Bayesian semiparametric quantile regression modeling for estimating earthquake fatality risk
This paper develops a Bayesian semiparametric quantile regression model for count data. The count responses are converted to continuous responses through the “jittered” method and a transform function. A Bayesian semiparametric quantile regression modeling approach is then developed. The error distr...
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| Veröffentlicht in: | Empirical economics 2020-05, Vol.58 (5), p.2085-2103 |
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| container_issue | 5 |
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| container_title | Empirical economics |
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| creator | Jiang, Xuejun Li, Yunxian Yang, Aijun Zhou, Ruowei |
| description | This paper develops a Bayesian semiparametric quantile regression model for count data. The count responses are converted to continuous responses through the “jittered” method and a transform function. A Bayesian semiparametric quantile regression modeling approach is then developed. The error distribution in the quantile regression model is assumed to be a mixture of asymmetric Laplace distributions constructed with Dirichlet process. Historical death tolls of China caused by earthquakes from 1969 to 2006 are used for fitting, and a parametric model is employed for model comparison. The results of model comparison show that the proposed semiparametric quantile regression model outperforms the parametric model. The empirical analysis illustrates that the impact of earthquake magnitude on death tolls is significant. Moreover, the impact of the magnitude is more pronounced on higher percentiles of death tolls. |
| doi_str_mv | 10.1007/s00181-018-1615-4 |
| format | Article |
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The count responses are converted to continuous responses through the “jittered” method and a transform function. A Bayesian semiparametric quantile regression modeling approach is then developed. The error distribution in the quantile regression model is assumed to be a mixture of asymmetric Laplace distributions constructed with Dirichlet process. Historical death tolls of China caused by earthquakes from 1969 to 2006 are used for fitting, and a parametric model is employed for model comparison. The results of model comparison show that the proposed semiparametric quantile regression model outperforms the parametric model. The empirical analysis illustrates that the impact of earthquake magnitude on death tolls is significant. Moreover, the impact of the magnitude is more pronounced on higher percentiles of death tolls.</description><identifier>ISSN: 0377-7332</identifier><identifier>EISSN: 1435-8921</identifier><identifier>DOI: 10.1007/s00181-018-1615-4</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Bayesian analysis ; Death & dying ; Earthquakes ; Econometrics ; Economic models ; Economic theory ; Economic Theory/Quantitative Economics/Mathematical Methods ; Economics ; Economics and Finance ; Fatalities ; Finance ; Insurance ; Management ; Regression analysis ; Statistics for Business ; Tolls</subject><ispartof>Empirical economics, 2020-05, Vol.58 (5), p.2085-2103</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c381t-10c1e3ea8d45c08b1a88fd31ccfeaf397acb454273883e569e46a1fe5a5d52633</citedby><cites>FETCH-LOGICAL-c381t-10c1e3ea8d45c08b1a88fd31ccfeaf397acb454273883e569e46a1fe5a5d52633</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00181-018-1615-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00181-018-1615-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27907,27908,41471,42540,51302</link.rule.ids></links><search><creatorcontrib>Jiang, Xuejun</creatorcontrib><creatorcontrib>Li, Yunxian</creatorcontrib><creatorcontrib>Yang, Aijun</creatorcontrib><creatorcontrib>Zhou, Ruowei</creatorcontrib><title>Bayesian semiparametric quantile regression modeling for estimating earthquake fatality risk</title><title>Empirical economics</title><addtitle>Empir Econ</addtitle><description>This paper develops a Bayesian semiparametric quantile regression model for count data. The count responses are converted to continuous responses through the “jittered” method and a transform function. A Bayesian semiparametric quantile regression modeling approach is then developed. The error distribution in the quantile regression model is assumed to be a mixture of asymmetric Laplace distributions constructed with Dirichlet process. Historical death tolls of China caused by earthquakes from 1969 to 2006 are used for fitting, and a parametric model is employed for model comparison. The results of model comparison show that the proposed semiparametric quantile regression model outperforms the parametric model. The empirical analysis illustrates that the impact of earthquake magnitude on death tolls is significant. Moreover, the impact of the magnitude is more pronounced on higher percentiles of death tolls.</description><subject>Bayesian analysis</subject><subject>Death & dying</subject><subject>Earthquakes</subject><subject>Econometrics</subject><subject>Economic models</subject><subject>Economic theory</subject><subject>Economic Theory/Quantitative Economics/Mathematical Methods</subject><subject>Economics</subject><subject>Economics and Finance</subject><subject>Fatalities</subject><subject>Finance</subject><subject>Insurance</subject><subject>Management</subject><subject>Regression analysis</subject><subject>Statistics for Business</subject><subject>Tolls</subject><issn>0377-7332</issn><issn>1435-8921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kE1LAzEQhoMoWD9-gLeA52hmk-xmj1r8goIXvQkhzc7WtPvRJumh_96UFTx5mWHgfd6ZeQm5AX4HnFf3kXPQwHJhUIJi8oTMQArFdF3AKZlxUVWsEqI4JxcxrjnnQis5I1-P9oDR24FG7P3WBttjCt7R3d4OyXdIA64CxujHgfZjg50fVrQdA8WYfG_TcUQb0ncGNkhbm2zn04EGHzdX5Ky1XcTr335JPp-fPuavbPH-8jZ_WDAnNCQG3AEKtLqRynG9BKt12whwrkXbirqybimVLCqhtUBV1ihLCy0qqxpVlEJcktvJdxvG3T4fZtbjPgx5pSlA1LpQGqqsgknlwhhjwNZsQ_4gHAxwcwzRTCGaXMwxRCMzU0xMzNphheHP-X_oBzOodoc</recordid><startdate>20200501</startdate><enddate>20200501</enddate><creator>Jiang, Xuejun</creator><creator>Li, Yunxian</creator><creator>Yang, Aijun</creator><creator>Zhou, Ruowei</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AO</scope><scope>8BJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</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>K8~</scope><scope>L.-</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20200501</creationdate><title>Bayesian semiparametric quantile regression modeling for estimating earthquake fatality risk</title><author>Jiang, Xuejun ; Li, Yunxian ; Yang, Aijun ; Zhou, Ruowei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c381t-10c1e3ea8d45c08b1a88fd31ccfeaf397acb454273883e569e46a1fe5a5d52633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Bayesian analysis</topic><topic>Death & dying</topic><topic>Earthquakes</topic><topic>Econometrics</topic><topic>Economic models</topic><topic>Economic theory</topic><topic>Economic Theory/Quantitative Economics/Mathematical Methods</topic><topic>Economics</topic><topic>Economics and Finance</topic><topic>Fatalities</topic><topic>Finance</topic><topic>Insurance</topic><topic>Management</topic><topic>Regression analysis</topic><topic>Statistics for Business</topic><topic>Tolls</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Xuejun</creatorcontrib><creatorcontrib>Li, Yunxian</creatorcontrib><creatorcontrib>Yang, Aijun</creatorcontrib><creatorcontrib>Zhou, Ruowei</creatorcontrib><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>ProQuest Pharma Collection</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</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>DELNET Management Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</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>Empirical economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, Xuejun</au><au>Li, Yunxian</au><au>Yang, Aijun</au><au>Zhou, Ruowei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bayesian semiparametric quantile regression modeling for estimating earthquake fatality risk</atitle><jtitle>Empirical economics</jtitle><stitle>Empir Econ</stitle><date>2020-05-01</date><risdate>2020</risdate><volume>58</volume><issue>5</issue><spage>2085</spage><epage>2103</epage><pages>2085-2103</pages><issn>0377-7332</issn><eissn>1435-8921</eissn><abstract>This paper develops a Bayesian semiparametric quantile regression model for count data. The count responses are converted to continuous responses through the “jittered” method and a transform function. A Bayesian semiparametric quantile regression modeling approach is then developed. The error distribution in the quantile regression model is assumed to be a mixture of asymmetric Laplace distributions constructed with Dirichlet process. Historical death tolls of China caused by earthquakes from 1969 to 2006 are used for fitting, and a parametric model is employed for model comparison. The results of model comparison show that the proposed semiparametric quantile regression model outperforms the parametric model. The empirical analysis illustrates that the impact of earthquake magnitude on death tolls is significant. Moreover, the impact of the magnitude is more pronounced on higher percentiles of death tolls.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00181-018-1615-4</doi><tpages>19</tpages></addata></record> |
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| source | EBSCOhost Business Source Complete; Springer Nature - Complete Springer Journals |
| subjects | Bayesian analysis Death & dying Earthquakes Econometrics Economic models Economic theory Economic Theory/Quantitative Economics/Mathematical Methods Economics Economics and Finance Fatalities Finance Insurance Management Regression analysis Statistics for Business Tolls |
| title | Bayesian semiparametric quantile regression modeling for estimating earthquake fatality risk |
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