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Parallel Realities: Exploring Poverty Dynamics using Mixed Methods in Rural Bangladesh Peter Davis and Bob Baulch

Parallel Realities: Exploring Poverty Dynamics using Mixed Methods in Rural Bangladesh Peter Davis and Bob Baulch. All photos in this presentation © 2008 Peter Davis. Introduction. In poverty research, different methods often lead to different findings

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Parallel Realities: Exploring Poverty Dynamics using Mixed Methods in Rural Bangladesh Peter Davis and Bob Baulch

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  1. Parallel Realities:Exploring Poverty Dynamics using Mixed Methods in Rural BangladeshPeter Davis and Bob Baulch All photos in this presentation © 2008 Peter Davis

  2. Introduction • In poverty research, different methods often lead to different findings • In the study of poverty dynamics differences may be magnified • Differences in findings can lead us to: • critically assess methods • mix methods strategically to strengthen research findings • attempt to uncover drivers of change more reliably • and therefore be able to suggest more effective interventions

  3. The focus of this presentation • What can we learn by integrating quantitative and qualitative assessments of socio-economic mobility of the same individuals and households? • The implications of these lessons for: • poverty-dynamics research • interventions to reduce chronic poverty

  4. The CPRC-DATA-IFPRI Bangladesh longitudinal study • The study combined three IFPRI evaluations which started in 1994, 1996 and 2000/03, and used a mixture of quantitative and qualitative methods • In 2006-7 we resurveyed the entire set of these households (plus new households created due to household division ) in three phases (qual-quant-qual)

  5. The 2006-7 Study’s 3 Phases 3 phases of data collection: • Summer 2006: focus group discussions investigating causes of decline and improvement and the long term impact of 3 interventions (116 FGDs in 11 districts) • Winter 2006-7: quantitative resurvey of panel households (1787 core + 365 splits in 14 districts) • Spring-Summer 2007: life-history interviews and village histories in 8 districts (161 households – 293 individuals)

  6. Map of the Study Sites Life-history districts (number of interviews) Nilphamari (38) Kurigram (39) Tangail (39) Mymensingh (18) Kishoreganj (19) Manikganj (72) Jessore (36) Cox’s Bazar (32)

  7. Poverty and Growth in the Study Sites

  8. Methods used to assess poverty transitions 1) Quantitative: transition matrices based on per capita expenditures and the BBS upper poverty lines2) Qualitative: Changes in individual well-being levels

  9. Transition matrix(from per capita expenditures)

  10. Transition matrix(from well-being levels)

  11. Mismatches between Qual and Quant Assessments of Poverty Dynamics

  12. Exploring the ‘mismatches’ • Cases where per capita expenditure does not accurately reflect the economic wealth of the household • Asset-based transitions have more matches

  13. 1. Expenditure an imperfect indicator of wealthClassifying quant transitions using land assets halves the mismatches

  14. Box 1: Expenditure is an imperfect indicator of wealth(qual PP: quant NN) • Circumstances: • Woman (57) • Sold land to live while husband ill - died in 1980 • Lives with son (29) working as a mason • Son injured 1996-2001 • 4 decimals of land owned • Own illness since 2004

  15. Exploring the ‘mismatches’ • Expenditure is an imperfect indicator of wealth • Asset-based transitions have more matches • Cases where households’ expenditures are close to the poverty line in either, or both, survey rounds. • High numbers of households near the poverty lines mean small changes in expenditure can cause transitions

  16. 2. Proximity to poverty lines: Distribution of per capita expenditures and poverty lines Agricultural Technology Sites

  17. 1994 2007 Per cap. Expenditure 796 690 Poverty line (BBS) 547 877 Household members 3 4 Land owned (decimals) 13 3 Box 3: Proximity to poverty lines(qual PP quant NP) • Circumstances: • Man 26 • Married in 1996 • Split from parents in 2001 • Lives with wife and 2 daughters • Only one household member the same as in 1994 • Day labourer • Own one cow

  18. Exploring the ‘mismatches’ • Expenditure is an imperfect indicator of wealth • Asset-based transitions have more matches • Proximity to poverty lines • High numbers of households near the poverty lines mean small changes in expenditure can cause poverty transitions 3. Non-monetary aspects of ill-being were not detected in the expenditure-based measurement -domestic violence, disability, illness, or vulnerability

  19. Box 4: Non-monetary aspects of illbeing not detected(qual PP but quant PN) Circumstances • Man (45) living with his wife (36), 2 daughters, 2 sons • Drives a van gari • One disabled daughter • Own chronic illness since 2002 • Dowry problems for eldest daughter

  20. Exploring the ‘mismatches’ • Expenditure is an imperfect indicator of wealth • Asset-based transitions have more matches • Liberal spenders versus frugal spenders • Proximity to poverty lines • High numbers of households near the poverty lines mean small changes in expenditure can cause transitions 3. Non-monetary aspects of ill-being were not detected in the expenditure based measurement -domestic violence, disability, illness, or vulnerability 4. Cases where changes in household size (often due to a ‘split’) led to changed household economies of scale

  21. Box 5: mismatch caused by diseconomies of scale qual PP but quant PN Circumstances • Woman (56) living with her husband (64) • Income from selling snacks • 10 decimals of homestead land,12 trees • 2 daughters and 3 sons separated • Land sold to pay for daughter’s dowries

  22. Exploring the ‘mismatches’ • Expenditure is an imperfect indicator of wealth • Asset-based transitions have more matches • Liberal spenders versus frugal spenders • Proximity to poverty lines • High numbers of households near the poverty lines mean small changes in expenditure can cause transitions 3. Cases where some non-monetary aspects of ill-being were not detected in the expenditure based measurement (such as the impact of domestic violence, disability, illness, or vulnerability) 4. Cases where changes in household size (often due to a ‘split’) led to changed household economies of scale 5. Cases where recall errors affected qualitative assessments

  23. Sequential reduction in mismatches

  24. Trajectory patterns

  25. Lessons from integration • Movement across monetary poverty lines can happen with little tangible change in people’s well-being • Various types of vulnerability are not visible in standard quantitative approaches • Including assets helps to improve assessments • Studying individuals and households over long periods adds to the conceptual and methodological complications of poverty measurement • With new challenges to understand the impact of global changes on the chronically poor, we need reliable mixed-methods approaches to poverty dynamics

  26. Some conclusions • Movements out of poverty are usually slow - declines can be fast and irreversible • People move out of poverty • by building up assets (land, livestock etc.) business, agriculture, educated children working, employment and remittances • People moving out of poverty are still vulnerable • food prices, loss of income, illness, dowry • Better understanding of the crises and opportunities poor people face assists in prioritising and rationalising anti-poverty interventions and enhancing social protection

  27. The end ... ...but work continues...

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