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The gender division of unpaid care work throughout the COVID-19 pandemic in Germany

  • Jonas Jessen ORCID logo EMAIL logo , C. Katharina Spiess , Sevrin Waights and Katharina Wrohlich
From the journal German Economic Review

Abstract

The COVID-19 pandemic and related closures of day care centres and schools significantly increased the amount of care work done by parents. There has been much speculation over whether the pandemic increased or decreased gender equality in parental care work. Based on representative data for Germany from spring 2020 and winter 2021 we present an empirical analysis that shows that although gender inequality in the division of care work increased to some extent in the beginning of the pandemic, it returned to the pre-pandemic level in the second lockdown almost nine months later. These results suggest that the COVID-19 pandemic neither aggravated nor lessened inequality in the division of unpaid care work among mothers and fathers in any persistent way in Germany.

JEL Classification: D13; J16; J22

Award Identifier / Grant number: 752053

Funding statement: Sevrin Waights acknowledges funding from a Marie Skłodowska-Curie Actions fellowship under the Horizon 2020 programme of the European Union (Project acronym: PAGE, Grant number: 752053).

Acknowledgment

We are grateful to Claire Samtleben for helpful comments. Andrew Judy and Louisanne Knierim provided excellent research assistance.

  1. Conflict of interest: The authors report no conflict of interest.

Appendix A
Figure A1

Division of other tasks among couples with at least one child aged up to 14 years.

Table A1

Regression results: Man does at least half of […].

(1) (2) (3) (4) (5) (6)
Panel A: Child care (pre-COVID mean: 0.039)

C O V I D 1 0.051** 0.047** 0.033 0.041** 0.018 0.075**
(0.020) (0.021) (0.021) (0.021) (0.027) (0.032)
C O V I D 2 0.015 0.020 0.029 0.002 0.039 −0.048
(0.020) (0.021) (0.022) (0.021) (0.026) (0.034)
Combined effect 0.067 0.067 0.062 0.043 0.057 0.026
p-value 0.002 0.006 0.012 0.069 0.060 0.492
Observations 2,194 4,653 4,653 4,653 2,714 1,939
Panel B: Housework (pre-COVID mean: 0.258)

C O V I D 1 0.034** 0.032* 0.028 0.028* 0.006 0.057**
(0.016) (0.017) (0.017) (0.016) (0.020) (0.027)
C O V I D 2 0.007 0.007 0.10 0.005 0.023 −0.022
(0.016) (0.018) (0.018) (0.017) (0.022) (0.017)
Combined effect 0.041 0.040 0.038 0.032 0.029 0.036
p-value 0.020 0.053 0.071 0.094 0.254 0.226
Observations 2,203 4,657 4,657 4,656 2,714 1,942
Sample years 2018/19–2020/21 2012/13–2020/21


Linear time trend Y Y Y Y Y
Control variables Y
Individual FEs Y Y Y
Respondents Both Both Both Both Women Men
  1. Notes: Table shows results of OLS regressions of the dependent variable on a binary indicator variable for the May–July 2020 survey wave ( C O V I D 1 ) and a binary indicator for both COVID survey waves ( C O V I D 2 ). Column 1 uses a sample of the last three survey waves only. Columns 2–6 use the last six survey waves. Columns 2, 3, and 4 reflect regressions of Equations 1, 2, and 3, respectively. Individual controls: marital status, birth year, sex, indicator for living in East Germany, education dummies and child age dummies. Columns 5 and 6 use the same specification as in column 4 but focusing only on female or male respondents, respectively. Sample weights provided in the pairfam dataset are used. Standard errors clustered at the respondent level in parenthesis. Significance levels: * p < 0.1, ** < 0.05, *** p < 0.01. Source: pairfam, waves 2012/13–2021/21 and COVID-19 supplement.

Table A2

Woman for the most part takes care off […].

(1) (2) (3) (4) (5) (6)
Panel A: Child care (pre-COVID mean: 0.588)

C O V I D 1 −0.133*** −0.124*** −0.110*** −0.115*** −0.137*** −0.086**
(0.023) (0.023) (0.023) (0.023) (0.031) (0.034)
C O V I D 2 0.066*** 0.059** 0.053** 0.072*** 0.084** 0.053
(0.025) (0.026) (0.025) (0.025) (0.034) (0.036)
Combined effect −0.067 −0.065 −0.056 −0.043 −0.053 −0.033
p-value 0.005 0.013 0.034 0.105 0.120 0.427
Observations 2,194 4,653 4,653 4,653 2,714 1,939
Panel B: Housework (pre-COVID mean: 0.495)

C O V I D 1 −0.090*** −0.082*** −0.074*** −0.078*** −0.128*** −0.010
(0.024) (0.024) (0.024) (0.024) (0.032) (0.035)
C O V I D 2 0.087*** 0.074*** 0.072*** 0.079*** 0.115*** 0.027
(0.024) (0.024) (0.024) (0.024) (0.033) (0.034)
Combined effect −0.003 −0.008 −0.003 0.000 −0.014 0.017
p-value 0.896 0.760 0.925 0.992 0.711 0.653
Observations 2,203 4,657 4,657 4,656 2,714 1,942
Sample years 2018/19–2020/21 2012/13–2020/21


Linear time trend Y Y Y Y Y
Control variables Y
Individual FEs Y Y Y
Respondents Both Both Both Both Women Men
  1. Notes: Table shows results of OLS regressions of the dependent variable on a binary indicator variable for the May–July 2020 survey wave ( C O V I D 1 ) and a binary indicator for both COVID survey waves ( C O V I D 2 ). Column 1 uses a sample of the last three survey waves only. Columns 2–6 use the last six survey waves. Columns 2, 3, and 4 reflect regressions of Equations 1, 2, and 3, respectively. Individual controls: marital status, birth year, sex, indicator for living in East Germany, education dummies and child age dummies. Columns 5 and 6 use the same specification as in column 4 but focusing only on female or male respondents, respectively. Sample weights provided in the pairfam dataset are used. Standard errors clustered at the respondent level in parenthesis. Significance levels: * p < 0.1, ** < 0.05, *** p < 0.01. Source: pairfam, waves 2012/13–2021/21 and COVID-19 supplement.

Table A3

Regression results: Woman (almost) completely takes care of […].

(1) (2) (3) (4) (5) (6)
Panel A: Shopping (pre-COVID mean: 0.193)

C O V I D 1 0.059*** 0.053*** 0.047** 0.053*** 0.073*** 0.026
(0.018) (0.018) (0.019) (0.018) (0.028) (0.021)
C O V I D 2 −0.053*** −0.038*** −0.041** −0.047*** −0.059** −0.028*
(0.017) (0.017) (0.017) (0.016) (0.026) (0.015)
Combined effect 0.006 0.014 0.006 0.006 0.014 −0.003
p-value 0.721 0.465 0.758 0.756 0.655 0.886
Observations 2,203 4,660 4,660 4,660 2,719 1,914
Panel B: Repairs (pre-COVID mean: 0.013)

C O V I D 1 0.002 0.002 0.003 0.003 −0.006 0.014
(0.006) (0.007) (0.008) (0.007) (0.011) (0.010)
C O V I D 2 −0.001 −0.001 −0.001 −0.003 −0.004 −0.000
(0.006) (0.006) (0.006) (0.007) (0.005) (0.015)
Combined effect 0.001 0.001 0.002 0.000 0.010 0.014
p-value 0.838 0.875 0.848 0.986 0.438 0.324
Observations 2,111 4,495 4,495 4,486 2,600 1,886
Panel C: Finance (pre-COVID mean: 0.099)

C O V I D 1 0.025* 0.028* 0.022 0.024* 0.041* 0.001
(0.015) (0.014) (0.015) (0.014) (0.022) (0.015)
C O V I D 2 −0.019 −0.014 −0.012 −0.017 −0.032 −0.006
(0.014) (0.014) (0.014) (0.014) (0.020) (0.017)
Combined effect 0.006 0.014 0.010 0.008 0.009 0.007
p-value 0.661 0.342 0.507 0.583 0.668 0.683
Observations 2,201 4,655 4,655 4,655 2,718 1,937
Sample years 2018/19–2020/21 2012/13–2020/21


Linear time trend Y Y Y Y Y
Control variables Y
Individual FEs Y Y Y
Respondents Both Both Both Both Women Men
  1. Notes: Table shows results of OLS regressions of the dependent variable on a binary indicator variable for the May–July 2020 survey wave ( C O V I D 1 ) and a binary indicator for both COVID survey waves ( C O V I D 2 ). Column 1 uses a sample of the last three survey waves only. Columns 2–6 use the last six survey waves. Columns 2, 3, and 4 reflect regressions of Equations 1, 2, and 3, respectively. Individual controls: marital status, birth year, sex, indicator for living in East Germany, education dummies and child age dummies. Columns 5 and 6 use the same specification as in column 4 but focusing only on female or male respondents, respectively. Sample weights provided in the pairfam dataset are used. Standard errors clustered at the respondent level in parenthesis. Significance levels: * p < 0.1, ** < 0.05, *** p < 0.01. Source: pairfam, waves 2012/13–2021/21 and COVID-19 supplement.

Table A4

Regression results: 50/50 division of […].

(1) (2) (3) (4) (5) (6)
Panel A: Shopping (pre-COVID mean: 0.193)

C O V I D 1 −0.059*** −0.053** −0.053** −0.056*** −0.045* −0.072*
(0.021) (0.022) (0.022) (0.022) (0.026) (0.038)
C O V I D 2 0.043** 0.040** 0.042** 0.041** 0.027 0.061*
(0.020) (0.020) (0.020) (0.020) (0.023) (0.034)
Combined effect −0.016 −0.013 −0.011 −0.016 −0.018 −0.011
p-value 0.453 0.600 0.653 0.512 0.521 0.794
Observations 2,203 4,660 4,660 4,660 2,719 1,914
Panel B: Repairs (pre-COVID mean: 0.013)

C O V I D 1 −0.012 −0.002 −0.002 −0.017 −0.011 −0.025
(0.015) (0.016) (0.016) (0.015) (0.023) (0.018)
C O V I D 2 −0.016 −0.020 −0.021 −0.024 −0.025 −0.022
(0.015) (0.015) (0.015) (0.015) (0.021) (0.019)
Combined effect −0.028 −0.022 −0.022 −0.041 −0,036 −0.047
p-value 0.054 0.185 0.180 0.014 0.121 0.039
Observations 2,111 4,495 4,495 4,486 2,600 1,886
Panel C: Finance (pre-COVID mean: 0.099)

C O V I D 1 −0.070*** −0.067*** −0.071*** −0.069*** −0.058** −0.084***
(0.019) (0.021) (0.021) (0.020) (0.027) (0.030)
C O V I D 1 0.061*** 0.040* 0.045** 0.058*** 0.069*** 0.041
(0.020) (0.021) (0.021) (0.020) (0.026) (0.030)
Combined effect −0.009 −0.027 −0.026 −0.012 0.011 −0.043
p-value 0.647 0.235 0.251 0.595 0.694 0.200
Observations 2,201 4,655 4,655 4,655 2,718 1,937
Sample years 2018/19–2020/21 2012/13–2020/21


Linear time trend Y Y Y Y Y
Control variables Y
Individual FEs Y Y Y
Respondents Both Both Both Both Women Men
  1. Notes: Table shows results of OLS regressions of the dependent variable on a binary indicator variable for the May–July 2020 survey wave ( C O V I D 1 ) and a binary indicator for both COVID survey waves ( C O V I D 2 ). Column 1 uses a sample of the last three survey waves only. Columns 2–6 use the last six survey waves. Columns 2, 3, and 4 reflect regressions of Equations 1, 2, and 3, respectively. Individual controls: marital status, birth year, sex, indicator for living in East Germany, education dummies and child age dummies. Columns 5 and 6 use the same specification as in column 4 but focusing only on female or male respondents, respectively. Sample weights provided in the pairfam dataset are used. Standard errors clustered at the respondent level in parenthesis. Significance levels: * p < 0.1, ** < 0.05, *** p < 0.01. Source: pairfam, waves 2012/13–2021/21 and COVID-19 supplement.

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Supplemental Material

The online version of this article offers supplementary material (https://doi.org/10.1515/ger-2022-0003).


Published Online: 2022-07-28
Published in Print: 2022-12-31

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