Seasonality in agricultural production continues to shape intra-annual food availability and prices in low-income countries. Using high-frequency panel data from northern Ethiopia, this study attempts to quantify seasonal fluctuations in children's weights. In line with earlier studies, we document considerable seasonality in children's age and height adjusted weights. While children located closer to local food markets are better nourished compared to their counterparts residing in more remote areas, their weights are also subject to considerable seasonality. Further analysis provides evidence that children located closer to food markets consume more diverse diets than those located farther away. However, the content of these diets varies across seasons: children are less likely to consume animal source foods during the lean season.

The level of technology adoption is often characterised as low in Africa. Recent evidence, however, points to the coexistence of substantial heterogeneity across farm households and the lack of a suitable mix of inputs for farmers to take advantage of input complementarities. We use a random coefficients multivariate probit model to quantify the complementarities between agricultural inputs and alternative forms of unobserved heterogeneity effects in modeling farmers' technology adoption decisions. The empirical analysis reveals that, conditional on various types of unobserved heterogeneity effects, farmers' technology adoption decisions exhibit strong complementarity for some inputs. The analysis also reveals substantial unobserved heterogeneity effects. We show that ignoring these behavioural features (unobserved heterogeneity and input complementarity) has important implications in quantifying the effect of some policy interventions that are meant to facilitate technology adoption. In particular, ignoring these features leads to significant overestimation of the effectiveness of extension services.

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