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This study aims to investigate, for the first time in the literature, the stochastic properties of the US aggregate health-care price inflation rate series, using the data on health-care inflation rates for a panel of 17 major US urban areas for the period 1966-2006.

This goal is undertaken by applying the first- and second-generation panel unit root tests and the panel stationary test developed recently by Carrion-i-Silvestre et al. (2005) that allows for endogenously determined multiple structural breaks and is flexible enough to control for the presence of cross-sectional dependence.

The empirical findings indicate that after controlling for the presence of cross-sectional dependence, finite sample bias, and asymptotic normality, the US aggregate health-care price inflation rate series can be characterized as a non-stationary process and not as a regime-wise stationary innovation process.

The research findings apply to understanding of health-care sector price escalation in US urban areas. These findings have timely implications for the understanding of the data structure and, therefore, constructs of economic models of urban health-care price inflation rates. The results confirming the presence of a unit root indicating a high degree of inflationary persistence in the health sector suggests need for further studies on health-care inflation rate persistence using the alternative measures of persistence. This study’s conclusions do not apply to non-urban areas.

The mean and variance of US urban health-care inflation rate are not constant. Therefore, insurers and policy rate setters need good understanding of the interplay of the various factors driving the explosive health-care insurance rates over the large US metropolitan landscape. The study findings have implications for health-care insurance premium rate setting, health-care inflation econometric modeling and forecasting.

Payers (private and public employers) of health-care insurance rates in US urban areas should evaluate the value of benefits received in relation to the skyrocketing rise of health-care insurance premiums.

This is the first empirical research focusing on the shape of urban health-care inflation rates in the USA.

The high dropout rate among online learning students is a serious issue. Using the theory of planned behavior as a framework, this study investigates what effect attitude, opinion of others and perceived ease of online learning technologies leave on Pakistani online students' persistence intentions.

The sample of this study comprises 320 students enrolled at a distance learning university in Pakistan. Online questionnaires are used to gather data for the study. Correlations and regression analysis are run to figure out the effect of independent variables on the dependent variable of the study.

The findings of the study show that 51% variance in online students’ persistence intentions can be explained by personal attitude, subjective norms and perceived behavioral control.

The use of a non-random sampling technique along with a cross-sectional design form the major limitations of the study.

The outcome of the study may help online education providers as well as policymakers to design programs and initiatives to improve students’ retention in online study programs.

The study contributed to the extant literature by finding out Pakistani online students’ persistence behavior is affected by their attitude, subjective norms and perceived ease of online learning. The study also found that the opinion of people closely related to students influences their study persistence decisions.

The purpose of this paper is to examine student, program and institutional support characteristics that relate to cohort intent to persist among Professional Golfers’ Association Golf Management University Program (PGA-GMUP) undergraduate students from 12 universities.

A survey instrument was created and disseminated to the targeted population. Multiple regressions were used to analyze the 473 responses of students’ intention to persist across the three independent variables (student, program and institutional support).

The research findings suggest higher levels of college GPA, career goals specific to the student’s desire to become a PGA professional, higher levels of faculty engagement, higher levels of satisfaction with major, being a leader in the student association and involvement in the student association are related to students’ intent to persist. Conversely, the results suggest career goals focused on being happy instead of graduation or working as a PGA professional and finding it difficult to make friends are associated with lower levels of intention to persist, while parental expectations of advanced degrees negatively affected students’ intent to persist. Additionally, passing a player ability test did not have bearing on intention to persist.

Results from this analysis offer insight into which persistence factors lead to students’ matriculation, with the ultimate goal of program completion. Identifying persistence factors may help PGA-GMUPs and other hospitality programs recruit students that are more likely to persist in the program, develop program characteristics that optimize cohort matriculation, and utilize university or institutional support services characteristics that may ensure program completion.

The purpose of this paper is to identify the success factors and challenges for students studying in an open and distance learning (ODL) mode and recommend strategies for student persistence based on the findings.

Three groups of ODL students with various levels of study performance – nine high-level, nine mid-level and eight low-level students – were invited to participate in three focus group interviews. They were asked about their motivation, success factors and challenges in their studies.

The different groups of participants showed observable variations in their response. The mid-level students believed that word-by-word rote memorisation was their best strategy in preparing for examinations. The low-level students believed that they needed to master multitasking to learn well in tight schedules. All these weak student participants considered quitting at some points, but no high-level student did so. To improve student persistence, the authors focus on meeting the needs of weak students and recommend the following actions for student persistence: add a time management and study skills component to existing courses for students to practise; appoint advisors to distance learning students to help them create an appropriate study plan and acquire a sense of belonging; make learning videos short and engaging; consider adopting student leaders or peer tutors that have been used successfully in full-time study; and conduct focus periodically with students to hear their views.

This study revealed the factors contributing to student persistence in ODL for the students of various levels of study performance. The results help in formulating measures to meet the diverse needs of ODL students for persistence in their studies.

This study observes that academic excellence associated with satisfaction leads to persistence, loyalty and future careers as perceived by students in an open distance learning framework. The purpose of this paper is to scrutinize the influences of academic excellence as the origin of satisfaction, and how and in which routines those associated factors were interconnected.

The inquiry employed the mixed-methods (exploratory design) approach. It was qualitatively identified first that academic excellence included student orientation, academic counseling, learning materials, tutorial supports, evaluation systems, feedback mechanisms and referral schemes. These seven factors had repercussions on students’ persistence, loyalty and future careers. Quantitatively, seven factors of academic excellence and the latter are independent and dependent variables, respectively. Respondents were randomly selected to accumulate data through a survey from the overseas students of Universitas Terbuka Indonesia. Importance-performance analysis and customer-satisfaction index were concurrently applied to measure the excellence level and its importance degree. Ten hypotheses were established and then examined using structural equation modeling to encapsulate the interrelations intensity among the engaged factors.

Eight out of ten hypotheses were statistically validated by the analysis excluding tutorial supports and feedback mechanisms factors. It was inferred that evaluation systems were the most critical factor and orderly followed by referral schemes, academic counseling, learning materials and student orientation. Academic excellence had an impact on persistence and loyalty, followed by career advancement.

The study identified minor disparity of qualitative and quantitative results. Further query with wider perspectives was needed by also enlarging the sample to minimize the gaps.

The purpose of this paper is to present a systematic review of the mounting research work on learning analytics.

This study collects and summarizes information on the use of learning analytics. It identifies how learning analytics has been used in the higher education sector, and the expected benefits for higher education institutions. Empirical research and case studies on learning analytics were collected, and the details of the studies were categorized, including their objectives, approaches, and major outcomes.

The results show the benefits of learning analytics, which help institutions to utilize available data effectively in decision making. Learning analytics can facilitate evaluation of the effectiveness of pedagogies and instructional designs for improvement, and help to monitor closely students’ learning and persistence, predict students’ performance, detect undesirable learning behaviours and emotional states, and identify students at risk, for taking prompt follow-up action and providing proper assistance to students. It can also provide students with insightful data about their learning characteristics and patterns, which can make their learning experiences more personal and engaging, and promote their reflection and improvement.

Despite being increasingly adopted in higher education, the existing literature on learning analytics has focussed mainly on conventional face-to-face institutions, and has yet to adequately address the context of open and distance education. The findings of this study enable educational organizations and academics, especially those in open and distance institutions, to keep abreast of this emerging field and have a foundation for further exploration of this area.

The underrepresentation of women in engineering has important consequences for meeting the need for a larger, talented scientific and technological labor force. Increasing the proportion of women faculty in engineering will help increase the persistence probabilities of women undergraduate and graduate students in engineering, as well as contribute to the range and diversity of ideas toward innovations and solutions to the greatest engineering challenges. This study aims to examine the association among gender, family formation and post-PhD employment patterns of a cohort of engineering doctorates.

Using the National Science Foundation’s Survey of Doctorate Recipients data, 2001–2010, descriptive and multinomial logit regression analyses are conducted to illustrate the career trajectories of engineering PhDs over a ten-year period.

The career trajectories of engineering PhDs are nonlinear, and transitions between employment sectors commonly occur over the ten-year time period studied. Although women engineering PhDs with young dependents are less likely to be employed initially after PhD completion, they tend to enter the workforce in the academic sector as time progresses. Early post-PhD employment as a postdoctoral researcher or in the academic sector contributes to the pursuit of the professoriate downstream.

While previous studies tend to focus on the early career outcomes of science and engineering students, this study contributes to the literature by focusing on the long-term career outcomes of engineering doctorates. Research findings provide engineering PhD students and PhDs with more information regarding potential post-PhD career trajectories, highlighting the multitude of career options and transitions that occur over time. Research findings also provide higher education administrators and doctoral program stakeholders with foundational information toward designing and revitalizing professional development programs to help PhD students prepare for the workforce. The findings have the potential to be applied toward helping increase diversity by shaping policies and programs to encourage multiple alternative career pathways to the professoriate.

The purpose of this study is to focus deeply on the short term to explain the relative long-term evolution of the Argentinian economy in the long and the short term.

The study of the long-term evolution of the Argentine economy and identifying the moment in which it began to lose ground compared to other developed economies, such as Australia and Canada, constitutes the central axis of the historiography of this country. However, an additional problem presented by the Argentine economy is its high volatility. For this reason, the long term should be influenced by the short term, an issue that requires a more detailed study of the cyclical behavior and a deep analysis of the relationship between the long and the short term.

The results obtained point to a cyclical development that influences the long-term evolution and, therefore, explains Argentina’s convergence process with Australia and Canada. Frequent deep busts and short booms characterize the Argentine cycle, offsetting its long-term growth potential.

Although the long term has been profusely studied in Argentina, the short term has not been analyzed to the same extent, which is surprising given the extreme volatility of this economy (Prebisch, 1950). The studies performed on economic cycles have always been partial, disconnected from the long term and carried out without much technical rigor.

This study examines the relation between the presence of analysts’ long-term growth (LTG) forecasts and the post-earnings-announcement drift (PEAD).

Using a sample of firm-quarters from 1995 to 2013, the author conducts various regression analyses.

The author finds that the magnitude of PEAD is significantly smaller for firms with LTG forecasts. The relationship holds after controlling for a wide range of explanatory variables for PEAD returns or for the presence of LTG forecasts. The author further investigates three nonexclusive hypotheses to explain this relationship. First, LTG forecasts may convey incremental value-relevant information that facilitates investors’ processing of short-term earnings information. Second, the presence of LTG forecasts may indicate superiority in analysts’ short-term forecast ability and identify firms with more efficient short-term forecasts. Third, the presence of LTG forecasts may be associated with cross-sectional differences in the persistence of earnings surprises. The author finds that none of these fully accounts for the negative relationship between the presence of LTG forecasts and PEAD returns. Instead, the relationship may be a result of the presence of LTG forecasts capturing some unobservable firm characteristics beyond those identified in prior studies.

This study contributes to the PEAD literature by identifying a novel analyst-based predictor of the cross-sectional variation in PEAD returns.

This study intends to add to the existing body of literature on the impact of a newly implemented first year seminar in the College of Law and Business. The purpose of this paper is to evaluate the effects the course have on students in regard to three aspects: student awareness and utilization of resources, interaction patterns, as well as, general interests and attitudes toward higher education.

The methodology of the assessment included analysis of a survey that has been conducted by the end of Spring 2014 semester. A quasi-experimental design was implemented to measure the impact of the intervention on students’ awareness and utilization of resources, interactions, general interests, and attitudes toward higher education. Through the SPSS application, the Mann Whitney U Test, and χ² tests were used to check for significant differences while comparing the means or frequencies for both groups. For the three questions, the authors have used the 90 percent confidence level and the standard significance level p-value of 0.05 or less for statistical analysis.

The results indicated that the course had a highly significant positive impact on student attitudes and awareness of campus resources but had less significant impact on student interactions and utilization of resources. The results in this study reveal a positive impact for the first-year seminar course on student satisfaction and attitudes toward higher education as well as their awareness of campus resources. However, in terms of the course impact on student interaction, results conveyed that students who have participated in the first-year seminar course show a slightly better interaction rate with instructors, academic advisors, and close friends than those in the control group.

The main limitation of this study was that the sample was small. Nonetheless, it has provided valuable insights into the understanding of the social and academic impact of first-year seminars on student engagement; through the use of comparison groups, this study increased the validity of prior research.

The first-year seminar course evaluated in this study demonstrated the potential to support and enhance student social and academic engagement during the first year of college. Based on the results in this study, the study team recommended some revisions to the current first-year seminar model (UNIV P100 Skills for University Success). The team proposed three models for subsequent first-year seminars at this university.

This study adds to the existing literature by examining the impact of a newly implemented first-year seminar course at the College of Law and Business at this university on both academic and non-academic aspects from the students’ perspective. These aspects were selected as retention and GPA effects have been widely explored; therefore, the focus is on the less studied emotional and social factors associated with student success and retention. The results from this study can act as a guide for universities intending to introduce a first-year seminar course as it gives clear guidelines on design, content, and course implementation, which can be useful in enhancing general student motivation and attitudes toward academic study and higher education in general.