Abstract:
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Statistics and Housing join at the nucleus of advanced statistical/econometric modeling and program evaluation to create, preserve, and finance affordable housing. Outside of developing complex analytical reports and analyses to inform management decisions, a statistician at Housing Finance Agency model housing loans production and performance to satisfy the agency objectives. With innovative data science techniques, a Programs Analyst plays a major role in portfolio management, predictive analytics, risk management, and scalable data-driven pattern discovery for mortgage-based products. Furthermore, a housing finance statistician provides technical, statistical guidance, and expertise for monitoring and developing of various housing programs and foster statistical and data science cooperation between different divisions of the agency. In this talk, we will discuss how statistics is at the hub of multiple areas of housing finance. In addition, we will expose the array of statistical techniques used in housing finance and challenges faced by the statistician.
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