Quisumbing, Agnes R.

Ragasa, Catherine

Malapit, Hazel J.

Rubin, Deborah

Myers, Emily

Pereira, Audrey

Heckert, Jessica

Seymour, Greg

Mzungu, Diston

Kalagho, Kenan

Meinzen-Dick, Ruth Suseela

Eissler, Sarah

Faas, Simone

Tauseef, Salauddin

Adegbola, Patrice Ygué

Crinot, Geraud Fabrice

Gantoli, Geoffroy

Martinez, Elena

Mswero, Grace

Pinkstaff, Crossley

GAAP2 Market Inclusion Study Team

Many development agencies design and implement interventions that aim to reach, benefit, and empower rural women across the value chain in activities ranging from production, to processing, to marketing. Determining whether and how such interventions empower women, as well as the constraints faced by different value chain actors, requires quantitative and qualitative tools. We describe how we adapted the project-level Women’s Empowerment in Agricultural Index (pro-WEAI), a mixed-methods tool for studying empowerment in development projects, to include aspects of agency relevant for multiple types of value chain actors. The resulting pro-WEAI for market inclusion (pro-WEAI+MI) includes quantitative and qualitative instruments developed over the course of four studies. Studies in the Philippines (2017), Bangladesh (2017), and Malawi (2019) were intended to diagnose areas of disempowerment to inform programming, whereas the Benin (2019) study was an impact assessment of an agricultural training program. The pro-WEAI+MI includes all indicators included in pro-WEAI, plus a dashboard of complementary indicators and recommended qualitative instruments. These tools investigate the empowerment of women in different value chains and nodes and identify barriers to market access and inclusion that may restrict empowerment for different value chain actors. Our findings highlight three lessons. First, the sampling strategy needs to be designed to capture the key actors in a value chain. Second, the market inclusion indicators cannot stand alone; they must be interpreted alongside the core pro-WEAI indicators. Third, not all market inclusion indicators will be relevant for all value chains and contexts. Users should research the experiences of women and men in the target value chains in the context of the programto select priority market inclusion indicators.

Measuring empowerment across the value chain: The evolution of the project-level Women’s Empowerment Index for Market Inclusion (pro-WEAI+MI)

Ahmed, Akhter

This paper analyzes poverty dynamics in rural Bangladesh using a nationally representative panel dataset of 5,260 rural households interviewed in 2011/12 and 2015. We find that education, savings, assets, non-farm employment, substantial safety net transfers, and women’s empowerment are key factors in breaking persistent poverty; and savings, non-farm engagement, and substantial safety net transfers prevent households from falling into poverty. The results are consistent across multinomial logit, logit, and simultaneous quantile regression models. Thus, policies and programs that address the determinants of persistent and transient poverty identified in this study hold promise for sustained poverty reduction in rural Bangladesh.

Climbing up the ladder and watching out for the fall: Poverty dynamics in rural Bangladesh

Minten, Bart

Headey, Derek D.

Lambrecht, Isabel

Subjective well-being measures are increasingly applied in quantitative economic analyses intended to elicit non-monetary wellbeing of individuals. However, the subjective nature of this evaluation means that measurement and comparison may be confounded by differences in context or may be sensitive to the implementation modality. We use two rounds of a large-scale panel phone survey data from Myanmar to explore whether the randomized placement of a happiness module – either at the beginning or at the end of the survey – affects respondents’ answers. Respondents who were asked the happiness module at the end are more likely to be happy – an increase of 7 percentage points – compared to those who are asked at the beginning of the survey. This result is consistent using different models and robust to inclusion of enumerator fixed effects and other enumerator and survey characteristics. A related question on worry in the same module yields similar findings. Results also sustain over the two rounds of survey in which we conducted the experiment.

How happy are you? It depends on when asked …

Tauseef, Salauddin

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