Adult Outcomes for Children of Teenage Mothers

Using data from the British Household Panel Survey, this study examines the relationship between several outcomes in early adulthood (e.g. education, inactivity, earnings and health) and being born to a teenage mother. Besides standard cross‐sectional multivariate regression estimates, we also present evidence from non‐parametric estimates and from estimates that account for unmeasured family background heterogeneity by comparing siblings born to the same mother who timed their births at different ages. Regardless of the econometric technique, being born to a teenage mother is usually associated with worse outcomes. An important channel of transmission of this adverse effect is childhood family structure, which plays a more powerful role than childhood family poverty. Albeit smaller, some of the detrimental effects are also found for children of mothers who gave birth in their early 20s.     

?Media Events, Globalization and Cultural Change?

Ohne Zusammenfassung     

A Wald test for the cointegration rank in nonstationary fractional systems

This paper develops new methods for determining the cointegration rank in a nonstationary fractionally integrated system, extending univariate optimal methods for testing the degree of integration. We propose a simple Wald test based on the singular value decomposition of the unrestricted estimate of the long run multiplier matrix. When the “strength” of the cointegrating relationship is less than 1/2, the test statistic has a standard asymptotic distribution, like Lagrange Multiplier tests exploiting local properties. We consider the behavior of our test under estimation of short run parameters and local alternatives. We compare our procedure with other cointegration tests based on different principles and find that the new method has better properties in a range of situations by using information on the alternative obtained through a preliminary estimate of the cointegration strength.     

The effect of seasonal adjustment on the properties of business cycle regimes

We study the impact of seasonal adjustment on the properties of business cycle expansion and recession regimes using analytical, simulation and empirical methods. Analytically, we show that the X‐11 adjustment filter both reduces the magnitude of change at turning points and reduces the depth of recessions, with specific effects depending on the length of the recession. A Monte Carlo analysis using Markov‐switching models confirms these properties, with particularly undesirable effects in delaying the recognition of the end of a recession. However, seasonal adjustment can help to clarify the true regime when this is well underway. These results continue to hold when a seasonally non‐stationary process with regime‐dependent mean is misspecified as one with deterministic seasonal effects. The empirical findings, based on four coincident US business cycle indicators, reinforce the analytical and simulation results by showing that seasonal adjustment leads to the identification of longer and shallower recessions than obtained using unadjusted data. Copyright © 2008 John Wiley & Sons, Ltd.     

Stochastic dominance with pair-wise risk aversion

A class of stochastic orders is defined on the set of bivariate distribution functions. This class of orders is linearly orderable by inclusion. A family of utility functions, coherent with each of the stochastic orders previously defined, is determined. These utility functions represent pair-wise risk aversion. The relations with univariate stochastic orders are examined.     

The Italian hedge funds industry: An empirical analysis of performance and persistence

This study analyses Italian hedge funds performance and persistence. The peculiarity of the Italian hedge fund industry is that 95% of the hedge funds are funds of hedge funds (FoHF), whereas only 5% of them employ other investment styles. Using monthly data on FoHF provided by MondoHedge, we examine the impact of both market variables and funds’ own characteristics on funds performance using panel data. We find that the European, the Japanese and the emerging markets equity markets, and the commodity market have a positive impact on Italian FoHF performances, while the US Bond Market negatively affects them. Moreover, we find performance fees and notice days to have a negative impact on funds performances. Finally, we test the presence of performance persistence. Employing two different nonparametric methods, we find that funds performances are persistent on a monthly and quarterly basis, while the regression-based parametric method provides evidence of persistence only on a monthly basis.     

The relevance of the tangible and intangible social impacts of tourism on selected South African communities

Most tourism social impact studies emphasise tangible social impacts such as economic improvement. In developing countries such as South Africa, a small percentage of tangible benefits filter down to community level. This creates a problem as various studies revealed the importance of community support for the sustainability of the tourism industry. Therefore it was important to explore the role of both the tangible and the intangible social impacts of tourism. Communities with established tourism industries (Clarens, Soweto and Jeffreys Bay) formed part of the quantitative research. Through exploratory factor analyses, 31 social impact statements could be categorised into four tangible and two intangible impacts. The tangible factor Economic improvement obtained a low rating, meaning that it was not directly experienced by residents, while the intangible factor Community pride and upliftment obtained the highest rating among all factors. This, together with the fact that community members continue their support for the tourism industry, is a novel find, indicating the significant role of intangible social impacts in fostering community support. This finding shows the importance of incorporating intangible social impacts into tourism planning in developing countries. Contributions are made towards social impact research methodology and literature.     

Transformational tourism as a hero's journey

Transformational tourism is an emerging form of tourism that deserves better attention from researchers and reviewers. This article provides a better understanding of the phenomenon, its varieties and its different stages, drawing on the metaphor of Campbell's archetypical journey of transformation: hero's journey. Using a phenomenological approach, the article tries to shed some light upon the conditions of the touristic experiences that foster transformation. Eight factors were identified: personal situation, being away doing unfamiliar activities, interaction with people, live the moment, difficulty, setting, reflection and integration. The three stages of the hero's journey (departure, initiation and return) are subsequently applied to describe the transformative travel process. The paper concludes with implications for research and professional practice.     

Marking your trade: Cultural factors in the prolongation of trademarks

Trademarks protecting the brand name and associations are crucial in a brand's strategy, but little is known about the factors that determine a trademark's prolongation. To explain the prolongation of trademarks, the research estimated a multilevel hazard model accounting for trademark characteristics, firm's characteristics, and firm's country of origin national culture. The dataset comprises a census of 2911 trademarks in the US software security industry across an eight-year period, belonging to firms originating from 11 countries. The results indicate that a firm's culture of origin has a systematic effect on the types of trademark the firm is more likely to prolong and on the length of the prolongation. The age of the trademark, the number of categories where a particular trademark is present, and the age of the firm increase the likelihood of a trademark's prolongation. Larger and more innovative firms tend to terminate their trademarks earlier.