Measuring poverty dynamics and inequality in transition economies: disentangling real events from noisy data
Estimates of income inequality and the dynamics of poverty are highly sensitive to measurement error and transitory shocks in micro-level data. The apparent high levels of economic mobility in Poland and Russia are driven largely by transitory shocks and noisy data. There is a real risk of an entren...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Washington, DC
World Bank, Europe and Central Asia Region, Poverty Reduction and Economic Management Sector Unit
[2001]
|
| Schriftenreihe: | Policy research working paper
2549 reprint |
| Schlagworte: | |
| Online-Zugang: | BSB01 EUV01 HTW01 FHI01 IOS01 Volltext |
| Zusammenfassung: | Estimates of income inequality and the dynamics of poverty are highly sensitive to measurement error and transitory shocks in micro-level data. The apparent high levels of economic mobility in Poland and Russia are driven largely by transitory shocks and noisy data. There is a real risk of an entrenched underclass emerging in these transition economies |
| Beschreibung: | "May 2001"--Cover Includes bibliographical references (p. 31-32) Title from title screen as viewed on Sept. 18, 2002 |
| Beschreibung: | 1 Online-Ressource |
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| 520 | 3 | |a Estimates of income inequality and the dynamics of poverty are highly sensitive to measurement error and transitory shocks in micro-level data. The apparent high levels of economic mobility in Poland and Russia are driven largely by transitory shocks and noisy data. There is a real risk of an entrenched underclass emerging in these transition economies | |
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| 650 | 4 | |a Poverty |z Developing countries |x Statistical methods |v Econometric models | |
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| index_date | 2024-07-03T22:27:50Z |
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| institution | BVB |
| language | English |
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| spelling | Luttmer, Erzo F. P. Verfasser aut Measuring poverty dynamics and inequality in transition economies disentangling real events from noisy data Erzo F.P. Luttmer Washington, DC World Bank, Europe and Central Asia Region, Poverty Reduction and Economic Management Sector Unit [2001] 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Policy research working paper 2549 reprint "May 2001"--Cover Includes bibliographical references (p. 31-32) Title from title screen as viewed on Sept. 18, 2002 Estimates of income inequality and the dynamics of poverty are highly sensitive to measurement error and transitory shocks in micro-level data. The apparent high levels of economic mobility in Poland and Russia are driven largely by transitory shocks and noisy data. There is a real risk of an entrenched underclass emerging in these transition economies Online-Ausg Also available in print Consumption (Economics) Developing countries Statistical methods Econometric models Cost and standard of living Developing countries Statistical methods Econometric models Equality Developing countries Statistical methods Econometric models Income distribution Developing countries Statistical methods Econometric models Medical care Developing countries Statistical methods Econometric models Poverty Developing countries Statistical methods Econometric models World Bank Europe and Central Asia Region Poverty Reduction and Economic Management Unit oth Luttmer, Erzo F. P Measuring poverty dynamics and inequality in transition economies http://elibrary.worldbank.org/content/workingpaper/10.1596/1813-9450-2549 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Luttmer, Erzo F. P. Measuring poverty dynamics and inequality in transition economies disentangling real events from noisy data Consumption (Economics) Developing countries Statistical methods Econometric models Cost and standard of living Developing countries Statistical methods Econometric models Equality Developing countries Statistical methods Econometric models Income distribution Developing countries Statistical methods Econometric models Medical care Developing countries Statistical methods Econometric models Poverty Developing countries Statistical methods Econometric models |
| title | Measuring poverty dynamics and inequality in transition economies disentangling real events from noisy data |
| title_auth | Measuring poverty dynamics and inequality in transition economies disentangling real events from noisy data |
| title_exact_search | Measuring poverty dynamics and inequality in transition economies disentangling real events from noisy data |
| title_exact_search_txtP | Measuring poverty dynamics and inequality in transition economies disentangling real events from noisy data |
| title_full | Measuring poverty dynamics and inequality in transition economies disentangling real events from noisy data Erzo F.P. Luttmer |
| title_fullStr | Measuring poverty dynamics and inequality in transition economies disentangling real events from noisy data Erzo F.P. Luttmer |
| title_full_unstemmed | Measuring poverty dynamics and inequality in transition economies disentangling real events from noisy data Erzo F.P. Luttmer |
| title_short | Measuring poverty dynamics and inequality in transition economies |
| title_sort | measuring poverty dynamics and inequality in transition economies disentangling real events from noisy data |
| title_sub | disentangling real events from noisy data |
| topic | Consumption (Economics) Developing countries Statistical methods Econometric models Cost and standard of living Developing countries Statistical methods Econometric models Equality Developing countries Statistical methods Econometric models Income distribution Developing countries Statistical methods Econometric models Medical care Developing countries Statistical methods Econometric models Poverty Developing countries Statistical methods Econometric models |
| topic_facet | Consumption (Economics) Developing countries Statistical methods Econometric models Cost and standard of living Developing countries Statistical methods Econometric models Equality Developing countries Statistical methods Econometric models Income distribution Developing countries Statistical methods Econometric models Medical care Developing countries Statistical methods Econometric models Poverty Developing countries Statistical methods Econometric models |
| url | http://elibrary.worldbank.org/content/workingpaper/10.1596/1813-9450-2549 |
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