In a previous post, I wrote about the global trend of premature deindustrialization; the trend towards lower levels of industrial employment, and a shift away from industrial employment at lower levels of per capita income, and how the effects on human well-being of these trends are not yet clearly understood. An important question in understanding the impact of these changing structural patterns on individuals鈥� well-being is to whether either a lifting of the living standards of those not in formal employment, or the generation of employment to replace the manufacturing employment, is taking place.
, I illustrated how combining a household level indicator of well-being with decomposition of change analysis can shed light on these questions by focusing on two specific episodes of growth; South Africa from 1996 to 2007 and Brazil from 1991 to 2010. Using Census data from , I created indices of well-being on a scale of 0-100, using indicators such as child survival rate, access to clean water and electricity, and educations levels, culled from census data. Next, each household was assigned to a 鈥渢ype鈥� based on sectoral employment of the household head and urban/rural location, and average household scores were calculated for each type. A decomposition of change analysis was then used to assign improvement in well-being to improvement within the types and shifts in population between these types.Read More »
Recent research suggests that late industrializers have not been following previously observed patterns in terms of sectoral change and employment, but the effect of these changing structural patterns on well-being and the distribution of gains from growth has not yet been systematically examined. There is a global shift towards both lower employment in industry at all levels of income per capita and de-industrialization, the shift from manufacturing to service employment, taking place at significantly lower levels of income (See work by ; ; and Rodrik , and ). 
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