The purpose of this notebook is to demonstrate a simple use case for MCMC (Markov Chain Monte Carlo) methods for solving for parameters of a known relationship in a system which is prone to black swan events and large jumps. This is only a test of principal, using simulated data, for the purpose...

Jan Natolski behandelt die Problematik der Quantifizierung des Risikokapitals aus einer theoretischen Perspektive, die in wertvolle Impulse für die praktische Handhabung mündet. Dies ist ein wichtiger Schritt, da Versicherungsunternehmen durch die Richtlinie Solvency II verpflichtet sind,...

The main purpose of this paper is to analyze patterns of non-response in the social survey and to evaluate its effect on potential biases on satisfaction from life. An additional purpose is to apply the method of mixed regression, which combines the method of Ordinary Least Squares with Gini...

Purpose: This paper discusses partial least squares path modeling (PLS), a powerful structural equation modeling technique for research on international marketing. While a significant body of research provides guidance for the use of covariance-based structural equation modeling (CBSEM) in...

This paper revisits the Institutions and growth models. Econometric techniques have been applied on cross-country data, just to confirm the apriori knowledge that Institutions effect on growth is positive and highly statistically significant. This evidence was confirmed by all four models. OLS...

Since its first introduction in the Schmalenbach Business Review, Hahn et al.'s (2002) finite mixture partial least squares (FIMIX-PLS) approach to response-based segmentation in variance-based structural equation modeling has received much attention from the marketing and management...

Although independent unobserved heterogeneity--variables that affect the dependent variable but are independent from the other explanatory variables of interest--do not affect the point estimates or marginal effects in least squares regression, they do affect point estimates in nonlinear models...

Yitzhaki (1996) showed that the OLS estimator of the slope coefficient in a simple regression is a weighted average of the slopes delineated by adjacent observations. The weights depend only on the distribution of the independent variable. In this paper I demonstrate that equal weights can only...