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...

We set out Modern Monetary Theory (MMT) as a full DSGE model, and test it by indirect inference on post Financial Crisis US data, alongside a standard New Keynesian, NK, model. The MMT model is rejected, while the NK model has a high probability. We then evaluate replacing the Öscal and...

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...

Immigrants and offshore workers become important disturbing factors of domestic employment in the globalized economy. In this study we build a model with this feature to test how the three groups of workers in the labor force interact using a panel data of 155 countries over the period...

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...

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...

We document the investment and financing decisions of firms that experience monetary losses due to extreme weather events. Our sample covers firms operating in 41 economies, mainly emerging and developing markets. Consistent with the need to either replenish damaged capital or to adapt to...