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Asking Questions to Understand Rural Livelihoods: Comparing Disaggregated vs. Aggregated Approaches to Household Livelihood Questionnaires

Jagger, Pamela; Luckert, Marty K.; Banana, Abwoli; … - In: World Development 40 (2012) 9, pp. 1810-1823

This study tests the hypothesis that both disaggregated and aggregated data collection methods produce similar … methods of data collection yield substantively different estimates of livelihood strategies for two indicators: income and … demonstrate that different methods of data collection influence our understanding of rural livelihoods. …

Persistent link: https://www.econbiz.de/10010599397

Ten Years of “Q-Squared”: Implications for Understanding and Explaining Poverty

Shaffer, Paul - In: World Development 45 (2013) C, pp. 269-285

Over the past decade, there have been a number of initiatives to promote a more systematic integration of “quantitative” and “qualitative,” or “Q-Squared,” approaches to poverty analysis in the Global South, and a large body of literature had emerged. The objective of the article is...

Persistent link: https://www.econbiz.de/10011052091

Adding Value to Randomization with Qualitative Analysis: The Case of Microcredit in Rural Morocco

Morvant-Roux, Solène; Guérin, Isabelle; Roesch, Marc; … - In: World Development 56 (2014) C, pp. 302-312

This paper analyzes microcredit demand and use to draw lessons on how households appropriate microcredit services. It introduces qualitative analysis to a randomized study. Findings suggest that microcredit demand and use is shaped not only by agro-ecological conditions, but by two major...

Persistent link: https://www.econbiz.de/10011052166