WorldCat Identities

Oster, Emily

Works: 33 works in 164 publications in 1 language and 1,932 library holdings
Genres: Popular works 
Roles: Author
Publication Timeline
Most widely held works by Emily Oster
Expecting better : why the conventional wisdom is wrong-- and what you really need to know by Emily Oster( Book )

14 editions published between 2013 and 2018 in English and held by 690 WorldCat member libraries worldwide

Pregnancy--unquestionably one of the most profound, meaningful experiences of adulthood--can reduce otherwise intelligent women to, well, babies. Pregnant women are told to avoid cold cuts, sushi, alcohol, and coffee without ever being told why these are forbidden. Rules for prenatal testing are similarly unexplained. Moms-to-be desperately want a resource that empowers them to make their own right choices. When award-winning economist Emily Oster was a mom-to-be herself, she evaluated the data behind the accepted rules of pregnancy, and discovered that most are often misguided and some are just flat-out wrong. Debunking myths and explaining everything from the real effects of caffeine to the surprising dangers of gardening, Expecting Bettering is the book for every pregnant woman who wants to enjoy a healthy and relaxed pregnancy--and the occasional glass of wine.--Publisher's description
Expecting better : how to fight the pregnancy establishment with facts by Emily Oster( Book )

4 editions published in 2013 in English and held by 159 WorldCat member libraries worldwide

Challenges popular misconceptions about pregnancy to counsel women on how to navigate contradictory and extreme abstinence-style advice to promote empowerment, reduce risks, and enable practical choices
Expecting better : why the conventional pregnancy wisdom is wrong-- and what you really need to know by Emily Oster( Recording )

12 editions published between 2013 and 2014 in English and held by 127 WorldCat member libraries worldwide

Pregnancy is full of rules. Pregnant women are often treated as if they were children, given long lists of items to avoid--alcohol, caffeine, sushi--without any real explanation from their doctors about why. They hear frightening and contradictory myths from friends and pregnancy books about everything from weight gain to sleeping on your back to bed rest. Economist Emily Oster believes there is a better way. In Expecting Better, she shows that the information given to pregnant women is sometimes wrong and almost always oversimplified, and she debunks a host of standard recommendations on everything from drinking to fetal testing
Why the conventional pregnancy wisdom is wrong and what you really need to know by Emily Oster( Book )

1 edition published in 2013 in English and held by 26 WorldCat member libraries worldwide

Meet today's woman. She is capable, opinionated, informed. On any given day, you might find her graduating from university or running a major company. But there's a good chance that at some point in her life this same amazing woman will be terrified by a cup of coffee, baffled by a tuna sandwich and exhausted from sleeping in contorted positions. Pregnancy - unquestionably one of the most profound, meaningful experiences of adulthood - reduces otherwise intelligent, successful women to patients who are treated like they themselve
Unobservable selection and coefficient stability : theory and validation by Emily Oster( Book )

5 editions published in 2013 in English and held by 9 WorldCat member libraries worldwide

A common heuristic for evaluating the problem of omitted variable bias in economics is to look at coeffcient movements after inclusion of controls. The theory under which this is informative is one in which the selection on observables is proportional to selection on unobservables, an idea which is formalized in Altonji, Elder and Taber (2005). However, this connection is rarely made explicit and the underlying assumption is rarely tested. In this paper I first show how, under proportional selection, coeffcient movements, along with movements in R-squared values, can be used to calculate a measure of omitted variable bias. I then undertake two validation exercises. First, I relate maternal behavior on child birth weight and IQ. Simple controlled regressions give misleading estimates; estimates adjusted with a proportional selection adjustment fit significantly better. Second, I match observational and randomized trial data for 29 relationships in public health. I show that on average bias-adjusted coeffcients perform much better than simple controlled coeffcients and I suggest that a simple form of this adjustment could dramatically improve inference in many public health contexts
Why is infant mortality higher in the US than in Europe? by Alice Chen( Book )

6 editions published in 2014 in English and held by 8 WorldCat member libraries worldwide

The US has a substantial - and poorly understood - infant mortality disadvantage relative to peer countries. We combine comprehensive micro-data on births and infant deaths in the US from 2000 to 2005 with comparable data from Austria and Finland to investigate this disadvantage. Differential reporting of births near the threshold of viability can explain up to 40% of the US infant mortality disadvantage. Worse conditions at birth account for 75% of the remaining gap relative to Finland, but only 30% relative to Austria. Most striking, the US has similar neonatal mortality but a substantial disadvantage in postneonatal mortality. This postneonatal mortality disadvantage is driven almost exclusively by excess inequality in the US: infants born to white, college-educated, married US mothers have similar mortality to advantaged women in Europe. Our results suggest that high mortality in less advantaged groups in the postneonatal period is an important contributor to the US infant mortality disadvantage
Diabetes and diet : behavioral response and the value of health by Emily Oster( Book )

5 editions published in 2015 in English and held by 5 WorldCat member libraries worldwide

Individuals with obesity often appear reluctant to undertake dietary changes. Evaluating the reasons for this reluctance, as well as appropriate policy responses, is hampered by a lack of data on behavioral response to dietary advice. I use household scanner data to estimate food purchase response to a diagnosis of diabetes, a common complication of obesity. I infer diabetes diagnosis within the scanner data from purchases of glucose testing products. Households engage in statistically significant but small calorie reductions following diagnosis. The changes are sufficient to lose 4 to 8 pounds in the first year, but are only about 10% of what would be suggested by a doctor. The scanner data allows detailed analysis of changes by food type. In the first month after diagnosis, healthy foods increase and unhealthy foods decrease. However, only the decreases in unhealthy food persist. Changes are most pronounced on large, unhealthy, food categories. Those individuals whose pre-diagnosis diet is concentrated in one or a few foods groups show bigger subsequent calorie reductions, with these reductions occurring primarily occurring in these largest food groups. I suggest the facts may be consistent with a psychological framework in which rule-based behavior change is more successful. I compare the results to a policy of taxes or subsidies
Does Disease Cause Vaccination? Disease Outbreaks and Vaccination Response by Emily Oster( Book )

6 editions published in 2016 in English and held by 3 WorldCat member libraries worldwide

Childhood vaccinations are an important input to disease prevention, but vaccination rates have declined over the last decade due largely to parental fears about vaccine dangers. Education campaigns on the safety of vaccines seem to have little impact. Anecdotal evidence on disease outbreaks suggests that they may prompt vaccination behavior. I use newly compiled data on vaccinations and outbreaks to estimate whether vaccinations respond to disease outbreaks. I find that the pertussis vaccination rate increases among children at school entry following an outbreak in the year prior. A large outbreak in the county can decrease the share of unvaccinated children by 28% (1.2 percentage points). These responses do not reflect true changes in the future disease risk. I argue these facts may be explained by a model in which perceived risk of disease is influenced by whether a household is aware of any cases of disease. This suggests better "promotion" of outbreaks could enhance the response. I use survey data from health departments to show that states which directly coordinate outbreak responses have substantially larger vaccination increases in the wake of an outbreak, suggesting centralized management may better take advantage of this opportunity
Weighting for external validity by Isaiah Smith Andrews( )

3 editions published in 2017 in English and held by 0 WorldCat member libraries worldwide

External validity is a fundamental challenge in treatment effect estimation. Even when researchers credibly identify average treatment effects - for example through randomized experiments - the results may not extrapolate to the population of interest for a given policy question. If the population and sample differ only in the distribution of observed variables this problem has a well-known solution: reweight the sample to match the population. In many cases, however, the population and sample differ along dimensions unobserved by the researcher. We provide a tractable framework for thinking about external validity in such cases. Our approach relies on the fact that when the sample is drawn from the same support as the population of interest there exist weights which, if known, would allow us to reweight the sample to match the population. These weights are larger in a stochastic sense when the sample is more selected, and their correlation with a given variable reflects the intensity of selection along this dimension. We suggest natural benchmarks for assessing external validity, discuss implementation, and apply our results to data from several recent experiments
Audience Level
Audience Level
  Kids General Special  
Audience level: 0.33 (from 0.24 for Expecting ... to 0.78 for Why the co ...)

Alternative Names
Emily Oster American economist

Emily Oster Amerikaans econome

Emily Oster economista estadounidense

Emily Oster économiste américaine

Fair Oster, Emily

Oster, Emily F., 1980-

Oster, Emily Fair

Остер Эмили американский экономист

ਏਮਿਲੀ ਓਸਟਰ

오스터, 에밀리


English (56)