Search Results

Author: Hu, Qing
Resulting in 2 citations.
1. Hu, Qing
Levine, Ross
Lin, Chen
Tai, Mingzhu
Finance and Children's Academic Performance
NBER Working Paper No. 26678, National Bureau of Economic Research, January 2020.
Also: https://www.nber.org/papers/w26678
Cohort(s): Children of the NLSY79, NLSY79
Publisher: National Bureau of Economic Research (NBER)
Keyword(s): Children, Academic Development; Family Income; Family Influences; Human Capital; Legislation; Maternal Employment; Parent Supervision/Monitoring; Parent-Child Interaction; Peabody Individual Achievement Test (PIAT- Math); Peabody Individual Achievement Test (PIAT- Reading); Work Hours/Schedule

What is the impact of regulatory reforms that enhance credit market efficiency on children's human capital? Using a parent-child panel dataset, we find that such reforms reduced children's academic performance in low-income families. Consistent with the view that financial development entices low-income parents to substitute out of childrearing and into employment with adverse effects on children’s education, we find that among low-income families, regulatory reforms: increased mother's employment hours, reduced parental supervision and parent-child discussions about school and college, and had bigger adverse effects when mothers were not already working full-time and grandparents were not living with the child.
Bibliography Citation
Hu, Qing, Ross Levine, Chen Lin and Mingzhu Tai. "Finance and Children's Academic Performance." NBER Working Paper No. 26678, National Bureau of Economic Research, January 2020.
2. Hu, Qing
Levine, Ross
Lin, Chen
Tai, Mingzhu
Mentally Spent: Credit Conditions and Mental Health
NBER Working Paper No. 25584, National Bureau of Economic Research, February 2019.
Also: https://www.nber.org/papers/w25584
Cohort(s): NLSY79
Publisher: National Bureau of Economic Research (NBER)
Keyword(s): Credit/Credit Constraint; Debt/Borrowing; Depression (see also CESD); Geocoded Data; Health, Mental/Psychological; State-Level Data/Policy

In light of the human suffering and economic costs associated with mental illness, we provide the first assessment of whether local credit conditions shape the incidence of mental depression. Using several empirical strategies, we discover that bank regulatory reforms that improved local credit conditions reduced mental depression among low-income households and the impact was largest in counties dominated by bank-dependent firms. On the mechanisms, we find that the regulatory reforms boosted employment, income, and mental health among low-income individuals in bank-dependent counties, but the regulatory reforms did not increase borrowing by these individuals.
Bibliography Citation
Hu, Qing, Ross Levine, Chen Lin and Mingzhu Tai. "Mentally Spent: Credit Conditions and Mental Health." NBER Working Paper No. 25584, National Bureau of Economic Research, February 2019.