In many low-income countries, agriculture is mostly rainfed and yields highly depend on climatic factors. Furthermore, farmers have little access to traditional crop insurance, which suffers from high information asymmetry and transaction costs. Insurances based on meteorological indices could...

Management is an important input into agricultural production, as it a determinant of the uptake and proper implementation of productive technologies and practices. While there is a large literature on evaluations of extension programs meant to improve management practices in agricultural...

This paper presents the results of an impact evaluation for the CRIAR program, implemented in rural areas in Bolivia. The objective of this program is to increase the agricultural income and food security of smallholder farmers through productivity gains that result from technological adoption....

This paper presents the results of an impact evaluation for the CRIAR program, implemented in rural areas in Bolivia. The objective of this program is to increase the agricultural income and food security of smallholder farmers through productivity gains that result from technological adoption....

This paper presents the impact evaluation of CRIAR program, implemented in rural areas in Bolivia. The objective of CRIAR is to increase smallholders' agricultural income and food security through productivity improvements triggered by technological adoption. In this study, we use data from a...

In this paper, we evaluate the short term impact of a Fruit Fly Eradication Program in the coastal areas of Peru. Exploiting arbitrary variation in the program's intervention borders, as well as precise geographic location data of farmer's households, we use a Geographical Regression...

The role of farm size has recently come to the forefront of agricultural development debates. Agricultural development policy often focuses on small farms given evidence of their role in poverty reduction and of higher yields. Yet policy has also focused on large farms due to their share of...

Farmland values have traditionally been valued using seasonal temperature and precipitation. A new strand of the literature uses degree days over the growing season to predict farmland value. We find that degree days and daily temperature are interchangeable over the growing season. However, the...

Many nonmarket valuation models, such as the Ricardian model, have been estimated using cross sectional methods with a single year of data. Although multiple years of data should increase the robustness of such methods, repeated cross sections suggest the results are not stable. We argue that...