Estimating poverty in India without expenditure data - a survey-to-survey imputation approach (Record no. 521603)

000 -LEADER
fixed length control field 01150nam a22001457a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230216b ||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Newhouse, David and Vyas, Pallavi
245 ## - TITLE STATEMENT
Title Estimating poverty in India without expenditure data - a survey-to-survey imputation approach
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Economic and Political Weekly
300 ## - PHYSICAL DESCRIPTION
Extent 57(48), 26, Nov, 2022: p.34-43
520 ## - SUMMARY, ETC.
Summary, etc This paper utilises the expenditure data from 2004–05, 2009–10, and 2011–12 to impute household expenditure into a survey of durable goods expenditure conducted in 2014–15. The model’s predictions are comparable to the World Bank’s current adjustment method for the rural areas but imply a slower rate of poverty reduction for urban areas. In two validation tests, using past data, three alternative model specifications perform worse than the preferred model. The analysis indicates that survey-to-survey imputation, when feasible, is a preferable alternative to the current method of adjusting survey-based poverty estimates to later years. – Reproduced
773 ## - HOST ITEM ENTRY
Main entry heading Economic and Political Weekly
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
Subject DIP POVERTY
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Articles
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Serial Enumeration / chronology Barcode Date last seen Koha item type
          Indian Institute of Public Administration Indian Institute of Public Administration 2023-02-16 57(48), 26, Nov, 2022: p.34-43 AR127986 2023-02-16 Articles

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