Use of online crowdsourcing platforms for gambling research

Crowdsourcing platforms like Amazon’s Mechnical Turk and Crowdflower have been touted to be a cost-effective way to collect large amounts of behavioural data. Across four large-n studies, gambling-related behaviours, tendencies and traits among participants in these labour markets were examined. In Studies 1 and 2, both conducted on Crowdflower, problem gamblers (as measured by the benchmark Problem Gambling Severity Index) comprised 24.5% and 21.9% of participants, respectively. In Study 3, conducted on Mechanical Turk, problem gamblers comprised 9.0% of participants. In Study 4, a two-wave longitudinal study conducted on Crowdflower, problem gamblers comprised 13.5% of participants in wave one and 14.8% of participants in wave two. In Studies 2 and 3, strong convergent associations were demonstrated across various measures of problem gambling tendencies and general gambling involvement. Furthermore, it was demonstrated that gambling was associated with personality traits (impulsivity, sensation-seeking, self-control), risk attitudes, affect, and behavioural risk-taking consistent with previous research. In Study 4, it was demonstrated that measures of problem gambling have acceptable test-retest reliability. Online crowdsourcing platforms appear to offer access to samples with remarkably high proportions of problem gamblers. However, this characteristic means that such samples are not necessarily representative of gambling tendencies among more general populations.     

Childbearing Behavior Before and After the 1994 Population Policies in Ghana

Due to the high population growth rate in the mid-20th century, the government of Ghana introduced population policies to reduce the growth rate. Encouraging girls’ education and increasing contraceptive use were the two main policy measures to reduce population growth. In order to get a clear picture of the childbearing dynamics of Ghanaian women in response to the population policy of 1994, we analyzed individual reproductive histories from 1969 to 2003 using 2003 Ghana Demographic Health survey data to disentangle patterns by parity, calendar period, and educational groups. Exponential hazard regression models were used to estimate the relative risk of births. We find some evidence of a critical juncture in fertility trends, particularly for the fifth child. In addition, higher parity transition rates continuously declined for women with secondary or higher education and these educational levels were achieved by a higher share of the population after the policy was implemented. The 1994 population policy was successful if only by virtue of the increasing number of women with secondary or higher education. Belonging to this group is not only associated with lower fertility, but this suppressing effect strengthened in the years following the policy implementation. We also suspect that the increasing similarity between women with no education and with primary education reflects the diffusion of contraceptive knowledge and norms related to childbearing. The educational reform and contraceptive initiatives did result in increased education and contraceptive awareness and are therefore beneficial programs.     

Subjective Well-Being in China: Associations with Absolute,Relative, and Perceived Economic Circumstances

Numerous studies examining the impact of income on subjective well-being (SWB) have found significant positive relationships exhibiting decreasing marginal returns. However, the impact of economic circumstances on SWB is better captured through a combination of income, wealth (per capita net worth), and perceived and relative economic conditions. Using data from the Chinese Household Income Project, I find that within rural and urban China, wealth significantly predicts SWB, exhibiting decreasing marginal returns independent of more common measures of economic circumstances such as income and occupational status. Within urban China, these associations decrease in magnitude and significance with the addition of objective relative measures of wealth and income. Finally, I find that subjective perceptions of relative standard of living are strongly associated with SWB independent of other measures. These results highlight the importance of using multiple objective and subjective measures of economic circumstances, demonstrating potential limitations of studies that have focused exclusively on income as a predictor of well-being. Results are interpreted within the context of China’s changing social and economic structure.     

Interviewing children versus tossing coins: accurately assessing the diagnosticity of children's disclosures of abuse

We describe a Bayesian approach to evaluating children's abuse disclosures and review research demonstrating that children's disclosure of genital touch can be highly probative of sexual abuse, with the probative value depending on disclosure spontaneity and children's age. We discuss how some commentators understate the probative value of children's disclosures by: confusing the probability of abuse given disclosure with the probability of disclosure given abuse, assuming that children formally questioned about sexual abuse have a low prior probability of sexual abuse, misstating the probative value of abuse disclosure, and confusing the distinction between disclosure and nondisclosure with the distinction between true and false disclosures. We review interviewing methods that increase the probative value of disclosures, including interview instructions, narrative practice, noncontingent reinforcement, and questions about perpetrator/caregiver statements and children's reactions to the alleged abuse.     

Vowel harmony redux: Correct sounds,English loan words,and the sociocultural life of a phonological structure in Korean1

This paper examines an ideology of standard pronunciation and spelling of English loan words in South Korea through the lens of Korean vowel harmony. I focus specifically on the alternation between an older Japanese‐style ‘a’[a] and a newer Korean‐style ‘?’[?] for the mapping of mid‐vowels from English to Korean. The opposition between ‘a’ and ‘?’ also figures into the dichotomy of vowel classes between ‘yang’ or ‘light’ vowels and ‘yin’ or ‘dark’ vowels in Korean vowel harmony. This opposition is pervasive in Korean's rich stock of denotationally iconic words (e.g. onomatopoeia), where ablaut between vowel classes produces semantic and pragmatic contrasts. I suggest that this latter structure of phonological opposition has an influence on speakers’ perceptions of vowel difference and associated values in English loan words, despite an overarching ideology of standard pronunciation that is based on assumptions about phonetic fidelity. ? ??? ?? ???? ?? ?? ? ??? ? ?????? ????? ?? ??? ???? ????. ??, ?? ???? ‘?’[a]? ‘?’[?]? ??(mapping)?? ?? ??? ??. ??? ?? ????? ‘?’? ?? ?? ??? ? ?????? ???? ???? ??(正音)?? ?????? ??. ?? ‘?’? ????? ???, ??? ???? ??? ????? ?(音)?? ???? ??. ???, ‘?’/‘?’? ??? ??? ???? ?? ????? ????? ??; ?, ??? ????? ????? ??? ??. ??, ????? ???? ????? ??? ??? ??? ? ? ??. ????, ????? ????? ????? ??? ?? ???? ????? ??? ??? ???. [Korean]     

Identifying Mental Disorder from the Faces of Women with Borderline Personality Disorder

Although appearance-based cues can help to diagnose physical illness, visual manifestations of mental disorder may be more elusive. Here, we investigated whether individuals could distinguish women with a serious mental disorder (borderline personality disorder) from demographically- and IQ-matched non-psychiatric controls. Participants rated mentally ill targets as more likely to have a mental disorder from photos more accurately than chance, despite not believing that such judgments were possible. The configuration of facial cues played an important role in these judgments, as interfering with the spatial relationships between facial features reduced participants’ accuracy to chance guessing. Further investigation showed similar results when participants rated the targets for specific mental disorders (borderline personality disorder, major depressive disorder) and rated the mentally ill targets as more depressed, angry, anxious, disgusted, emotionally unstable, distressed, and less happy. Moreover, the depression ratings significantly correlated with the targets’ actual depressive symptoms. Thus, individuals may be able to infer aspects of mental disorder from minimal facial cues.     

ENVIRONMENTALISM,STIMULUS, AND INEQUALITY REDUCTION THROUGH INDUSTRIAL POLICY: DID CASH FOR CLUNKERS ACHIEVE THE TRIFECTA?

The 2009 American Cash for Clunkers program, which subsidized consumers who scrapped old vehicles and purchased new vehicles, was promoted by appealing to multiple constituencies. We evaluate the policy and alternatives according to its stated goals: emissions reductions, economic stimulus, and reducing inequality. We calibrate a dynamic partial equilibrium portfolio model to match consumer expenditure data from 1998 to 2011 focusing on heterogeneity across cars and trucks. We find the program generated $0.17 in environmental benefits, $0.28 in consumer surplus, and $0.31 in net discounted additional spending per subsidy dollar. Since subsidies largely went to middle-income infra-marginal consumers, the program exacerbated consumption inequality. We evaluate alternative policy designs and find no policy which simultaneously improves all outcomes. (JEL H23, L52, L92, D63)     

Nonparametric self-exciting models for computer network traffic

Statistics and Computing - Connectivity patterns between nodes in a computer network can be interpreted and modelled as point processes where events in a process indicate connections being...     

Reactive and proactive aggression in children with and without ADHD and negative emotional lability

Children with attention‐deficit/hyperactivity disorder (ADHD) exhibit marked difficulty with frequent and intense shifts in negative or positive emotions, referred to as emotional lability. This study examines the relationships between negative emotional lability (NEL), ADHD, and reactive and proactive aggression. A community sample of 96 children (53 with ADHD, 43 control) ages 8–12 and their parents completed a baseline session include a diagnostic structured interview and the Reactive–Proactive Aggression Questionnaire (RPAQ). Parents then rated their child's NEL using the Positive and Negative Affect Scale as part of an Ecological Momentary Assessment protocol 3 times a day for 28 days. Seventy‐three participants (37 with ADHD, 36 control) completed the RPAQ at follow‐up. Hierarchical regression analyses indicated that NEL significantly and independently estimates reactive aggression at baseline and follow‐up, regardless of ADHD status. NEL and ADHD status significantly estimates concurrent proactive aggression, but not at follow‐up. Results of this study suggest that NEL accounts for a significant amount of the variability in reactive aggression, a common difficulty in children with ADHD. Further, individuals that are reportedly emotionally labile become more reactively aggressive over time. Both ADHD diagnostic and NEL are predictors of proactive aggression at baseline, although no interaction occurred.     

Dynamic Pricing to Minimize Maximum Regret

We consider a dynamic pricing problem that involves selling a given inventory of a single product over a short, two‐period selling season. There is insufficient time to replenish inventory during this season, hence sales are made entirely from inventory. The demand for the product is a stochastic, nonincreasing function of price. We assume interval uncertainty for demand, that is, knowledge of upper and lower bounds but not a probability distribution, with no correlation between the two periods. We minimize the maximum total regret over the two periods that results from the pricing decisions. We consider a dynamic model where the decision maker chooses the price for each period contingent on the remaining inventory at the beginning of the period, and a static model where the decision maker chooses the prices for both periods at the beginning of the first period. Both models can be solved by a polynomial time algorithm that solves systems of linear inequalities. Our computational study demonstrates that the prices generated by both our models are insensitive to errors in estimating the demand intervals. Our dynamic model outperforms our static model and two classical approaches that do not use demand probability distributions, when evaluated by maximum regret, average relative regret, variability, and risk measures. Further, our dynamic model generates a total expected revenue which closely approximates that of a maximum expected revenue approach which requires demand probability distributions.