This dissertation includes three essays that examine the potential of policies, interventions, and curricula in improving transitions to four-year colleges and universities in the U.S. The first essay provides a novel investigation of New York City’s adoption of SAT School Day (SSD), which provides universal access to college entrance exams for high school juniors. I examine the causal impact of the policy on SAT taking and four-year college enrollment patterns for the first three post-policy cohorts. Using a two-way fixed effects differences-in-differences (DID) model, I find that the SSD policy increases SAT-taking rates by 20% but has little impact on four-year enrollment. These findings suggest that increased college entrance test participation alone is not sufficient to increase enrollment to four-year colleges. The second essay provides a systematic review and meta-analysis of 19 studies on the causal impact of late pre-college advising interventions, which I refer to as LPCAIs. LPCAIs aim to connect juniors and seniors with pre-college advisors to guide them through the complex college application process. The studies use experimental and quasi-experimental designs to identify the causal effect of LPCAIs on postsecondary enrollment outcomes for historically underrepresented students. I find that the offer of an LPCAI, on average, increases postsecondary enrollment and improves institutional choices. However, the in-person advising format accounts for nearly all of the positive impact derived from LPCAIs. Several implications of these findings are discussed, particularly in the context of COVID-19. The third chapter presents a correlational study that uses transcript data from a statewide community college system to estimate how well GPA, credit accumulation, and course taking at community college predict upward transfer and baccalaureate completion. While GPAs and credit accumulation rates in all academic branches are strong, positive predictors of transfer, GPAs in humanities are significantly more predictive of transfer compared to GPAs in non-humanities branches. GPAs and successful credit accumulation rates in humanities courses are also associated with greater likelihoods of baccalaureate completion, conditional on transfer. However, humanities courses are equally valid predictors of baccalaureate completion as courses in other academic branches. In contrast to strong academic performance, taking more courses in humanities, although associated with greater likelihoods of vertical transfer, is associated with lower likelihoods of baccalaureate completion. Taken together, these essays contribute to our understanding of approaches to improve transitions to four-year colleges and universities. They also highlight the importance of academic preparation and advising within transitional pathways.

This dissertation includes three papers that examine the role of child care policy in promoting early childhood education and care and parental labor supply. Paper one investigates the effects of universal pre-kindergarten on center-based early education and care enrollment and child care expenditures by household income with a focus on middle-income children. Paper two considers how the generosity of the Child and Dependent Care Tax Credit (CDCTC) benefits is associated with child care utilization and maternal labor supply. Paper three assesses the role of coresident grandparents in parental labor supply during the COVID-19 pandemic.

Introduction: There is growing evidence for increased prevalence of poor adolescent mental health, including depression, in the United States. Increases in adolescent depression beginning around 2008-2010 coincided with the timing of the Great Recession and there are plausible mechanisms through which economic recessions may influence adolescent depression (e.g., caregiver job loss, household economic hardship). More research is needed to understand the potential relationship between the 2007-2009 Great Recession and long-term impacts on mental health by household poverty, as many mechanisms (e.g., cumulative familial stress) can impact adolescent mental health after the peak of a recession passes. The objective of this dissertation is to examine the associations between economic recessions and adolescent depression. This dissertation includes five chapters: first, an introduction; second, a literature review to examine evidence of time trends and birth cohort effects in depressive disorders and symptoms among adolescents in recent years; third, an empirical study to assess changes in adolescent depression and depression treatment, including differences by household poverty occurring at the beginning of the Great Recession; fourth, an empirical study to estimate potential longer-term impacts of the Great Recession by examining whether young adults from birth cohorts who were adolescents at the time of the Great Recession had higher risk of MDE and mental health treatment use as young adults compared with birth cohorts who were adolescents and surveyed prior to the Great Recession with potential differences by household poverty; and fifth, a conclusion to summarize results and discuss implications for future research. Methods: The integrative systematic literature review included 10 studies related to the United States, adolescent populations, birth year and time trends, and depressive symptoms or disorders. The two empirical aims utilized data from the National Survey on Drug Use and Health (NSDUH), a national survey assessing behavioral health among participants aged 12 and older. For the first empirical aim, I analyzed data for adolescents ages 12-17 participating in the 2004-2019 NSDUH (N = 256,572). For the second empirical aim, I included young adults ages 18-29 from the 2005-2019 NSDUH (N = 135,158). For this aim, the main exposure measure was belonging to birth cohorts (1990-1994) who were adolescents during the Great Recession and surveyed in 2008-2019 versus those from birth cohorts (1976-1989) that did not experience the Great Recession and were surveyed prior to the Great Recession in 2005-2007. For both empirical aims, I measured past year DSM-IV and DSM-5 major depressive episodes (MDE) from self-reported symptoms. MDE treatment was assessed among those with past year MDE, excluding those who were already successfully treated for MDE. For the first empirical aim, I tested how MDE and MDE treatment conditioned on MDE changed from pre-Great Recession (2004 to Fall 2007) to post-Great Recession (Winter 2007 to 2019) using interrupted time-series (ITS) segmented regression models accounting for seasonality (January-March, April-June, July-September, October-December) and autocorrelation. For the second empirical aim, regression models assessed the relationships between the birth cohort exposure measure and MDE and mental health treatment utilization adjusting for age, gender, race/ethnicity, educational attainment, and insurance status. Both empirical aims tested effect modification by household poverty. Results: The review of 10 studies found increases in depressive symptoms and disorders in adolescents across recent survey years with increases observed between 1991 and 2020. Of the 3 articles that assessed birth cohort trends, birth cohort trends were less prominent than time period trends. Proposed explanations for increases included social media, economic-related reasons, changes in mental health screening and diagnosis, changes to mental health stigma and treatment and, in more recent years, the COVID-19 pandemic. In the first empirical study, I illustrated that the Great Recession was not associated with an immediate change in MDE prevalence (β: -0.77, 95% CI: -2.23, 0.69). However, following the Great Recession, the increase in MDE prevalence accelerated (β: 0.29, 95% CI: 0.13, 0.44). The Great Recession was not associated with acute changes in adolescent MDE treatment (β: -2.87, 95% CI: -7.79, 2.04) nor longer-term slope effects (β: 0.03, 95% CI: -0.46, 0.51). Evidence of interaction by household poverty was not observed for either the MDE or MDE treatment outcome. In the second empirical aim, interaction between the birth cohort exposure and household poverty was observed for MDE (F=10.17, df=2, p=<0.0001), but not for mental health treatment use. Great Recession exposure effects were stronger among those at higher levels of household income. For example, among young adults who were living in households at two times the poverty threshold, those from birth cohorts who were exposed during adolescence to the Great Recession had higher odds of MDE compared with young adults from birth cohorts who were unexposed during adolescence to the Great Recession (adjusted odds ratio= 1.16, 95% CI= 1.04, 1.29). Conclusions: Multiple cross-sectional surveys and cohort studies documented rising prevalence of depressive symptoms and disorder among adolescents from 1991-2020. The Great Recession coincided with accelerated trends of increasing MDE, but not MDE treatment of these adolescents. Contrary to my hypothesis, the strength of changes in the rate of increase in MDE did not differ by household poverty and adolescents from households living in poverty, who likely experienced a greater financial burden during the recession, did not experience an increase in the rate of MDE. Birth cohort effects by household poverty were observed and exposure to the Great Recession during adolescence was associated with long-term effects on MDE, but not mental health treatment utilization, during young adulthood compared with those not exposed to the Great Recession. Young adults from higher income households who were exposed to the Great Recession had heightened likelihood of MDE. Future research should explore alternative drivers of MDE during the 2010s, as poverty-specific cohort analyses did not show that those living in poverty who likely experienced the greatest burden of a recession financially had increased risk of MDE.

This dissertation consists of three essays in the field of health economics. The first essay provides the first causal evidence that bargaining power in a relationship shapes pregnancy outcomes and health disparities in the US. A key driver of bargaining power is the availability of potential non incarcerated male partners in the local dating market, which I define at the race by cohort by county level. Because these sex ratios are endogenous, I use a novel instrument that leverages the randomness in sex at birth and the persistence of local demographics to isolate exogenous variation in the relative availability of men. Greater female bargaining power causes better outcomes: fewer out-of-wedlock births, less chlamydia and hypertension among mothers, and fewer infants with APGAR score below the normal level. The marriage market makes a significant contribution to racial disparities in pregnancy health. Specifically, Black women face relatively poor prospects when looking for a partner compared to White women: while there are 102 White men per 100 White women, only 89 Black men are available per 100 Black women. According to my estimates, Black women’s disadvantage accounts for 5-10% of the large racial gap in maternal and neonatal health. The racial difference in male availability is mostly policy-driven, as incarceration accounts for 45% of the gap. A counterfactual policy equalizing county-level incarceration rates for non-violent offenses between Black and White people would prevent 200-700 adverse pregnancy outcomes per year among Black mothers through the bargaining power channel alone. The second essay investigates how reopening hotels and ski facilities in Poland impacted tourism spending, mobility, and COVID-19 outcomes. We used administrative data from a government program that subsidizes travel to show that the policy increased the consumption of tourism services in ski resorts. By leveraging geolocation data from Facebook, we showed that ski resorts experienced a significant influx of tourists, increasing the number of local users by up to 50%. Furthermore, we confirmed an increase in the probability of meetings between pairs of users from distanced locations and users from tourist and non-tourist areas. As the policy impacted travel and gatherings, we then analyzed its effect on the diffusion of COVID-19. We found that counties with ski facilities experienced more infections after the reopening. Moreover, counties strongly connected to the ski resorts during the reopening had more subsequent cases than weakly connected counties. The third essay studies the diffusion of influenza-like illnesses (ILI) through social and economic networks. Using almost two decades of weekly, county-level infection and mortality data from Poland, it studies within and across-counties ILI transmission. Firstly, it evaluates the causal effect of school closures on viral transmission. The results show that closing schools for two weeks decreases the number of within county cases by 30-40%. The decline in infections extends to elderly and pre-school children. In addition, flu-related hospitalizations drop by 7.5%, and mortality related to respiratory diseases among the elderly drops by 3%. Secondly, the paper demonstrates the significant contribution of economic links to diffusion across counties. The disease follows the paths of workers commuting between home and workplace. Together with the structure of the labor mobility networks, these results highlight the central role of regional capitals in sustaining and spreading the virus.

This dissertation consists of three essays in public economics. The three chapters focus on interactions between public and private economic decisions. The first two chapters focus on unemployment insurance (UI) policy in the United States. The third discusses public-private interactions in the education market. The first chapter, a joint work with Arindrajit Dube, Calvin Jahnke, Raymond Kluender, Suresh Naidu, and Michael Stepner estimates the labor supply and spending responses to a large change in UI benefits during the pandemic. We examine the effects of the sudden withdrawal of expanded pandemic unemployment benefits in June 2021 using anonymized bank transaction data for 16,548 individuals receiving UI in April 2021. Comparing the difference in differences between states withdrawing and retaining expanded UI, we find that UI receipt falls 35 p.p. while employment rises by only 4.4 p.p. by early August. Average cumulative UI benefits fall by $1,385 while average cumulative earnings increase by only $93. Heterogeneity by unemployment duration implies that these effects are primarily driven by extensive margin expiration of benefits, rather than intensive margin reductions in the benefit level. The second chapter examines the role of gifts and loans from friends and family during unemployment. These transfers play a largely unstudied informal insurance role in high-income countries, making it difficult to assess their implications for social insurance policy. I present new results on informal insurance paid via person-to-person (P2P) payment platforms using a survey-linked administrative bank transaction dataset covering 130,502 low-income users from the US who were unemployed at least once between July 2019 and September 2020. Event study estimates show average monthly inflows from all P2P platforms increase by $30, or 2% of lost earnings, one month after job loss before returning to baseline over 10 months. Single mothers and the long-term unemployed receive the largest increases, as do those living in high-income areas. I exploit three plausibly exogenous changes to federal pandemic unemployment insurance (UI) policy to estimate that UI benefits crowd out at most $0.04 of informal P2P transfers. Using the social insurance framework introduced in Chetty & Saz (2010), my crowd-out estimates indicate negligible welfare consequences for an additional dollar of benefits. Altogether these results imply that public UI benefits can raise welfare by pooling risk across networks without reducing within-network targeting of informal insurance. The third chapter asks whether public school services fill in gaps left by private school failures. Specifically, it explores what type of schools enter the market and experience an increase in enrollment after reports of abuse by Catholic priests lead to Catholic Schools closures. I use a two-way fixed effects event study method to estimate a change in enrollments and number of different types of schools after a report of priest abuse within the same zip code, school district, or county. I find there are 0.2 fewer Catholic schools and Catholic school enrollment falls by 75 students after six years, which are offset by a 0.2 and 50-student increase in charter school counts and enrollments on average. These increases are unique to charter schools and is not observed in other public or non-Catholic private schools. Altogether, these results suggest that former Catholic schooled families show a preference for charter schools over other public schools, which may be due to the low-cost and similar emphasis on discipline and academic achievement.

In light of health disparities involving African Americans having disproportionately high rates of obesity, type II diabetes, cancer risk, heart disease and hypertension, the study was conducted with an all-Black adult sample (n= 470). Some 53.0% were female and the sample had a mean age of 32 years. The study evaluated the Knowledge of Physical Activity and Dietary Intake Guidelines Survey (KOPA-DIGS-40) as a new True-False knowledge test—with all True items. The study found moderately high levels of knowledge using the KOPA-DIGS-40. Findings using paired t-tests found evidence that ratings for (1) knowledge of guidelines and (2) self-efficacy for adherence to guidelines were significantly higher after taking the test. The study found noteworthy predictors of a higher KOPA-DIGS-40 score to be older age, higher education, and higher Body Mass Index. The study focused on three time periods (1-before the COVID-19 pandemic, 2-during the pandemic, 3-currently) and ratings on four health dimensions (1-physical health, 2-mental/emotional health, 3-physical activity level, 4-eating a healthy diet). Findings showed declines on the four dimensions during the pandemic, yet by Spring 2023 there were significant improvements—with a return by Spring 2023 to pre-pandemic levels. Findings suggested evidence of resilience after experiencing the stress of a global pandemic. Thus, a resilience theory and framework may be vital in guiding a future era of health disparities research with African Americans. Further, the study found an increase in social support during the pandemic, which continued into their current lives. Future research should continue to utilize the innovation of the genre of research reflected in this study’s use of the new Knowledge of Physical Activity and Dietary Intake Guidelines Survey (KOPA-DIGS-40)—as a True-False test with all True items; this follows from evidence the KOPA-DIGS-40 served as a brief online e-health intervention associated with increases in (1) knowledge of the guidelines and (2) self-efficacy for adherence to physical activity and dietary intake guidelines. Given the high rates of obesity, type II diabetes, cancer risk, heart disease and hypertension for African Americans, the findings make an important contribution to the literature—while suggesting future directions in research and interventions.

In the first chapter of this dissertation, I exploit the Covid-19 pandemic and associated government restrictions as a natural experiment in order to study the resilience of businesses in the United States. I use a border-county identification strategy with data on government restrictions, employment and open small businesses, in order to assess the resilience of small businesses in the United States. In my main results, I find negative impacts of stay-at-home orders on the number of open small merchants. In particular, shutdowns of businesses accelerated 8 weeks after imposition of a stay-at-home order, suggesting that many businesses were only resilient enough to handle adverse conditions for 8 weeks. On average, a county with a stay-at-home order experienced an additional 1.51 percentage points loss in the number of open small businesses, relative to January 2020, 8 weeks later compared to a neighboring county that did not have a stay-at-home order. Firms were quicker to resort to layoffs. On average a county with an active stay at home order in a month experienced an additional 1.19 percentage point loss in employment, relative to January 2020, the following month compared to a neighbor that did not have a stay-at-home order the previous month. My results suggest that in future scenarios where governments consider enacting similar restrictions further aid is needed for businesses in order to help them stay afloat. In particular, more assistance should be delivered to businesses within two months from the enacting of the order. In the second chapter of this dissertation, I study economic spillovers in the context of theCovid-19 associated government restrictions. I use a detailed geolocation dataset to construct data on the number of visitors per-capita between neighboring counties in the early stages of the pandemic, which I use as a proxy for economic spillovers. I employ a similar border-county identification strategy as in the first chapter to identify the causal effect of stay-at-home orders on inter-county movement. Additionally, I provide evidence for an assumption used in chapter one by examining if there are reduced spillovers in county-pairs that lie in the different commute zones. I find that stay-at-home orders caused reductions in inter-county visits in both directions in a county-pair. That is, I find a decrease in travel from the county without a stay-at-home order to the county with one, as well as a decrease in the opposite direction. On average, a county that does not have stay-at-home order will receive 408 fewer weekly visitors from their neighboring county that has a stay-at-home order. I also examine the effect of stay-at-home orders on the ratio of travel between the two directions in order to find evidence of a net spillover effect between the two counties and fail to find evidence of a net spillover effect. I also find that spillover effects are indeed reduced in neighbor county-pairs where the two counties are in different commute zones. The results of this paper imply that residents in counties with stay-at-home orders decreased travel to their neighboring counties even when those counties did not issue their own orders. In future situations where policy makers need to consider similar restrictions, they should focus on acting more quickly and not be concerned if neighboring counties are not cooperative. In the third chapter of this dissertation, I test the predictions of career concerns models by studying Major League Baseball umpires. Major League Baseball games can be dramatically shaped by minor lapses in judgement from the umpires officiating the game. Due to the indefinite length a game may have, this can include having the game shaped in a way that ends it faster. I study whether evidence for the career concerns model can be found in baseball umpires. A career concerns model would suggest that older umpires, whose careers and reputations are much more established than younger ones, would be more inclined to improperly make judgements that favor the end of the game in extra innings. I use data on MLB umpires and extra-innings games from the 2010-2018 seasons to conduct my empirical analysis and use a linear probability model to isolate the impact of the umpires’ tenure on the probability they make a “bad call.” I find evidence supporting the career concerns hypothesis and that the probability that an umpire makes a bad call that shortens the length of the game and allows them to go home increases with their tenure. I show that these results are likely driven by career concerns, rather than carelessness, by showing their error rate does not increase with tenure in situations where it would not reduce their workload.

Background: Throughout the COVID-19 pandemic, women carried, birthed, and cared for infants in a drastically changed world. For perinatal women, the sudden increase in stressors compounded an already vulnerable time where they are at an elevated risk of developing symptoms of psychopathology. Moreover, the pandemic exacerbated pre-existing racial health disparities and disproportionately impacted Black, Indigenous, and People of Color (BIPOC)— particularly perinatal BIPOC women, due to the intersection of their race and perinatal status. This study investigated the relationships between COVID-19-related stressors and postpartum psychopathology using network analysis. Network analysis is used as an alternative technique for investigating the activation and maintenance of psychopathology and is increasingly used to examine the influence of external variables (e.g., stressors) on network dynamics. The relationship between psychological symptoms and stressors is typically examined in a unilinear manner—that is, stress causes psychopathology or vice versa. By using network analysis, we were able to investigate the bidirectional relationship between COVID-19-related stressors and postpartum psychopathology to reveal new insights into the individual stressor-symptom interactions that may underlie the emergence of psychological disorders for the perinatal population during the pandemic. Methods: Participants (N=630) were recruited via social media and listservs and completed an online Qualtrics survey. Data quality measures were used to identify repeated, incomplete, and potentially fraudulent responses, which were removed prior to data analysis. Goldbricker, inter-item correlations, and variance inflation factor analyses were used to address topological overlap and identify statistically unique items to be included in the networks. A comorbidity symptom network was estimated to investigate the relationship between postpartum depression and anxiety symptoms in all participants. Bridge symptoms between the two conditions were identified using bridge analysis and clique percolation analysis. Next, an expanded model was estimated to investigate the relationship between postpartum symptoms and COVID-19-related stressors. Node-wise predictability and moderation analyses were used to investigate the effects of adding external variables (i.e., positive experiences, maternal functioning domains, and predictors of psychopathology) to the expanded model. Finally, moderated networks were estimated to investigate differences in the structure of the comorbidity network and the expanded network for mothers from different racial and ethnic groups. Results: Fear-based symptoms were central in both the comorbidity and expanded networks and bridged postpartum anxiety and depression symptoms in the comorbidity network. The Depressed Mood and two Home Stress domains were central in the expanded network. Additional bridge symptoms in the comorbidity network included feeling overwhelmed, concentration difficulties, and feeling disliked by others, and in the expanded network included the Postpartum Stress, Emotional Stress, and Difficulty Adjusting domains. Moderation analyses revealed that the more mothers felt competent and the less challenging they perceived their infant’s temperament, the weaker the node connections were in their expanded networks. Furthermore, mothers with a history of prenatal depression, prenatal anxiety, or baby blues had denser expanded networks (i.e., stronger and more unique edges) compared to mothers with no history of these conditions. Contrary to expectations, moderation analyses revealed that: 1) social support and engaging in positive experiences during the pandemic strengthened connections between stressors and symptoms; 2) middle-income mothers had denser networks compared to low- and high-income mothers. Finally, racial network comparisons revealed that Black mothers' comorbidity and expanded networks were denser compared to all other racial groups. Conclusions: Our findings highlight the influence of major contextual changes, such as the COVID-19 pandemic, on network dynamics—that is, previously established peripheral network nodes (e.g., fear) may shift to the center during large-scale events. Therefore, researchers cannot assume that previously identified central nodes will remain as the main drivers of psychopathology irrespective of changes in context, as this may lead to a misdirection of prevention and intervention efforts. Further, our findings underscore that people with multiple intersecting vulnerabilities may be disproportionately impacted by these major events.

COVID-19 exacerbated a pre-existing and well-documented mental health crisis on college campuses in the United States. During COVID-19, more college students than ever before in recorded history reported feelings of anxiety and depression, among other mental health issues. There are myriad possible causes for the decline in mental health among college students. One clear cause is the introduction of the smartphone, its widespread adoption, and its frequent use by college-age people. Research also revealed that an unprecedented number of college students are completely disconnected from religion and spirituality. Studies demonstrated that cultivating a religious or spiritual life can be beneficial for one’s mental well-being. The efforts on college campuses to provide mental health resources for students would benefit from additional support. This care should be accessible to more students and should combat the unfortunate stigma around receiving help for mental health. Undergraduate introductory philosophy courses taken as a requirement by various majors can serve as responses to this call for additional care. These classes are inherently accessible and can offer students an engaging experience with self-care by implementing exercises inspired by philosophy as the art of living. Although philosophy as the art of living does not necessarily have to replace religion or other forms of mental health care, it can offer an experience that is of therapeutic value in the classroom. This tradition has a rich, ancient history of intending to serve this purpose. The objective of this research was to present and examine self-care exercises from philosophy as the art of living and to evaluate how these can be taught in the college classroom in response to the mental health crisis on college campuses. It also aimed to render the experience of teaching these exercises. The research was executed through a hermeneutical and phenomenological approach. The phenomenological methodology was performed by a teacher in the form of a self-study. It was also conducted with the teacher as a witness to what transpired in introductory philosophy classes with thousands of students in dozens of individual classes in a diverse metropolis. A college introductory philosophy course in this epoch of mental health crisis on campuses should abide by philosophy as the art of living’s imperative to decrease suffering. There is a vital need for additional resources to respond to the decline in mental wellness among students. The results of this research demonstrated that philosophy as the art of living and its emphasis on exercises can be successfully applied to the college classroom. In this research, students were given time on a regular basis during class to be in silence, confront Socratic-style questions that encouraged them to examine and care for themselves, practice self-writing to heighten their ability to think and pursue the aim of self-care, and then read to engage with philosophical texts to support their self-care. Students consistently and rigorously engaged with these exercises. Their time spent in silent practice provided an opportunity for therapeutic, meditative, and peaceful reflection. Educators should consider implementing these exercises in introductory philosophy classes and beyond as ways to offer self-care to students who may be struggling with their mental health, as so many are.

Humans’ social relationships determine to a large degree their trajectories in life. Despite strong evidence for the impact of interpersonal relations on wellbeing, the causal links between the two are not yet fully understood. This dissertation offers a new perspective on the mechanisms through which social ties influence negative (excessive drinking) and positive (participation in recreational activities) health behaviors. In three studies employing a unique combination of social network, fMRI, and experience-sampling methods, we propose that health decisions are the result of complex computations involving prior social experiences, perceived social norms, social comparison processes, and current feelings of connections. Each chapter of this dissertation discusses one of these three studies. Chapter 1 provides evidence that past social experiences shape valuations of new information by showing that pairs of students that drink often together tend to have more similar neural responses to novel alcohol cues in regions associated with affective self-generated thought. In addition, this Chapter suggests that researchers must consider the intricate interplay between individuals’ personal goals and their communities’ norms to understand the influence of social environments on neural representations. The degree to which students aligned their neural response patterns to alcohol with those of their peers depended on interactions between their individual motives for drinking and their group’s approval of this behavior. Chapter 2 presents novel findings that people spontaneously represent social information from multiple networks (e.g., popularity and leadership) at a neural level in social cognition (right TPJ, dmPFC) and valuation (vmPFC) regions. Importantly, individuals who display higher neural sensitivity to status differences are also more likely to align their drinking behavior with their group norms in daily life. Together, our results provide insight into the neural mechanisms through which social comparison processes shape conformity and suggest social cognition and valuation regions as important hubs orchestrating this process. While Chapter 1 and Chapter 2 focus on the influence of social ties on drinking, Chapter 3 discusses the protective role of close relations during difficult times. We provide evidence that close college friendships, even if afar, helped young adults cope with the stress of the COVID-19 pandemic. Follow-up between- and within-individual analyses reveal that this buffering effect could be explained by differences in the quality of online interactions (e.g., via phone, text messaging), instances of personal disclosure, and participation in enjoyable activities. All in all, this dissertation advances our understanding of why measures of social wellbeing are the best predictor of health trajectories in life, by highlighting the important role social ties play in shaping valuation of new information, guiding behavior to meet social goals, and protecting against stress by allowing people to engage in recreational activities.