Using Microsimulation to Maximise Scarce Survey Data: Applications for Catchment Scale Modelling and Policy Analysis |
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Authors: | Thiagarajah Ramilan Frank Scrimgeour Dan Marsh |
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Institution: | 1. Department of Economics, Waikato Management School, the University of Waikato, Private Bag 3105, Hamilton, New Zealand
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Abstract: | Microsimulation can be used to extend the use of scarce survey resources by creating simulated populations whose characteristics are close to those of the real population. The technique involves merging detailed survey observations with variables from more extensive data sets in order to create a simulated population. We illustrate how microsimulated data enable analysis of the economic and environmental impact of different policies on a catchment for which detailed farm level data was unavailable. Use of microsimulation for agri-environmental policy analysis is applicable to diverse problems from simulation of nitrogen trading to modelling of agent response to policy shocks. Scale flexibility is easily implemented since data can be aggregated or disaggregated to the preferred scale. Simulated catchment data allows better understanding of the effects of policies on different types of farm and should be extremely valuable to organisations that want to minimise the economic impact of environmental policies. |
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