We explore the relationship between import protection and the household distribution of income. We first develop a general-equilibrium mapping from tariffs to household inequality measures. This also yields predictions for linkages between tariffs, development level, and observed household...

In this paper, we demonstrate how age-adjusted inequality measures can be used to evaluate whether changes in inequality over time are due to changes in the age-structure. To this end, we use administrative data on earnings for every male Norwegian over the period 1967-2000. We find that the...

When a very top group of the income distribution, infinitesimal in numbers, owns a finite share S of total income, the Gini coefficient G can be approximated by G*(1 - S) + S, where G* is the Gini coefficient for the rest of the population. We provide a simple formal proof for this expression,...

Data on the life-cycle profiles of inequality in wages, earnings, hours worked and consumption contains precious information for answering questions about the ability of households to insure labor market risk and about the sources of this risk. This Paper demonstrates that the choice of whether...

This Paper studies growth and inequality in China and India – two economies that account for a third of the world’s population. By modelling growth and inequality as components in a joint stochastic process, the Paper calibrates the impact each has no different welfare indicators and on the...

If labour market policies aimed at people with disabilities are effective, we should observe no significant difference in labour market outcomes between disabled and non-disabled individuals. This Paper examines the impact of disability status on labour market outcomes using matching methods...

The estimation of large Vector Autoregressions with stochastic volatility using standard methods is computationally very demanding. In this paper we propose to model conditional volatilities as driven by a single common unobserved factor. This is justified by the observation that the pattern of...

We propose a method for solving and estimating linear rational expectations models that exhibit indeterminacy and we provide step-by-step guidelines for implementing this method in the Matlab-based packages Dynare and Gensys. Our method redefines a subset of expectational errors as new...

We consider estimating volatility risk factors using large panels of filtered or realized volatilities. The data structure involves three types of asymptotic expansions. There is the cross-section of volatility estimates at each point in time, namely i = 1,…, N observed at dates t = 1,…, T:...

This paper describes an algorithm to compute the distribution of conditional forecasts, i.e. projections of a set of variables of interest on future paths of some other variables, in dynamic systems. The algorithm is based on Kalman filtering methods and is computationally viable for large...