Applied Econometrics Project

As a student in the Lazaridis School of Business & Economics at Wilfrid Laurier University, I had the opportunity to work on an Applied Econometrics project to investigate the internal and external variables that impact the completion time of referrals at a private geriatric clinic.

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The clinic aims to provide timely access to comprehensive interdisciplinary geriatric specialist care for Ontario clinicians to optimize medications for older adults with multiple health conditions. In order to improve the efficiency of their services, the clinic sought to understand the factors that may prolong the consultation process and guide future efforts to improve operations and communications with referring clinicians.

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To tackle this problem, I utilized exploratory analysis and regression techniques to analyze the data and identify the key drivers of referral completion time. Through my analysis, I was able to identify several factors that contributed to longer referral completion times, including the type of referral, the patient's primary diagnosis, and the number of medications prescribed.

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Using these insights, I developed recommendations for the clinic to consider in order to streamline their referral process and improve efficiency. I presented my findings and recommendations to the clinic, and they were well-received by the team.

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Overall, this project allowed me to demonstrate my skills in applied econometrics, data analysis, and problem-solving, as well as my ability to effectively communicate technical findings to a non-technical audience. It was a valuable learning experience and I am grateful for the opportunity to contribute to the efforts of the private geriatric clinic to improve their services for older adults in Ontario.