{"title":"Income Inequality and Poverty in Front of and During the Economic Crisis – An Empirical Investigation for Germany 2002-2010","authors":"J. Faik","doi":"10.2139/ssrn.2131131","DOIUrl":null,"url":null,"abstract":"Based on data from the German Socio-Economic Panel (SOEP), both income inequality and poverty are considered for Germany in front of and during the economic crisis 2008-2010. This comprises binary logistic regressions where it is tested whether a person is belonging to a certain income region or not. The units of analysis are differentiated by residential status, nationality, sex, age, household size/household type, employment status, etc. For instance, the likelihood of unemployed persons for being located in the low-income region weakly increased between 2007 and 2009. Those microeconomic calculations are correlated with the macroeconomic variables economic growth, inflation, and general unemployment. At the peak of the crisis – in 2009 – inequality dropped, and it increased afterwards. Poverty was not affected very much by economic developments during the crisis but at least an in-crease of persons, who stayed within the poverty region, occurred between 2008 and 2009 (compared with 2007/2008).","PeriodicalId":170522,"journal":{"name":"ERN: Other European Economics: Labor & Social Conditions (Topic)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other European Economics: Labor & Social Conditions (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2131131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Based on data from the German Socio-Economic Panel (SOEP), both income inequality and poverty are considered for Germany in front of and during the economic crisis 2008-2010. This comprises binary logistic regressions where it is tested whether a person is belonging to a certain income region or not. The units of analysis are differentiated by residential status, nationality, sex, age, household size/household type, employment status, etc. For instance, the likelihood of unemployed persons for being located in the low-income region weakly increased between 2007 and 2009. Those microeconomic calculations are correlated with the macroeconomic variables economic growth, inflation, and general unemployment. At the peak of the crisis – in 2009 – inequality dropped, and it increased afterwards. Poverty was not affected very much by economic developments during the crisis but at least an in-crease of persons, who stayed within the poverty region, occurred between 2008 and 2009 (compared with 2007/2008).