Welfare Effects of Smallholder Export Participation: Evidence from Panel Data in Kyrgyzstan
In: The journal of development studies, Band 59, Heft 9, S. 1373-1390
ISSN: 1743-9140
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In: The journal of development studies, Band 59, Heft 9, S. 1373-1390
ISSN: 1743-9140
In: Economics of Transition, Band 26, Heft 1, S. 61-89
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In: Economics of transition, Band 26, Heft 1, S. 61-89
ISSN: 1468-0351
AbstractWe investigate long‐term trends in intergenerational educational mobility in a lower middle‐income transition economy. We draw on evidence from Kyrgyzstan using data from three household surveys collected in 1993, 1998 and 2011. We find that Kyrgyzstan, like Eastern European middle‐income transition economies, maintained high educational mobility, comparable to levels during the Soviet era. However, we find that the younger cohorts, exposed to the transition during their school years, experienced a rapid decline in educational mobility. We also document that gender differences in schooling and educational mobility, found among older‐aged individuals, disappeared in the younger cohorts.
In: World Bank Policy Research Working Paper No. 7154
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In: DIW Berlin Discussion Paper No. 1284
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In: DIW Berlin Discussion Paper No. 1252
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In: IZA Discussion Paper No. 7318
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In: Comparative economic studies, Band 61, Heft 4, S. 551-575
ISSN: 1478-3320
In: DIW Berlin Discussion Paper No. 1257
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In: IZA Discussion Paper No. 7055
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In: University of Central Asia – Institute of Public Policy and Administration (IPPA) Working Paper No. 34
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The COVID-19 pandemic is a global crisis affecting everyone. Yet, its challenges and countermeasures vary significantly over time and space. Individual experiences of the pandemic are highly heterogeneous and its impacts span and interlink multiple dimensions, such as health, economic, social and political impacts. Therefore, there is a need to disaggregate "the pandemic": analysing experiences, behaviours and impacts at the micro level and from multiple disciplinary perspectives. Such analyses require multi-topic pan-national survey data that are collected continuously and can be matched with other datasets, such as disease statistics or information on countermeasures. To this end, we introduce a new dataset that matches these desirable properties - the Life with Corona (LwC) survey - and perform illustrative analyses to show the importance of such micro data to understand how the pandemic and its countermeasures shape lives and societies over time.
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