The Economics of Parenting, with Emily Oster

Episode Summary

Executive Summary: Samaya Keynes interviews economist Emily Oster about using data to navigate pregnancy and parenting. Oster argues that evidence quality varies widely, many recommendations rest on weak correlation-based studies, and parents need clearer distinctions between “absence of evidence” and “evidence of safety.” She discusses pregnancy, complications, early childhood, school-age parenting, phone use, and the need for better-funded research.

Main Topics: Why an economist studies parenting: Oster explains her role as a health economist is to evaluate data quality, separate correlation from causation, and help parents make decisions aligned with their preferences and doctors' advice. The limits of data for deciding whether to have children: She frames having a child as a 'wild problem' not well suited to cost-benefit analysis because the joys and burdens are hard to quantify, even though happiness patterns can be measured. Pregnancy myths and weak evidence: Oster challenges simplistic fertility age cutoffs and pregnancy rules, arguing that many common beliefs arise from arbitrary data binning or low-quality observational evidence. Complications in pregnancy and managing anxiety: Discussing her new book, she says complication-focused information is best for people who already face a problem, not for those seeking preemptive reassurance, because salience can increase anxiety. Parenting after birth: trade-offs and evidence-based habits: She emphasizes that many parenting choices involve trade-offs, but some recommendations are clearer, such as early allergen introduction and safe sleep practices. School-age children, phones, and family decision-making: Oster argues older children need more sleep, phone use should be actively managed by parents, and phones should be banned in schools. Improving the evidence base through funding: She says better research will mostly require money, especially government or foundation funding, because many important parenting and maternal-health questions lack commercial sponsors.

Key Arguments: Economists add value in parenting because they can assess data quality, identify bias, and explain what evidence can and cannot support. A published academic paper or official recommendation is not automatically high-quality evidence; many studies suffer from confounding and correlation/causation problems. Choosing whether to have a child is not well answered by data, because the emotional and life-value dimensions are too difficult to measure. Fertility declines gradually with age rather than dropping off a cliff at 35; the cutoff is largely an artifact of how data are grouped. Bed rest for pregnancy complications is commonly prescribed but lacks evidence of benefit and likely reflects misread counterfactuals. Occasional light alcohol use in pregnancy has far more evidence behind it than marijuana use; evidence for marijuana remains much weaker and more confounded. Parents should distinguish between lack of strong evidence and genuine reassurance; certainty of absolute safety is never possible, but the weight of evidence matters. Complication-focused pregnancy information can reduce anxiety for affected patients, but reading it preemptively may raise anxiety unnecessarily. Many parenting choices after birth involve balancing small costs and benefits rather than following one universally correct rule. Early allergen introduction is one area where Oster is confident the evidence supports action to reduce allergy risk. Sleep is a major determinant of child functioning and is often sacrificed because families overcommit to activities. Phones should be banned in schools, and parents should tightly manage children’s phone access, apps, and overnight phone storage. Better data on parenting and child health will likely come from noncommercial funding sources such as governments and foundations.

Data Points: Pregnancy complications prevalence: about 50% of pregnancies - Oster says complications are individually rare but globally common. Prescribed bed rest for pregnancy complications: about 20% of cases - She says it is still commonly prescribed despite lacking support in the data. Fertility age pattern: highest at 16–17; declines gradually; no sharp change at 35 - Used to rebut the idea of a fertility cliff. Breastfeeding/sex survey modal frequency: once or twice a month - Reported from a Parent Data survey about sex among parents. School-age sleep example: an 11-year-old getting home at 10 p.m. - Illustrates how overscheduling can cut into sleep needs. Phone age recommendation: 12–13 years old - Oster suggests this may be a realistic minimum age in the current environment.

Pivotal Quotes: "correlation is not. Causation." — Emily Oster: Explaining the main methodological problem with parenting research. "it's actually very difficult to use either data or our like ledger of positives, negatives, whatever decision tool you want to think about the question of whether to have a kid" — Emily Oster: Describing why deciding to have children is a 'wild problem'. "I see no evidence, and I've spent a lot of time both looking at the evidence and talking to people about this. I see simply no reason that kids should need to have phones in schools." — Emily Oster: Her argument for banning phones in schools.

Implications: Listeners should treat parenting advice as evidence-weighted, not authority-based. Better choices come from understanding trade-offs, questioning low-quality studies, and demanding better-funded research on pregnancy and child development.