We explore the implications of consistency in sequencing problems. We first identify all rules satisfying Pareto indifference, individual rationality, and consistency. Next, we ask whether there is a rule satisfying the three axioms together with either one of two additional own-time monotonicity requirements: an agent should lose (or gain) as a result of changes in his service time. As it turn...

This paper relates democracy, public and private international capital flows, and odious debt. Democracy commits a ruler to pass borrowed funds on to the private sector which builds the country’s international collateral, and the consequent rise in the credit ceiling is a Pareto-improvement up to a point because the ruler can appropriate a smaller share of rising loan. However, the ruler may st...

In an exchange economy under uncertainty with two periods, one physical good, and finitely many states of the world, we show that for every (complete or incomplete) market span there exists a sequence of securities such that if they are introduced into markets one by one, the prices of any security is not affected by the subsequent introduction of newer securities and they together generate the...

Our long-term goal is to improve the accuracy of atmospheric and oceanic deterministic and statistical forecast. Specifically, we seek to maximize deterministic forecast accuracy while minimizing observational and computational cost. We also seek to maximize the accuracy and utility of statistical forecasts, which can provide forecast information beyond the time interval over which deterministi...

This study investigates whether the capital market values the efficiency of firms. After tracing stock returns and efficiency changes of 399 listed insurance firms in 52 countries during the 2002-2008 period, the paper reports a positive and statistically significant relationship between profit efficiency change and market adjusted stock returns. However, there is no robust evidence that cost e...

Case-based planners often face the problem of incurring more computational cost for retrieving and modifying a case for reuse, than what can be saved by reusing the case. We present a case-based planning system that learns the performance of a given planner (called the default planner) in a training phase, and exploits this knowledge to retrieve and reuse cases such that planning effort is save...

In the literature of analyzing extremes, both generalized Pareto distribution and Pareto distribution are employed to infer the tail of a distribution with a known positive extreme value index. Similar studies exist for a known negative extreme value index. Intuitively, one should not employ the generalized Pareto distribution in case of knowing the sign of the extreme value index. In this pape...

A minimal requirement on allocative efficiency in the social sciences is Pareto optimality. In this paper, we identify a far-reaching structural connection between Pareto optimal and perfect partitions that has various algorithmic consequences for coalition formation. In particular, we show that computing and verifying Pareto optimal partitions in general hedonic games and B-hedonic games is in...

Student modeling is an important component of ITS research because it can help guide the behavior of a running tutor and help researchers understand how students learn. Due to its predictive accuracy, interpretability and ability to infer student knowledge, Corbett & Anderson’s Bayesian Knowledge Tracing is one of the most popular student models. However, researchers have discovered problems wi...

This paper presents a trajectory planning algorithm for linear multi-axis systems.It generates smooth trajectories of any order subject to general initial and final con-ditions, and constant state and control constraints. The algorithm is recursive, as itconstructs a high order trajectory using lower order trajectories. Multi-axis trajecto-ries are computed by synchronizing ...