We develop inference tools in a semiparametric regression model with missing response data. A semiparametric regression imputation estimator, a marginal average estimator and a (marginal) propensity score weighted estimator are defined. All the estimators are proved to be asymptotically normal,...

This study uses a longitudinal data source to study the effects of conflict-induced displacement on labour market outcomes for Bosnians in post-war Bosnia and Herzegovina. To account for endogeneity in the displacement status, I exploit the fact that the level of violence in the pre-war...

Power law or generalized polynomial regressions with unknown real-valued exponents and coefficients, and weakly dependent errors, are considered for observations over time, space or space-time. Consistency and asymptotic normality of nonlinear least squares estimates of the parameters are...

Evidence that asset returns are more highly correlated during volatile markets and during market downturns (see Longin and Solnik, 2001, and Ang and Chen, 2002) has lead some researchers to propose alternative models of dependence. In this paper we develop two simple goodness-of-fit tests for...

Governments around the world want to develop their ICT and digital industries. Policymakers thus need a clear sense of the size and characteristics of digital businesses, but this is hard to do with conventional datasets and industry codes. This paper uses innovative ‘big data’ resources to...

This paper adopts a counterfactual decomposition analysis to analyse cross-country differences in the size of household wealth and levels of household wealth inequality. The findings of the paper suggest that the biggest share of cross-country differences is not due to differences in the...

Although most US income inequality research is based on public-use March CPS data, a new wave of research using IRS tax-return data reports substantially faster inequality growth for recent years. We show that these apparently inconsistent estimates are largely reconciled when the income...

A startling fact of firm level productivity analysis is the large and persistent differences in both labour productivity and total factor productivity (TFP) between firms in narrowly defined sectoral classes. The competitiveness of an industry is potentially an important factor explaining this...