Publication:
Estimation and Inference for Actual and Counterfactual Growth Incidence Curves

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dc.contributor.authorFirpo, Sergio
dc.contributor.authorFerreira, Francisco H. G.
dc.contributor.authorGalvao, Antonio F.
dc.date.accessioned2017-01-30T17:08:18Z
dc.date.available2017-01-30T17:08:18Z
dc.date.issued2017-01
dc.description.abstractDifferent episodes of economic growth display widely varying distributional characteristics, both across countries and over time. Growth is sometimes accompanied by rising and sometimes by falling inequality. Applied economists have come to rely on the Growth Incidence Curve, which gives the quantile-specific rate of income growth over a certain period, to describe and analyze the incidence of economic growth. This paper discusses the identification conditions, and develops estimation and inference procedures for both actual and counterfactual growth incidence curves, based on general functions of the quantile potential outcome process over the space of quantiles. The paper establishes the limiting 0 distribution of the test statistics of interest for those general functions, and proposes resampling methods to implement inference in practice. The proposed methods are illustrated by a comparison of the growth processes in the United States and Brazil during 1995-2007. Although growth in the average real wage was disappointing in both countries, the distribution of that growth was markedly different. In the United States, wage growth was mediocre for the bottom 80 percent of the sample, but much more rapid for the top 20 percent. In Brazil, conversely, wage growth was rapid below the median, and negative at the top. As a result, inequality rose in the United States and fell markedly in Brazil.en
dc.identifierhttp://documents.worldbank.org/curated/en/953201483623365115/Estimation-and-inference-for-actual-and-counterfactual-growth-incidence-curves
dc.identifier.doi10.1596/1813-9450-7933
dc.identifier.urihttps://hdl.handle.net/10986/25942
dc.languageEnglish
dc.language.isoen_US
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesPolicy Research Working Paper;No. 7933
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo
dc.subjectgrowth incidence curve
dc.subjectpotential outcome
dc.subjectinference
dc.subjectquantile process
dc.subjecteconomic growth
dc.subjectincome distribution
dc.subjectinequality
dc.subjectwage growth
dc.titleEstimation and Inference for Actual and Counterfactual Growth Incidence Curvesen
dc.typeWorking Paperen
dc.typeDocument de travailfr
dc.typeDocumento de trabajoes
dspace.entity.typePublication
okr.crossref.titleEstimation and Inference for Actual and Counterfactual Growth Incidence Curves
okr.date.disclosure2017-01-05
okr.doctypePublications & Research
okr.doctypePublications & Research::Policy Research Working Paper
okr.docurlhttp://documents.worldbank.org/curated/en/953201483623365115/Estimation-and-inference-for-actual-and-counterfactual-growth-incidence-curves
okr.guid953201483623365115
okr.identifier.doi10.1596/1813-9450-7933
okr.identifier.externaldocumentum090224b084841c9c_1_0
okr.identifier.internaldocumentum27075287
okr.identifier.reportWPS7933
okr.importedtrue
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/953201483623365115/pdf/WPS7933.pdfen
okr.region.administrativeLatin America and Caribbean
okr.region.countryBrazil
okr.region.countryUnited States
okr.statistics.combined1349
okr.statistics.dr953201483623365115
okr.statistics.drstats1018
okr.topicMacroeconomics and Economic Growth::Economic Growth
okr.topicPoverty Reduction::Achieving Shared Growth
okr.topicPoverty Reduction::Equity and Development
okr.topicPoverty Reduction::Inequality
okr.topicPoverty Reduction::Pro-Poor Growth
okr.unitPoverty and Inequality Team, Development Research Group
relation.isAuthorOfPublication2aa2ddfe-f591-50b2-961d-c4991bd3b876
relation.isAuthorOfPublication.latestForDiscovery2aa2ddfe-f591-50b2-961d-c4991bd3b876
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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