The estimation of causal effects is a primary goal of behavioral, social, economic and biomedical sciences. Under the unconfounded treatment assignment condition, adjustment for confounders requires estimating the nuisance functions relating outcome and/or treatment to confounders. The...

This paper seeks to identify an updated and policy-relevant research agenda for transatlantic defense burden sharing. There is a significant gap between recent work revisiting the burden sharing issue from a public choice perspective and that revisiting it from a security perspective. The public...

Risk factors and systematic factor strategies are fast becoming an integral part of the global asset management landscape. In this report, we provide an introduction to, and critique of, the factor investing paradigm in a South African setting. We initially discuss the general factor...

El propósito de este trabajo es presentar un acercamiento a la influencia que tiene el fenómeno migratorio en el crecimiento económico de México. Se hace una revisión de los antecedentes de la migración desde la época de la colonia hasta nuestros días. Actualmente la migración...

The aim of this study is to investigate the effect of oil price, US Dollar rate and VIX on Borsa Istanbul by employing quantile regression model. In the literature, there are studies that examine the effect of the mentioned factors on stock market, but the number of studies in which these...

There is a large theoretical literature on methods for estimating causal effects under unconfoundedness, exogeneity, or selection-on-observables type assumptions using matching or propensity score methods. Much of this literature is highly technical and has not made inroads into empirical...

This paper considers a class of GMM estimators for general dynamic panel models, allowing for cross sectional dependence due to spatial lags and due to unspecified common shocks. We significantly expand the scope of the existing literature by allowing for endogenous spatial weight matrices,...

This paper tackles a core question of portfolio management: How ‘active' is an active portfolio? To answer this question holistically, we generalise the idea of Active Share by keeping the same calculation methodology but substituting in different types of portfolio and benchmark ‘weights'....

The econometrics literature proposed several new causal machine learning methods (CML) in the past few years. These methods harness the strength of machine learning methods to flexibly model the relationship between the treatment, outcome and confounders, while providing valid inferential...

As Western Society moves towards veganism, the topic is gaining attention in academia. Prior research in this field focuses on linkages between peoples’ dietary choices and their social and political attitudes. Several studies suggest correlation between these variables: the less meat the...