This paper addresses the issue of agricultural production under both output level and output price risks, in a context of random climatic conditions affecting forage used in beef production. It contributes to the empirical literature by applying the framework proposed by Isik (2002) to derive estimating equations from a structural production model with two sources of risks. Flexible functional forms for risk preferences and production technology allow us to identify attitudes toward risk and compute marginal effects of inputs and climate on expected output and production risk. The model is applied on a panel of French cattle farms and estimation results suggest that cattle farmer exhibit strong risk aversion of the CRRA form, and that clima...
<p>Applying a bio-economic whole-farm model, we assess the impact of price and weather risk as well ...
Applying a bio-economic whole-farm model, we assess the impact of price and weather risk as well as ...
A procedure using linear programming and Bayesian analysis for incorporating risks associated with c...
This paper addresses the issue of agricultural production under both output level and output price r...
This paper addresses the issue of agricultural production under both output level and output price r...
This paper addresses the issue of agricultural production under both output level and output price r...
Suckler cow production in France relies mainly on a relatively extensive management of forage, imply...
Suckler cow production in France relies mainly on a relatively extensive management of forage, imply...
Suckler cow production in France relies mainly on a relatively extensive management of forage, imply...
Currently France wants to introduce a weather risk management framework into its agricultural policy...
Currently France wants to introduce a weather risk management framework into its agricultural policy...
Suckler cow farmers face weather and price risks which can threaten farms durability. In this thesis...
This paper determines the effects of cattle feeders ’ risk aversion on feeder cattle prices using pe...
With the increasing commodity prices volatility over the last years and the successive agricultural ...
With the increasing commodity prices volatility over the last years and the successive agricultural ...
<p>Applying a bio-economic whole-farm model, we assess the impact of price and weather risk as well ...
Applying a bio-economic whole-farm model, we assess the impact of price and weather risk as well as ...
A procedure using linear programming and Bayesian analysis for incorporating risks associated with c...
This paper addresses the issue of agricultural production under both output level and output price r...
This paper addresses the issue of agricultural production under both output level and output price r...
This paper addresses the issue of agricultural production under both output level and output price r...
Suckler cow production in France relies mainly on a relatively extensive management of forage, imply...
Suckler cow production in France relies mainly on a relatively extensive management of forage, imply...
Suckler cow production in France relies mainly on a relatively extensive management of forage, imply...
Currently France wants to introduce a weather risk management framework into its agricultural policy...
Currently France wants to introduce a weather risk management framework into its agricultural policy...
Suckler cow farmers face weather and price risks which can threaten farms durability. In this thesis...
This paper determines the effects of cattle feeders ’ risk aversion on feeder cattle prices using pe...
With the increasing commodity prices volatility over the last years and the successive agricultural ...
With the increasing commodity prices volatility over the last years and the successive agricultural ...
<p>Applying a bio-economic whole-farm model, we assess the impact of price and weather risk as well ...
Applying a bio-economic whole-farm model, we assess the impact of price and weather risk as well as ...
A procedure using linear programming and Bayesian analysis for incorporating risks associated with c...