Economic Evidence on the Effects of the Indian Gaming Regulatory Act on Indians and Non-Indians

When Congress passed the Indian Gaming Regulatory Act (IGRA) in 1988, some tribal leaders perceived the state compacting provision required for casino-style gaming on tribal lands as an erosion of tribal sovereignty that could undermine their early economic development successes and disrupt a precariously successful federal-tribal relationship with regard to tribal self-determination. In hindsight, however, the substantial growth and myriad positive impacts of the first twenty years of tribal gaming under IGRA reveal the ways that the federal regulatory framework laid out in the law resolved numerous legal dilemmas that had plagued tribal gaming expansion. It is now clear that the predictability provided by successful tribal- state compact negotiations allowed the necessary capital investments to produce a robust tribal government gaming industry across much of Indian Country. Therefore, an analysis of tribal government gaming’s impacts on tribal communities and neighboring localities is best framed in the context of the federal law that continues to shape the industry today

Motivating and inhibiting factors in online gambling behaviour: a grounded theory study

To date, there has been very little empirical research examining why people gamble online or – just as importantly – why they do not gamble online. A grounded theory study examining the motivating and inhibiting factors in online gambling was carried out. The sample comprised 15 online gamblers, 14 offline gamblers, and 11 non-gamblers, and resulted in the identification of one major theme as to why participants were motivated to gamble online (i.e., greater opportunity to gamble) and four sub-themes (i.e., convenience, value for money, the greater variety of games, and anonymity). The main reason that inhibited online gambling was that the authenticity of gambling was reduced when gambling online. Four further sub-themes were identified as inhibitors of online gambling (i.e., the reduced realism, the asocial nature of the internet, the use of electronic money, and concerns about the safety of online gambling websites). Results also indicated that the participants’ perception was that online gambling was more addictive than offline gambling and that online gambling would exacerbate gambling problems in society

A Platform for the Analysis of Qualitative and Quantitative Data about the Built Environment and its Users

There are many scenarios in which it is necessary to collect data from multiple sources in order to evaluate a system, including the collection of both quantitative data - from sensors and smart devices - and qualitative data - such as observations and interview results. However, there are currently very few systems that enable both of these data types to be combined in such a way that they can be analysed side-by-side. This paper describes an end-to-end system for the collection, analysis, storage and visualisation of qualitative and quantitative data, developed using the e-Science Central cloud analytics platform. We describe the experience of developing the system, based on a case study that involved collecting data about the built environment and its users. In this case study, data is collected from older adults living in residential care. Sensors were placed throughout the care home and smart devices were issued to the residents. This sensor data is uploaded to the analytics platform and the processed results are stored in a data warehouse, where it is integrated with qualitative data collected by healthcare and architecture researchers. Visualisations are also presented which were intended to allow the data to be explored and for potential correlations between the quantitative and qualitative data to be investigated

Political economy of Indian gaming: the New England experience

Gambling industry

Why They Say No (Casi— No ): Countries that Reject Legalized Casino Gambling

Most world venues have legalized casino gambling. Indeed, the numbers of venues has been growing rapidly. In 1986, seventy-seven nations permitted legal casino gambling; in 1996, 109; while recent reports indicate 132 countries have casinos. Nonetheless, there are several cases of jurisdictions rejecting the legalization of casinos. This article seeks to find common reasons for the rejections, and examines the following ten venues: Bhutan, Brazil, Japan, Liechtenstein, Iceland, India, Ireland, Israel, Mexico, and Norway. The study utilizes a framework from the book The Last Resort: Success and Failure in Campaigns for Casinos, by John Dombrink and William N. Thompson. The authors developed a “Veto Model” for explaining why American states rejected casinos in the decades before 1990. Major veto factors influencing casino campaign outcomes included: (1) the economic conditions and state experiences with gambling, (2) the position of political and business elites, and other gaming interests; (3) campaign sponsorship; and (4) whether the dominant issue in a campaign was economics or crime and social problems. For successful campaigns (e.g. Atlantic City, 1976), all factors had to be supportive of casinos

The Cowl - v.79 - n.3 - Sep 18, 2014

The Cowl - student newspaper of Providence College. Vol 79 - No. 3 - September 18, 2014. 24 pages

Social interactions of chronic psychiatric patients in organized ward recreational programs

Thesis (M.S.)--Boston Universit

Estimating Subjective Probabilities

Subjective probabilities play a role in many economic decisions. There is a large theoretical literature on the elicitation of subjective probabilities, and an equally large empirical literature. However, there is a gulf between the two. The theoretical literature proposes a range of procedures that can be used to recover subjective probabilities, but stresses the need to make strong auxiliary assumptions or "calibrating adjustments" to elicited reports in order to recover the latent probability. With some notable exceptions, the empirical literature seems intent on either making those strong assumptions or ignoring the need for calibration. We illustrate how the joint estimation of risk attitudes and subjective probabilities using structural maximum likelihood methods can provide the calibration adjustments that theory calls for. This allows the observer to make inferences about the latent subjective probability, calibrating for virtually any well-specified model of choice under uncertainty. We demonstrate our procedures with experiments in which we elicit subjective probabilities. We calibrate the estimates of subjective beliefs assuming that choices are made consistently with expected utility theory or rank-dependent utility theory. Inferred subjective probabilities are significantly different when calibrated according to either theory, thus showing the importance of undertaking such exercises. Our findings also have implications for the interpretation of probabilities inferred from prediction markets.

Poverty, politics, and preferences: Field experiments and survey data from Vietnam

We conducted field experiments to investigate how wealth, political history, occupation, and other demographic variables (from a comprehensive earlier household survey) are correlated with risk, time discounting and trust in Vietnam. Our experiments suggest risk and time preferences depend on the stage of economic development. In wealthier villages, people are less loss-averse and more patient. Our research also shows people who participate in ROSCAs (rotating credit associations) are more patient than non-participant, but those who participate in bidding ROSCAs are less patient and more risk averse than those who participate in fixed ROSCAs. Results from a trust game demonstrate both positive and negative effects of communism. Villagers in the South tend to invest more in low-income partners without expecting repayment. On the other hand, people in the north are more trustworthy but do not pass on more money to the poor. Our findings also suggest market activities, like starting a small trade business, are correlated with trust and trustworthiness. We also contribute to experimental methodology by using choices that separate different aspects of risk aversion and time preferences in behavioral economics specifications