{"id":35923,"date":"1998-01-01T00:00:00","date_gmt":"1998-01-01T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/modelizacion-parametrica-de-la-distribucion-personal-de-la-renta-para-espana-mediante-metodos-robustos\/"},"modified":"1998-01-01T00:00:00","modified_gmt":"1998-01-01T00:00:00","slug":"modelizacion-parametrica-de-la-distribucion-personal-de-la-renta-para-espana-mediante-metodos-robustos","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ciencias-economicas\/modelizacion-parametrica-de-la-distribucion-personal-de-la-renta-para-espana-mediante-metodos-robustos\/","title":{"rendered":"Modelizacion parametrica de la distribucion personal de la renta para espa\u00f1a mediante metodos robustos."},"content":{"rendered":"<h2>Tesis doctoral de <strong> Mercedes Prieto Alaiz <\/strong><\/h2>\n<p>El objetivo de esta investigaci\u00f3n ha sido la modelizaci\u00f3n param\u00e9trica de la distribuci\u00f3n personal de la renta para el per\u00edodo 90-91, teniendo en cuenta la naturaleza aproximada de cualquier modelo param\u00e9trico y utilizando de forma eficaz la informaci\u00f3n suministrada por la encuesta b\u00e1sica de presupuestos familiares (ebpf). Con tal fin, se han empleado cinco modelos: los modelos lognormal, gamma, fisk, dagum y singh-maddala. Dichos modelos se han estimado por m\u00e1xima verosimilitud y por m\u00e9todos robustos. Adem\u00e1s, se han utilizado tres conjuntos de datos: los datos originales de la ebpf y dos series que tienen en cuenta el problema de la ocultaci\u00f3n de la renta en dicha encuesta. Las conclusiones que se desprenden del trabajo son: los m\u00e9todos robustos se han mostrado especialmente \u00fatiles para conseguir mejorar los ajustes; el modelo dagum y el singh-maddala son los que proporcionan mejores ajustes y la desigualdad de la distribuci\u00f3n de la renta aumenta si se considera el problema de la ocultaci\u00f3n.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Modelizacion parametrica de la distribucion personal de la renta para espa\u00f1a mediante metodos robustos.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Modelizacion parametrica de la distribucion personal de la renta para espa\u00f1a mediante metodos robustos. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Mercedes Prieto Alaiz <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Valladolid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1998<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Bernardo Pena Trapero<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Camilo Dagum <\/li>\n<li>Francisco Javier Callealta Barroso (vocal)<\/li>\n<li>Rafael Herrerias Pleguezuelo (vocal)<\/li>\n<li>Rigoberto P\u00e9rez Su\u00e1rez (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Mercedes Prieto Alaiz El objetivo de esta investigaci\u00f3n ha sido la modelizaci\u00f3n param\u00e9trica de la distribuci\u00f3n personal [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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