Es handelt sich bei dem vorliegenden Arbeitspapier um eine praktische Einführung in die Partial Least Square (PLS)-Methode. The present paper is a practical introduction to partial least squares (PLS) method

A growing number of American states require that students who do not demonstrate basic reading proficiency at the end of third grade be retained and provided with remedial services. We exploit a discontinuity in the probability of third grade retention under Florida's test-based promotion policy...

A growing number of American states require that students who do not demonstrate basic reading proficiency at the end of third grade be retained and provided with remedial services. We exploit a discontinuity in the probability of third grade retention under Florida's test-based promotion policy...

This second Long Range Planning special issue on PLS-SEMin strategic management research and practice seeks to further progress towards this goal. The journal received 41 articles for its special issue on PLS-SEM, twelve of which completed a thorough review process successfully. Based on the...

The articles included in this special issue address PLS-SEM path modeling's strengths and limitations. In our introductory article, we provide an overview of the PLS-SEM path modeling approach directed at colleagues unfamiliar with the approach and who need to understand when PLS-SEM is the most...

Researchers and practitioners appreciate the various advantageous features that PLS-SEM, as a component-based approach to SEM, offers in practical applications. Although strategic management research relatively early on recognized PLS-SEM's flexibility regarding handling various modeling...

Algorithmic Differentiation (AD) is an efficient way to compute derivatives of a value with respect to the data inputs. In finance the model calibration to market data can be an important part of the valuation process. In presence of calibration, when obtained through exact equation solving or...

This paper studies price movements over the past decade in the Israeli housing market at the regional level and analyzes the variables that affect housing prices and the estimation of their elasticity. The price indices were calculated based on the hedonic methodology, using the CPIM technique...

The least squares Monte Carlo method of Longstaff and Schwartz (2001) has become a standard numerical method for option pricing with many potential risk factors. An important choice in the method is the number of regressors to use and using too few or too many regressors leads to biased results....

We propose the use of Kernel Regularized Least Squares (KRLS) for social science modeling and inference problems. KRLS borrows from machine learning methods designed to solve regression and classification problems without relying on linearity or additivity assumptions. The method constructs a...