Reducing Gender Bias in Household Consumption Data: Implications for Food Fortification Policy (Food Policy, 2022)

Photo by Kabiur Rahman Riyad on Unsplash

Using data from over 5,600 households in rural Bangladesh, this study shows that the household surveys commonly used to guide food fortification policy tend to overestimate total food consumption and underestimate women's actual share of household food.

Readers will come away with a clearer picture of how measurement error can quietly bias nutrition policy against women, plus a practical, low-cost method the authors propose for correcting these surveys using small samples of individual dietary recall data.