This paper uses the Kaldor-Hicks compensation principle to compute the present value (PV) of a non-marginal future event. Three theoretical results stand out: first, decreasing returns to capital create a wedge between the PV of future generations’ willingness to pay (WTP) and the PV of their willingness to accept compensation (WTA); second, the discount rates implicit in the computation of the...

Disorders of sex development (DSD) with or without ambiguous genitalia require medical attention to reach a definite diagnosis. Advances in identification of molecular causes of abnormal sex, heightened awareness of ethical issues and this necessitated a re-evaluation of nomenclature. The term DSD was proposed for congenital conditions in which chromosomal, gonadal or anatomical sex is atypical...

Line balancing problems consist on assigning tasks to stations and/or workers in a restricted way. Most models deal with simple versions of this problem not taking into account real world restrictions. In this paper we present a new re-balancing model that takes into account assignment restrictions and builds the variable sets in a more efficient way. The model also takes into consideration wor...

In this paper, we studied the assembly line worker assignment and balancing problem, which is an extension of the classical assembly line balancing problem in which an optimal partition of the assembly work among the stations is sought along with the assignment of the operators to the stations. The relationship between this problem and several other well-studied problems is explored, and new lo...

We examine the interaction between risk (uncertainty) and production efficiency in determining pay-performance sensitivity in optimal executive compensation. Particularly, we show that the risk-incentive trade-off is exacerbated (attenuated) as production efficiency increases when the efficiency level is greater (less) than the level of compensation risk. This result suggests that the optimalit...

MapReduce has become a popular paradigm for large scale data processing in the cloud. The sheer scale of MapReduce deployments make task assignment in MapReduce an interesting problem. The scale of MapReduce applications presents unique opportunity to use data driven algorithms in resource management. We present a learning based scheduler that uses pattern classification for utilization oriente...

This paper explores the consequences and implications of the “dual role of promotion” in an environment where a firm must simultaneously achieve two distinct goals – assignment and incentive provision – via the strategic use of promotions. We argue that the efficient promotion rule is generally not implementable, as it necessarily entails timeinconsistent objectives: the firm is always tempted ...

Crowdsourcing markets have gained popularity as a tool for inexpensively collecting data from diverse populations of workers. Classification tasks, in which workers provide labels (such as “offensive” or “not offensive”) for instances (such as “websites”), are among the most common tasks posted, but due to human error and the prevalence of spam, the labels collected are often noisy. This proble...