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Content uploaded by Susanne Elsas
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All content in this area was uploaded by Susanne Elsas on Oct 02, 2024
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PROBLEM SET
• Equivalence scales are used to assess welfare and
financial needs. • Scales are obtained from, e.g.,
satisfaction data (Schwarze 2003). • Endogeneity of
income and household size → biased estimates of
welfare / financial needs.
Accounting for endogeneity when estimating
equivalence scale elasticity from satisfaction data.
INSTRUMENTAL VARIABLE ESTIMATION
GMM estimation with heteroscedasticity-based instruments (Lewbel 2012), fixed
effects and clusterd standard errors.
Instrument construction is based on two steps
(implemented in Baum and Schaffer (2012)):
1. Auxiliary regression of endogenous regressors,
e.g. on exogenous variables of the model,
where :
2. Instruments are product of sample-centered
model variable and residuals from step 1:
is one of the
j
instruments for .
RESULTS
DATA AND MEASURES
Data: SOEP v37, 1985 to 2020, sample restrictions:
•Households w/o adults other than partner or adult children.
•No households w/ more than 7 children or children aged
30+ or individuals w/ special needs (care recipients).
•Respondents aged 18 to 100.
•W/o outer 2% of each year‘s per capita income distribution.
•W/o refugee and high income subsamples.
Measures:
•Income satisfaction = 0 to 10 Likert Scale.
•Monthly net household income.
•Household composition (number of household members
and of children < 14 y.).
•Exogenous controls (z): age, age2, interviewer experience.
•Additional controls: survey wave2, survey wave3, education,
hospital overnight stays, marital status, region (East/West),
labor market participation status, home ownership.
PAPER
Susanne Elsas1 & Melanie Borah2
1 State Institute for Family Research at the University of Bamberg, Germany 2 Otto von Guericke University Magdeburg, Germany
REFERENCES
1. Schwarze, J. (2003): Using Panel Data on Income Satisfaction to Estimate Equivalence Scale
Elasticity. Review of Income and Wealth, 49(3), 359-372.
2. Lewbel, A. (2012): Using Heteroscedasticity to Identify and Estimate Mismeasured and
Endogenous Regressor Models. Journal of Business & Economic Statistics, 30(1), 67-80.
3. Baum, C.F. & Schaffer, M.E. (2012): IVREG2H: Stata module to perform instrumental variables
estimation using heteroskedasticity-based instruments. Statistical Software Components,
S457555, Boston College Department of Economics, revised 11 Jul 2021.
CONTACT
susanne.elsas@ifb.uni-bamberg.de
orcid.org/0000-0001-5255-1080
CONCLUSION
Endogeneity of income and household size attenuates estimates in income satisfaction regressions.
In sum, the welfare effect of income is incorrectly estimated
Equivalence scale estimates are moderately affected: children’s needs are actually slightly lower.
Estimating equivalence scales from satisfaction data
with endogenous household size and income
MODEL
Where:
= income satisfaction
= household income
= n of children <14 in the household
= n of individuals in the household
i
= individual
t
= survey year
=log
+++
=log + log log +++
=
()
=+
= (
) +
Fig. 1: Heteroscedasticity in log(h)
SOEP v37. Own calculations. 356,317 observations
of 46,291 individuals.
OLS IV
a0.454 0.443
b0.045 0.058
Fig. 2: Binned scatterplots of predicted values of
income satisfaction
Lower equiv. weights for
children.
Families with children
enjoy higher welfare
than expected from OLS.
Tab 1: Estimated equivalence scale parameters
Fig. 3: Distribution of differently equivalized
incomes
SOEP v37. Own calculations. 356,317 observations of 46,291 individuals.
Endogeneity in the income measure and
in household size and composition atten-
uates estimates in income satisfaction
regression w/o IV. Incorrectly
estimated welfare effect of income.