Ordinal Bivariate Inequality: Concepts and Application to Child Deprivation in Mozambique

This paper introduces a concept of inequality comparisons with ordinal bivariate categorical data. In our model, one population is more unequal than another when they have common arithmetic median outcomes and the first can be obtained from the second by correlation‐increasing switches and/or median‐preserving spreads. For the canonical 2 × 2 case (with two binary indicators), we derive a simple operational procedure for checking ordinal inequality relations in practice. As an illustration, we apply the model to childhood deprivation in Mozambique.     

Access price structure and entrant build-or-buy incentives in mobile markets

Journal of Regulatory Economics - We consider a market structure with three mobile providers, two of which are vertically integrated with nationwide coverage. The third provider (an entrant)...     

Balanced Scorecards: A Relational Contract Approach

Reward systems based on balanced scorecards often connect pay to an index, that is, a weighted sum of multiple performance measures. We show that such an index contract may indeed be optimal if performance measures are nonverifiable so that the contracting parties must rely on self-enforcement. Under commonly invoked assumptions (including normally distributed measurements), we show that the weights in the index reflect a tradeoff between distortion and precision for the measures. The efficiency of the contract improves with higher precision of the index measure, because this strengthens incentives, and correlations between measurements may for this reason be beneficial. There is a caveat, however, because the index contract is not necessarily optimal for very precise measurements, although it is shown to be asymptotically optimal. We also consider hybrid measurements, and show that the principal may want to include verifiable performance measures in the relational index contract in order to improve incentives, and that this has noteworthy implications for the formal contract.     

Monetary Policy and Inequality

We analyze the distributional effects of monetary policy on income, wealth, and consumption. We use administrative household-level data covering the entire population in Denmark over the period 1987 to 2014 and exploit a long-standing currency peg as a source of exogenous variation in monetary policy. We find that gains from softer monetary policy in terms of income, wealth, and consumption are monotonically increasing in ex ante income. The distributional effects reflect systematic differences in exposure to the various channels of monetary policy, especially nonlabor channels (e.g., leverage and risky assets). Our estimates imply that softer monetary policy increases income inequality.     

Are born global firms really a “new breed” of exporters? Empirical evidence from an emerging market

Journal of International Entrepreneurship - This study investigates and compares born global (BG) firms and non-BG firms in Malaysia. We employed the multigroup analysis technique with structural...