A peer review is used ubiquitously in hiring, promotional, and evaluation decisions, within academia and beyond. It is usually conducted to allocate limited resources, such as the budget of a funder or the pages of a journal. With limited capacity, a peer review may lead to negatively biased...

Creating the right incentives for a áexible workforce lies at the heart of the gig economy. For most companies, a key question is how to best connect a limited number of independent workers in their platforms with service-seeking consumers through the right pricing and matching mechanisms. We...

A common practice in estimating parameters in DSGE models is to Önd a set that when simulated gets close to an average of certain data moments; the modelís simulated performance for other moments is then compared to the data for these as an informal test of the model. We call this procedure...

In this empirical study I examine the influence of macroeconomic and financial fundamentals on cryptocurrency metrics over the long term. Through both parametric and non-parametric estimation methods, I establish that the relative value of the US dollar and the price of gold consistently exert...

A consensus in the growth literature is that scale effects of R&D are non-existent across mature industrialized economies. However, the scrutiny across emerging economies is lacklustre at best. The empirical studies of scale effects also leave the issues of unbalanced regression (non-standard...

There has been an increasing interest in altruistic behaviour in the domain of losses recently. Nevertheless, there is no consensus in whether the monetary losses make individuals more generous or more selfish. Although almost all relevant studies rely on a dictator game to study altruistic...

This paper extends Meenagh and Minford (2021) to the four waves of infection in the UK by end-2021, using the unique newly available sample-based estimates of infections created by the ONS. These allow us to estimate the e§ects on the Covid hospitalisation and fatality rates of vaccination and...

We provide an abstract framework for submodular mean field games and identify verifiable sufficient conditions that allow to prove existence and approximation of strong mean field equilibria in models where data may not be continuous with respect to the measure parameter and common noise is...

In this paper, we discuss estimation procedure and various inferential methods for varying coefficient panel data models that include spatially correlated error components. Our estimation procedure is an extension of the quasi-maximum likelihood method for spatial panel data regression to the...

We test the standard New Keynesian (NK) Dynamic Stochastic General Equilibrium (DSGE) model under the condition with and without inattentive features, where inattentiveness is modelled in the form of sticky information and imperfect information data revision. All models are tested with the...