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Table 9 Table 4 coefficients

From: An estimation of CPI biases in Argentina 1985–2005 and its implications on real income growth and income distribution

  Dep. Var.: Share of food at home  
Small set of control variables Extended set of control variables
Using Expenditure Using Income Using income as instrument of expenditure Using Expenditure Using Income Using income as instrument of expenditure
(1) (2) (3) (4) (5) (6)
Dummy for ENGH 96/97 − 0.126*** − 0.101*** − 0.134*** − 0.113*** − 0.088*** − 0.123***
(0.004) (0.004) (0.004) (0.004) (0.004) (0.004)
Dummy for ENGH 04/05 − 0135*** − 0.126*** − 0.142*** − 0.124*** − 0.108*** 0.134***
(0.005) (0.005) (0.005) (0.005) (0.005) (0.005)
Ln of household expenditure − 0.131***   − 0.151*** − 0.110***   − 0.131***
(0.002)   (0.003) (0.003)   (0.004)
Ln of household income   − 0.116***    − 0.087***  
  (0.003)    (0.003)  
Food prices/non-food prices 0.040*** 0.052*** 0.031** 0.041*** 0.056*** 0.031**
(0.015) (0.016) (0.015) (0.015) (0.015) (0.015)
Ln household size 0.079*** 0.091*** 0.088*** 0.094*** 0.091*** 0.100***
(0.005) (0.005) (0.005) (0.006) (0.007) (0.007)
Dummy for Capital Federal − 0.035*** − 0.045*** − 0.026*** − 0.031*** − 0.038*** − 0.026***
(0.004) (0.004) (0.004) (0.004) (0.004) (0.004)
% of members ages 0–4 − 0.059*** − 0.093*** − 0.071*** − 0.076*** − 0.082*** − 0.082***
(0.013) (0.014) (0.013) (0.016) (0.017) (0.016)
% of members ages 5–9 − 0.006 − 0.047*** − 0.017 − 0.053*** − 0.067*** − 0.057***
(0.013) (0.014) (0.013) (0.016) (0.016) (0.016)
% of members ages 10–15 0.020 − 0.025* 0.010 − 0.037** − 0.055*** − 0.041**
(0.013) (0.014) (0.013) (0.016) (0.017) (0.016)
% of members ages 15–19 − 0.002 − 0.038*** − 0.008 − 0.051*** − 0.070*** − 0.052***
(0.012) (0.013) (0.012) (0.014) (0.014) (0.014)
% of members ages 20–35     − 0.058*** − 0.056*** − 0.056***
    (0.007) (0.007) (0.007)
% of members ages 35–60     − 0.018*** − 0.017** − 0.015**
    (0.007) (0.007) (0.007)
Male head 0.006 0.006 0.007 0.011** 0.013** 0.010**
(0.005) (0.005) (0.005) (0.005) (0.005) (0.005)
Spouse present 0.027*** 0.017*** 0.026*** 0.008 − 0.005 0.010
(0.006) (0.006) (0.006) (0.031) (0.032) (0.031)
Head has a job − 0.033*** − 0.030*** − 0.026*** − 0.013* − 0.011 − 0.008
(0.004) (0.005) (0.004) (0.007) (0.007) (0.007)
Spouse has a job − 0.027*** − 0.023*** − 0.025*** − 0.009 − 0.009 − 0.009
(0.008) (0.009) (0.008) (0.009) (0.009) (0.009)
Head and spouse have both a job 0.005 0.010 0.006 0.001 0.004 0.001
(0.009) (0.009) (0.009) (0.009) (0.009) (0.009)
Owner occupied 0.056*** 0.071*** 0.054*** 0.057*** 0.073*** 0.052***
(0.004) (0.004) (0.004) (0.004) (0.004) (0.004)
Free housing occupied 0.059*** 0.076*** 0.051*** 0.062*** 0.079*** 0.055***
(0.005) (0.006) (0.006) (0.005) (0.006) (0.006)
Head has public job     − 0.012* − 0.005 − 0.013**
    (0.006) (0.007) (0.007)
Head has private job     − 0.018*** − 0.013** − 0.018***
    (0.006) (0.006) (0.006)
Head self-employed     − 0.003 − 0.002 − 0.005
    (0.005) (0.006) (0.005)
Head employer     − 0.015** − 0.017** − 0.009
    (0.007) (0.008) (0.007)
Household has a last one car     − 0.031*** − 0.045*** − 0.022***
    (0.004) (0.004) (0.004)
Number of income recipients     − 0.009*** − 0.005* − 0.007**
    (0.003) (0.003) (0.003)
Head is married     0.008 0.017 0.007
    (0.030) (0.031) (0.030)
Head is single     0.006 0.006 0.004
    (0.006) (0.007) (0.006)
Head unmarried with spouse     0.004 0.016 0.000
    (0.030) (0.032) (0.031)
Head has primary complete education     − 0.003 − 0.008 0.000
    (0.005) (0.005) (0.005)
Head has secondary incomplete education     − 0.021*** − 0.031*** − 0.014**
    (0.006) (0.006) (0.006)
Head has secondary complete education     − 0.026*** − 0.039*** − 0.017***
    (0.006) (0.006) (0.006)
Head has superior incomplete education     − 0.056*** − 0.073*** − 0.042***
    (0.009) (0.010) (0.009)
Head has superior complete education     − 0.044*** − 0.062*** − 0.029***
    (0.006) (0.007) (0.007)
Head has a second job     − 0.003 − 0.007 − 0.001
    − 0.005 − 0.005 − 0.005
Spouse has a second job     (0.013) − 0.014* (0.012)
    − 0.009 − 0.008 − 0.009
Sector of head’s job: agriculture, fishing, etc.     0.010 0.008 0.011
    − 0.024 − 0.030 − 0.023
Sector of head’s job: mining     (0.040) (0.038) (0.036)
    − 0.029 − 0.029 − 0.028
Sector of head’s job: food manufacturing     0.003 0.002 0.004
    − 0.011 − 0.012 − 0.011
Sector of head’s job: textile manufacturing     0.009 0.010 0.008
    − 0.009 − 0.009 − 0.009
Sector of head’s job: other manufacturing     0.004 0.001 0.005
    − 0.006 − 0.006 − 0.006
Sector of head’s job: electricity, gas and water     0.001 0.009 0.000
    − 0.013 − 0.013 − 0.013
Sector of head’s job: construction     0.010 0.011 0.008
    − 0.007 − 0.007 − 0.007
Sector of head’s job: wholesale and retail trade     0.004 (0.001) 0.005
    − 0.006 − 0.007 − 0.006
Sector of head’s job: restaurants and hotels     (0.007) (0.011) (0.010)
    − 0.012 − 0.012 − 0.012
Sector of head’s job: transport, and Communication     0.018*** 0.019*** 0.019***
    − 0.007 − 0.007 − 0.007
Sector of head’s job: financing, insurance, etc.     0.000 (0.005) 0.002
    − 0.007 − 0.007 − 0.007
Sector of head’s job: education, health, etc.     0.009 0.008 0.009
    (0.006) (0.007) (0.006)
Sector of head’s job: repair services     0.014 0.015 0.012
    (0.011) (0.012) (0.011)
Sector of head’s job: other sectors     0.002 0.000 0.000
    (0.008) (0.008) (0.008)
Constant 1.224*** 1.111*** 1.348*** 1.113*** 0.951*** 1.246***
(0.016) (0.019) (0.020) (0.019) (0.022) (0.027)
Observations 10,380 10,364 10,364 10,380 10,364 10,364
R-squared 0.483 0.432 0.478 0.503 0.463 0.499
Adj. R-squared 0.482 0.431 0.478 0.500 0.460 0.497
  1. Notes Robust standard errors in parentheses. * significant at 10%; ** significant at 5%; *** significant at 1%
  2. Source Own elaboration based on expenditure surveys