This paper proposes a macro-prudential financial soundness analysis that can be used by most developing and transformation countries with or without crisis experience as well as by developed countries with limited data. The objective is to detect economic and financial sector vulnerability,...

Objectives: To estimate racial/ethnic and education-related disparities and examine trends in uncontrolled cardiovascular (CVD) risk factors among adults with diabetes. Methods: The analysis samples include adults aged 20 and over from NHANES III, 1988- 1994 and NHANES 1999-2008 who self-report...

With the increasing importance of the service-providing sectors, information from these sectors has become essential to the understanding of contemporary business cycles. This paper explores the usefulness of the transportation services output index (TSI) as an additional coincident indicator in...

We estimate and decompose family income-related inequality in child health in the US and analyze its dynamics using the income-related health mobility index recently introduced by Allanson et al., 2010. Data come from the 1997, 2002, and 2007 waves of the Child Development Supplement (CDS) of...

We apply generalized beta and triangular distributions to histograms from the Survey of Professional Forecasters (SPF) to estimate forecast uncertainty, shocks and discord using information framework, and compare these with moment-based estimates. We find these two approaches to produce...

We reformulate the Nordhaus test as a friction model where the large number of zero revisions are treated as censored, i.e., unknown values inside a small region of “imperceptibility.” Using Blue Chip individual forecasts of U.S. real GDP growth, inflation, and unemployment over 1985-2020,...

We have argued that from the standpoint of a policy maker who has access to a number of expert forecasts, the uncertainty of a combined forecast should be interpreted as that of a typical forecaster randomly drawn from the pool. With a standard factor decomposition of a panel of forecasts, we...

This is the book review of Silvia et al. (2014). Despite being extremely intuitive and erring on the side of being unassuming, "Business and Economic Forecasting: Analyzing and Interpreting Econometric Results" serves as an excellent and thorough textbook not only for advanced students, but also...

We compare the finite sample performance of a number of Bayesian and classical procedures for limited information simultaneous equations models with weak instruments by a Monte Carlo study. We consider Bayesian approaches developed by Chao and Phillips, Geweke, Kleibergen and van Dijk, and...

Following recent econometric developments, we use self-assessed general health on a Likert scale conditioned by several objective determinants to measure health disparity between non-Hispanic Whites and minority groups in the United States. A statistical decomposition analysis is conducted to...