مقاله انگلیسی رشد اقتصادی و شادی در چین: آنالیز چندسطحی کوهورت-دوره-سن بیزین

این مقاله علمی پژوهشی (ISI)  به زبان انگلیسی از نشریه الزویر مربوط به سال ۲۰۲۲ دارای ۱۵ صفحه انگلیسی با فرمت PDF می باشد در ادامه این صفحه لینک دانلود رایگان مقاله انگلیسی و بخشی از ترجمه فارسی مقاله موجود می باشد.

کد محصول: H757

سال نشر: ۲۰۲۲

نام ناشر (پایگاه داده): الزویر

نام مجله:   International Review of Economics and Finance

نوع مقاله: علمی پژوهشی (Research articles)

تعداد صفحه انگلیسی: ۱۵ صفحه PDF

عنوان کامل فارسی:

مقاله انگلیسی ۲۰۲۲ :  رشد اقتصادی و شادی در چین: آنالیز چندسطحی کوهورت-دوره-سن بیزین  بر اساس داده های CGSS 2005-2015

عنوان کامل انگلیسی:

Economic growth and happiness in China: A Bayesian multilevel age-period-cohort analysis based on the CGSS data 2005–۲۰۱۵

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Abstract

This paper introduces a Bayesian multilevel model based on the age-period-cohort framework to examine Chinese happiness. Using 8 waves of the Chinese General Social Survey (CGSS) data between 2005–۲۰۱۵, the model not only solves the co-linearity problem with weakly informative priors and explicit assumptions, it also produces more computationally stable results. Our estimation results show how Chinese happiness changes in an individual’s life circle and how one’s life experience is accumulated to her/his happiness with cognitive development. We identify some different generation patterns and explain generation differences in happiness across the various birth years with narratives of historical events. This paper contributes to existing studies both theoretically and methodologically. The novel modeling strategy and the analytical framework which assisted with historical narratives altogether explain better the age, period, and cohort effects on Chinese happiness.

Keywords: Happiness study, Generation differences, Age-period-cohort framework, Economic growth, China

۱.Introduction

 Most researches on generation differences of the Chinese people are ambiguous as their divisions of generations are mostly ad-hoc. In the Chinese context, we are familiar with concepts like ‘‘post-80s generation’’ or the ‘‘post-90s generation’’ (Deng et al., 2010; Wang, 2009). However, what is the exact difference between people who were born in 1980 and 1990, or between 1989 and 1991? An effort to define generations often neglects the fact that generation is confounded with age. For example, Yu (2009) and Xu (2012) discuss the features of the ‘‘post-80s generation’’ in 2010, the results are pertaining to these groups in their thirties. The analyses were therefore restricted to the observational time frame. There are many approaches to address this limitation.

 In theory, the differences of attitudes among generations merely reflect cognitive accumulation. Thus, psychologists (e.g., Hermelin, 1977) conduct a series of research on the development of memory and the function of cognitive development decades ago, using both empirical data and physical evidence like hemispheric lateralization. Due to the availability of data, they did not develop a good model to describe the accumulation of happiness…

۶.Conclusions

 In this paper, we construct a Bayesian Multilevel model within the age-period-cohort framework and successfully apply the model to the Chinese happiness survey data. This approach not only solves the multi-collinearity problem but also produces computationally stable results. The key to solving the multi-collinearity problem is that we only model age and period effects. As a matter of fact, we treat each age group as a cohort to achieve this modeling goal. Additionally, the full Bayesian modeling with the use of priors that regularize the parameters ensures in the model be identified. This, in turn, further avoids the inverse of matrices which would be otherwise computationally unstable due to the near-singularity under the unidentifiable situation…

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