Estimating intergenerational mobility with incomplete data : coresidency and truncation bias in rank-based relative and absolute mobility measures (English)

The rank-based measures of intergenerational mobility have become increasingly popular in economics literature. Recent evidence shows that rank-based measures are less affected by measurement error and life-cycle bias compared with other standard measures such as intergenerational regression coefficient and intergenerational correlation. However, most of the available household surveys suffer from sample truncation, because coresidency is used to...

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Author

Emran,M. Shahe;

Shilpi,Forhad J.;
Document Date
2018/04/18
Document Type
Policy Research Working Paper
Report Number
WPS8414
Volume No
1
Total Volume(s)
1
Country
India, Bangladesh, World,
Region
South Asia, Other,
Disclosure Date
2018/04/18
Disclosure Status
Disclosed
Doc Name
Estimating intergenerational mobility with incomplete data : coresidency and truncation bias in rank-based relative and absolute mobility measures
Keywords
years of schooling

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Emran,M. Shahe; Shilpi,Forhad J..

Estimating intergenerational mobility with incomplete data : coresidency and truncation bias in rank-based relative and absolute mobility measures (English). Policy Research working paper|no. WPS 8414 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/503481524073263573

Estimating intergenerational mobility with incomplete data : coresidency and truncation bias in rank-based relative and absolute mobility measures (English)

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