Grimm, Michael

[["dc.bibliographiccitation.firstpage","193"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Oxford Economic Papers"],["dc.bibliographiccitation.lastpage","211"],["dc.bibliographiccitation.volume","60"],["dc.contributor.author","Grimm, Michael"],["dc.contributor.author","Harttgen, Kenneth"],["dc.date.accessioned","2018-11-07T11:16:48Z"],["dc.date.available","2018-11-07T11:16:48Z"],["dc.date.issued","2008"],["dc.description.abstract","Whereas life expectancy continues to increase in most industrialized countries, many developing and transition countries are today confronted with decreases in life expectancy. Usual measures employed to compare welfare over time and space fail to deal with such demographic change and may lead to the so-called repugnant conclusion that lower life expectancy involves higher welfare per capita. We illustrate this type of transmission channel using various welfare criteria and reference populations. We also consider feed-back effects from the demography on the economy using a neo-classical growth model. We show that the repugnant conclusion can be avoided if we choose a lifetime welfare measure instead of a period (or snapshot) welfare measure. All concepts are illustrated empirically using a small sample of developed and developing countries."],["dc.identifier.doi","10.1093/oep/gpm025"],["dc.identifier.isi","000254294900001"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/54676"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","0030-7653"],["dc.title","Longer life, higher welfare"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","191"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Social indicators research"],["dc.bibliographiccitation.lastpage","211"],["dc.bibliographiccitation.volume","97"],["dc.contributor.author","Grimm, Michael"],["dc.contributor.author","Harttgen, Kenneth"],["dc.contributor.author","Klasen, Stephan"],["dc.contributor.author","Misselhorn, Mark"],["dc.contributor.author","Munzi, Teresa"],["dc.contributor.author","Smeeding, Timothy"],["dc.date.accessioned","2018-06-05T08:28:05Z"],["dc.date.available","2018-06-05T08:28:05Z"],["dc.date.issued","2010-06"],["dc.description.abstract","One of the most frequent critiques of the HDI is that is does not take into account inequality within countries in its three dimensions. In this paper, we apply a simply approach to compute the three components and the overall HDI for quintiles of the income distribution. This allows a comparison of the level in human development of the poor with the level of the non-poor within countries, but also across countries. This is an application of the method presented in Grimm et al. (World Development 36(12):2527-2546, 2008) to a sample of 21 low and middle income countries and 11 industrialized countries. In particular the inclusion of the industrialized countries, which were not included in the previous work, implies to deal with a number of additional challenges, which we outline in this paper. Our results show that inequality in human development within countries is high, both in developed and industrialized countries. In fact, the HDI of the lowest quintiles in industrialized countries is often below the HDI of the richest quintile in many middle income countries. We also find, however, a strong overall negative correlation between the level of human development and inequality in human development."],["dc.identifier.doi","10.1007/s11205-009-9497-7"],["dc.identifier.pmid","20461123"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/7650"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/14874"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.orgunit","Wirtschaftswissenschaftliche Fakultät"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Inequality in Human Development: An Empirical Assessment of 32 Countries"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2527"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","World Development"],["dc.bibliographiccitation.lastpage","2546"],["dc.bibliographiccitation.volume","36"],["dc.contributor.author","Grimm, Michael"],["dc.contributor.author","Harttgen, Kenneth"],["dc.contributor.author","Klasen, Stephan"],["dc.contributor.author","Misselhorn, Mark"],["dc.date.accessioned","2018-06-05T14:52:57Z"],["dc.date.available","2018-06-05T14:52:57Z"],["dc.date.issued","2008"],["dc.description.abstract","One of the most frequent critiques of the HDI is that it does not take into account inequality within countries. We suggest a methodology which allows to compute the three components and the overall HDI for quintiles of the income distribution. This allows comparisons of the level in human development of the poor and non-poor within and across countries. An empirical illustration shows large discrepancies in human development within the countries, especially in Africa. These discrepancies are lower the higher the HDI is, but only weakly so. Inequality in income is generally higher than inequality in education and life expectancy."],["dc.identifier.doi","10.1016/j.worlddev.2007.12.001"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/14905"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.title","A Human Development Index by Income Groups"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","26"],["dc.bibliographiccitation.firstpage","737"],["dc.bibliographiccitation.journal","Demographic Research"],["dc.bibliographiccitation.lastpage","766"],["dc.bibliographiccitation.volume","46"],["dc.contributor.author","Grimm, Michael"],["dc.contributor.author","Günther, Isabel"],["dc.contributor.author","Harttgen, Kenneth"],["dc.contributor.author","Klasen, Stephan"],["dc.date.accessioned","2022-06-01T09:40:02Z"],["dc.date.available","2022-06-01T09:40:02Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.4054/DemRes.2022.46.26"],["dc.identifier.pii","5329"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108621"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-572"],["dc.relation.eissn","1435-9871"],["dc.title","Slow-downs of fertility decline: When should we call it a 'fertility stall'?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]