Die Agency-Theorie verweist darauf, daß die Trennung von Eigentum und Kontrolle in Unternehmen zu einem Interessenskonflikt führen kann, wenn Informationsasymmetrien und opportunistisches Verhalten beobachtet werden. Gleichzeitig bildet die Agency-Theorie den theoretischen Bezugsrahmen für...

Dieser Diskussionsbeitrag kommentiert Güths axiomatische Begründung der Zweit-Preis-Auktion. In diesem Zusammenhang wird auch Güths umfangreiche Analyse der Lambda-Auktion durch eine einfache und anschaulich interpretierbare Lösung ersetzt. -- auctions ; procurement

This paper solves the equilibrium bid functions of third- and higher-price auctions for a large class of distribution functions of bidders’ valuations, assuming the symmetric independent private values framework, and risk neutrality. In all these auctions, equilibrium bids exceed bidders’...

Estimating equations have found wide popularity recently in parametric problems, yielding consistent estimators with asymptotically valid inferences obtained via the sandwich formula. Motivated by a problem in nutritional epidemiology, we use estimating equations to derive nonparametric...

Fan, Heckman and Wand (1995) proposed locally weighted kernel polynomial regression methods for generalized linear models and quasilikelihood functions. When the covariate variables are missing at random, we propose a weighted estimator based on the inverse selection probability weights....

Epidemiologists sometimes study the association between two measures of exposure on the same subjects by grouping the data into categories that are defined by sample quantiles of the two marginal distributions. Although such grouped data are presented in a twoway contingency table, the cell...

We use ideas from estimating function theory to derive new, simply computed consistent covariance matrix estimates in nonparametric regression and in a class of semiparametric problems. Unlike other estimates in the literature, ours do not require auxiliary or additional nonparametric...

Motivated by an example in nutritional epidemiology, we investigate some design and analysis aspects of linear measurement error models with missing surrogate data. The specific problem investigated consists of an initial large sample in which the response (a food frequency questionnaire, FFQ)...

In many regression applications both the independent and dependent variables are measured with error. When this happens, conventional parametric and nonparametric regression techniques are no longer valid. We consider two different nonparametric techniques, regression splines and kernel...