This paper develops a new nonparametric series estimator for the average treatment effect for the case with unconfounded treatment assignment, that is, where selection for treatment is on observables. The new estimator is efficient. In addition we develop an optimal procedure for choosing the...

The report studies the distribution of income, expenditure, direct taxes and public transfers with respect to the age of household?s head. The data tonsist of five household budget surveys from the period 1971-1990 collected by Statistics Finland. The age- and cohort profiles of the variables...

This paper examines the empirical interplay between economic growth and greenhouse gas emissions using panel data.Relying on nonparametric methods, we find evidence supporting specifications which assume the constancy of the relationship between per capita CO2 emissions and per capita GDP during...

Despite the high volatilities recorded for electricity prices, there seems to be little demand for options on electricity. One reason for the disinterest in electricity options could arise from uncertainty about how to price these options. This study uses recent econometric advances to...

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...

This paper uses a seminonparametric model and Consumer Expenditure Survey data to estimate life cycle profiles of consumption, controlling for demographics, cohort and time effects. In addition to documenting profiles for total and nondurable consumption, we devote special attention to the age...

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 develop a nonparametric approach that allows for discrimination among alternative models of entry in first-price auctions. Three models of entry are considered: those of Levin and Smith (1994), Samuelson (1985), and a new model in which the information received at the entry stage is...

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...

Kernel-based estimators are often evaluated at multiple bandwidths as a form of sensitivity analysis. However, if in the reported results, a researcher selects the bandwidth based on this analysis, the associated confidence intervals may not have correct coverage, even if the estimator is...