The disconnect between price variability of wholesale electricity sales and the uniformity of the retail prices observed by most consumers results in well documented inefficiencies. Time-of-use (“TOU”) electricity tariffs offer a middle-ground between dynamic wholesale prices and flat retail...

We use a computational linguistic algorithm to measure the topics covered in the text of school teacher contracts in Ohio. We use the topic modeling metrics in a calculation of the concentration of topics covered. This allows us to assess how expansive each contract is. As a proof of concept, we...

Employers are increasingly using automated hiring systems to assess job applicants, with potentially discriminatory effects. This paper considers the effectiveness of EU-derived laws, which regulate the use of these algorithms in the UK. The paper finds that while EU data protection and equality...

The study entitled Web-based Agent Incentive System using Role-based Algorithm with SMS notification was designed and developed for networking businesses located at Digos City and beyond the province of Davao del Sur. The study provides an efficient and reliable calculation of incentives to...

What are the statistical and computational problems associated with robust nonlinear regression? This paper presents a number of possible approaches to these problems and develops a particular algorithm based on the work of Powell and Dennis

The soccer referee stands in for a judge. Soccer’s Video Assistant Referee (“VAR”) system stands in for algorithms that augment human deciders. Fair play stands in for justice. They are combined and set in a polycentric system of governance, with implications for designing, administering,...

Information technologies has affected so many aspects of daily life that algorithmic society is not considered science fiction anymore. When it comes to marketplaces and business strategies, it has been observed that a growing number of firms are using algorithms for dynamic price setting,...

A third party developer designs and sells a pricing algorithm that enhances a firm's ability to tailor prices to a source of demand variation, whether high-frequency demand shocks or market segmentation. The equilibrium pricing algorithm is characterized that maximizes the third party's profit...

There is a widespread hope that, in the near future, algorithms become so sophisticated that ``solutions" to most problems are found by machines. In this note, we throw some doubts on this expectation by showing the following impossibility result: given a set of finite-memory, finite-iteration...

Increasingly, firms use algorithms powered by artificial intelligence to set prices. Previous research studies interactions among Q-learning algorithms in a simulated oligopoly model of price competition. The algorithms learn collusive strategies but require a long time that corresponds to...