We investigate a non-parametric method to estimating marginal propensities to consume (MPC) using regression splines. This approach complements existing methods by relaxing a number of strong requirements on the part of the theory, otherwise necessary to acquire identification. Specifically, we...

I papiret undersøges anvendeligheden af en ikke-parametrisk metode, en såkaldt regression spline, til estimation af husholdningers marginale forbrugstilbøjelighed. I forhold til eksisterende metoder kræver denne tilgang færre teoretiske antagelser for identifikation. Mere specifikt vises...

The objective of this study is to propose a method to measure the extent of collaboration and trust in a supply chain as important components of organizational behavior that contribute to the performance improvement of supply chain The proposed model for collaboration can be classified on the...

This paper introduces a new non-parametric approach to the modeling of circular data, based on the use of Bernstein polynomial densities which generalizes the standard Bernstein polynomial model to account for the specific characteristics of circular data. It is shown that the trigonometric...

Essays in Empirical Finance: Evaluating Risk in FinancialMarketsBy Alysa V. ShcherbakovaThis dissertation is comprised of two parts, each addressing animportant type of financial risk. The first part is composed of anessay discussing Market Risk. This essay examines a causalrelationship between...

This paper warns the risks of uncritically adopting the mind set of statisticians in empirical analysis. The examples of vector autoregressions, forecast combinations and measurement of treatment effects are used to illustrate the fragility of statistical inference when sample observations are...

Parametric, non-parametric, and semi-parametric approaches are commonly used for modeling correlated distributions. Semi-parametric and non-parametric approaches are used to examine the risk situation for Kansas agriculture. Results from the model indicate that 2000 will be another difficult...