Optimal Drug Control under Risk of Drug Resistance – The Case of African Animal Trypanosomosis

We examine two widely used treatment strategies for African animal trypanosomosis in West Africa: preventive drug control ex‐ante trypanosomosis infection and curative drug control ex‐post trypanosomosis infection. We investigate which combination of these alternative strategies is economically optimal for cattle farmers. We apply a dynamic optimisation framework to consider both the negative externality of drug resistance development and human behaviour. We develop a bio‐economic model to simulate the economic consequences of treatment strategies in a dynamic scenario that takes into account the interactions among the vector, host and livestock farmers. This model allows for the evolution of drug‐resistant trypanosomes through trypanocide misuse and simulates the observed behaviours of cattle farmers based on the elicited risk and time preferences of a sample of 202 cattle farmers in Mali and Burkina Faso. The results show that the private optimal mix of treatment strategies for a risk averse and patient farmer involves preventive treatment for susceptible cattle, supported by a small number of curative treatments for infected cattle. Compared with the treatment strategies observed in the field, this optimal mix of treatment strategies would save approximately 5% of the annual income of a livestock farmer in the study area and would reduce the prevalence of trypanosomosis. In addition, we demonstrate that a reduction in a farmer's risk aversion is associated with higher treatment rates that can avoid additional losses. By contrast, a decrease in a farmer's patience is related to lower treatment rates that thwart additional benefits. Our results suggest that individual risk and time preferences need to be considered in the development process of disease control interventions.     

The value of (bounded) memory in a changing world

This paper explores the value of memory in decision making in dynamic environments. We examine the decision problem faced by an agent with bounded memory who receives a sequence of signals from a partially observable Markov decision process. We characterize environments in which the optimal memory consists of only two states. In addition, we show that the marginal value of additional memory states need not be positive and may even be negative in the absence of free disposal.     

Yield spreads,currency movements,and recession predictability for southern border economies in the United States

Prior research establishes that the spread between long- and short-term bond yields often provides valuable information for predicting business cycle downturns. This study examines the predictive capacity of the yield spread for the United States metropolitan economies situated along the border with Mexico. Because of the location of these urban economies and various economic ties linking them with twin cities across the border, the Mexico yield spread, and the real dollar/peso exchange rate are also employed as potential recession predictors. Results suggest that a flattening of the yield curve for either country tends to increase the probability of recessions in border economies. Furthermore, declines in the real value of the peso, which are typically associated with greater cross-border manufacturing activity, are found to reduce recession likelihoods in the metropolitan economies examined on the north side of the international boundary.     

Testing convergence of European regions: A semiparametric approach

We provide a reappraisal of income convergence across European regions over the last two decades by using a semiparametric partially linear model to approximate the relationship between the average growth rate of GDP per capita and the initial GDP per capita. Estimation results point out both country heterogeneity and non-linearity in the convergence process. The findings suggest that low income regions, in particular those from new adhesion countries, diverge while medium income regions converge and that there is no evidence of convergence for high income regions.     

A machine-learning based hybrid algorithm for strategic location of urban bundling hubs to support shared public transport

Quality & Quantity - The location problem of Bundling Hubs (BHs) remains a contentious issue for efficient shared transportation systems. In this respect, the strategic configuration of BHs...     

A dynamic approach for aircraft assignment and maintenance scheduling by airlines

The problems of assigning planes to flights and of fleet maintenance operations scheduling are considered in this paper. While recent approaches make use of artificial intelligence techniques running on main frame computers to solve combinatorial optimization problems for nominal operations, a dynamic approach is proposed here to face on-line operation conditions. The proposed solution mixes a Dynamic Programming approach (to cope with the fleet assignment problem) and a heuristic technique (to solve the embedded maintenance schedule problem). When applied to a medium charter airline, this approach shows acceptability characteristics for operational staffs, while providing efficient solutions. The proposed solution scheme can be considered as the basis for the development of an on-line decision support system for fleet operations management within airlines.     

Inflation and the Income Share of the Rich: Evidence for 14 OECD Countries

This paper examines the distributional implications of inflation on top income shares in 14 advanced economies using data over the period 1920–2016. We use local projections to analyze how top income shares respond to an inflation shock, and panel regressions in which all variables are defined as 5-year averages to examine the impact of inflation on the position of the top-one-percent in the long run. Our findings suggest that inflation reduces the share of national income held by the top 1 percent. Furthermore, we find that inflation shocks and long-run inflation have similar effects on top income shares.     

The Impact of Inequality and Redistribution on Growth

In this paper, we reassess the impact of inequality on growth. The majority of previous papers have employed (system) GMM estimation. However, recent simulation studies indicate that the problems of GMM when using non‐stationary data such as GDP have been grossly underestimated in applied research. Concerning predetermined regressors such as inequality, GMM is outperformed by a simple least‐squares dummy variable estimator. Additionally, new data have recently become available that not only double the sample size compared to most previous studies, but also address the substantial measurement issues that have plagued past research. Using these new data and an LSDV estimator, we provide an analysis that both accounts for the conditions where inequality is beneficial or detrimental to growth and distinguishes between market‐driven inequality and redistribution. We show that there are situations where market inequality affects growth positively while redistribution is simultaneously beneficial.     

Financial Development,Foreign Banks and Economic Growth in Africa

This study aims to examine and analyze the impact of financial development and foreign bank penetration on African economies. An empirical study for the period 1995–2015 is conducted using the system GMM estimator. Our empirical results indicate that foreign bank entry has a positive and significant impact on economic growth in the countries of North and Southern Africa, while in the other two regions considered in this study (West and Central Africa, East Africa) the impact is negative and rarely significant. In addition, our results show that the development of financial markets has a positive and significant effect on economic growth only in the Southern African region. The paper concludes that policymakers should focus on long‐term policies to strengthen the financial sector to truly meet the needs of African people.