Happiness in Solow Growth Model
Using annual data from 1961 to 2005 growth rate of gross domestic product at the constant prices of year 2000 is taken in the dependent variable and growth rates of employment level, gross fixed capital formation and lag dependent variable are all the explanatory variables, we obtained total factor productivity by using Cobb Douglas Model. The corresponding time period’s data of three happiness indices – life satisfaction, ecological footprint and life expectancy is taken to determine the effect of happiness indices on total factor productivity. Negative impact of ecological footprint index on TFP is found in Canada, Japan, Norway, Spain, and UK, but is found significant in the cases of Canada, Norway, Spain and UK. Life expectancy is found to be significantly explaining TFP in Netherlands, Norway, Spain, UK and USA. As far as the subjective index of happiness – Life Satisfaction – is concerned the slope coefficient is insignificant in all the cases except the USA. Estimates from pooled regression show that growth rates of ecological footprint index and life expectancy both are significantly explaining TFP, but life satisfaction index is found to be insignificant. Endorsing Loria’s viewpoint there is not only a need to check national income accounts but there is also a need to develop happier societies. Enhancing happiness – the intangible capital – could be helpful in explaining total factor productivity in the neoclassical growth model.
|Date of creation:||05 Mar 2011|
|Date of revision:||30 Oct 2011|
|Publication status:||Published in Journal of Business & Economics 2.3(2012): pp. 127-144|
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