Who Goes to College? Differential Enrollment by Race and Family Background

While trends in college enrollment for blacks and whites have been the subject of study for a number of years, little attention has been paid to the variation in college enrollment by socioeconomic status (SES). It is well documented that, controlling for family background, blacks are more likely to enroll in college than whites. This relationship is somewhat deceptive, however. Upon closer examination, we find that blacks are more likely to enroll in college than their white counterparts only among low-SES individuals. Among high SES individuals, this pattern is reversed. We also find that this relationship is strongest in the 1970s and appears to disappear over time; by the 1990s, blacks are no more likely to attend college than whites at any end of the SES distribution. This paper first documents this phenomenon and then attempts to understand what is driving these differences across the distribution of family background characteristics and why the relationship is changing over time. Although they have a significant impact on college enrollment behavior, tuition costs and local labor markets explain very little of racial differences in college entry. We do uncover different responses to tuition and labor markets by individuals from different ends of the SES distribution, an important consideration for policies targeted at improving college enrollment for low-SES individuals.

Recent Developments in Intergenerational Mobility

Economists and social scientists have long been interested in intergenerational mobility, and documenting the persistence between parents and children's outcomes has been an active area of research. However, since Gary Solon's 1999 Chapter in the Handbook of Labor Economics, the literature has taken an interesting turn. In addition to focusing on obtaining precise estimates of correlations and elasticities, the literature has placed increased emphasis on the causal mechanisms that underlie this relationship. This chapter describes the developments in the intergenerational transmission literature since the 1999 Handbook Chapter. While there have been some important contributions in terms of measurement of elasticities and correlations, we will focus primarily on advances in our understanding of the forces driving the relationship and less on the precision of the correlations themselves.income transmission, income mobility, education, intergenerational transmission

Measuring the value of better schools

Several researchers have attempted to measure the value of educational quality by examining its impact on wages earned by students later in life. Adopting an alternative approach, the author of this study calculates what people are willing to pay to reside in a community with superior schools. Controlling for neighborhood characteristics and school financial inputs, she finds that a 5 percent increase in the average test scores of an elementary school leads to a 2.1 percent increase in the price of houses in that school's attendance district.Education

Beyond the Incidence of Training: Evidence from a National Employers Survey

This paper seeks to provide new insight into how school and post school training investments are linked to employer workplace practices and outcomes using a unique nationally representative survey of establishments in the U.S., the Educational Quality of the Workforce National Employers Survey (EQW-NES). We go beyond simply measuring the incidence of formal or informal training to examine the determinants of the types employers invest in, the relationship between formal school and employer provided training, who is receiving training, the links between investments in physical and human capital, and the impact that human capital investments have on the productivity of establishments. We find that the smallest employers are much less likely to provide formal training programs than employers from larger establishments. Regardless of size, those employers who have adapted some of the practices associated with what have been called `high performance work systems' are more likely to have formal training programs. Employers who have made large investments in physical capital or who have hired workers with higher average education are also more likely to invest in formal training and to train a higher proportion of their workers, especially in the manufacturing sector. There are significant and positive effects on establishment productivity associated with investments in human capital. Those employers who hire better educated workers have appreciably higher productivity. The impact of employer provided training differs according to the nature, timing and location of the employer investments.

Under Pressure? The Effect of Peers on Outcomes of Young Adults

A variety of public campaigns, including the "Just Say No" campaign of the 1980s and 1990s that encouraged teenagers to "Just Say No to Drugs", are based on the premise that teenagers are very susceptible to peer influences. Despite this, very little is known about the effect of school peers on the long-run outcomes of teenagers. This is primarily due to two factors: the absence of information on peers merged with long-run outcomes of individuals and, equally important, the difficulty of separately identifying the role of peers. This paper uses data on the population of Norway and idiosyncratic variation in cohort composition within schools to examine the role of peer composition in 9th grade on longer-run outcomes such as IQ scores at age 18, teenage childbearing, post-compulsory schooling educational track, adult labor market status, and earnings. We find that outcomes are influenced by the proportion of females in the grade, and these effects differ for men and women. Other peer variables (average age, average mother's education) have little impact on the outcomes of teenagers.education, peer effects

From the Cradle to the Labor Market? The Effect of Birth Weight on Adult Outcomes

Lower birth weight babies have worse outcomes, both short-run in terms of one-year mortality rates and longer run in terms of educational attainment and earnings. However, recent research has called into question whether birth weight itself is important or whether it simply reflects other hard-to-measure characteristics. By applying within twin techniques using a unique dataset from Norway, we examine both short-run and long-run outcomes for the same cohorts. We find that birth weight does matter; very small short-run fixed effect estimates can be misleading because longer-run effects on outcomes such as height, IQ, earnings, and education are significant and similar in magnitude to OLS estimates. Our estimates suggest that eliminating birth weight differences between socio-economic groups would have sizeable effects on the later outcomes of children from poorer families.

The More the Merrier? The Effect of Family Composition on Children's Education

Among the perceived inputs in the production' of child quality is family size; there is an extensive theoretical literature that postulates a tradeoff between child quantity and quality within a family. However, there is little causal evidence that speaks to this theory. Our analysis is able to overcome many limitations of the previous literature by using a rich dataset that contains information on the entire population of Norway over an extended period of time and allows us to match adult children to their parents and siblings. In addition, we use exogenous variation in family size induced by the birth of twins to isolate causation. Like most previous studies, we find a negative correlation between family size and children's educational attainment. However, when we include indicators for birth order, the effect of family size becomes negligible. This finding is robust to the use of twin births as an instrument for family size. In addition, we find that birth order has a significant and large effect on children's education; children born later in the family obtain less education. These findings suggest the need to revisit economic models of fertility and child production', focusing not only on differences across families but differences within families as well.

Older and Wiser? Birth Order and IQ of Young Men

While recent research finds strong evidence that birth order affects children's outcomes such as education and earnings, the evidence on the effects of birth order on IQ is decidedly mixed. This paper uses a large dataset on the population of Norway that allows us to precisely measure birth order effects on IQ using both cross-sectional and within-family methods. Importantly, irrespective of method, we find a strong and significant effect of birth order on IQ, and our results suggest that earlier born children have higher IQs. Our preferred estimates suggest differences between first-borns and second-borns of about one fifth of a standard deviation or approximately 3 IQ points. Despite these large average effects, birth order only explains about 3% of the within-family variance of IQ. When we control for birth endowments, the estimated birth order effects increase. Thus, our analysis suggests that birth order effects are not biologically determined. Also, there is no evidence that birth order effects occur because later-born children are more affected by family breakdown.

Under Pressure? The Effect of Peers on Outcomes of Young Adults

A variety of public campaigns, including the “Just Say No” campaign of the 1980s and 1990s that encouraged teenagers to “Just Say No to Drugs”, are based on the premise that teenagers are very susceptible to peer influences. Despite this, very little is known about the effect of school peers on the long-run outcomes of teenagers. This is primarily due to two factors: the absence of information on peers merged with long-run outcomes of individuals and, equally important, the difficulty of separately identifying the role of peers. This paper uses data on the population of Norway and idiosyncratic variation in cohort composition within schools to examine the role of peer composition in 9th grade on longer-run outcomes such as IQ scores at age 18, teenage childbearing, postcompulsory schooling educational track, adult labor market status, and earnings. We find that outcomes are influenced by the proportion of females in the grade, and these effects differ for men and women. Other peer variables (average age, average mother’s education) have little impact on the outcomes of teenagers.

Under Pressure? The Effect of Peers on Outcomes of Young Adults

A variety of public campaigns, including the “Just Say No” campaign of the 1980s and 1990s that encouraged teenagers to “Just Say No to Drugs”, are based on the premise that teenagers are very susceptible to peer influences. Despite this, very little is known about the effect of school peers on the long-run outcomes of teenagers. This is primarily due to two factors: the absence of information on peers merged with long-run outcomes of individuals and, equally important, the difficulty of separately identifying the role of peers. This paper uses data on the population of Norway and idiosyncratic variation in cohort composition within schools to examine the role of peer composition in 9th grade on longer-run outcomes such as IQ scores at age 18, teenage childbearing, postcompulsory schooling educational track, adult labor market status, and earnings. We find that outcomes are influenced by the proportion of females in the grade, and these effects differ for men and women. Other peer variables (average age, average mother’s education) have little impact on the outcomes of teenagers.Peer Effects, Education