The least squares estimator is probably the most frequently used estimation method in regression analysis. Unfortunately, it is also quite sensitive to data contamination and model misspecification. Although there are several robust estimators designed for parametric regression models that can...

The least squares estimator is probably the most frequently used estimation method in regression analysis. Unfortunately, it is also quite sensitive to data contamination and model misspecification. Although there are several robust estimators designed for parametric regression models that can...

High breakdown-point regression estimators protect against large errors and data con- tamination. We generalize the concept of trimming used by many of these robust estima- tors, such as the least trimmed squares and maximum trimmed likelihood, and propose a general trimmed estimator, which...

High breakdown-point regression estimators protect against large errors and data con- tamination. Motivated by some { the least trimmed squares and maximum trimmed like- lihood estimators { we propose a general trimmed estimator, which unifies and extends many existing robust procedures. We...

This paper analyzes the differences on the proportion of temporary employees in the Spanish manufacturing sector according to firm ownership nationality. Standard censored Tobit and Heckman sample selection models are estimated using data from the Survey on Managerial Strategies (ESSE) in the...

In recent times the service sector is often called the driving force of today?s economies. This paper analyses the innovative activities of German service firms. We investigate whether firms that receive public subsidies for innovation projects engage more in innovative activities than others....

This paper analyses the impact of public innovation subsidies on private innovation expenditure. In the empirical economic literature there is still no common support for the hypothesis of either a complementary or a substitutive relationship between public funding and private investment. We...

Bergin and Lipman (1996) show that the refinement effect from the random mutations in the adaptive dynamics in Kandori, Mailath and Rob (1993) and Young (1993) is due to restrictions on how these mutation rates vary across population states. We here model these mutation rates as endogenously...

The author estimates the relationship between the provincial credit ratimgs, as assessed by Standard & Poor' and a number of economic variables, using the ordered probit methodology.