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Tag Archives: North Carolina
Do Evictions Cause Income Changes? An Instrumental Variables Approach
By Grace Mok
Evictions are an important aspect of the affordable housing crisis facing low-income American renters. However, there has been little research quantifying the causal impact of evictions, which poses challenges for academics interested in understanding inequality and policy-makers interested in reducing it. Merging two datasets both new to the literature, I address this gap in the causal literature by using an instrumental variables strategy to examine the impact of evictions on household income over time in Durham, North Carolina. Exploiting gentrification-related evictions as an instrument, I find a 2.5% decrease in household income after eviction. This is a small, but significant decrease in income given that median household income for households at time of eviction is about $15,000.
Advisors: Professor Christopher Timmins, Professor Michelle Connolly | JEL Codes: I32, R29
The Comprehensive Optimal Business Location Model
By Mitchel Gorecki
In order to ensure long run viability, a firm must understand the idea of optimal business location. In the designing of a strategy, it is important to not only evaluate the present market environment but to also account for possible future change. This paper will demonstrate the core ideas behind a comprehensive location model that will predict the optimal location for a business. The effectiveness of the model will be evaluated by using past data from Durham, North Carolina to predict current retail development. The model is determined to be successful by seeing if the trend recognized would be able to correctly identify the present location choices of firms. The model will be further used to predict the future development plans for businesses locating in the Durham area.
Advisor: Charles Becker | JEL Codes: E3, M1, M2,
