Growth and convergence: A profile of distribution dynamics and mobility
In this paper we focus primarily on the dynamic evolution of the world distribution of growth rates in per capita GDP. We propose new concepts and measures of “convergence,” or “divergence” that are based on entropy distances and dominance relations between groups of countries over time. We update t...
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Veröffentlicht in: | Journal of econometrics 2007-02, Vol.136 (2), p.483-508 |
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container_title | Journal of econometrics |
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creator | Maasoumi, Esfandiar Racine, Jeff Stengos, Thanasis |
description | In this paper we focus primarily on the dynamic evolution of the world distribution of growth rates in per capita GDP. We propose new concepts and measures of “convergence,” or “divergence” that are based on entropy distances and dominance relations between groups of countries over time.
We update the sample period to include the most recent decade of data available, and we offer traditional parametric and
new nonparametric estimates of the most widely used growth regressions for two important subgroups of countries, OECD and non-OECD. Traditional parametric models are rejected by the data, however, using robust nonparametric methods we find strong evidence in favor of “polarization” and “within group” mobility. |
doi_str_mv | 10.1016/j.jeconom.2005.11.012 |
format | Article |
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We update the sample period to include the most recent decade of data available, and we offer traditional parametric and
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We update the sample period to include the most recent decade of data available, and we offer traditional parametric and
new nonparametric estimates of the most widely used growth regressions for two important subgroups of countries, OECD and non-OECD. Traditional parametric models are rejected by the data, however, using robust nonparametric methods we find strong evidence in favor of “polarization” and “within group” mobility.</description><subject>Convergence</subject><subject>Distribution</subject><subject>Distribution dynamics</subject><subject>Dynamics</subject><subject>Economic growth</subject><subject>Entropy</subject><subject>Growth</subject><subject>International comparisons</subject><subject>International cross-section</subject><subject>Mobility</subject><subject>Nonparametric</subject><subject>Parameter estimation</subject><subject>Stochastic dominance</subject><subject>Stochastic processes</subject><subject>Studies</subject><issn>0304-4076</issn><issn>1872-6895</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNqFUUFPwyAYJUYT5_QnmDRePLVCoYx6McboNC7xomfC6FdH05YJ3cz-vd-s8eBFyOPj8N7j5UHIOaMZo0xeNVkD1ve-y3JKi4yxjLL8gEyYmuWpVGVxSCaUU5EKOpPH5CTGhiJRKD4h83nwn8MqMX2VoMcWwjv0Fq6T22QdfO1aSHydVC4OwS03g_N9Uu160zkbvzWdX7rWDbtTclSbNsLZz5ySt4f717vHdPEyf7q7XaRWlGpIRS3yJeewrHIrmKygYqUUuQDDmZiBNabIaylMaQuGu6iFMia3VoDF7IbxKbkcfTHdxwbioDsXLbSt6cFvolZclUpJxpF58YfZ-E3oMZzGNyWXghZIKkaSDT7GALVeB9eZsNOM6n25utE_5ep9uZoxjeWi7nnUBViD_RUBrpG81RzTSjx3CJTOcLj9FbFGYPu6oEqvhg7dbkY3wOa2DoKO1u2_oXIB7KAr7_7J8wUH7p6B</recordid><startdate>20070201</startdate><enddate>20070201</enddate><creator>Maasoumi, Esfandiar</creator><creator>Racine, Jeff</creator><creator>Stengos, Thanasis</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>20070201</creationdate><title>Growth and convergence: A profile of distribution dynamics and mobility</title><author>Maasoumi, Esfandiar ; Racine, Jeff ; Stengos, Thanasis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c498t-4f42b33ebd2c416ded196424ea3147ecaa52f64a9c515155f48aa2cc4ec076a13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Convergence</topic><topic>Distribution</topic><topic>Distribution dynamics</topic><topic>Dynamics</topic><topic>Economic growth</topic><topic>Entropy</topic><topic>Growth</topic><topic>International comparisons</topic><topic>International cross-section</topic><topic>Mobility</topic><topic>Nonparametric</topic><topic>Parameter estimation</topic><topic>Stochastic dominance</topic><topic>Stochastic processes</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Maasoumi, Esfandiar</creatorcontrib><creatorcontrib>Racine, Jeff</creatorcontrib><creatorcontrib>Stengos, Thanasis</creatorcontrib><collection>RePEc IDEAS</collection><collection>RePEc</collection><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><jtitle>Journal of econometrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Maasoumi, Esfandiar</au><au>Racine, Jeff</au><au>Stengos, Thanasis</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Growth and convergence: A profile of distribution dynamics and mobility</atitle><jtitle>Journal of econometrics</jtitle><date>2007-02-01</date><risdate>2007</risdate><volume>136</volume><issue>2</issue><spage>483</spage><epage>508</epage><pages>483-508</pages><issn>0304-4076</issn><eissn>1872-6895</eissn><coden>JECMB6</coden><abstract>In this paper we focus primarily on the dynamic evolution of the world distribution of growth rates in per capita GDP. We propose new concepts and measures of “convergence,” or “divergence” that are based on entropy distances and dominance relations between groups of countries over time.
We update the sample period to include the most recent decade of data available, and we offer traditional parametric and
new nonparametric estimates of the most widely used growth regressions for two important subgroups of countries, OECD and non-OECD. Traditional parametric models are rejected by the data, however, using robust nonparametric methods we find strong evidence in favor of “polarization” and “within group” mobility.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.jeconom.2005.11.012</doi><tpages>26</tpages></addata></record> |
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subjects | Convergence Distribution Distribution dynamics Dynamics Economic growth Entropy Growth International comparisons International cross-section Mobility Nonparametric Parameter estimation Stochastic dominance Stochastic processes Studies |
title | Growth and convergence: A profile of distribution dynamics and mobility |
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