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Emily Oster

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Professor of Economics and International and Public Affairs Brown University

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Imagine making parenting choices not just based on instinct and through the lived experiences of others, but instead using data-driven techniques garnered through a career in data and economics.  Emily Fair Oster is a Professor of Economics and International and Public Affairs at Brown University. Her work is unique, blending economics, health, and research in new ways. In her books "Expecting Better," "The Family Firm," and "Cribsheet," she's shown how data can help guide us through pregnancy and parenting. In the episode, Emily shows how she used her knowledge of data and economics when she was pregnant, and how this way of thinking can change how we make decisions. We look at the tension between what we feel and what the data tells us when we're making parenting choices, and why many of us lean on personal experiences. Emily tells us why it's important to use quality data when making decisions and how to make sense of all the information out there. Emily talks about the ins and outs of using data to make parenting decisions, discussing the big milestones in a child's life, the role of sleep, and how these can impact a person's future as well as the nuance in applying data-driven decision-making to your parenting.  Emily also touches on how having two working parents and traditional gender roles can shape how we parent. Finally, Emily gives some helpful tips on finding and understanding good-quality data. This will help you make better decisions as a parent. Tune in for a thought-provoking look at parenting, data, and economics.

podcast_episode
with Val Kroll , Julie Hoyer , Tim Wilson (Analytics Power Hour - Columbus (OH) , Emily Oster (Brown University) , Moe Kiss (Canva) , Michael Helbling (Search Discovery)

Did you hear the one about the Harvard-educated economist who embraced her inner wiring as a lateral thinker to explore topics ranging from HIV/AIDS in Africa to the impact of Hepatitis B on male-biased sex ratios in China to the range of advice and dicta doled out by doctors and parents and in-laws and friends about what to do (and not do!) during pregnancy? It's a data-driven tale if ever there was one! Emily Oster, economics professor at Brown University and bestselling author of Expecting Better and Cribsheet, joined the show to chat about what happens when the evidence (the data!) doesn't match conventional wisdom, and strategies for presenting and discussing topics where that's the case. Plus causal inference! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. 

This episode originally aired on October 22, 2019.

podcast_episode
with Val Kroll , Julie Hoyer , Tim Wilson (Analytics Power Hour - Columbus (OH) , Emily Oster (Brown University) , Moe Kiss (Canva) , Michael Helbling (Search Discovery)

Did you hear the one about the Harvard-educated economist who embraced her inner wiring as a lateral thinker to explore topics ranging from HIV/AIDS in Africa to the impact of Hepatitis B on male-biased sex ratios in China to the range of advice and dicta doled out by doctors and parents and in-laws and friends about what to do (and not do!) during pregnancy? It's a data-driven tale if ever there was one! Emily Oster, economics professor at Brown University and bestselling author of Expecting Better and Cribsheet, joined the show to chat about what happens when the evidence (the data!) doesn't match conventional wisdom, and strategies for presenting and discussing topics where that's the case. Plus causal inference! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.