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...

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.

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...

As the year goes by, many market participants form expectations as to the effect of certain months on financial markets. Be it the summer doldrums, where trading volume decreases and price action subsides to the January effect, where most expect equity prices to rise in the month. These and...

We extend our 2003 paper on instrumental variables (IV) and GMM estimation and testing and describe enhanced routines that address HAC standard errors, weak instruments, LIML and k-class estimation, tests for endogeneity and RESET and autocorrelation tests for IV estimates.