A Study on Happiness and Related Factors Among Indian College Students

Happiness is considered to be one of the ultimate goals of life. This paper studies the happiness of Indian college and university students aged between 18 and 24 years. It attempts to answer whether and to what extent happiness of a student is significantly related to aspects of social life such as time spent with family, friends, being in a relationship, logging into social networking sites; academic factors such as job prospects of the chosen field of study and academic environment; and other personal factors such as health condition, over thinking or dwelling on past bad memories, addiction to tobacco/drug/alcohol. Moreover, this paper also inquires about the relationship between a student’s average happiness with her gender as well as the income class to which she belongs. It has been observed that among different aspects of social life, time spent with family and friends are significant while logging into social networking site is found out to be insignificant. Also being in a relationship is significantly but negatively related to happiness for male students. Job Prospects of the current field of study is a highly significant covariate of happiness irrespective of the gender of the student. Among different aspects of the personal situation, dwelling on past bad memories decreases happiness of both male and female students. Addiction to tobacco/alcohol is a negative covariate of female happiness. Furthermore, income and gender are seen to play an insignificant role in the happiness of Indian college and university students.

     

周忠泽：解读宝时得

“我很享受这种因公司高速发展所带来的催人奋进的激情。”宝时得机械（中国）有限公司副总裁、苏州工厂（下称宝时得机械）总经理周忠泽这样形容自己的心境。     

Why do Women feel the way they do about market work: the role of familial,social and economic factors

Various empirical studies find evidence of that women tend to underestimate the probability that they will work in the market in the future. This can lead to initial under-investment in market human capital and resulting earnings penalties later in life. However, virtually no study investigates the familial, social and economic factors that cause women to plan/expect not to work. Thus the onus of “incorrect” plans is placed wholly on the women, and society absolved of any responsibilities in helping form those plans. This work uses data from the NLSYW and investigates the effects of a wide range of factors on women's future work plans. Results indicate that plans are definitely not formed in a vacuum, and that familial, social and economic circumstances all play a decisive role in shaping them. Some suggestions are made for policy formation to encourage women to plan on working in future.     

权益乘数驱动因素对估值影响的研究

采用市场法估值需要确定估值乘数。企业价值评估的目的是最大限度的挖掘出目标公司的潜在价值，为了避免低估或高估目标公司，应该充分探究影响乘数的具体因素。本文通过对两阶段增长模型的乘数计算，研究权益乘数驱动因素对估值的影响，试图通过对权益乘数驱动因素的调整来分析目标公司容易被高估或低估的可能性。     

Functional data analysis for volatility

We introduce a functional volatility process for modeling volatility trajectories for high frequency observations in financial markets and describe functional representations and data-based recovery of the process from repeated observations. A study of its asymptotic properties, as the frequency of observed trades increases, is complemented by simulations and an application to the analysis of intra-day volatility patterns of the S&P 500 index. The proposed volatility model is found to be useful to identify recurring patterns of volatility and for successful prediction of future volatility, through the application of functional regression and prediction techniques.     

Emerging technologies: quantitative identification and measurement

Emerging technologies present both challenges and opportunities for national technology strategies. National governments may therefore want to monitor the technological horizon on a systematic basis. This article outlines the quantitative approaches available for such monitoring. Among the standard types of bibliometric data, proposals and publications are most likely to be useful for this purpose since they capture information earlier in the cycle of technology development. Patents, in contrast, trail behind. Analysis can proceed with keywords or citations, and algorithms are available to use the information structure inherent in these kinds of data to identify and measure emerging areas. There are limitations, however, in all the available approaches and the authors therefore recommend using them in conjunction with expert methods by focusing the qualitative assessment in particular areas.     

Antidumping decisions and macroeconomic variables in the USA

This paper investigates the macroeconomic factors that explain antidumping decisions in the US International Trade Commission. Johansen's cointegration test results show that there is a long run equilibrium relationship between growth of the percentage of affirmative antidumping decisions and trade balance. The error correction model shows that there is a causality running from the latter to the former. Growth of the percentage of affirmative antidumping decisions is revealed to cause slowdown in economic growth. Partisan characteristics are observed in the Commissioners' antidumping decisions.     

Examining charitable donation process in South India: role of gender

With increasing financial clout, females are potentially poised as a greater source of charitable giving in the West. However, debate exists in the marketing literature about gender‐based differences in charitable donations. The purpose of this study is to research whether gender‐based segmentation is effective for charities in cultures in which high gender inequality exists. Hence, India, an emerging economy with high gender inequality, was chosen as the study setting. Following an extensive literature review, we identified gender, trust, attitude towards the ad, and feelings from the ad as key predictors of charitable donation intentions. A study model was developed and tested using regression analysis. It was found that the predictor variables have significant impact on intentions to donate. Hence, this study posits that gender could potentially be an effective segmentation variable for charities that are targeting potential donors in South India. Copyright © 2012 John Wiley & Sons, Ltd.