With the trade normalization process between India and Pakistan gathering momentum since November 2011, new opportunities for enhancing bilateral trade have opened between the two countries. This study estimates the trade potential between India and Pakistan, and examines how this potential can...

With the ongoing trade normalisation process between India and Pakistan, opportunities to integrate have opened up between both countries. The pharmaceutical sector is crucial to health issues in developing economies and would be an ideal segment to focus on in improving trade relations between...

Political debates and economic analyses often focus on single free trade agreements and their potential economic effects on participating trading partners. This study contributes to the literature by shedding light on the significance of trade agreements in the context of countries' positions in...

We develop an extension of the familiar linear mixed logit model to allow for the direct estimation of parametric non-linear functions defined over structural parameters. A classic application is the estimation of coefficients of utility functions to characterize risk attitudes. There are...

Atkinson et al. (2018) propose a measure of the glass ceiling exploiting that top incomes are approximately Pareto distributed. We clarify how this glass-ceiling coefficient describes the increasing scarcity of women further up in the income distribution and show how it relates to the top-income...

Detection of structural change is a critical empirical activity, but continuous 'monitoring' of series, for structural changes in real time, raises well-known econometric issues that have been explored in a single series context. If multiple series co-break then it is possible that simultaneous...

The objectives pursued by governments managing fisheries may include maximizing profits, minimizing the impact on the marine ecosystem, or securing employment, which all require adjusting the composition of the fishing fleet. We develop a management plan that can be adapted to those objectives...

We consider time series forecasting in the presence of ongoing structural change where both the time series dependence and the nature of the structural change are unknown. Methods that downweight older data, such as rolling regressions, forecast averaging over different windows and exponentially...

In this paper we introduce the general setting of a multivariate time series autoregressive model with stochastic time-varying coefficients and time-varying conditional variance of the error process. This allows modeling VAR dynamics for non-stationary times series and estimation of time varying...