The welcome rise of replication tests in economics has not been accompanied by a single, clear definition of replication. A discrepant replication, in current usage of the term, can signal anything from an unremarkable disagreement over methods to scientific incompetence or misconduct. This...

Utilitarian foundations for limited government are shaky insofar as they assume rational and consistent individuals. Recently economists' assumption of rational actors has come under sustained attack. Behavioural economics has suggested that people are plagued by irrational biases and...

In the New England Journal of Medicine, Longo and Drazen critically assessed the concept of data sharing. Their main concern is that a "new class of research person will emerge" that uses data, which were gathered by other researchers, for their own original research questions. The authors...

The immense literature on discrimination treats outcomes as relative: One group suffers compared to another. But does a difference arise because agents discriminate against others - are exophobic - or because they favor their own kind - are endophilic? This difference matters, as the relative...

This paper presents tentative evidence from 68,792 papers published between 1961 and 2020 that progress in the scholarly field of entrepreneurship is declining. It is found that the annual number of papers published in entrepreneurship has increased exponentially since the Second World War,...

Based on a review of 700+ peer-reviewed articles since 1990, identified using text mining methodology and supervised machine learning, we analyze how neo-Schumpeterian growth theorists relate to the entrepreneur-centered view of Schumpeter (1934) and the entrepreneurless framework of Schumpeter...

This paper analyzes wage decomposition methodology in the context of panel data sample selection embedded in a correlated random effects setting. Identification issues unique to panel data are examined for their implications for wage decompositions. As an empirical example, we apply our...

Cultural diversity - in various forms - has in recent years turned into a prominent and relevant research and policy issue. There is an avalanche of studies across many disciplines that measure and analyse cultural diversity and its impacts. Based on different perspectives and features of the...

Meta-analytic methods have been widely applied to education, medicine, and the social sciences. Much of meta-analytic data are hierarchically structured since effect size estimates are nested within studies, and in turn studies can be nested within level-3 units such as laboratories or...

This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage "once you understand OLS, you can work your...