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The purpose of this honors thesis is to discover ways for a large humanitarian organization to more cost effectively manage its fleet of vehicles. The first phase of work involved

The purpose of this honors thesis is to discover ways for a large humanitarian organization to more cost effectively manage its fleet of vehicles. The first phase of work involved cleaning the large data set provided by the organization. Next, we used the program STATA to run a Seemingly Unrelated Regression (SUR) to see which variables have the largest effect on the percentage of price decline and total mileage of each vehicle.

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Date Created
  • 2015-12
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  • Text
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