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Open Access

(Breaking) Intergenerational Transmission of Mental Health

View ORCID ProfileAline Bütikofer, View ORCID ProfileRita Ginja, View ORCID ProfileKrzysztof Karbownik and View ORCID ProfileFanny Landaud
Journal of Human Resources, April 2024, 59 (S) S108-S151; DOI: https://doi.org/10.3368/jhr.1222-12711R2
Aline Bütikofer
Aline Bütikofer is a professor of economics at Norwegian School of Economics.
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Rita Ginja
Rita Ginja is a professor of economics at University of Bergen.
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Krzysztof Karbownik
Krzysztof Karbownik is an assistant professor of economics at Emory University (corresponding author, .
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  • For correspondence: [email protected]
Fanny Landaud
Fanny Landaud is a CNRS researcher at CY Cergy Paris University.
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    Figure 1

    Effects of the Intervention by Age in 2007

    Notes: This figure uses the same sample and outcome as Table 9. The figure presents estimates for βτ from Equation 4. Whiskers show 95 percent confidence intervals for each point estimate. Standard errors are clustered by children’s municipality of birth.

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    Table 1

    Summary of Prior Findings on Intergenerational Mental Health Correlations

    StudyCountryDataSurvey DataMaximum Sample SizeHealth OutcomesMain Results
    (1)(2)(3)(4)(5)(6)(7)
    Johnston, Schurer, Shields (2013)UK1970 British Cohort StudyYes8,194(1) Mother and children (two generations): 9-question subset of the 24-item Malaise Inventory
    (2) Mother and grandmother (three generations): 9-question subset of the 24-item Malaise Inventory
    (3) Children (three generations): SDQ questionnaire
    (2) Two generations: mother–child mental health IC of 0.13* to 0.19* (SD)
    (2) Three generations: mother–child mental health IC of 0.31* (SD) and grandmother–child (conditional on mother) of 0.03 (SD)
    Hancock et al. (2013)AustraliaGrowing Up in Australia: The Longitudinal Study of Australian ChildrenYes4,069(1) Children: SDQ questionnaire
    (2) Parents: Kessler K6 scale of nonspecific psychological distress
    (3) Grandparents: reported by parents based on binary question “Did your father/mother suffer from nervous or emotional trouble or depression?”
    (1) Additional 1.9*, 0.9*, and 1.2* SDQ points if mother, father, or both parents had mental health problems, respectively
    (2) Additional 0.4* (maternal), 0.2 (paternal), 0.5* (maternal), and 0.4 (paternal) SDQ points if grandmothers and grandfathers had mental health problems, respectively
    Knight, Menard, Simmons (2014)USANational Youth Survey Family StudyYes1,725Annual substance use frequency (alcohol, marijuana, other drugs) of both parents and childrenElasticities ranging from −0.03 (for other drugs use at ages 12–17) to 0.23* (for alcohol use at ages 18–24)
    Eley et al. (2015)SwedenTwin and Offspring Study of SwedenYes876(1) Parental anxiety: 20 items from the Karolinska Scales of Personality
    (2) Children anxiety: items from Child Behavior Checklist
    (3) Neuroticism based on Eysenck Personality Questionnaire for both parents and children
    (1) Anxiety ICCs of 0.02–0.20*
    (2) Neuroticism ICCs of 0.03–0.21*
    Akbulut-Yuksel and Kugler (2016)USANLSY79Yes19,165Indicator of self-reporting being depressed (sometimes, a moderate amount of this or most of the time during past week) for both mother and childrenMother’s depression increases the likelihood of child being depressed by 9* and 0.3 percentage points for native-born and immigrant children, respectively
    Eyal and Burns (2019)South AfricaNational Income Dynamics SurveyYes3,111Center for Epidemiological Studies Short Depression Scale (CES-D 10) for both parents and childrenParental depression increases likelihood of adolescent depression by 31* to 35* percentage points
    Bencsik, Halliday, Mazumder (2021)UKBritish Household Panel Survey and UK Household Longitudinal SurveyYes5,292Mental health index based on 5 questions in the Short Form 12 SurveyParents–children IC of 0.22*
    Vera-Toscano and Brown (2021)AustraliaHousehold, Income and Labor Dynamics in AustraliaYes1,960Mental health index based on five questions in the Short Form 36 Health SurveyParents–children ICs of 0.18* to 0.21*
    This paperNorwayAdministrative health and social security dataNo370,498Medically diagnosed mental health conditions based on ICPC-2 classification (code P)(1) Parent–child mental health IC of 0.05*. Extensive margin: 10* percentage points increase in P(diagnosed)
    (2) Extended family–child mental health IC of 0.09*. Extensive margin: 17* percentage point increase in P (diagnosed)
    • Notes: This table summarizes findings from prior research on intergenerational correlations in mental health. Column 1 provides study reference, Column 2 gives the country of origin of the data, Column 3 gives the specific data sets used, Column 4 indicates if the data sets are survey-based, Column 5 provides the maximum sample size used in the paper, Column 6 describes the mental health outcomes used, and Column 7 describes the main findings. ∗ implies that the result is statistically significant at least at the 10 percent level. The lack of asterisk implies that the result is not statistically significant at conventional levels.

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    Table 2

    Descriptive Statistics

    All Children Age 13–18Analysis Sample
    MeanSDMeanSD
    (1)(2)(3)(4)
    Panel A: Children
    Any primary care visits100.000.00100.000.00
    Any GP visits94.7622.2994.3023.19
    Any ER visits63.9048.0366.7547.11
    Total of primary care visits13.4114.4214.0014.83
    Total of GP visits11.6613.1612.1113.51
    Total of ER visits1.752.741.892.89
    Any MH diagnosis23.0942.1424.0042.71
    Any non-MH diagnosis99.427.5899.477.23
    Depression6.7225.036.9625.45
    Other MH11.5231.9311.9532.44
    Any hospitalization53.8449.8555.4749.70
    Any specialist care visit for MH4.0319.674.1119.85
    Birth weight (grams)3,557.07596.153,559.31595.16
    Age at first observation14.201.5513.941.37
    Male0.510.500.510.50
    GPA4.090.824.050.83
    At least one parent with college degree0.360.480.330.47
    Panel B: Mother
    Any sick leave (ages 25–30)0.500.500.540.50
    Days of sick leave (ages 25–30)18.8833.3420.2233.46
    Any mental health sick leave (ages 25–30)0.060.240.070.26
    Any musculoskeletal sick leave (ages 25–30)0.210.400.230.42
    Any depression sick leave (ages 25–30)0.040.200.050.21
    Year of birth1,968.695.151,970.874.10
    Annual income383,428.34221,928.04386,559.05211,462.54
    Panel C: Father
    Any sick leave (ages 25–30)0.260.440.280.45
    Days of sick leave (ages 25–30)8.5525.789.0726.14
    Any mental health sick leave (ages 25–30)0.030.180.040.19
    Any musculoskeletal sick leave (ages 25–30)0.150.350.160.37
    Any depression sick leave (ages 25–30)0.020.140.020.14
    Year of birth1,966.515.281,968.874.10
    Annual income616,975.73452,671.12616,756.86402,386.02
    • Notes: The table uses two different samples: the full population of children born in Norway between 1988 and 2007, for whom health is measured and parents are observed (Columns 1 and 2), and the subsample of children included in our main analyses (Columns 3 and 4). For each sample, the table shows means (and standard deviations) of background and health characteristics. Children’s GP or ER visits and related diagnoses and treatments are measured between ages 13 and 18, and parents’ health is measured between ages 25 and 30. MH denotes mental health.

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    Table 3

    Dynastic Correlations in Mental Health: Extensive Margin Estimates

    (1)(2)(3)(4)(5)(6)(7)
    Parents’ MH9.805***9.664***9.641***9.589***9.583***9.569***9.257***
    (0.254)(0.254)(0.254)(0.254)(0.254)(0.254)(0.255)
    Parents’ siblings MH2.990***2.925***2.876***2.871***2.848***2.557***
    (0.208)(0.208)(0.208)(0.208)(0.208)(0.210)
    Spouses of parents’ siblings MH1.507***1.469***1.465***1.417***1.181***
    (0.256)(0.256)(0.256)(0.256)(0.258)
    Parents’ cousins MH1.703***1.665***1.654***1.475***
    (0.163)(0.163)(0.163)(0.164)
    Spouses of parents’ cousins MH0.679***0.676***0.556***
    (0.195)(0.195)(0.195)
    Siblings of spouses of parents’ siblings MH1.025***0.883***
    (0.206)(0.208)
    Control for OHNoNoNoNoNoNoYes
    Mean22.9
    Sum of coefficients12.714.115.616.317.215.9
    SE0.30.40.40.50.50.5
    R20.0520.0520.0520.0530.0530.0530.053
    N370,498370,498370,498370,498370,498370,498370,498
    • Notes: The outcome is an indicator that takes the value of one if the child had a primary healthcare visit with a mental-health-related symptom or diagnosis, and zero otherwise. The independent variables take value one if a parent or a relative has had a sick leave due to mental health symptoms or diagnoses, and zero otherwise. Outcome variables are multiplied by 100. Child health is measured at ages 13–18, while parental health is measured at ages 25–30. One observation per parent–child pair in all regressions. Controls included in the regressions but excluded from the table are indicators for the number of maternal and paternal siblings, siblings’ spouses, cousins, spouses of cousins, and siblings of spouses of parents’ siblings, gender of the child, fixed effects for the year of birth and for the year when the child is first observed in the primary healthcare data (KHUR), and indicators for whether it is possible to identify in the data each grandparent and great-grandparent. MH denotes mental health, while OH denotes non-mental health events. Eicker–Huber–White robust standard errors in parentheses. Significance: *p < 0.10, **p < 0.05, ***p < 0.01.

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    Table 4

    Dynastic Correlations in Mental Health: Intensive Margin Estimates

    (1)(2)(3)(4)(5)(6)(7)(8)
    Parents’ MH0.050***0.050***0.049***0.049***0.049***0.049***0.048***0.031***
    (0.003)(0.003)(0.003)(0.003)(0.003)(0.003)(0.003)(0.002)
    Parents’ siblings MH0.017***0.017***0.017***0.017***0.017***0.016***0.011***
    (0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)
    Spouses of parents’ siblings MH0.007***0.007***0.007***0.007***0.006***0.004***
    (0.002)(0.002)(0.002)(0.002)(0.002)(0.001)
    Parents’ cousins MH0.007***0.007***0.007***0.006***0.005***
    (0.002)(0.002)(0.002)(0.002)(0.001)
    Spouses of parents’ cousins MH0.0020.0020.0020.002
    (0.002)(0.002)(0.002)(0.001)
    Siblings of spouses of parents’ siblings MH0.004**0.003*0.002**
    (0.002)(0.002)(0.001)
    Control for OHNoNoNoNoNoNoYesNo
    Sum of coefficients0.0670.0730.0800.0820.0850.0800.055
    SE0.0030.0040.0050.0050.0050.0050.004
    R20.0320.0320.0320.0320.0320.0320.0340.032
    N370,498370,498370,498370,498370,498370,498370,498370,498
    • Notes: The outcome is the (standardized) number of primary healthcare visits with a mental-health-related symptom or diagnosis in Columns 1–7. The independent variables are the (standardized) number of sick leaves due to mental health symptoms or diagnoses per dynastic category in Columns 1–7. In Column 8 the outcome is the number of primary healthcare visits with a mental-health-related symptom or diagnosis and the independent variables are the average number of sick leaves due to mental health symptoms or diagnoses per dynastic category. Child health is measured at ages 13–18 while parental health is measured at ages 25–30. One observation per parent–child pair in all regressions. Controls included in the regressions but excluded from the table are indicators for the number of maternal and paternal siblings, siblings’ spouses, cousins, spouses of cousins, and siblings of spouses of parents’ siblings, gender of the child, fixed effects for the year of birth and for the year when the child is first observed in the primary healthcare data (KHUR), and indicators for whether it is possible to identify in the data each grandparent and great-grandparent. MH denotes mental health, while OH denotes non-mental health events. Eicker–Huber–White robust standard errors in parentheses. Significance: *p < 0.10, **p < 0.05, ***p < 0.01.

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    Table 5

    Dynastic Correlations in Non-Mental Health: Intensive Margin Estimates

    (1)(2)(3)(4)(5)(6)(7)
    Parents’ OH0.062***0.060***0.060***0.059***0.059***0.059***0.058***
    (0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)
    Parents’ siblings OH0.023***0.023***0.023***0.023***0.023***0.022***
    (0.002)(0.002)(0.002)(0.002)(0.002)(0.002)
    Spouses of parents’ siblings OH0.007***0.007***0.006***0.006***0.006***
    (0.001)(0.001)(0.001)(0.001)(0.001)
    Parents’ cousins OH0.009***0.009***0.009***0.008***
    (0.001)(0.001)(0.001)(0.001)
    Spouses of parents’ cousins OH0.004***0.004***0.004***
    (0.001)(0.001)(0.001)
    Siblings of spouses of parents’ siblings OH0.003*0.003*
    (0.001)(0.001)
    Control for MHNoNoNoNoNoNoYes
    Sum of coefficients0.0830.0900.0950.1000.1020.105
    SE0.0020.0030.0040.0040.0040.004
    R20.2430.2440.2440.2440.2440.2440.245
    N370,498370,498370,498370,498370,498370,498370,498
    • Notes: The outcome is the (standardized) number of primary healthcare visits with a non-mental-health related symptom or diagnosis. The independent variables are the (standardized) number of sick leaves due to non-mental health symptoms or diagnoses per dynastic category. Child health is measured at ages 13–18, while parental health is measured at ages 25–30. One observation per parent–child pair in all regressions. Controls included in the regressions but excluded from the table are indicators for the number of maternal and paternal siblings, siblings’ spouses, cousins, spouses of cousins, and siblings of spouses of parents’ siblings, gender of the child, fixed effects for the year of birth and for the year when the child is first observed in the primary healthcare data (KHUR), and indicators for whether it is possible to identify in the data each grandparent and great-grandparent. MH denotes mental health while OH denotes non-mental health events. Eicker–Huber–White robust standard errors in parentheses. Significance: *p < 0.10, **p < 0.05, ***p < 0.01.

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    Table 6

    Dynastic Correlations in Education

    (1)(2)(3)(4)(5)(6)(7)(8)(9)
    Parents0.450***0.386***0.383***0.377***0.377***0.376***0.373***0.373***0.371***
    (0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)
    Parents’ siblings0.122***0.112***0.106***0.106***0.105***0.104***0.103***0.102***
    (0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)
    Spouses of parents’ siblings0.024***0.022***0.022***0.016***0.016***0.015***0.015***
    (0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)
    Parents’ cousins0.036***0.035***0.034***0.034***0.034***0.033***
    (0.002)(0.002)(0.002)(0.002)(0.002)(0.002)
    Spouses of parents’ cousins0.003*0.003*0.003*0.0030.003
    (0.002)(0.002)(0.002)(0.002)(0.002)
    Siblings of spouses of parents’ siblings0.014***0.014***0.014***0.013***
    (0.002)(0.002)(0.002)(0.002)
    Control for MHNoNoNoNoNoNoYesNoYes
    Control for OHNoNoNoNoNoNoNoYesYes
    Sum of coefficients0.5080.5190.5410.5430.5490.5430.5410.537
    SE0.0020.0020.0020.0030.0030.0030.0030.003
    R20.3010.3110.3110.3120.3120.3130.3130.3130.314
    N265,174265,174265,174265,174265,174265,174265,174265,174265,174
    • Notes: The outcome is the (standardized) GPA in the final year (Grade 10) of compulsory schooling. Education in the parents’ generations is measured as standardized years of schooling. One observation per parent–child pair in all regressions. Controls included in the regressions but excluded from the table are indicators for the number of maternal and paternal siblings, siblings’ spouses, cousins, spouses of cousins, and siblings of spouses of parents’ siblings, gender of the child, fixed effects for the year of birth and for the year when the child is first observed in the primary healthcare data (KHUR), and indicators for whether it is possible to identify in the data each grandparent and great-grandparent. MH denotes mental health, while OH denotes non-mental health events. Eicker–Huber–White robust standard errors in parentheses. Significance: *p < 0.10, **p < 0.05, ***p < 0.01.

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    Table 7

    Dynastic Correlations in Mental Health: Sensitivity Analysis (Extensive Margin Estimates)

    (1)(2)(3)(4)(5)(6)(7)(8)
    Parents’ MH9.569***11.025***8.401***7.372***6.785***6.755***7.012***8.865***
    (0.254)(0.260)(0.247)(0.276)(0.278)(0.317)(0.321)(0.217)
    Parents’ siblings MH2.848***3.717***2.612***2.078***1.865***1.794***1.933***2.498***
    (0.208)(0.211)(0.202)(0.222)(0.222)(0.250)(0.260)(0.181)
    Spouses of parents’ siblings MH1.417***1.195***1.302***0.694**0.607**0.673**0.634**0.988***
    (0.256)(0.260)(0.250)(0.273)(0.273)(0.308)(0.320)(0.217)
    Parents’ cousins MH1.654***1.797***1.466***0.951***0.818***0.881***0.764***1.144***
    (0.163)(0.160)(0.159)(0.175)(0.175)(0.199)(0.205)(0.163)
    Spouses of parents’ cousins MH0.676***0.2060.615***0.393*0.2620.0180.1551.016***
    (0.195)(0.193)(0.189)(0.209)(0.209)(0.237)(0.245)(0.188)
    Siblings of spouses of parents’ siblings MH1.025***0.593***0.857***0.447**0.3290.1040.2950.690***
    (0.206)(0.206)(0.200)(0.218)(0.218)(0.244)(0.256)(0.173)
    Baseline controlsXXXXXXX
    No controlsX
    Nb. PC visitsXXXXX
    SelectionXXXX
    IndividualXXX
    SchoolsX
    GPX
    Parental age25–3030–35
    Sum of coefficients17.218.515.311.910.710.210.815.2
    SE0.50.50.50.50.50.60.60.4
    R20.0530.0080.1010.1080.1140.1650.1520.049
    N370,498370,498370,498315,173314,919263,210251,763356,425
    • Notes: This table presents robustness checks for the result from Column 6 of Table 3. Column 1 replicates this result, Column 2 drops all control variables, Column 3 replicates Column 1 additionally controlling for fixed effects for the number of primary care (PC) visits, Column 4 further adds controls for determinants of selection (Online Appendix Tables A8 and A9), Column 5 further adds individual level controls (birth weight, birth order, indicators for mother’s and father’s age at the time of child’s birth, and fixed effects for mother’s municipality of residence at the time of child’s birth), Column 6 further adds middle school-by-cohort fixed effects, Column 7 replicates Column 5 but adds the child’s GP fixed effects, and finally Column 8 replicates the results from Column 1 but measures parental mental health events at ages 30–35 rather than 25–30. MH denotes mental health. Eicker–Huber–White robust standard errors in parentheses. Significance: *p < 0.10, **p < 0.05, ***p < 0.01.

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    Table 8

    Dynastic Correlations in Mental Health: Sensitivity Analysis (Intensive Margin Estimates)

    (1)(2)(3)(4)(5)(6)(7)(8)
    Parents’ MH0.049***0.055***0.040***0.037***0.034***0.034***0.037***0.051***
    (0.003)(0.003)(0.002)(0.003)(0.003)(0.003)(0.003)(0.002)
    Parents’ siblings MH0.017***0.021***0.015***0.013***0.012***0.011***0.012***0.013***
    (0.002)(0.002)(0.002)(0.003)(0.003)(0.003)(0.003)(0.002)
    Spouses of parents’ siblings MH0.007***0.008***0.007***0.004**0.004**0.0020.0040.003**
    (0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)
    Parents’ cousins MH0.007***0.010***0.005***0.0020.0010.0030.0010.009***
    (0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)
    Spouses of parents’ cousins MH0.0020.003*0.002−0.000−0.000−0.000−0.0020.004**
    (0.002)(0.002)(0.001)(0.002)(0.002)(0.002)(0.002)(0.002)
    Siblings of spouses of parents’ siblings MH0.004**0.004**0.002−0.000−0.0010.000−0.0020.002
    (0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)(0.002)
    Baseline controlsXXXXXXX
    No controlsX
    Nb. PC visitsXXXXX
    SelectionXXXX
    IndividualXXX
    SchoolsX
    GPX
    Parental age25–3030–35
    Sum of coefficients0.0850.1010.0710.0550.0510.0500.0500.083
    SE0.0050.0050.0040.0050.0050.0060.0060.005
    R20.0320.0040.1270.1320.1370.1840.1740.028
    N370,498370,498370,498315,173314,919264,558251,763356,425
    • Notes: This table presents robustness checks for the result from Column 6 of Table 4. Column 1 replicates this result, Column 2 drops all control variables, Column 3 replicates Column 1 additionally controlling for fixed effects for the number of primary care (PC) visits, Column 4 further adds controls for determinants of selection (Online Appendix Tables A8 and A9), Column 5 further adds individual level controls (birth weight, birth order, indicators for mother’s and father’s age at the time of child’s birth, and fixed effects for mother’s municipality of residence at the time of child’s birth), Column 6 further adds middle school-by-cohort fixed effects, Column 7 replicates Column 5 but adds child’s GP fixed effects, and finally Column 8 replicates the results from Column 1 but measures parental mental health events at ages 30–35 rather than 25–30. MH denotes mental health. Eicker–Huber–White robust standard errors in parentheses. Significance: *p < 0.10, **p < 0.05, ***p < 0.01.

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    Table 9

    Effects of the Pilot Program on the Intergenerational Persistence of Mental Health Conditions

    AllCollegeNo CollegeMalesFemales
    (1)(2)(3)(4)(5)
    Panel A: Baseline
    1[Parental MH]9.730***8.983***10.104***8.699***10.840***
    (0.461)(0.532)(0.671)(0.669)(0.905)
    1[Parental MH] × (Age 2007 ≤ 6) × Pilot−3.796***−6.210***−2.141−3.603**−3.916***
    (0.927)(1.307)(1.390)(1.574)(1.253)
    N129,68360,59669,08766,07463,609
    Panel B: Duration
    1[Parental MH]9.801***8.965***10.148***8.649***11.036***
    (0.466)(0.545)(0.656)(0.730)(0.943)
    1[Parental MH] × Duration × Pilot−1.114***−2.425***−0.568−1.403***−0.795*
    (0.277)(0.488)(0.341)(0.507)(0.403)
    N129,68360,59669,08766,07463,609
    Panel C: Control for Municipality Trends
    1[Parental MH]9.703***9.007***10.076***8.673***10.804***
    (0.457)(0.535)(0.671)(0.667)(0.887)
    1[Parental MH] × (Age 2007 ≤ 6) × Pilot−3.778***−6.145***−2.137−3.610**−3.866***
    (0.920)(1.327)(1.388)(1.558)(1.242)
    N129,68360,59669,08766,07463,609
    • Notes: The table focuses on all children born in the 26 treated and the 22 matched-control Norwegian municipalities between 1996 and 2005. For all panels, each column corresponds to a separate regression where we compare the mental health of children who were older versus aged 6 or younger at the start of the program, were born in treated versus matched-control municipalities, and had parents with versus without mental health conditions. Children’s mental health outcome is an indicator for any mental health GP or ER visit between ages 13–18, multiplied by 100. “1[Parental MH]” is an indicator for parental MH-related diagnoses between 2000 and 2010. “Pilot” is an indicator of whether the child was born in one of the 26 pilot municipalities. “Age 2007 ≤ 6” indicates cohorts of children who were 6 or younger in 2007, namely at the start of the pilot program. In Panel B, “Duration” is the number of years during which each cohort of children was aged 6 or below between 2007 and 2010. This variable equals zero for children born between 1996 and 2000, one for children born in 2001, two for children born in 2002, three for children born in 2003, and four for children born in 2004 and 2005. Controls excluded from the table and included in the model are fixed effects for children’s year of birth, indicators for the ages of mothers and fathers at the time of the child’s birth, child’s birth weight, child’s birth order, indicators for father’s and mother’s educational attainments, children’s municipality of birth fixed effects, and interactions between the main dependent variables of interest described above. Panel C expands the set of controls to include interactions between cohort fixed effects with the following pre-trial municipality characteristics: number of GPs per 1,000 inhabitants, number of school nurses per 1,000 school-age students, number of school doctors per 1,000 school-age students, number of health professional per 1,000 inhabitants, and population. There is one observation per parent–child pair in all regressions. Columns 2 and 3 present results by parental education and Columns 4 and 5 by the child’s gender. Standard errors are clustered by children’s municipality of birth. Significance: *p < 0.10, **p < 0.05, ***p < 0.01.

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Journal of Human Resources: 59 (S)
Journal of Human Resources
Vol. 59, Issue S
1 Apr 2024
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(Breaking) Intergenerational Transmission of Mental Health
Aline Bütikofer, Rita Ginja, Krzysztof Karbownik, Fanny Landaud
Journal of Human Resources Apr 2024, 59 (S) S108-S151; DOI: 10.3368/jhr.1222-12711R2

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(Breaking) Intergenerational Transmission of Mental Health
Aline Bütikofer, Rita Ginja, Krzysztof Karbownik, Fanny Landaud
Journal of Human Resources Apr 2024, 59 (S) S108-S151; DOI: 10.3368/jhr.1222-12711R2
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    • I. Introduction
    • II. Data
    • III. Econometric Models of Intergenerational Persistence
    • IV. Intergenerational Persistence in Health
    • V. Targeted Policies and Intergenerational Persistence
    • VI. Conclusions
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Keywords

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