Mediation Effect of Financial Education between Financial Stress and Use of Financial Technology

Journal of Family and Economic Issues - This study investigated the relationship between financial stress and financial technology and included the mediating role of financial knowledge based on...     

Unstructured principal fitted response reduction in multivariate regression

In this paper, an unstructured principal fitted response reduction approach is proposed. The new approach is mainly different from two existing model-based approaches, because a required condition is assumed in a covariance matrix of the responses instead of that of a random error. Also, it is invariant under one of popular ways of standardizing responses with its sample covariance equal to the identity matrix. According to numerical studies, the proposed approach yields more robust estimation than the two existing methods, in the sense that its asymptotic performances are not severely sensitive to various situations. So, it can be recommended that the proposed method should be used as a default model-based method.     

Evaluation of the treatment time-lag effect for survival data

Medical treatments often take a period of time to reveal their impact on subjects, which is the so-called time-lag effect in the literature. In the survival data analysis literature, most existing methods compare two treatments in the entire study period. In cases when there is a substantial time-lag effect, these methods would not be effective in detecting the difference between the two treatments, because the similarity between the treatments during the time-lag period would diminish their effectiveness. In this paper, we develop a novel modeling approach for estimating the time-lag period and for comparing the two treatments properly after the time-lag effect is accommodated. Theoretical arguments and numerical examples show that it is effective in practice.     

Radical prostatectomy for clinically localized prostate cancer in patients aged 75 years or older: comparison with primary androgen deprivation therapy

Objective: To determine whether radical prostatetomy (RP) is suitable for prostate cancer patients with age ≥75 years in comparison to primary androgen deprivation therapy (PADT).

Patients and methods: A cohort study was conducted in clinically localized prostate cancer patients with ≥75 years of age who underwent RP or PADT at six institutions from 2005 to 2013. Patients who had less than 12 months of follow-up, or received neoadjuvant or adjuvant therapy were excluded. We compared clinical characteristics, cancer-specific and overall survivals, and post-treatment complication rates between two groups.

Results: We included 92 and 99 patients in the RP and PADT groups, respectively. In survival analyses, there were no significant differences in cancer-specific and overall survivals (p?=?.302 and .995, respectively). The incidence of serious adverse events (cardio- or cerebrovascular event, or bone fracture) was higher in the PADT group (p?=?.001). Multivariable analysis showed that PADT had a worse effect on the serious adverse events (OR 10.12, p?=?.038).

Conclusions: In selected elderly patients, RP was safe and effective for treatment of localized prostate cancer, as compared to PADT. Surgical treatment options should be considered in elderly patients with respect to life expectancy, rather than chronological age.     

Selective exposure to partisan media: Moderating factors in evaluations of the president

The conditions in which moderating factors – media trust, mediabias, and political ideology – increase or limit the approval ratings of a politician in a partisan media environment were investigated using data obtained from the 2010 Pew survey. The findings show that media trust and media bias intensify negative presidential evaluations among consumers of conservative news programs, whereas these factors do not influence presidential approval among consumers of liberal news programs. The findings also reveal that conservatives tend to choose to be exposed to news messages that are congenial to their ideological orientations, while liberals select a more balanced diet of news messages. This study proposes that moderating factors have different effects on conservative and liberal news consumers.     

From ‘sustainable rural communities’ to ‘social sustainability': giving voice to diversity in Mangakahia Valley, New Zealand

Despite widespread interest in the notion of sustainability, little progress has been made towards an understanding of its social dimensions. Nonetheless, the concept of ‘sustainable rural communities’ is embedded in popular, policy and academic discourses, where the needs of ‘rural communities’ are usually equated with those of farm families. Our ethnographic research in Northland, New Zealand illustrates the diverse interests to be found within ‘rural communities'. Interviews and participant observation were undertaken between August 1995 and July 1996 in the Mangakahia Valley. The increasing divergence in the ethnic, class and occupational makeup of the population has brought with it complexities in terms of what can be said to contribute to ‘sustainable rural communities'. We suggest that ‘sustainable rural communities’ be treated as a folk category, and instead, social science discourse should resort to the broader concept of social sustainability, which will have a locally defined content, not a universal definition, but will include elements of livelihood, social participation, justice and equity.     

International alliance formation and stock market responses:: Industry globalization as an environmental contingency

This study examines the effects of the degree of industry globalization on international alliance formation in terms of the type of alliance chosen by partner firms and stock market responses to the chosen type of alliance. Using a sample of 244 international alliances formed between U.S. and non-U.S. firms for the 1992–97 period, we find that nonjoint venture (joint venture) alliances take place relatively more frequently in global (multidomestic) industries than in multidomestic (global) industries. We also find that in global industries, abnormal returns to nonjoint venture partners are relatively greater than those to joint venture partners, whereas in multidomestic industries, abnormal returns to nonjoint venture partners are relatively smaller, though insignificant, than those to joint venture partners. Our findings suggest that the degree of industry globalization plays an important role in explaining which type of international alliance is likely to be chosen by partner firms when entering an alliance and how stock markets tend to respond to the chosen type of alliance.     

Bridging the territorial divide: immigrants’ cross-border communication and the spatial dynamics of their kin networks

The transnational perspective emphasises the persistence of immigrants’ home country connections, yet existing research adds little to our understanding of the mechanisms by which cross-border ties are maintained. We use nationally representative data of immigrants in Spain to describe changes in their kin network and study how two characteristics, migration stage (whether kin already resided in Spain at the time of emigration and whether any kin remained in the birth country (BC) at the time of interview) and relationship-specific locations of kin (children, parents, spouse, siblings), influence the frequency of cross-border communication. We find an expansion in the total number of kin largely due to childbearing and marriage. The average fraction of migrants’ immediate kin in Spain shifts from 6% to 41%. The presence of at least one kin in the BC increases the frequency of cross-border communication, but with the exception of siblings, the presence of family already in Spain at the time of emigration does not. Siblings and parents were far more likely to retain a BC presence, but they were less likely than spouses or children to be contacted daily. While these ties are generally long-lasting, communication wanes as immigrant embeddedness in the receiving country grows.     

Laplace based approximate posterior inference for differential equation models

Ordinary differential equations are arguably the most popular and useful mathematical tool for describing physical and biological processes in the real world. Often, these physical and biological processes are observed with errors, in which case the most natural way to model such data is via regression where the mean function is defined by an ordinary differential equation believed to provide an understanding of the underlying process. These regression based dynamical models are called differential equation models. Parameter inference from differential equation models poses computational challenges mainly due to the fact that analytic solutions to most differential equations are not available. In this paper, we propose an approximation method for obtaining the posterior distribution of parameters in differential equation models. The approximation is done in two steps. In the first step, the solution of a differential equation is approximated by the general one-step method which is a class of numerical numerical methods for ordinary differential equations including the Euler and the Runge-Kutta procedures; in the second step, nuisance parameters are marginalized using Laplace approximation. The proposed Laplace approximated posterior gives a computationally fast alternative to the full Bayesian computational scheme (such as Makov Chain Monte Carlo) and produces more accurate and stable estimators than the popular smoothing methods (called collocation methods) based on frequentist procedures. For a theoretical support of the proposed method, we prove that the Laplace approximated posterior converges to the actual posterior under certain conditions and analyze the relation between the order of numerical error and its Laplace approximation. The proposed method is tested on simulated data sets and compared with the other existing methods.