Impacts of FTA utilization on firm performance

The international export and investment activities of firms have been widely studied by scholars. In particular, prior studies have focused on two main hypotheses about firms engaged in international activities such as exporting and investing abroad; namely, self-selection of more productive firms into international activities and learning-by-doing international activities. This paper is the first study that explores these hypotheses in regard to firms’ use of free trade agreements (FTAs). We first estimate the propensity score for firms’ use of FTA schemes, and find that larger firms are more likely to participate. Then, by conducting matching analysis using the propensity scores, we find that the use of FTA schemes does not change employment in firms, but does result in more local inputs used and increased exports.

Sources of selection bias in evaluating social programs: An interpretation of conventional measures and evidence on the effectiveness of matching as a program evaluation method

This paper decomposes the conventional measure of selection bias in observational studies into three components. The first two components are due to differences in the distributions of characteristics between participant and nonparticipant (comparison) group members: the first arises from differences in the supports, and the second from differences in densities over the region of common support. The third component arises from selection bias precisely defined. Using data from a recent social experiment, we find that the component due to selection bias, precisely defined, is smaller than the first two components. However, selection bias still represents a substantial fraction of the experimental impact estimate. The empirical performance of matching methods of program evaluation is also examined. We find that matching based on the propensity score eliminates some but not all of the measured selection bias, with the remaining bias still a substantial fraction of the estimated impact. We find that the support of the distribution of propensity scores for the comparison group is typically only a small portion of the support for the participant group. For values outside the common support, it is impossible to reliably estimate the effect of program participation using matching methods. If the impact of participation depends on the propensity score, as we find in our data, the failure of the common support condition severely limits matching compared with random assignment as an evaluation estimator.

Effets des variations dans l’implantation d’un programme sur le risque cardiométabolique dans six CSSS de Montréal sur les résultats chez les patients

En 2011, l’Agence de la santé et des services sociaux de Montréal (ASSSM), en partenariat avec les Centres de santé et services sociaux (CSSS) de la région, a coordonné la mise en œuvre d’un programme de prévention et de prise en charge intégré sur le risque cardiométabolique. Ce programme, s’inspirant du Chronic Care Model et s’adressant aux patients atteints de diabète et d’hypertension artérielle, est d’une durée de deux ans et comporte une séquence de suivis individuels avec l’infirmière et la nutritionniste, de cours de groupe et de séances d’activité physique. L’objectif de ce mémoire est d’évaluer, à l’aide d’un devis quasi-expérimental, l’impact de la variation dans l’implantation de certains aspects du programme dans les six CSSS participant à l’étude sur les résultats de santé des patients. Cinq aspects du programme ont été retenus : les ressources, la conformité au processus clinique prévu dans le programme régional, la maturité du programme, la coordination interne au sein de l’équipe de soins et la coordination externe avec les médecins de 1re ligne. Des analyses de différence de différences, incluant des scores de propension afin de rendre les groupes comparables, ont été effectuées dans le but d’évaluer l’influence de ces aspects sur quatre indicateurs de santé : l’hémoglobine glyquée, l’atteinte de la cible de tension artérielle et l’atteinte de deux cibles d’habitudes de vie concernant la répartition des glucides alimentaires et la pratique d’activité physique. Les résultats indiquent que les indicateurs de santé sélectionnés se sont améliorés chez les patients participant au programme et ce, indépendamment des variations dans son implantation entre les CSSS participant à l’étude. Très peu d’analyses de différence de différences ont en effet relevé un impact significatif des variables d’implantation étudiées sur ces indicateurs. Les résultats suggèrent que les effets bénéfiques d’un tel programme sont davantage tributaires de la prestation des interventions auprès des patients que d’aspects organisationnels liés à son implantation.

Effets des variations dans l’implantation d’un programme sur le risque cardiométabolique dans six CSSS de Montréal sur les résultats chez les patients

En 2011, l’Agence de la santé et des services sociaux de Montréal (ASSSM), en partenariat avec les Centres de santé et services sociaux (CSSS) de la région, a coordonné la mise en œuvre d’un programme de prévention et de prise en charge intégré sur le risque cardiométabolique. Ce programme, s’inspirant du Chronic Care Model et s’adressant aux patients atteints de diabète et d’hypertension artérielle, est d’une durée de deux ans et comporte une séquence de suivis individuels avec l’infirmière et la nutritionniste, de cours de groupe et de séances d’activité physique. L’objectif de ce mémoire est d’évaluer, à l’aide d’un devis quasi-expérimental, l’impact de la variation dans l’implantation de certains aspects du programme dans les six CSSS participant à l’étude sur les résultats de santé des patients. Cinq aspects du programme ont été retenus : les ressources, la conformité au processus clinique prévu dans le programme régional, la maturité du programme, la coordination interne au sein de l’équipe de soins et la coordination externe avec les médecins de 1re ligne. Des analyses de différence de différences, incluant des scores de propension afin de rendre les groupes comparables, ont été effectuées dans le but d’évaluer l’influence de ces aspects sur quatre indicateurs de santé : l’hémoglobine glyquée, l’atteinte de la cible de tension artérielle et l’atteinte de deux cibles d’habitudes de vie concernant la répartition des glucides alimentaires et la pratique d’activité physique. Les résultats indiquent que les indicateurs de santé sélectionnés se sont améliorés chez les patients participant au programme et ce, indépendamment des variations dans son implantation entre les CSSS participant à l’étude. Très peu d’analyses de différence de différences ont en effet relevé un impact significatif des variables d’implantation étudiées sur ces indicateurs. Les résultats suggèrent que les effets bénéfiques d’un tel programme sont davantage tributaires de la prestation des interventions auprès des patients que d’aspects organisationnels liés à son implantation.

Validation of the Australian Propensity for Angry Driving Scale (Aus-PADS)

The present study used a university sample to assess the test-retest reliability and validity of the Australian Propensity for Angry Driving Scale (Aus-PADS). The scale has stability over time, and convergent validity was established, as Aus-PADS scores correlated significantly with established anger and impulsivity measures. Discriminant validity was also established, as Aus-PADS scores did not correlate with Venturesomeness scores. The Aus-PADS has demonstrated criterion validity, as scores were correlated with behavioural measures, such as yelling at other drivers, gesturing at other drivers, and feeling angry but not doing anything. Aus-PADS scores reliably predicted the frequency of these behaviours over and above other study variables. No significant relationship between aggressive driving and crash involvement was observed. It was concluded that the Aus-PADS is a reliable and valid tool appropriate for use in Australian research, and that the potential relationship between aggressive driving and crash involvement warrants further investigation with a more representative (and diverse) driver sample.

Risk -taking propensity of faculty, administrators, and academic department heads at a large, urban, multi -campus community college

This research was undertaken to explore dimensions of the risk construct, identify factors related to risk-taking in education, and study risk propensity among employees at a community college. Risk-taking propensity (RTP) was measured by the 12-item BCDQ, which consisted of personal and professional risk-related situations balanced for the money, reputation, and satisfaction dimensions of the risk construct. Scoring ranged from 1.00 (most cautious) to 6.00 (most risky).^ Surveys including the BCDQ and seven demographic questions relating to age, gender, professional status, length of service, academic discipline, highest degree, and campus location were sent to faculty, administrators, and academic department heads. A total of 325 surveys were returned, resulting in a 66.7% response rate. Subjects were relatively homogeneous for age, length of service, and highest degree.^ Subjects were also homogeneous for risk-taking propensity: no substantive differences in RTP scores were noted within and among demographic groups, with the possible exception of academic discipline. The mean RTP score for all subjects was 3.77, for faculty was 3.76, for administrators was 3.83, and for department heads was 3.64.^ The relationship between propensity to take personal risks and propensity to take professional risks was tested by computing Pearson r correlation coefficients. The relationships for the total sample, faculty, and administrator groups were statistically significant, but of limited practical significance. Subjects were placed into risk categories by dividing the response scale into thirds. A 3 x 3 factorial ANOVA revealed no interaction effects between professional status and risk category with regard to RTP score. A discriminant analysis showed that a seven-factor model was not effective in predicting risk category.^ The homogeneity of the study sample and the effect of a risk-encouraging environment were discussed in the context of the community college. Since very little data on risk-taking in education is available, risk propensity data from this study could serve as a basis for comparison to future research. Results could be used by institutions to plan professional development activities, designed to increase risk-taking and encourage active acceptance of change. ^

Risk-taking propensity of faculty, administrators and academic departament heads at large, urban, multicampus community college

This research was undertaken to explore dimensions of the risk construct, identify factors related to risk-taking in education, and study risk propensity among employees at a community college. Risk-taking propensity (RTP) was measured by the 12-item BCDQ, which consisted of personal and professional risk-related situations balanced for the money, reputation, and satisfaction dimensions of the risk construct. Scoring ranged from 1.00 (most cautious) to 6.00 (most risky). Surveys including the BCDQ and seven demographic questions relating to age, gender, professional status, length of service, academic discipline, highest degree, and campus location were sent to faculty, administrators, and academic department heads. A total of 325 surveys were returned, resulting in a 66.7% response rate. Subjects were relatively homogeneous for age, length of service, and highest degree. Subjects were also homogeneous for risk-taking propensity: no substantive differences in RTP scores were noted within and among demographic groups, with the possible exception of academic discipline. The mean RTP score for all subjects was 3.77, for faculty was 3.76, for administrators was 3.83, and for department heads was 3.64. The relationship between propensity to take personal risks and propensity to take professional risks was tested by computing Pearson r correlation coefficients. The relationships for the total sample, faculty, and administrator groups were statistically significant, but of limited practical significance. Subjects were placed into risk categories by dividing the response scale into thirds. A 3 X 3 factorial ANOVA revealed no interaction effects between professional status and risk category with regard to RTP score. A discriminant analysis showed that a seven-factor model was not effective in predicting risk category. The homogeneity of the study sample and the effect of a risk encouraging environment were discussed in the context of the community college. Since very little data on risk-taking in education is available, risk propensity data from this study could serve as a basis for comparison to future research. Results could be used by institutions to plan professional development activities, designed to increase risk-taking and encourage active acceptance of change.

Psychological predictors of the propensity to omit short-response items on a high-stakes achievement test

This article presents the findings of a study of the psychological variables that discriminate between high and low omitters on a high-stakes achievement test using a short-response format. Data were obtained from a questionnaire administered to a random sample (N = 1,908) of students prior to sitting the 1997 Queensland Core Skills (QCS) Test (N = 29,273). Fourteen psychological variables were measured including test anxiety (four subscales), emotional stability, achievement motivation, self-esteem, academic self-concept, self-estimate of ability, locus of control (three subscales), and approaches to learning (two subscales). The results were analyzed using descriptive discriminant analysis and suggested that the psychological predictors of the propensity to omit short-response items include test-irrelevant thinking and academic self-concept, with sex of candidate being a mediating variable.

Validating the functional capacity index : a comparison of predicted versus observed total body scores

Background: The Functional Capacity Index (FCI) was designed to predict physical function 12 months after injury. We report a validation study of the FCI. Methods: This was a consecutive case series registered in the Queensland Trauma Registry who consented to the prospective 12-month telephone-administered follow-up study. FCI scores measured at 12 months were compared with those originally predicted. Results: Complete Abbreviated Injury Scale score information was available for 617 individuals, of whom 587 (95%) could be assigned at least one FCI score (range, 1-17). Agreement between the largest predicted FCI and observed FCI score was poor ([kappa] = 0.05; 95% confidence interval, 0.00-0.10) and explained only 1% of the variability in observed FCI. Using an encompassing model that included all FCI assignments, agreement remained poor ([kappa] = 0.05; 95% confidence interval, -0.02-0.12), and the model explained only 9% of the variability in observed FCI. Conclusion: The predicted functional capacity poorly agrees with actual functional outcomes. Further research should consider including other (noninjury) explanatory factors in predicting FCI at 12 months.

Reference bias : presentation of extreme health states prior to EQ-VAS improves health-related quality of life scores. A randomised crossover trial.

Background: Clinical practice and clinical research has made a concerted effort to move beyond the use of clinical indicators alone and embrace patient focused care through the use of patient reported outcomes such as healthrelated quality of life. However, unless patients give consistent consideration to the health states that give meaning to measurement scales used to evaluate these constructs, longitudinal comparison of these measures may be invalid. This study aimed to investigate whether patients give consideration to a standard health state rating scale (EQ-VAS) and whether consideration of good and poor health state descriptors immediately changes their selfreport. Methods: A randomised crossover trial was implemented amongst hospitalised older adults (n = 151). Patients were asked to consider descriptions of extremely good (Description-A) and poor (Description-B) health states. The EQ-VAS was administered as a self-report at baseline, after the first descriptors (A or B), then again after the remaining descriptors (B or A respectively). At baseline patients were also asked if they had considered either EQVAS anchors. Results: Overall 106/151 (70%) participants changed their self-evaluation by ≥5 points on the 100 point VAS, with a mean (SD) change of +4.5 (12) points (p < 0.001). A total of 74/151 (49%) participants did not consider the best health VAS anchor, of the 77 who did 59 (77%) thought the good health descriptors were more extreme (better) then they had previously considered. Similarly 85/151 (66%) participants did not consider the worst health anchor of the 66 who did 63 (95%) thought the poor health descriptors were more extreme (worse) then they had previously considered. Conclusions: Health state self-reports may not be well considered. An immediate significant shift in response can be elicited by exposure to a mere description of an extreme health state despite no actual change in underlying health state occurring. Caution should be exercised in research and clinical settings when interpreting subjective patient reported outcomes that are dependent on brief anchors for meaning. Trial Registration: Australian and New Zealand Clinical Trials Registry (#ACTRN12607000606482) http://www.anzctr. org.au

The validity and structure of culture-level personality scores: Data from ratings of young adolescents

We examined properties of culture-level personality traits in ratings of targets (N=5,109) ages 12 to 17 in 24 cultures. Aggregate scores were generalizable across gender, age, and relationship groups and showed convergence with culture-level scores from previous studies of self-reports and observer ratings of adults, but they were unrelated to national character stereotypes. Trait profiles also showed cross-study agreement within most cultures, 8 of which had not previously been studied. Multidimensional scaling showed that Western and non-Western cultures clustered along a dimension related to Extraversion. A culture-level factor analysis replicated earlier findings of a broad Extraversion factor but generally resembled the factor structure found in individuals. Continued analysis of aggregate personality scores is warranted.