Since characteristics varied from sub-district to sub-district, in part as a result of the timing of settlement, we would like to match each missing sub-district and division with a similar, geographically-proximate sub-district and division. To do so, we are entering into a spreadsheet information from the 1852 aggregate census statistics for districts which contain a missing sub-district. The information we are entering includes:
We plan to calculate percentage distributions of these socio-demographic characteristics by sub-district and division within districts, in the hopes of distinguishing suitable "donor" sub-districts. We would create a matching score and accept as a donor the sub-district with the highest matching score.
Resulting oversampled (or I should say extra-sampled) cases would be identified by a SAMPRULE variable, allowing us to determine the impact of including extra-sampled cases on the distribution of characteristics for each whole district and giving users the option of including or not including extra-sampled cases in their analyses.
We would like to be able to locate all sub-districts and divisions on a map; so far, we have found a map of 1852 census districts and sub-districts for the region of Montréal (20 districts) in Serge Courville, ed., Paroisses et Municipalités de la Région de Montréal au XIXe Siècle (1825-1861) Québec: Les Presses de l'Université Laval, 1988) and another map of Québec census districts in the Atlas Historique du Québec: Population et Territoire.
I welcome your feedback on this proposal
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