Federal Reserve Independence in the Aftermath of the Financial Crisis: Should We Be Worried?

The extraordinary circumstances of the past few years have led to extraordinary responses by the Federal Reserve and other central banks. These ventures into uncharted waters have heightened political scrutiny to the point of raising concern about future independence. In discussing independence of the Federal Reserve, it is important to separate its regulatory and supervisory functions from its monetary policy function. It is the latter in which the question of independence is most important. History indicates that independent monetary policy has been a powerful deterrent to inflation. This paper outlines the threats to Federal Reserve independence, particularly as it exists from the unconventional policies that it pursued to mitigate the financial crisis. Economists have an important role in making the case that monetary policy remains independent.     

The Radiant World of John Virgo

John Virgo gave generously of himself and expected nothing in return. He inspired the same in others. The world has sadness as well as joy, but while he was here, he made it radiant.     

Modelling dependence using skew t copulas: Bayesian inference and applications

We construct a copula from the skew t distribution of Sahu et al. ( 2003 ). This copula can capture asymmetric and extreme dependence between variables, and is one of the few copulas that can do so and still be used in high dimensions effectively. However, it is difficult to estimate the copula model by maximum likelihood when the multivariate dimension is high, or when some or all of the marginal distributions are discrete‐valued, or when the parameters in the marginal distributions and copula are estimated jointly. We therefore propose a Bayesian approach that overcomes all these problems. The computations are undertaken using a Markov chain Monte Carlo simulation method which exploits the conditionally Gaussian representation of the skew t distribution. We employ the approach in two contemporary econometric studies. The first is the modelling of regional spot prices in the Australian electricity market. Here, we observe complex non‐Gaussian margins and nonlinear inter‐regional dependence. Accurate characterization of this dependence is important for the study of market integration and risk management purposes. The second is the modelling of ordinal exposure measures for 15 major websites. Dependence between websites is important when measuring the impact of multi‐site advertising campaigns. In both cases the skew t copula substantially outperforms symmetric elliptical copula alternatives, demonstrating that the skew t copula is a powerful modelling tool when coupled with Bayesian inference. Copyright © 2010 John Wiley & Sons, Ltd.     

A Theoretical Inefficiency in the International Marketing of Tradable Global Warming Emission Permits

When the disutility of global pollution is measured in units of a numeraire good that is polluting in consumption, the marginal rates of substitution in consumption are generally weighted differently in each countrys calculation of marginal damages. In that case, it is inefficient to control global warming by tradable emission permits, which in theory trade at a unique international equilibrium price. This conclusion is derived from a model of Shibata (1996) in which consumption is pervasively polluting in global warming gases. Shibata dubiously based the inefficiency he discovered on the reciprocal external damages of global warming emissions rather than on the nullibicity he posed for a non-polluting numeraire good.JEL Classification Numbers: F02, Q4, Q25     

Local identification of ARMAX structures subject to nonlinear constraints

Summary We obtain necessary and sufficient conditions for the local identification of a simultaneous ARMAX structure whose parameters are subject to nonlinear constraints. A global identification condition is also obtained. The results generalize theWegge [1965] andRothenberg [1971] identification criteria for a classical simultaneous equations model.This paper is preliminary and confidential. Please do not quote its contents without the written permission of the author.     

Regression density estimation using smooth adaptive Gaussian mixtures

We model a regression density flexibly so that at each value of the covariates the density is a mixture of normals with the means, variances and mixture probabilities of the components changing smoothly as a function of the covariates. The model extends the existing models in two important ways. First, the components are allowed to be heteroscedastic regressions as the standard model with homoscedastic regressions can give a poor fit to heteroscedastic data, especially when the number of covariates is large. Furthermore, we typically need fewer components, which makes it easier to interpret the model and speeds up the computation. The second main extension is to introduce a novel variable selection prior into all the components of the model. The variable selection prior acts as a self-adjusting mechanism that prevents overfitting and makes it feasible to fit flexible high-dimensional surfaces. We use Bayesian inference and Markov Chain Monte Carlo methods to estimate the model. Simulated and real examples are used to show that the full generality of our model is required to fit a large class of densities, but also that special cases of the general model are interesting models for economic data.     

A Heckscher–Ohlin–Samuelson Model of Immigration and Capital Transfers

Given that the flow of immigrants from a developing country to an industrialized country increases with the gap in living standards, a welfare version of a Heckscher–Ohlin–Samuelson model is developed in which the equilibrium level of per capita utility in the developing country is some fixed fraction of that in the industrialized country. In searching for an optimal combination of immigration to the industrial country and capital transfer to the poorer country in order to raise that country's standard of living and reduce the number of emigrants, it is found that the international optimum is a corner solution with zero immigration and a positive capital transfer.