It Takes a Village: The Economics of Parenting with Neighborhood and Peer Effects

This paper identifies the effect of neighborhood peer groups on childhood skill acquisition using observational data. We incorporate spatial peer interaction, defined as a child's nearest geographical neighbors, into a production function of child cognitive development in Andhra Pradesh, India. Our peer group definition takes the form of networks, whose structure allows us to identify endogenous peer effects and contextual effects separately. We exploit variation over time to avoid confounding correlated with social effects. Our results suggest that spatial peer and neighborhood effects are strongly positively associated with a child's cognitive skill formation. Further, we explore the effect of peer groups in helping to provide insurance against the negative impact of idiosyncratic shocks to child learning. We find that the data reject full risk-sharing, but cannot rule out the existence of partial risk-sharing on behalf of peers. We show that peer effects are robust to different specifications of peer interactions and investigate the sensitivity of our estimates to potential misspecification of the network structure using Monte Carlo experiments. Keywords. Children, peer effects, cognitive skills, India. JEL classification. C21, O15, R23.

Plug-in electric vehicle diffusion in California: Role of exposure to new technology at home and work

This article begins by discussing the various empirical strategies that have been used to identify a causal relationship between peers, neighborhoods, or social contacts and an individual's behaviors or outcomes. It reveals neighborhood effects on individual outcomes, and describes the empirical literature on neighborhood effects starting with the literature on the impact of racial segregation on African Americans, followed by considerations of the effect of neighborhoods on labor market outcomes, and finally the effects on families and children. Furthermore, it deals with the literature on peer effects, focusing primarily on education, including evidence on mechanisms and the role of friendship networks, but also considers other settings, especially the workplace. It emphasizes the quantitative studies of neighborhood and peer effects. Finally, it examines the implications for planning.

Local public good provision: Voting, peer effects, and mobility

Author(s): Chakraborty, Debapriya; Bunch, David S.; Xu, Bingzheng; Brownstone, David; Tal, Gil | Abstract: The market for plug-in electric vehicles (PEVs) that primarily include battery electric vehicles (BEVs) and plug-in hybrid vehicles (PHEVs) has been rapidly growing in California for the past few years. Given the targets for PEV penetration in the state, it is important to have a better understanding of the pattern of technology diffusion and the factors that are driving the process. Using spatial analysis and Poisson count models, the researchers identify the importance of a neighborhood effect (at home locations) and workplace effect (at commute destinations) in supporting the diffusion of PEV technology in California. In the case of new BEV sales, they found that exposure to one additional BEV or PHEV within a 1-mile radius of a block group centroid is associated with a 0.2% increase in BEV sales in the block group. Interestingly, for new PHEV sales, the neighborhood effect of BEV sales is negative, suggesting that enhanced exposure to this type of technology (which is differentiated in distinctive ways from PHEVs) may impact new PHEV sales through a substitution effect. Specifically, higher BEV concentration in an area can have an overall negative effect on new PHEV sales. While the neighborhood effect at residential locations is important, the workplace effect also has a notably important effect on new PEV sales. Both effects work in combination with socioeconomic, demographic, policy, and built environment factors in encouraging PEV adoption. These results suggest that policymakers should consider targeted programs and investments that can boost the impact of neighborhood and peer effects on PEV salesView the NCST Project Webpage

PurposeBoth hedonics and the traditional sales comparison approach are derived from a similar paradigm with respect to how prices, hence market values, are determined. While the hedonic approach can provide reliable estimates of individual attributes' marginal contribution, it may – unlike the sales comparison approach – underestimate the prominent influence that surrounding properties exert on any given nearby housing unit and sale price. This paper seeks to develop a simple method for reconciling the two approaches within a rigorous conceptual and methodological framework.Design/methodology/approachPeer effect models, an analytical device developed, and mainly used, by labour economists, are adapted to the hedonic price equation so as to incorporate nearby properties' influences, thereby controlling for non‐observable neighbourhood effects. In addition to basic, intrinsic, building and land attributes, the ensuing model accounts for three types of effects, namely endogenous interactions effects (i.e. comparable sales influences, or peer effects), exogenous, or neighbourhood, effects and, finally, spatial autocorrelation effects.FindingsPreliminary findings suggest that integrating peer effects in the hedonic equation allows bringing out the combined impacts of endogenous, exogenous and spatially correlated effects in the house price determination process, with spatial autocorrelation of model residuals being significantly reduced, even without resorting to a spatial autoregressive procedure.Research limitations/implicationsFurther investigation is still needed in order to find out which submarket delineation should be used to obtain optimal model performances.Originality/valueThe paper leads to the conclusion that the comparable sales approach, as used in traditional appraisal practice, is valid, although its application is typically flawed by the too small sample size generally used by appraisers. Further investigation is still needed, however, in order to find out which submarket delineation should be used to obtain optimal model performances. This raises the paramount question as to whether the peer effect variable is adequately measured and addresses the tricky issue of kernel determination in spatial statistics and related applications, such as GWR.

We examine the influence of neighborhood peer effects on the decision of women to work using panel data that follows clusters of adjacent homes between 1985-1993. Modeling assumptions imply rank order restrictions that enable us to classify individuals into peer groups while identifying peer effects and underlying mechanisms. For women, peer effects influence labor supply in part because women appear to emulate the work behavior of nearby women with similar age children. For men, peer effects are mostly absent, consistent with inelastic work decisions. Geographically concentrated panel data are crucial for these estimates. Our approach could also be applied to other instances in which neighborhood peer effects are important.

Peer effects in judicial decisions: Evidence from Spanish labour courts

Researchers in marketing, sociology, and economics have been interested in the role of social interactions in consumer choice and consumption behaviors. Social interactions, labeled variously as peer effects, social contagion, and neighborhood effects, have important implications for firms’ allocation of marketing efforts. In this research, we test and provide empirical evidence for peer effects in consumers’ service usage in the context of gym-going behaviors. Using a detailed individual-level membership and attendance data at one of the largest health club chains in the U.S., we document that a focal member’s gym-going behavior is influenced by the behaviors and characteristics of the peers at the same branch.

Peer and neighborhood effects: Citation analysis using a spatial autoregressive model and pseudo-spatial data

As children reach adolescence, peer interactions become increasingly central to their development, whereas the direct influence of parents wanes. Nevertheless, parents may continue to exert leverage by shaping their children's peer groups. We study interactions of parenting style and peer effects in a model where children's skill accumulation depends on both parental inputs and peers, and where parents can affect the peer group by restricting who their children can interact with. We estimate the model and show that it can capture empirical patterns regarding the interaction of peer characteristics, parental behavior, and skill accumulation among US high school students. We use the estimated model for policy simulations. We find that interventions (e.g., busing) that move children to a more favorable neighborhood have large effects but lose impact when they are scaled up because parents' equilibrium responses push against successful integration with the new peer group.

As children reach adolescence, peer interactions become increasingly central to their development, whereas the direct influence of parents wanes. Nevertheless, parents may continue to exert leverage by shaping their children's peer groups. We study interactions of parenting style and peer effects in a model where children's skill accumulation depends on both parental inputs and peers, and where parents can affect the peer group by restricting who their children can interact with. We estimate the model and show that it can capture empirical patterns regarding the interaction of peer characteristics, parental behavior, and skill accumulation among US high school students. We use the estimated model for policy simulations. We find that interventions (e.g., busing) that move children to a more favorable neighborhood have large effects but lose impact when they are scaled up because parents' equilibrium responses push against successful integration with the new peer group.

As children reach adolescence, peer interactions become increasingly central to their development, whereas the direct influence of parents wanes. Nevertheless, parents may continue to exert leverage by shaping their children's peer groups. We study interactions of parenting style and peer effects in a model where children's skill accumulation depends on both parental inputs and peers, and where parents can affect the peer group by restricting who their children can interact with. We estimate the model and show that it can capture empirical patterns regarding the interaction of peer characteristics, parental behavior, and skill accumulation among US high school students. We use the estimated model for policy simulations. We find that interventions (e.g., busing) that move children to a more favorable neighborhood have large effects but lose impact when they are scaled up because parents' equilibrium responses push against successful integration with the new peer group.

Human capital tends to have significant external effects within local markets, increasing the average income of individuals within the same metropolitan area. However, evidence on both human capital spillovers and peer effects in neighborhoods suggests that these effects may be confined to relatively small areas. Hence, the distribution of income gains from average levels of human capital should depend on how that human capital is distributed throughout a city. This paper explores this issue by documenting the extent to which college graduates are residentially segregated across more than 165000 block groups in 359 U.S. metropolitan areas over the period 1980-2000. Using three different metrics, we find that the segregation of college graduates rose between 1980 and 2000. We also find that cities which experienced larger increases in their levels of segregation also experienced larger increases in income inequality, although our results suggest that inequality and segregation likely influence each other.

Human capital tends to have significant external effects within local markets, increasing the average income of individuals within the same metropolitan area. However, evidence on both human capital spillovers and peer effects in neighborhoods suggests that these effects may be confined to relatively small areas. Hence, the distribution of income gains from average levels of human capital should depend on how that human capital is distributed throughout a city. This paper explores this issue by documenting the extent to which college graduates are residentially segregated across more than 165000 block groups in 359 U.S. metropolitan areas over the period 1980-2000. Using three different metrics, we find that the segregation of college graduates rose between 1980 and 2000. We also find that cities which experienced larger increases in their levels of segregation also experienced larger increases in income inequality, although our results suggest that inequality and segregation likely influence each other.