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Appendix E: Correlates of differences

Table 15: Correlates of differences
Variable (1)
HES earnings-
IRD earnings
(2)
abs(HES -
IRD)
(3)
ln(HES) -
ln(IRD)
(4)
abs[ln(HES) -
ln(IRD)]
IRD comparable income -0.2*** 0.2***    
  (0.024) (0.021)    
ln(IRD comparable income)     -0.29*** -0.28***
      (0.009) (0.008)
Female -4884*** -1662*** -0.12*** -0.12***
  (442) (399) (0.008) (0.007)
Aged 15-24 -5927*** -1636*** -0.3*** -0.19***
  (699) (620) (0.015) (0.013)
Aged 25-54 -1077** -2233*** -0.03*** -0.03***
  (446) (404) (0.008) (0.007)
Doctorate degree 1586 -7418*** 0.03 0.01
  (1613) (1475) (0.036) (0.034)
Level 1 certificate - level 3 certificate -5853*** 26 -0.14*** -0.1***
  (736) (658) (0.012) (0.01)
Level 4 certificate -4945*** 84 -0.09*** -0.09***
  (822) (751) (0.013) (0.011)
Level 5 diploma, level 6 diploma -4106*** -11 -0.07*** -0.04***
  (690) (630) (0.013) (0.012)
Master's degree 1102 -1202 0.02 0.04**
  (1223) (1074) (0.02) (0.018)
No qualification -8728*** 136 -0.22*** -0.13***
  (879) (792) (0.015) (0.013)
Education not specified -1818 10125 -0.04 -0.1*
  (3280) (2544) (0.088) (0.059)
Other NZ secondary school qualification -5928*** 1556 -0.16*** -0.08*
  (1995) (1848) (0.056) (0.046)
Other post-school qualification -5261*** 269 -0.1*** -0.07***
  (1029) (941) (0.017) (0.014)
Overseas secondary school qualification -6529*** -574 -0.16*** -0.09***
  (907) (789) (0.022) (0.019)
Postgraduate and honours degrees 1864* -823 0.04*** 0.01
  (1007) (907) (0.015) (0.013)
Māori -682* -282 0.01 0.01
  (379) (342) (0.012) (0.01)
Pacific -3455*** 118 -0.07*** 0.03**
  (435) (357) (0.016) (0.013)
Asian -4240*** 1542*** -0.1*** -0.01
  (614) (562) (0.014) (0.012)
Middle Eastern/Latin American/African -2622 3810** -0.03 0.05
  (1759) (1520) (0.047) (0.038)
Other ethnicity -1418* -684 -0.04** -0.02
  (806) (711) (0.017) (0.013)
Hours worked (from HES) 22*** 5 0.00 0.00
  (4) (3) (0.000) (0.000)
N 31,821 31,821 31,821 31,821
R-squared 0.079 0.115 0.153 0.192

Notes: Each column in this table shows the output of a separate regression. Columns (1) and (2) use the difference and absolute difference of HES and IRD incomes as the dependent variable. Columns (3) and (4) use the difference and absolute difference in log income as the dependent variable. The same observations are used in each regression. The observations are restricted to those with positive income (> $1) for both HES and IRD income and no missing covariates. The observation count has been randomly rounded to base 3. The leave out category for education is a bachelor's degree. The leave out ethnicity is European (though people can be in multiple ethnicity categories). The leave out age category is those 55 and over. Robust standard errors in parentheses. Stars denote: * p < 0.1, ** p <0.05, *** p < 0.01.

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