Periods of economic and financial stress traditionally give rise to profound changes in economic theory and in the way policy decisions are taken. Motivated by the recent interest in renewing macroeconomics after the global financial crisis, we collected the views of senior central bank staff in...

This paper shows how to incorporate judgment in a decision problem under uncertainty, within a classical framework. The method relies on the specification of a judgmental decision with associated confidence level and application of hypothesis testing. The null hypothesis tests whether marginal...

Computational methods to gauge investor sentiment from commonly used online data sources that rely on machine learning classifiers and lexicons have shown considerable promise, but suffer from measurement and classification errors. In our work, we develop a simple, direct and unambiguous...

Selective attrition out of longitudinal datasets is a concern for empirical researchers. This paper discusses a simple way to identify both direction and magnitude of potential sample bias in household panels. The idea is to exploit multiple types of simultaneous entries into the panel. The...

What effect does rising income inequality have on mortality rates in developed countries? In particular, does the rise of the super-wealthy or the top 0.01% of the population effect overall health of the population? This paper focuses on the effect of rising income inequality on mortality rates...

Stochastic frontier analysis is a popular tool to assess firm performance. Almost universally it has been applied using maximum likelihood estimation. An alternative approach, pseudolikelihood estimation, decouples estimation of the error component structure and the production frontier, has been...

What effect does rising income inequality have on longevity in advanced developed economies? This paper focuses on the effect of income inequality on mortality rates for men and women in a subset of OECD countries over nearly six decades from 1950-2008. Using adult mortality rates at aged...

Linear regression is a powerful tool for investigating the relationships between multiple variables by relating one variable to a set of variables. It can identify the effect of one variable while adjusting for other observable differences. For example, it can analyze how wages relate to gender,...

There is a widespread belief among economists that adding additional variables to a regression model causes higher standard errors. This note shows that, in general, this belief is unfounded and that the impact of adding variables on coefficients' standard errors is unclear. The concept of...

This paper studies nonparametric series estimation and inference for the effect of a single variable of interest x on an outcome y in the presence of potentially high-dimensional conditioning variables z. The context is an additively separable model E[y