Econometrics and Income Inequality
| dc.contributor.author | Emmanuel Flachaire (Ed.) | * |
| dc.contributor.author | Martin Biewen (Ed.) | * |
| dc.date.accessioned | 2021-02-11T12:01:28Z | |
| dc.date.available | 2021-02-11T12:01:28Z | |
| dc.date.issued | 2018 | * |
| dc.date.submitted | 2018-11-26 12:04:46 | * |
| dc.identifier | 29722 | * |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/45719 | |
| dc.description.abstract | This Special Issue is devoted to the econometric analysis of income inequality and income distributions. Given the recent surge of inequality research, this Special Issue seeks to combine both theoretical and applied contributions which advance the econometric analysis of income inequality and income distributions. Possible topics include, but are not limited to, statistical inference for inequality measurement, inequality measurement with complex survey data, parametric or nonparametric modeling of income distributions, statistical decomposition methodology, methods to investigate the determinants of distributional change, causal inference in inequality measurement, and applications of such methods to substantive research questions in different fields of economics. | * |
| dc.language | English | * |
| dc.subject | H1-99 | * |
| dc.subject | HF5001-6182 | * |
| dc.subject.classification | bic Book Industry Communication::H Humanities | en_US |
| dc.subject.other | Complex survey data | * |
| dc.subject.other | Robust inference | * |
| dc.subject.other | Modelling of top tails | * |
| dc.subject.other | Decomposition methods | * |
| dc.subject.other | Inequality measurement | * |
| dc.subject.other | Wage inequality | * |
| dc.subject.other | incomplete data | * |
| dc.title | Econometrics and Income Inequality | * |
| dc.type | book | |
| oapen.identifier.doi | 10.3390/books978-3-03897-367-6 | * |
| oapen.relation.isPublishedBy | 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 | * |
| oapen.relation.isbn | 9783038973669 | * |
| oapen.relation.isbn | 9783038973676 | * |
| oapen.pages | 322 | * |
| oapen.edition | 1st | * |
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