Abstract Behavioural finance has challenged many claims of efficient market hypothesis (EMH). Unfortunately many of these challenges are in the form of anecdotal evidence and lack quantification. This article uses market data together with some simple statistics to show that in practice certain...

This work examines a recent study that used various forecasting methods and in particular the Delphi method, to understand how the indicators were selected during the development of the prospective study. It can be concluded that the indicators in the study were selected through discussion on...

This paper shows that a multiple regression with two highly correlated explanatory variables, both of them with a near zero correlation with the dependent variable may correspond to a spurious regression or to a homeostatic model, with estimates highly sensible to outliers. The regression method...

In Singular Spectrum Analysis (SSA) window length is a critical tuning parameter that must be assigned by the practitioner. This paper provides a theoretical analysis of signal-noise separation and reconstruction in SSA that can serve as a guide to optimal window choice. We establish numerical...

We propose a panel data approach to disentangle the impact ofgone treatmenth from the gother treatmenth when the observed outcomes are subject to both treatments. We use the Great Hanshin-Awaji earthquake that took place on January 17, 1995 to illustrate our methodology. We find that there were...

Marketing applications offer many difficult and unique challenges in causal inference. In particular, targeted marketing activities, the arch-typical example of is search ads, can be difficult to evaluate using purely observational data. I review causal methods proposed in the recent...

The selection of controls in model design is essential to convincing empirical accounting research. However, we note that the theory for determining which factors should be “controlled” is often underappreciated, especially given the complexity of accounting data. In a sampling of articles...

In designing any causal study, steps must be taken to address both internal and external threats to its validity. Researchers tend to focus primarily on dealing with threats to internal validity. However, once they have conducted an internally valid analysis, that analysis yields an established...

Log-linear and log-log regressions are one of the most used statistical models. However, handling zeros in the dependent and independent variable has remained obscure despite the prevalence of the situation. In this paper, we discuss how to deal with this issue. We show that using Pseudo-Poisson...

The paper did not originally have an abstract. It explores the robustness of hedonic pricing estimation, focusing on four areas: 1) variable selection and treatment, 2) measurement error, 3) functional form, and 4) error distribution. The paper offers insights to guide the future conduct of...