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Idiosyncratic Shocks and Welfare Dynamics in Akwapim South District : Some Preliminary Results. By Andrew Adjei -Holmes (ISSER, UoG ) Ernest Aryeetey (ISSER, UoG ) Christopher Barrett (Cornell University) Robert Darko Osei (ISSER, UoG ) Thomas Walker (Cornell University).
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Idiosyncratic Shocks and Welfare Dynamics in Akwapim South District :Some Preliminary Results By Andrew Adjei-Holmes (ISSER, UoG) Ernest Aryeetey (ISSER, UoG) Christopher Barrett (Cornell University) Robert Darko Osei (ISSER, UoG) Thomas Walker (Cornell University) Presented at ISSER, 15th July, 2010
Structure of Presentation • An introduction • Main Research Questions • Some Preliminary Results • Some concluding remarks
An introduction • Idiosyncratic risks (shocks) tends to dominate covariate risks in rural incomes in Africa and Asia • They can affect household incomes directly – e.g. loss of job • Such shocks affect rural incomes through asset accumulation and productivity – funeral rites • In Ghana, such shocks are widespread and are important determinants of current incomes of rural households • Improving the management of such risks will improve the rate of asset accumulation by households – and therefore improve household incomes
The ability of households to cope with such shocks depends on among other factors, how socially connected households are • Evidence suggests that shocks have persistent effects on asset dynamics of households that are least connected • There are different mechanisms that help households deal with such shocks – • Examples in Ghana include hometown associations (and others) and other informal insurance mechanisms such as funeral contributions.
The aim of the project is to • study the nature of idiosyncratic shocks that affects households, • The effects of these shocks on households • The nature and type of mechanisms that help mitigate the effects of these shocks
Some Preliminary Results Age Distribution of Households
Highest school level attended (per cent of respondents) • Damang seems to trail the other villages in terms of senior high school attainment • Junior school attainment is higher than the national average – lagged effects of capitation grant?
Reasons for leaving School (per cent of respondents) • The main reason why people would have left school is because they could not afford it • In Pokrom and Oboadaka people left to help parents – Is there a Pineapple story?
Men are more likely to be employed as farmers generally – • However this is not true for Konkonuru • Women are more likely to be a shop attendant or trader • The Nsawam effect is quite evident in Damang – more taxi and trotro drivers • There are also signs of the Aburi effect on Konkonuru
Consumption by Households (Monthly GHC) • On average individuals in these communities are very close to the poverty line
Household Incomes (Over Past 2 months - GHc) • Income seems to be higher in the communities that do less farming of pineapples
Mean Transfers – Given and received by age • Two interesting observations here • Net transfers received is higher for older people (pensioners) • Generally households are net receivers – consistent with consumption > incomes
Financial assets seem to dominate except for Pokrom where durables are quite important • Maybe related to history of pineapple business in pokrom • Pokrom still dominates in terms of total assets • Possibly driven by outliers
Shocks • In value terms different shocks ranks differently in different communities • In terms of the number of times these shocks occur, funerals and death of hh member or relative is important – true across communities • Coping Strategies (Funerals) • Majority will not have done anything – could mean ‘most of the above’ • Getting help from others, taking loans from informal sources remain quite important • Oboadaka and Pokrom, selling of assets is important
Conclusion • Most households in these communities are poor • Idiosyncratic shocks are significant and wide-ranging • Value of shocks sometimes exceed value of consumption • Selling of assets remain an important strategy for coping with these shocks • Other strategies rely on social networks – how connected the households are