In 1959, Ragnar Frisch prompted Georg Rasch to formalise a separability theorem that continues today to serve as the basis of a wide range of theoretical and applied developments in psychological and social measurement. Previously unnoted are the influences on Rasch exerted by Frisch’s...

In 1979, the Danish mathematician Georg Rasch recounted a 1959 visit with his former teacher, and later economics Nobel Prize winner, Ragnar Frisch. At this time, Frisch prompted Rasch to formalize his work in a separability theorem. Previously unnoted is that Frisch's close colleague, Irving...

Representation of continuous-time ARMA, CARMA, models is reviewed. Computational aspects of simulating and calculating the likelihood-function of CARMA are summarized. Some numerical properties are illustrated by simulations. Some real data applications are shown. -- CARMA ; maximum-likelihood ;...

Calyampudi Radhakrishna Rao (Rao for brevity, henceforth) just celebrated his 90th birthday. He received numerous honors including 1972 fellow of Econometric Society and the 2002 US Medal of Science (the citation of which recognized his contributions to economics). He co-founded with Mahalanobis...

David A. Freedman's (DF hereafter) fascinating methodological survey article explains very concisely the principal challenges faced by economists and other social scientists when they aim to test hypotheses using statistical (or econometric) models. He also discusses the principal responses to...

This paper argues that mainstream economics does not follow the positivist research tradition it (often implicitly) claims to follow and expresses some serious doubt that econometrics in particular can make economics a hard science. Mathematical rigour and sophisticated statistical techniques...

A quasi-centralized limit order book (QCLOB) is a limit order book (LOB) in which financial institutions can only access the trading opportunities offered by counterparties with whom they possess sufficient bilateral credit. We perform an empirical analysis of a recent, high-quality data set...

We study the long memory of order flow for each of three liquid currency pairs on a large electronic trading platform in the foreign exchange (FX) spot market. Due to the extremely high levels of market activity on the platform, and in contrast to existing empirical studies of other markets, our...

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...