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Results from international large-scale assessments, such as PISA surveys, suggest that boys do better in math and science, whereas girls do better in reading. How do gender gaps vary across subjects, when estimated simultaneously? Building on the work of Tsai, Smith, and Hauser (2017), we answer this question by applying a multilevel-MIMIC model that enables us to estimate gender gaps in two ways: gender differences in the effects of observed family and school factors on math, science, and reading scores; and the “adjusted” gender gaps in test scores across all three subjects after controlling for observables. We apply the model to 2012 PISA data of students aged 15–16 and enrolled in 9th or 10th grade in three East Asian (Japan, South Korea, and Taiwan) and three Western countries (USA, Germany, and the Czech Republic) that represent both similar and different types of school systems. Our findings indicate that the gender gap in math or science achievement in Western countries, favoring boys, does not necessarily apply to the East Asian countries examined here, while all three East Asian countries exhibit similar features of gender reading gaps in the 10th grade. There is evidence indicating that observed background and school factors impact boys’ and girls’ achievement in a similar way in USA, Japan, Korea, Taiwan, and the Czech Republic, but not in Germany. Overall, gender differences in family and school influences do not account for gender differences in academic achievement in any of the six countries.

Economic and financial integration (hereafter, economic integration) among economies has been a fertile area of research. Yet, what we argue is that economic integration needs new thoughts to adequately model the recent challenges to the global economy by developing a new index/measure of economic integration. The new index will not only shed invaluable insights into the drivers of economic integration between Australia and the Middle East but will also help craft economic, trade, and commercial policies to achieve the desired type of integration with Australia's trading partners. Our analysis is undertaken on a cross section of 140 countries for the year 2011, to understand the causes and indicators of integration. Our model combines changes in real GDP, per capita GDP, percentage of educational expense, and gender inequality as causal factors to explain integration as a latent variable. We use three indicators of integration: (1) a standard measure of economic integration, (2) exports and imports as a percentage of GDP, (3) flows of foreign direct investment. We then explore the linkages between these indicators, or manifestations of integration, and a number of its possible causes. In terms of the new index we rank 140 nations and note that Australia is ranked among the top 20 nations in terms of integration with the global economy. Except Israel and Oman, Australia's trade partners in the Middle East have little integration with the global economy. In a similar vein, we also find that Australia's northern neighbors – especially Indonesia, Malaysia, Thailand, Cambodia, Myanmar, Sri Lanka, India – are yet to get well-integrated with the global economy. As a result, we argue, Australia can lead these countries from Southeast Asia and the Middle East to form closer ties with the global economy via Australia and, by doing so, Australia can create unprecedented economic and social benefit.

Despite some attempts to integrate the market orientation construct into the international marketing area, most conceptual and empirical studies have been conducted in the context of domestic operations. To address this gap we examine whether competitive intensity moderates the relationships among the components of market orientation and export performance. Data was used from 197 Brazilian export companies. Results suggest that interfunctional coordination enhances customer and competitor orientation. Moreover, customer orientation has no direct effect on export performance, while competitor orientation has a positive effect on firm’s international performance. Findings also indicate that competitive intensity moderates all the relationships tested in the model.

Mutual fund ratings are extremely popular among mutual fund investors, with over 8,000 mutual funds currently available to them and a huge increase in privately managed retirement accounts. Morningstar introduced the star-rating system to mutual funds, grading them on a range of one to five stars, with one star being the lowest and five stars being the highest. Because of its simplicity and resemblance to the ratings of so many other products we buy, the star-rating system has become an intrinsic element of mutual fund jargon. Morningstar experts award 5-star funds a gold, silver, or bronze medal ranking based on their instinctual analysis. This research investigates whether all gold-medal winning five-star mutual funds are equally efficient in terms of risk-adjusted performance. When total return, adjusted expense ratio, standard deviation, tax cost ratio, Sharpe ratio, and fund alpha are all considered, we discovered that not all “gold medal” mutual funds are equally efficient. Investors should take care even among “gold medal” funds since some are more efficient than others.

Any career is marked by luck, both good and bad, as well as by hard work interspersed by times of uncertainty, fits and starts, and learning from one's mistakes and successes. But beyond these outcomes and actions, I owe an enormous debt to people who have shaped me and made life the challenging and rewarding journey it is. My family of origin and extended family were incredibly supportive in personal and functional ways. So many mentors and teachers influenced what I know and who I am. Many students, colleagues, secretaries, computer and library staff, and group chairs and deans provided the help, inspiration, and friendship guiding my career behind the scenes. My wife, son, and daughter sustained me through times of tears and joy, as did my community of faith. All these relationships were foundational to any contributions I may have made to attitudes, social action, and theory of mind; methodology, statistics, and philosophical foundations of research; sales force, organization, and health behaviors; emotions, ethics, and moral behavior; and marketing and managerial practice. For me, my career contributions are secondary to the relationships within which I was fortunate to engage.

It is shown in Chou (2005). Journal of Money, Credit and Banking, 37, 561–582that the range can be used as a measure of volatility and the conditional autoregressive range (CARR) model performs better than generalized auto regressive conditional heteroskedasticity (GARCH) in forecasting volatilities of S&P 500 stock index. In this paper, we allow separate dynamic structures for the upward and downward ranges of asset prices to account for asymmetric behaviors in the financial market. The types of asymmetry include the trending behavior, weekday seasonality, interaction of the first two conditional moments via leverage effects, risk premiums, and volatility feedbacks. The return of the open to the max of the period is used as a measure of the upward and the downward range is defined likewise. We use the quasi-maximum likelihood estimation (QMLE) for parameter estimation. Empirical results using S&P 500 daily and weekly frequencies provide consistent evidences supporting the asymmetry in the US stock market over the period 1962/01/01–2000/08/25. The asymmetric range model also provides sharper volatility forecasts than the symmetric range model.

Tax evasion in developing countries is widespread. However, little attention has been paid to tax evasion in developing countries. This chapter addresses two research questions: RQ1: What are the determinants of tax evasion of Bangladesh? and RQ2: How do the interests of state actors influence tax evasion? The study focused on a developing country with reference to Bangladesh. This is because Bangladesh exhibits one of the smallest tax to GDP ratios in the world. Using quantitative and qualitative interviews, this chapter sheds light on the impact of state actor(s) role on tax evasion over the period 1981–2014. The state actor(s) failed to institutionalize the norms due to political influence. Results provide evidence that lack of enforcement increases tax evasion. The chapter provides a theoretical framework to study determinants of tax evasion.

Teachers are an adaptive group of professionals and in this chapter, we explore the ways that teachers can develop themselves as leaders, even in the absence of strong support or leadership. We explore the manner that these skill sets and strengths can be cultivated, providing lived examples of how the authors have developed themselves. The ways that teachers can follow in the footsteps of the authors is outlined in clearly defined steps. By drawing on previous literature, we provide seven strong claims of developing middle leadership knowledge and skill sets beyond your school. Much of this development and community development work that develops and sharpens leadership skills can be explored through online fora and social media tools. These tools allow skill development, professional learning, and exposure to a broad range of education stakeholders and groups; for future pathways in school leadership roles and leading beyond school gate.

This paper explores the relationship between size, book-to-market, beta, and expected stock returns in the U.S. Information Technology sector over the July 1990–June 2001 period. Two models, the multivariate model and the three-factor model, are employed to test these relationships. The risk-return tests confirm the relationship between size, book-to-market, beta and stock returns in IT stocks is different from that in other non-financial stocks. However, the sub-period results (the periods before and after the technology crash in April 2000) show that the nature of the relationship between stock returns, size, book-to-market, and market factors, or the magnitude of the size, book-to-market, and market premiums, is on average unchanged for both sub-periods. This result suggests the technology stock crash in April 2000 was not a correction of stock prices.