help fpimpovversion: 1.0.0

Title

fpimpov - Financial protection in health: impoverishing health spending

Description

fpimpov computes the incidence of 'impoverishing' health spending, i.e. the % of households who are pushed below the poverty line by out-of-pocket health spending. This is calculated by comparing the poverty headcount (the % of households who are poor) with household total consumption including (i.e. gross of) and excluding (i.e. net of) household out-of-pocket spending on health. fpimpov also computes the concentration index of impoverishing spending, and (optionally) the incidence of impoverishing spending for each quintile of total expenditure. The measures are derived in Wagstaff and van Doorslaer (2003).

Syntax

fpimpov , totexp(varname) hexp(varname) pline(varlist) hhsize(varname) [hhweight(varname)] [quintile] [export]

Main arguments

- totexp(varname) indicates the variable measuring total household expenditure or consumption gross of out-of-pocket health spending. Note: the variable should be the total for the household, not the per capita amount.

- hexp(varname) indicates the variable measuring total household out-of-pocket health spending. Note: the variable should also be the total for the household, not the per capita amount.

- pline(varlist) is a variable or a list of variables (separated by a space) indicating the (per capita) poverty line(s), e.g. pline(PL1 PL2). Note: the poverty line(s) should be in per capita terms, and refer to the same time period as the consumption and expenditure data (e.g. per annum, per month, or per day).

- hhsize(varname) indicates the variable measuring household size.

Options

- hhweight(varname) indicates the household weight.

- The hhweight option causes fpimpov to use (household) weights.

- The quintile option causes fpimpov to compute the incidence of impoverishing payments for each quintile of total expenditure.

- The export option causes fpimpov to save the computed results to a Stata dataset and Excel file. The files are called IMPOVoutput.dta and IMPOVoutput.xls. To specify the directory where the files get written to, use the cd command. By default, the files get saved to the current directory. To display the current directory, use the pwd command.

Examples

fpimpov , totexp(hh_expd) hexp(hh_hexpd) pline(PL1) hhsize(hh_size)

fpimpov , totexp(hh_expd) hexp(hh_hexpd) pline(PL1) hhsize(hh_size) hhweight(hh_sampleweight)

fpimpov , totexp(hh_expd) hexp(hh_hexpd) pline(PL1 PL2 PL3) hhsize(hh_size) hhweight(hh_sampleweight)

fpimpov , totexp(hh_expd) hexp(hh_hexpd) pline(PL1 PL2 PL3) hhsize(hh_size) hhweight(hh_sampleweight) quintile

fpimpov , totexp(hh_expd) hexp(hh_hexpd) pline(PL1 PL2 PL3) hhsize(hh_size) hhweight(hh_sampleweight) quintile export

Notes

- Some authors use income rather than consumption or expenditure when assessing impoverishment. This is easily handled by specifying the name of the income variable in totexp(varname). The variable should be gross of out-of-pocket payments, i.e. payments should not have been subtracted from income.

Return values

r(PL1) Poverty line #1, similarly for other poverty lines
r(impov_pop_PL1) % of households impoverished by health spending using poverty line #1, similarly for other poverty lines
r(CI_PL1) Concentration index for impoverishing spending using poverty line #1, similarly for other poverty lines
r(CIse_PL1) Std error for concentration index for impoverishing spending using poverty line #1, similarly for other poverty lines
r(CIpv_PL1) Prob value for concentration index for impoverishing spending using poverty line #1, similarly for other poverty lines

r(impov_q1_PL1) % of households in poorest quintile impoverished by health spending using poverty line #1, similarly for other poverty lines and quintiles

Reference

- Wagstaff, A. and E. van Doorslaer (2003). "Catastrophe and impoverishment in paying for health care: with applications to Vietnam 1993-1998." Health Economics 12(11): 921-934.

Acknowledgements

fpimpov makes use of two user-written Stata programs: conindex written by Owen O'Donnell, Stephen O'Neill, Tom Van Ourti and Brendan Walsh, and tknz written by David C. Elliott and Nick Cox.

See also

fpcata which computes the incidence of catastrophic out-of-pocket spending on health. Help: fpcata if installed.

Authors

Patrick Hoang-Vu Eozenou (peozenou@worldbank.org), World Bank, Washington DC.

Adam Wagstaff (awagstaff@worldbank.org), World Bank, Washington DC.