Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects
We introduce a Bayesian instrumental variable procedure with spatial random effects that handles endogeneity, and spatial dependence with unobserved heterogeneity. We find through a limited Monte Carlo experiment that our proposal works well in terms of point estimates and prediction. Then, we apply...
- Autores:
-
Ramírez Hassan, Andrés
Montoya Blandón, Santiago
- Tipo de recurso:
- Fecha de publicación:
- 2015
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- eng
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/7348
- Acceso en línea:
- http://hdl.handle.net/10784/7348
- Palabra clave:
- Bayesian Estimation
Endogeneity
Instruments
Simultaneous Equations
Spatial Random Effects
Welfare Analysis
Estimación Bayesiana
Endogeneidad
Instrumentos
Ecuaciones Simultáneas
Efectos Aleatorios Espaciales
Análisis de Bienestar
- Rights
- License
- Acceso abierto
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Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2015-09-04T00:24:42Z2015-07-072015-09-04T00:24:42Zhttp://hdl.handle.net/10784/7348C11C15D11D12D60We introduce a Bayesian instrumental variable procedure with spatial random effects that handles endogeneity, and spatial dependence with unobserved heterogeneity. We find through a limited Monte Carlo experiment that our proposal works well in terms of point estimates and prediction. Then, we apply our method to analyze the welfare effects on the poorest households generated by a process of electricity tariff unification. In particular, we deduce an Equivalent Variation measure where there is a budget constraint for a two-tiered pricing scheme, and find that 10% of the poorest municipalities attained welfare gains above 2% of their initial income.engUniversidad EAFITEscuela de Economía y FinanzasWelfare gains of the poor: An endogenous Bayesian approach with spatial random effectsworkingPaperinfo:eu-repo/semantics/workingPaperDocumento de trabajo de investigacióndrafthttp://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_8042Acceso abiertohttp://purl.org/coar/access_right/c_abf2Bayesian EstimationEndogeneityInstrumentsSimultaneous EquationsSpatial Random EffectsWelfare AnalysisEstimación BayesianaEndogeneidadInstrumentosEcuaciones SimultáneasEfectos Aleatorios EspacialesAnálisis de Bienestararamir21@eafit.edu.cosmontoy4@eafit.edu.coRamírez Hassan, AndrésMontoya Blandón, SantiagoLICENSElicense.txtlicense.txttext/plain; charset=utf-82556https://repository.eafit.edu.co/bitstreams/59a1e9da-0180-4f2b-94cd-5b6321475020/download76025f86b095439b7ac65b367055d40cMD51ORIGINAL2015_18_Andres_Ramirez_Hassan.pdf2015_18_Andres_Ramirez_Hassan.pdfapplication/pdf1142989https://repository.eafit.edu.co/bitstreams/de999f20-5dcd-4218-bfa4-254009bf60d1/downloadbd32f1e6435dbef7c8d061508e7156daMD5210784/7348oai:repository.eafit.edu.co:10784/73482024-03-05 14:06:33.426open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co |
dc.title.eng.fl_str_mv |
Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects |
title |
Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects |
spellingShingle |
Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects Bayesian Estimation Endogeneity Instruments Simultaneous Equations Spatial Random Effects Welfare Analysis Estimación Bayesiana Endogeneidad Instrumentos Ecuaciones Simultáneas Efectos Aleatorios Espaciales Análisis de Bienestar |
title_short |
Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects |
title_full |
Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects |
title_fullStr |
Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects |
title_full_unstemmed |
Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects |
title_sort |
Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects |
dc.creator.fl_str_mv |
Ramírez Hassan, Andrés Montoya Blandón, Santiago |
dc.contributor.eafitauthor.none.fl_str_mv |
aramir21@eafit.edu.co smontoy4@eafit.edu.co |
dc.contributor.author.none.fl_str_mv |
Ramírez Hassan, Andrés Montoya Blandón, Santiago |
dc.subject.keyword.eng.fl_str_mv |
Bayesian Estimation Endogeneity Instruments Simultaneous Equations Spatial Random Effects Welfare Analysis |
topic |
Bayesian Estimation Endogeneity Instruments Simultaneous Equations Spatial Random Effects Welfare Analysis Estimación Bayesiana Endogeneidad Instrumentos Ecuaciones Simultáneas Efectos Aleatorios Espaciales Análisis de Bienestar |
dc.subject.keyword.spa.fl_str_mv |
Estimación Bayesiana Endogeneidad Instrumentos Ecuaciones Simultáneas Efectos Aleatorios Espaciales Análisis de Bienestar |
description |
We introduce a Bayesian instrumental variable procedure with spatial random effects that handles endogeneity, and spatial dependence with unobserved heterogeneity. We find through a limited Monte Carlo experiment that our proposal works well in terms of point estimates and prediction. Then, we apply our method to analyze the welfare effects on the poorest households generated by a process of electricity tariff unification. In particular, we deduce an Equivalent Variation measure where there is a budget constraint for a two-tiered pricing scheme, and find that 10% of the poorest municipalities attained welfare gains above 2% of their initial income. |
publishDate |
2015 |
dc.date.available.none.fl_str_mv |
2015-09-04T00:24:42Z |
dc.date.issued.none.fl_str_mv |
2015-07-07 |
dc.date.accessioned.none.fl_str_mv |
2015-09-04T00:24:42Z |
dc.type.eng.fl_str_mv |
workingPaper info:eu-repo/semantics/workingPaper |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_b1a7d7d4d402bcce |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_8042 |
dc.type.local.spa.fl_str_mv |
Documento de trabajo de investigación |
dc.type.hasVersion.eng.fl_str_mv |
draft |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10784/7348 |
dc.identifier.jel.none.fl_str_mv |
C11 C15 D11 D12 D60 |
url |
http://hdl.handle.net/10784/7348 |
identifier_str_mv |
C11 C15 D11 D12 D60 |
dc.language.iso.eng.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.local.spa.fl_str_mv |
Acceso abierto |
rights_invalid_str_mv |
Acceso abierto http://purl.org/coar/access_right/c_abf2 |
dc.coverage.spatial.eng.fl_str_mv |
Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees |
dc.publisher.spa.fl_str_mv |
Universidad EAFIT |
dc.publisher.department.spa.fl_str_mv |
Escuela de Economía y Finanzas |
institution |
Universidad EAFIT |
bitstream.url.fl_str_mv |
https://repository.eafit.edu.co/bitstreams/59a1e9da-0180-4f2b-94cd-5b6321475020/download https://repository.eafit.edu.co/bitstreams/de999f20-5dcd-4218-bfa4-254009bf60d1/download |
bitstream.checksum.fl_str_mv |
76025f86b095439b7ac65b367055d40c bd32f1e6435dbef7c8d061508e7156da |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad EAFIT |
repository.mail.fl_str_mv |
repositorio@eafit.edu.co |
_version_ |
1814110555079704576 |