Professor Dan Black Argues For Greater Use Of Statistical Matching

Harris Public Policy Professor Dan Black published an article in IZA World of Labor arguing that matching is a powerful statistical method that is being under utilized, despite the fact that revolutions in computing power has made it much easier to implement than in the past.

"Matching is a powerful but often misunderstood statistical technique. It allows the researcher to program impacts (in a similar way to regression analysis) but does so without requiring researchers to make assumptions about the exact functional form."

Full coverage available at IZA World of Labor.