Is human trafficking the dark side of economic freedom?

Economic freedom has increased living standards worldwide. Concurrent with such gains are rising concerns about potential human costs associated with free markets. This paper uses data on human trafficking and anti-trafficking policies, in conjunction with a measure of economic freedom, to examine whether free markets exacerbate or attenuate the incidence of human trafficking and policies designed to combat it. We do not find evidence suggesting that economic freedom is associated with human trafficking. In addition, our results suggest that economically free countries are more likely to enact and enforce policies to fight human trafficking.     

Beyond Iran: Containing Nuclear Development in the Middle East

ABSTRACT

Several states in the Middle East have noted their interest in nuclear energy programs, but current cost and timeline estimates understate the difficulties that these states will face. A state-level analysis of nuclear development capacities in Saudi Arabia, Egypt, Jordan, Turkey, and the United Arab Emirates suggests that building nuclear infrastructure in the region will, in fact, be a lengthy and expensive endeavor, due to concerns such as export constraints, public opposition, a lack of human resources, and high overhead costs. This has implications for nuclear weapon nonproliferation: first, fears that these developing nuclear energy capabilities may facilitate possible weapon proliferation are premature, and second, there is time to ensure that any burgeoning nuclear infrastructure in the region remains safe and civilian in nature.     

Technical note: A computationally efficient algorithm for undiscounted Markov decision processes with restricted observations

We present a computationally efficient procedure to determine control policies for an infinite horizon Markov Decision process with restricted observations. The optimal policy for the system with restricted observations is a function of the observation process and not the unobservable states of the system. Thus, the policy is stationary with respect to the partitioned state space. The algorithm we propose addresses the undiscounted average cost case. The algorithm combines a local search with a modified version of Howard's (Dynamic programming and Markov processes, MIT Press, Cambridge, MA, 1960) policy iteration method. We demonstrate empirically that the algorithm finds the optimal deterministic policy for over 96% of the problem instances generated. For large scale problem instances, we demonstrate that the average cost associated with the local optimal policy is lower than the average cost associated with an integer rounded policy produced by the algorithm of Serin and Kulkarni Math Methods Oper Res 61 (2005) 311–328. © 2008 Wiley Periodicals, Inc. Naval Research Logistics 2009