In binary discrete regression models like logit or probit the omis-sion of a relevant regressor (even if it is orthogonal) depresses the re-maining b coefficients towards zero. For the probit model, Wooldridge(2002) has shown that this bias does not carry over to the effect ofthe regressor on...

This article focuses on the endogeneity problem in a spatial framework. We analyze the case where endogeneity comes from an omitted variable, which is spatially autocorrelated. We show, both theoretically and with Monte-Carlo simulations, that one way to decrease the omitted variable bias is to...

A frequent assumption of hedonic price estimation using property market data is that spatial autocorrelation of regression residuals is a feature of the error generating process. Under this assumption, spatial error dependence models that impose a specific spatial structure on the error...

This paper analyzes the effect of transaction technology innovation on demand deposits.Using panel data for Italy we have two results. First, transaction technology innovation has a positive effect on demand deposits. Second, accounting for this innovation in the regressions significantly...