Abstract
Our objective in this book is to create a simulation model of societal change so that it can be used for social and policy inquiry. There are two essential components to this enterprise: access to data of unimpeachable quality at a societal scale from which we can track social and demographic change in New Zealand and a statistical “toolkit” with which we can validly estimate the moving parts of the simulation model. We are indeed fortunate that we have access to census microdata that is linked over time and we benefit from a track record in our research group of constructing simulation models, including those with a dynamic element, which allows us to approach this daunting technical task of model construction with some confidence of success.
Roy Lay-Yee was principal author for this chapter.
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Davis, P., Lay-Yee, R. (2019). Data Preparation. In: Simulating Societal Change. Computational Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-04786-3_5
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