Calculating Confidence Intervals for a Spatial Microsimulation Model Using a Z-statistic Error

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Abstract

This study provides a way of calculating confidence intervals for a spatial microsimulation model using estimates of statistical validity calculated from Census data. The calculation of confidence intervals has so far been difficult using spatial microsimulation models, but this paper provides a technique that estimates confidence intervals based on the z statistic published previously. This z statistic uses small area Census data and results from the spatial microsimulation model. An application of the method to estimates of housing stress shows that about 95.7% of SLAs show statistically accurate small area estimates with reasonably narrow confidence intervals.
Original languageEnglish
Title of host publicationIMA
Subtitle of host publication5th Proceedings
Place of PublicationLuxembourg
PublisherLuxembourg Institute of Socio-Economic Research (LISER)
Pages1-17
Number of pages17
Publication statusPublished - 2015
EventWorld Congress of the International Microsimulation Association (IMA) - Luxembourg
Duration: 02 Sep 201504 Sep 2015

Conference

ConferenceWorld Congress of the International Microsimulation Association (IMA)
Period02/09/1504/09/15

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  • Cite this

    Rahman, A. (2015). Calculating Confidence Intervals for a Spatial Microsimulation Model Using a Z-statistic Error. In IMA: 5th Proceedings (pp. 1-17). Luxembourg Institute of Socio-Economic Research (LISER).