An adequate representation of the technological trend component of yield time series is of crucial importance for the successful design of risk management instruments. However, for many transition and developing countries, the estimation of the technological trend is complicated by the joint...

The application of yield time series in risk analysis prerequisites the estimation of technological trend which might be present in the data. In this paper, we show that in presence of highly volatile yield time series and non-constant technology, the consideration of the weather effect in the...

The study evaluates the effectiveness of a catastrophic drought-index insurance developed by applying two alternative methods - the standard regression analysis and the copula approach. Most empirical analyses obtain estimates of the dependence of crop yields on weather by employing linear...

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This paper evaluates the determinants and impact of adopting the metal silo - a postharvest storage technology for staple grains - which was disseminated by the Swiss Agency for Development and Cooperation (SDC) from 1983 to 2003 in four Central American countries. The aim of the SDC program was...

Risk plays an important role in agricultural decision-making, particularly in those regions that are remarkably exposed to natural hazards and underdeveloped input and output markets. This is especially true for crop production in CIS countries where many farms have to deal with low liquidity...

Limited budget for the purchase of variable inputs might adversely affect producer's input use decisions and might result in a non-optimal input usage. If expenditure constrains are present and binding, unconstrained profit-maximization is not valid for modelling producers' input use decisions....

This paper aims to contribute to a better understanding of possible causes of considerable production variability that characterised Russian agriculture during the last decade. The study investigates production risk and technical inefficiency as two sources that influence production variability....