Varying Coefficient Models in R

This month we have A2RUG member Giacomo Benini presenting on Varying Coefficient Models in R; see below for more information.

There'll be pizza and beverages (thanks SPARK!), and after the talk we'll head to a nearby bar or restaurant to continue the discussion.

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Varying Coefficient Models in R

High degrees of heterogeneity across economic units can make the estimates of structural parameters inaccurate and uninformative. This presentation reviews how semiparametric varying coefficient models can identify observed cross-sectional heterogeneity both in presence of continuous-continuous interaction and continuous-factor interaction. The coefficients variation across groups improves the quality of the estimates and increases the credibility of the identification assumptions normally used in triangular models.

Giacomo Benini is a Post-Doctoral Researcher at the Aramco Research Center in Detroit. He earned a PhD in Econometrics from Geneva University where his thesis was titled "Capturing Heterogeneity by Varying Coefficient Models".