ed3143a06600db25093</citedby><cites>FETCH-LOGICAL-c4640-ce0e2c16fcabeb677ebc86cbe1146bb56679767418b011ed3143a06600db25093</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902,33200</link.rule.ids><backlink>$$Uhttps://gup.ub.gu.se/publication/294940$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Jin, Yanchun</creatorcontrib><creatorcontrib>Okui, Ryo</creatorcontrib><title>Testing for overconfidence statistically: A moment inequality approach</title><title>Journal of applied econometrics (Chichester, England)</title><description>Summary
We propose a moment inequality approach to test for the presence of overconfidence using data from ranking experiments where subjects rank themselves relative to other experimental participants. Although a ranking experiment is a typical way to collect data for the analysis of overconfidence, recent studies show that the resulting data may apparently indicate overconfidence even if participants are purely rational Bayesian updaters, in which case a set of inequalities hold. We apply state‐of‐the‐art tests of moment inequalities to test such a set of inequalities. We examine the data from a traditional ranking experiment as well as those from more sophisticated designs.</description><subject>Bayesian analysis</subject><subject>Business & Economics</subject><subject>Data collection</subject><subject>Econometrics</subject><subject>Economics and Business</subject><subject>Ekonomi och näringsliv</subject><subject>Inequalities</subject><subject>Inequality</subject><subject>Mathematical Methods In Social Sciences</subject><subject>Ranking</subject><subject>Ratings & rankings</subject><subject>selection</subject><issn>0883-7252</issn><issn>1099-1255</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><recordid>eNp1kE1Lw0AQhhdRsFbBnxDw4iV1drPZTbyV0vpBwUs9L7vbSU1Jk3Q3seTfu7WiJ08DMw8vz7yE3FKYUAD2sNU4YTKDMzKikOcxZWl6TkaQZUksWcouyZX3WwAQAHJEFiv0XVlvoqJxUfOJzjZ1Ua6xthj5TndluFpdVcNjNI12zQ7rLipr3Pe6Krsh0m3rGm0_rslFoSuPNz9zTN4X89XsOV6-Pb3MpsvYcsEhtgjILBWF1QaNkBKNzYQ1SCkXxqRCyFwKyWlmgFJcJ5QnGkRQXRuWQp6MSXzK9Qdse6NaV-60G1SjS7XpWxVWm155VCznOYfA3534oLnvw6tq2_SuDoqKcZElknNBA3V_oqxrvHdY_OZSUMdWVWhVHVv9EziUFQ7_cup1Ov_mvwCD4nig</recordid><startdate>202011</startdate><enddate>202011</enddate><creator>Jin, Yanchun</creator><creator>Okui, Ryo</creator><general>Wiley Periodicals Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>JQ2</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>F1U</scope></search><sort><creationdate>202011</creationdate><title>Testing for overconfidence statistically: A moment inequality approach</title><author>Jin, Yanchun ; Okui, Ryo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4640-ce0e2c16fcabeb677ebc86cbe1146bb56679767418b011ed3143a06600db25093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Bayesian analysis</topic><topic>Business & Economics</topic><topic>Data collection</topic><topic>Econometrics</topic><topic>Economics and Business</topic><topic>Ekonomi och näringsliv</topic><topic>Inequalities</topic><topic>Inequality</topic><topic>Mathematical Methods In Social Sciences</topic><topic>Ranking</topic><topic>Ratings & rankings</topic><topic>selection</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jin, Yanchun</creatorcontrib><creatorcontrib>Okui, Ryo</creatorcontrib><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Computer Science Collection</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Göteborgs universitet</collection><jtitle>Journal of applied econometrics (Chichester, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jin, Yanchun</au><au>Okui, Ryo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Testing for overconfidence statistically: A moment inequality approach</atitle><jtitle>Journal of applied econometrics (Chichester, England)</jtitle><date>2020-11</date><risdate>2020</risdate><volume>35</volume><issue>7</issue><spage>879</spage><epage>892</epage><pages>879-892</pages><issn>0883-7252</issn><eissn>1099-1255</eissn><abstract>Summary
We propose a moment inequality approach to test for the presence of overconfidence using data from ranking experiments where subjects rank themselves relative to other experimental participants. Although a ranking experiment is a typical way to collect data for the analysis of overconfidence, recent studies show that the resulting data may apparently indicate overconfidence even if participants are purely rational Bayesian updaters, in which case a set of inequalities hold. We apply state‐of‐the‐art tests of moment inequalities to test such a set of inequalities. We examine the data from a traditional ranking experiment as well as those from more sophisticated designs.</abstract><cop>Chichester</cop><pub>Wiley Periodicals Inc</pub><doi>10.1002/jae.2780</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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source | International Bibliography of the Social Sciences (IBSS); Wiley |
subjects | Bayesian analysis Business & Economics Data collection Econometrics Economics and Business Ekonomi och näringsliv Inequalities Inequality Mathematical Methods In Social Sciences Ranking Ratings & rankings selection |
title | Testing for overconfidence statistically: A moment inequality approach |
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