The Economist as Engineer: Game Theory,Experimentation, and Computation as Tools for Design Economics

Economists have lately been called upon not only to analyze markets, but to design them. Market design involves a responsibility for detail, a need to deal with all of a market's complications, not just its principle features. Designers therefore cannot work only with the simple conceptual models used for theoretical insights into the general working of markets. Instead, market design calls for an engineering approach. Drawing primarily on the design of the entry level labor market for American doctors (the National Resident Matching Program), and of the auctions of radio spectrum conducted by the Federal Communications Commission, this paper makes the case that experimental and computational economics are natural complements to game theory in the work of design. The paper also argues that some of the challenges facing both markets involve dealing with related kinds of complementarities, and that this suggests an agenda for future theoretical research.     

Achievements of and challenges facing the Korean Disabled People’s Movement

Abstract

This paper provides a critical review of the development of the disabled people’s movement in South Korea since 1945, reflecting both its achievements and the obstacles it has faced. In particular, political positions and responses to the movement’s agitation against socio-cultural discrimination and inequality are discussed. Further, three key theoretical foundations of the movement are examined in order to describe the diversity inherent therein. This paper concludes that the disabled people’s movement has heavily influenced the values, norms, and systems of Korean society, but it has predominantly focused on integrating disability issues into policy and legislation, not on changing society and culture. Hence, the Korean Disabled People’s Movement is currently facing many challenges that are major threats towards its future development.     

Task Analysis for Industrial Work Process from Aspects of Human Reliability and System Safety

In the design, development, and manufacturing stage of industrial products, engineers usually focus on the problems caused by hardware or software, but pay less attention to problems caused by human error, which may significantly affect system reliability and safety. Although operating procedures are strictly followed, human error still may occur occasionally. Among the influencing factors, the inappropriate design of standard operation procedure (SOP) or standard assembly procedure (SAP) is an important and latent reason for unexpected results found during human operation. To reduce the error probability and error effects of these unexpected behaviors in the industrial work process, overall evaluation of SOP or SAP quality has become an essential task. The human error criticality analysis (HECA) method was developed to identify the potentially critical problems caused by human error in the human operation system. This method performs task analysis on the basis of operation procedure. For example, SOP, analyzes the human error probability (HEP) for each human operation step, and assesses its error effects to the whole system. The results of the analysis will show the interrelationship that exists between critical human tasks, critical human error modes, and human reliability information of the human operation system. To identify the robustness of the model, a case study of initiator assembly tasks was conducted. Results show that the HECA method is practicable in evaluating the operation procedure, and the information is valuable in identifying the means to upgrade human reliability and system safety for human tasks.     

Odds ratio for a single 2 × 2 table with correlated binomials for two margins

While analyzing 2 × 2 contingency tables, the log odds ratio for measuring the strength of association is often approximated by a normal distribution with some variance. We show that the expression of that variance needs to be modified in the presence of correlation between two binomial distributions of the contingency table. In the present paper, we derive a correlation-adjusted variance of the limiting normal distribution of log odds ratio. We also propose a correlation adjusted test based on the standard odds ratio for analyzing matched-pair studies and any other study settings that induce correlated binary outcomes. We demonstrate that our proposed test outperforms the classical McNemar’s test. Simulation studies show the gains in power are especially manifest when sample size is small and strong correlation is present. Two examples of real data sets are used to demonstrate that the proposed method may lead to conclusions significantly different from those reached using McNemar’s test.     

Sortabilities of Partition Properties

Consider the partition of a set of integers into parts. Various partition properties have been proposed in the literature to facilitate the restriction of the focus of attention to some small class of partitions. Recently, Hwang, Rothblum and Yao defined and studied the sortability of these partition properties as a tool to prove the existence of a partition with such a property in a given family. In this paper we determine the sortability indices of the seven most interesting properties of partitions providing a complete solution to the sortability issue.     

APPLICATION OF SEMIPARAMETRIC REGRESSION MODELS IN THE ANALYSIS OF CAPTURE-RECAPTURE EXPERIMENTS

If the capture probabilities in a capture‐recapture experiment depend on covariates, parametric models may be fitted and the population size may then be estimated. Here a semiparametric model for the capture probabilities that allows both continuous and categorical covariates is developed. Kernel smoothing and profile estimating equations are used to estimate the nonparametric and parametric components. Analytic forms of the standard errors are derived, which allows an empirical bias bandwidth selection procedure to be used to estimate the bandwidth. The method is evaluated in simulations and is applied to a real data set concerning captures of Prinia flaviventris, which is a common bird species in Southeast Asia.     

Go Strong or Go Home: An Interview with David Bloor

Widely read in many areas, Professor David Bloor is arguably the pre-eminent authority in the field of STS (Science, Technology and Society). Since his influential book, Knowledge and Social Imagery, was published in 1976, the Strong Programme and its four tenets have become widely known. Professor Bloor was a member of the so-called Edinburgh School who proposed that scientific knowledge could not, and should not, be exempted from sociological analysis. Inspired by Wittgenstein’s philosophy, Professor Bloor and his colleagues introduced the concept of finitism to further explain why all knowledge claims are constructed in a specific social frame, to which sociologists have a lot to contribute. Noting the special intellectual position of finitism, this interview started from this topic. We then moved onto the achievements of the Strong Programme in the past 30 years. Professor Bloor also explained his recent work and the way STS beginners discover meaningful case studies. We ended this interview by asking his suggestions toward the burgeoning STS field in East Asia. This interview with Professor Bloor is a step toward a deeper understanding of the Edinburgh School.     

Evaluations of FWER-controlling methods in multiple hypothesis testing

Simultaneously testing a family of n null hypotheses can arise in many applications. A common problem in multiple hypothesis testing is to control Type-I error. The probability of at least one false rejection referred to as the familywise error rate (FWER) is one of the earliest error rate measures. Many FWER-controlling procedures have been proposed. The ability to control the FWER and achieve higher power is often used to evaluate the performance of a controlling procedure. However, when testing multiple hypotheses, FWER and power are not sufficient for evaluating controlling procedure’s performance. Furthermore, the performance of a controlling procedure is also governed by experimental parameters such as the number of hypotheses, sample size, the number of true null hypotheses and data structure. This paper evaluates, under various experimental settings, the performance of some FWER-controlling procedures in terms of five indices, the FWER, the false discovery rate, the false non-discovery rate, the sensitivity and the specificity. The results can provide guidance on how to select an appropriate FWER-controlling procedure to meet a study’s objective.     

International Dimensions of Post-1980 Internal Migration in the United States: The Role of Sustenance Specialization and Dominance

Post-1980 internal migration patterns were unanticipated, and prevailing explanations of them fail to account for the effects of new international relationships. A human ecological theory is developed which suggests an explanation based on the sphere of sustenance activities in ecosystems and relative dominance in these activities. Larger net migration was expected for counties specialized in activities that operate in international ecosystems in which the United States is dominant and less in other types of counties. The results for post-1980 migration in United States counties support these expectations and the utility of an expanded human ecological perspective.