Voting Technology,Political Responsiveness,and Infant Health: Evidence From Brazil

This paper studies the introduction of electronic voting technology in Brazilian elections. Estimates exploiting a regression discontinuity design indicate that electronic voting reduced residual (error‐ridden and uncounted) votes and promoted a large de facto enfranchisement of mainly less educated citizens. Estimates exploiting the unique pattern of the technology's phase‐in across states over time suggest that, as predicted by political economy models, it shifted government spending toward health care, which is particularly beneficial to the poor. Positive effects on both the utilization of health services (prenatal visits) and newborn health (low‐weight births) are also found for less educated mothers, but not for the more educated.     

Adaptation and validation of the Japanese version of the Gambling Urge Scale

In Japan, accurately assessing and targeting gambling urges is important for the treatment of gambling disorder because people are constantly exposed to external triggers that elicit gambling urges. However, a valid measure that assesses gambling urges has not been adequately established. Therefore, the purpose of this study was to examine the psychometric properties of the Japanese version of the Gambling Urge Scale (GUS-J), which is a well-known valid 6-item instrument in English-speaking countries. Two hundred and thirty-nine participants completed questionnaires, 86 of which met the criteria for a probable gambling disorder. As with the original GUS, the GUS-J was demonstrated to be a one-factor model that accounted for 63.82% of the total item variance, with all items demonstrating loadings of .40 or higher. With regard to reliability, the GUS-J showed good internal consistency (α = .88). Furthermore, validity based on evidence of relationships with other variables, especially convergent and concurrent validity of the GUS-J, were supported by several analyses that examined hypotheses based on previous findings. In conclusion, this study showed that the GUS-J has good psychometric properties as an assessment tool for gambling urges in Japanese people and it will be useful for future clinical practice and research.     

The Extraction of Nonverbal Behaviors: Using Video Images and Speech-Signal Analysis in Dyadic Conversation

This study examined the validity and possible utility of a new procedure for the extraction of nonverbal behaviors from dyadic conversation. Three methods were used to extract nonverbal behaviors (i.e., hand gestures, adaptors, and utterances). A novel automated method employing video images and speech-signal analysis software programs was compared to the more traditional coding and behavioral rating methods. The automated and coding methods provided an objective count of how many times a target behavior occurred, while behavioral ratings were based on more subjective impressions. Although there was no difference between the automated and coding methods for hand gestures, the coding method using an event recorder yielded marginally significantly more instances of adaptors and utterances as compared to the software programs. Measures of each nonverbal behavior were positively correlated across the different methods. In addition, interpersonal impressions of each speaker were rated by both observers and conversational partners. Although R ² was lower than for the coding/behavioral rating methods, nonverbal behaviors extracted using the software programs significantly predicted familiarity and activeness ratings from both observer and partner points of view. These results support the validity and possible utility of the software-based automated extraction procedure.     

A model for the coordination of recovery policies in the OECD region

The paper presents a world econometric model of the LINK type, which is then applied to the study of the recovery prospects of the OECD economies. Specifically, several policy packages coordinated at the international level are assessed for the period 1978–1980.The model includes country specific macroeconomic structures for eight developed economies, and different type structures for five additional developing countries. The obvious policy and behavioral differences that exist between these two groups of countries are highlighted through the specification, in one case, of demand-oriented Keynessian models able to capture short-term cyclical phenomena. The supply orientation with several resource gaps (savings, foreign exchange, etc.) prevails for the developing economies. The two sections after the introduction review broadly the main modeling features of the project, including the international comparison of structural parameters. In the following sections several policy experiments are attempted. The underlying behavioral assumptions stress the community of interest that prevails among OECD economies. These experiments consider the case of stimulative policies adopted in (1) the United States alone, (2) three engine countries (United States, Federal Republic of Germany, and Japan), and (3) several developed countries that are part of the OECD system. Other experiments assume additional policy packages to correct present current account imbalances. The general conclusion of the study is that the prospects for economic recovery in the OECD area depend to a crucial extent on the ability of the member countries to agree on policies able to make the major economic indicators of each economy converge toward levels that are domestically manageable and mutually supporting.     

Bayes Estimation of Intraclass Correlation Coefficients Under Unequal Family Sizes

Bayesian inference for the intraclass correlation ρ is considered under unequal family sizes. We obtain the posterior distribution of ρ and then compare the performance of the Bayes estimator (posterior mean of ρ) with that of Srivastava's (1984) estimator through simulation. Simulation study shows that the Bayes estimator performs better than the Srivastava's estimator in terms of lower mean square error. We also obtain large sample posteriors of ρ based on the asymptotic posterior distribution and based on the Laplace approximation.     

On the best possible competitive ratio for the multislope ski-rental problem

The multislope ski-rental problem is an extension of the classical ski-rental problem, where the player has several lease options besides the pure rent and buy options. In this problem the hardness of an instance, which is the setting of options, significantly affects the player’s performance. There is an algorithm that for a given instance, computes the best possible strategy. However, the output is given as numerical values and therefore the relational nature between an instance and the best possible performance for it has not been known. In this paper we prove that even for the easiest instance, a competitive ratio smaller than \(e/(e - 1) \approx 1.58\) cannot be achieved. More precisely, a tight lower bound on the best possible performance is obtained in a closed form parametrized by the number of options. Furthermore, we establish a matching upper and lower bound on the competitive ratio each for the 3-option and 4-option problems.     

A Small Sample Test for the Equality of Intraclass Correlation Coefficients Under Unequal Family Sizes for Several Populations

The set of all distinct blocks of a BIBD(v,b,r,k,λ) is referred to as the support of the design. In this paper, the family of BIB designs with v=9 and k=3 is studied from the view of possible support sizes, b*'s. A table is constructed of designs with support sizes belonging to {12,18,20,21,…,84}, for minimum possible b in each case and for any larger admissible b. In constructing this table the methods of trade-off and composition of designs are utilized