The internal rate of return to schooling is a fundamental economic parameter that is often used to assess whether expenditure on education should be increased or decreased. This paper considers alternative approaches to estimating marginal internal rates of return for different schooling levels....

Statistical tests are introduced for checking whether an image function f(x, y) defined on the unit disc D = {(x, y) : x2 + y2 . 1} is invariant under certain symmetry transformations of D, given that discrete and noisy data are observed. We consider invariance under reflections or under...

Statistikoje ir jos taikyme vienas dažniausiai sprendžiamų uždavinių yra daugiamačių tankių vertinimas.Tankių vertinimas skirstomas į parametrinį ir neparametrinį vertinimą. Parametriniame vertinime daroma prielaida, kad tankio funkcija f, apibūdinanti duomenis yi, kai i kinta nuo...

We study a consumer non-sequential search oligopoly model with search cost heterogeneity. We first prove that an equilibrium in mixed strategies always exists. We then examine the nonparametric identification and estimation of the costs of search. We find that the sequence of points on the...

The main uniform convergence results of Hansen (2008) are generalized in two directions: Data is allowed to (i) be heterogenously dependent and (ii) depend on a (possibly unbounded) parameter. These results are useful in semiparametric estimation problems involving time-inhomogenous models...

We analyze the behavior of start-ups in e-commerce, namely on Austria's leading price-comparison-site, a multi-product environment with almost complete information. We use weekly panel data on price-quotes of digicams, Audio/HiFi-equipment and hardware. We furthermore use advanced estimation...

We propose a quantile-based nonparametric approach to inference on the probability density function (PDF) of the private values in first-price sealed-bid auctions with independent private values. Our method of inference is based on a fully nonparametric kernel-based estimator of the quantiles...