What is the Contribution of Intra-household Inequality to Overall Income Inequality? Evidence from Global Data, 1973-2013

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📝 Abstract

Intra-household inequality continues to remain a neglected corner despite renewed focus on income and wealth inequality. Using the LIS micro data, we present evidence that this neglect is equivalent to ignoring up to a third of total inequality. For a wide range of countries and over four decades, we show that at least 30 per cent of total inequality is attributable to inequality within the household. Using a simple normative measure of inequality, we comment on the welfare implications of these trends.

💡 Analysis

Intra-household inequality continues to remain a neglected corner despite renewed focus on income and wealth inequality. Using the LIS micro data, we present evidence that this neglect is equivalent to ignoring up to a third of total inequality. For a wide range of countries and over four decades, we show that at least 30 per cent of total inequality is attributable to inequality within the household. Using a simple normative measure of inequality, we comment on the welfare implications of these trends.

📄 Content

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  What  is  the  Contribution  of  Intra-­‐household  Inequality  to   Overall  Income  Inequality?     Evidence  from  Global  Data,  1973-­‐2013  

 

 

  Deepak  Malghan   Indian  Institute  of  Management  Bangalore   dmalghan@iimb.ernet.in  

 

  Hema  Swaminathan1   Indian  Institute  of  Management  Bangalore   hema.swaminathan@iimb.ernet.in  

 

  August  2016  

 

  Abstract:     Intra-­‐household  inequality  continues  to  remain  a  neglected  corner  despite   renewed  focus  on  income  and  wealth  inequality.  Using  the  LIS  micro  data,  we   present  evidence  that  this  neglect  is  equivalent  to  ignoring  up  to  a  third  of  total   inequality.  For  a  wide  range  of  countries  and  over  four  decades,  we  show  that  at   least  30  per  cent  of  total  inequality  is  attributable  to  inequality  within  the   household.  Using  a  simple  normative  measure  of  inequality,  we  comment  on  the   welfare  implications  of  these  trends.  

  Keywords:  earnings,  inequality,  intra-­‐household;  Theil  decomposition    

 

 

                                                                                                                1  Acknowledgements:  We  would  like  to  thank  Prachi  Yogesh  Jain  and  Akilesh   Lakshminarayanan  for  excellent  research  assistance,  and  Suchitra  JY  for  many  insightful   discussions  on  this  topic.  All  errors  remain  our  own.    

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  1. Introduction    

  Intra-­‐household  inequality  remains  a  neglected  area  of  research  in  the  current   inequality  discourse.  With  globalization  affecting  all  corners  of  the  world,  global   inequality  is  cause  celebre;  yet  domestic  inequality  concerns  cannot  be  negated.   “Because  the  world  is  not  united  under  a  single  government,  however,  we  cannot   dispense  with  the  need  to  look  at  individual  nation-­‐states.”  (Milanovic,  2016,   pp1).  Within  national  boundaries,  many  group-­‐based  inequalities  are  studied   depending  on  the  country  context  –  race,  religion,  ethnicity,  caste  are  often  the   relevant  lens  to  sharpen  the  focus  on  inequality  (Kanbur,  2016).    Surprisingly,  a   study  of  the  household  as  a  social  unit  where  inequalities  play  out  has  largely   been  missing  in  this  literature.  A  few  exceptions  to  this  overall  neglect  include   (Rodriguez,  2016),  Malghan  &  Swaminathan(2015),  Lise  &  Seitz  (2011),  Sahn  &   Younger  (2009)  and  Haddad  &  Kanbur  (1990).    

  The  intra-­‐household  resource  allocation  literature  has  contributed  tremendously   to  our  understanding  of  gender  inequalities  within  the  household.  There  is   robust  empirical  evidence  that  there  is  heterogeneity  within  the  household  in   terms  of  resource  allocation  between  men  and  women.  Generally,  women  are   less  likely  to  earn  the  same  level  of  income  as  men,  less  likely  to  own  key  assets   and  consequently,  less  likely  to  be  as  wealthy  as  men.  There  are  of  course,  spatial   and  temporal  variations  in  the  levels  and  extent  of  such  inequalities  reflecting   evolving  socio-­‐cultural  norms,  structural  changes  in  the  economy,  and  policy   interventions.  These  within-­‐household  variations  can  provide  insights  into  the   long-­‐term  trends  of  inequality;  in  fact  ignoring  the  household  dynamics  can  lead   to  a  flawed  understanding  of  overall  inequality  patterns  (Chiappori  &  Meghir,   2014).      

  A  key  problem  with  measuring  poverty  or  inequality  is  the  disconnect  between   the  unit  of  analysis  and  the  unit  of  data  collection.  Typically,  one  is  concerned   with  the  wellbeing  of  the  individual,  but  the  smallest  unit  for  which  data  is   collected  is  usually

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