Urban Studies and Planning Commons^™

Evaluating Economic Development Programs Using Matched Employee‐Employer Data In A Quasi‐ Experimental Framework, Henry C. Renski

Henry C Renski

In the wake of shrinking public coffers, policy makers are demanding greater accountability from their economic development initiatives. In a discipline known for ‘claiming anything that falls,’ attempts to objectively evaluate economic development programs have been stymied by ill-suited data sources and methods. Survey research is expensive and responding firms have an incentive to lie about the effectiveness of subsidies. Publicly available data on employment, wages, and other outcomes are highly aggregated and lack the power to capture impacts from anything other than the most dramatic, large-scale initiatives. Confidential employee- and establishment-level (micro) data holds considerable promise for more rigorous …