Insurance Pricing with Proprietary Information

Information regarding the likelihood and severity of automobile accidents for individual insurance consumers enables insurance companies to price insurance policies. The more accurate and predictive the data, the more accurate and fair insurance prices are. Modern advances, such as telematics technology, allow insurers to improve the quality of their information. This improved information has an efficiency-enhancing effect on the personal automobile insurance market which makes both insurers and consumers better off.

Development of Statistical Models for Residential Property Assessment in Saskatoon

The Office of the City Assessor is required by the Cities Act to determine the fair value of land and improvements of single family dwellings by applying the residential sales comparison method. Thus, the intern will perform analysis to determine how major factors contribute to the values of properties using newly available data. Such analysis involves developing statistical models for major market areas in Saskatoon, preparing data for statistical analysis, estimation of models and evaluation the models’ performance based on statistical and economic plausibility.

Family Physician Work Force Projection in Saskatchewan

This project will examine the physician needs in Saskatchewan and will forecast the number of family physicians needed for each health region. Using health regions as a unit of analysis, supply of physician workforce will be estimated in a reduced form. Both demand and supply side factors such as income, demographic characteristics, physician migration and factors capturing substitution among various healthcare inputs will be included as regressors.

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