In this paper we establish a full information maximum likelihood approach to estimating the sample selection model with endogenous covariates. We also provide a test for exogeneity which indicates whether endogeneity is in fact a matter or not. In contrast to other methods proposed in the...

Using household travel diary data collected in Germany between 1997 and 2012, we employ an instrumental variable (IV) approach that enables us to consistently estimate both fuel price and efficiency elasticities at once. The aim is to gauge the relative impacts of fuel economy standards and fuel...

The measurement error problem in linear time series regression, with focus on the impact of error memory, modeled as nite-order MA processes, is considered. Three prototype models, two bivariate and one univariate ARMA, and ways of handling the problem by using instrumental variables (IVs) are...

Proportional reduction is a common cartel practice, in which cartel members reduce their output by the same percentage. We develop a simple method to quantify this reduction relative to a benchmark market equilibrium scenario. Our measure is continuous, has a simple interpretation as the "degree...

The rate of deforestation in Africa is of paramount concern not only to the future of Africa, but also to the world. This study uses country-level data to model changes in forest area over an 18 year period (1990-2007) in 35 African countries and investigates the role played by important...

I use data from the Bank of Canada's Bank Note Distribution System and exploit a natural experiment offered by the timing of Easter in the Gregorian calendar to analyze the effects of demographic change for currency demand. I find that the main drivers of low-denomination bank note demand are...

In econometrics some nonparametric instrumental regression models and nonparametric demand models with endogeneity lead to nonlinear integral equations with unknown integral kernels. We prove convergence rates of the risk for the iteratively regularized Newton method applied to these problems....

We present a unified structural equation modelling framework for the regression-based decomposition of rank-dependent indicators of socioeconomic inequality of health and compare it with a simple ordinary least squares regression. The structural equation modelling framework forms the basis for a...

This paper examines the consequences of introducing a normally distributed effect into a system where the dependent variable is ordered and the explanatory variable is ordered and endogenous. Using simulation techniques we show that a naive bivariate ordered probit estimator which fails to take...

A class of adaptive sampling methods is introduced for efficient posterior and predictive simulation. The proposed methods are robust in the sense that they can handle target distributions that exhibit non-elliptical shapes such as multimodality and skewness. The basic method makes use of...