This study examines the impact of the row planting method on maize productivity and risk exposure using panel datasets from Ethiopia. A flexible moment-based production function is fitted to capture the expected yield, yield variance, and exposure to downside risk. A Mundlak–Chamberlain approach is combined with a switching regression treatment effects model to account for unobserved heterogeneity and endogeneity. The study shows that adopters of the row planting method significantly reduced exposure to downside risk while increasing expected yield. The analysis also identified some household and environmental conditions that affect the gain from the row planting method.

Stochastic plateau production functions provide improved fertilizer recommendations based on multi-year agronomic experiments where weather and other stochastic variables change over time. This research assesses the profitability of no-tillage corn production in northeastern Colorado and determines economically optimal nitrogen fertilizer rates. It also proposes an alternative parameterization of the linear response stochastic plateau model which provides a robustness check against traditional parameterizations. Results show the current use of nitrogen fertilizer in the area exceeds estimated economically optimal levels. This suggests that a reduction in nitrogen use could increase expected profits and simultaneously reduce environmental costs.

We estimate consumption Euler equations using U.K. household-level data, employing a switching regression technique. We find excess sensitivity to income for one group of households but not for a second group. The likelihood of excess sensitivity is greater for the young, those without liquid assets, the degree-educated, ethnic minorities and those with negative home equity, consistent with liquidity constraints and buffer-stock saving. Housing capital gains affect the consumption plans of the excess sensitivity group of households, but not the other group. These results are consistent with a “collateral channel” for housing. Around 20%–40% of U.K. households display excess sensitivity.