Selected Current Projects
Project: Globalization and Inflation -- A Meta Analysis
Brief Description: Proponents of financial globalization argue that one of the benefits, among many, are the reduction in inflation in the domestic economy. One of the seminal papers by Romer (1993) supported this view by documenting that average inflation rates are lower in smaller and more open economies. In this project, we will review the evidence on this relationship using the framework of meta-analysis. We aim to answer the question whether, in today’s era of globalisation, central banks can still be in control of their domestic monetary policies or are they just reacting to global factors? To what extent does a global financial shock dominate domestic monetary transmission mechanisms?
Project: Meta-analysis of workplace interventions to reduce psycho-social risk factors that affect employee health
Brief Description: The purpose of this project is to review and study the empirical literature on workplace interventions, resilience, and psychosocial risks. In particular, we will collect and analyse estimates of the effect of workplace interventions on increasing resilience, and on reducing stress, anxiety, and depression at work. The goal of this project is to identify effective workplace interventions and the factors that account for their varying degrees of effectiveness.
Project: Creation of a Database of Replication Outcomes
Brief Description: This project will categorise approximately 400 replication studies in economics. The goal is to establish this database as a “gold standard” in categorising replication studies. In addition to generating data for three different research projects, we aim to make this data available online for other researchers to use. We define a replication as any published study whose main purpose is to assess the results of a previously published study. Replication studies will be categorized as “Confirmed”, “Disconfirmed”, and “Mixed”.
Project: Determinants of Successful Replication
Brief Description: This project will use the database described in Project #3 to identify predictors of replication success. It follows-up a recent paper in which machine learning was used to predict determinants of successful replication (Altmejd, A., Dreber, A., Forsell, E., Huber, J., Imai, T., Johannesson, M., ... & Camerer, C., 2019. Predicting the replicability of social science lab experiments. PloS One, 14(12)). That study used replication data gathered from 131 studies. Our database will have approximately 500 studies. Some of the determinants of replication success that have been noted in previous studies are effect size, p-value of the effect estimate, number of authors, and impact factor of journal.
Project: Using Monte Carlo Experiments to Select Meta-Analytic Estimators
Brief Description: The purpose of this study is to show how Monte Carlo analysis of meta-analytic estimators can be used to select estimators for specific research situations. Our analysis conducts 1,620 individual experiments, where each experiment is defined by a unique combination of sample size, effect heterogeneity, effect size, publication selection mechanism, and other research characteristics. We compare eleven estimators commonly used in medicine, psychology, and the social sciences. These are evaluated on the basis of bias, mean squared error (MSE), and coverage rates. For our experimental design, we reproduce simulation environments from four recent studies: Stanley, Doucouliagos, & Ioannidis (2017), Alinaghi & Reed (2018), Bom & Rachinger (2019), and Carter et al. (2019a).