Does higher education shape change in happiness during the COVID-19 pandemic? Evidence from working-age adults in China

The global health crisis triggered by the emergence of COVID-19 profoundly reshaped daily life, economic stability, and psychological well-being across international populations. While the immediate economic fallout—such as job losses, business closures, and income contraction—has been extensively documented, the noneconomic dimensions of the crisis, particularly regarding subjective well-being and emotional stability, remain a critical area of study. A new empirical investigation published in Frontiers in Psychology by researcher Huijiang Dai addresses this gap, examining how educational attainment influenced the happiness trajectories of working-age adults in China during the pandemic. Utilizing nationally representative panel data, the study reveals that higher education served as a vital buffering mechanism against acute emotional declines, even as degree-holders navigated complex societal pressures.

The research focuses on a comparative analysis of working-age adults, specifically individuals aged 18 to 65, to determine whether patterns of self-reported happiness diverged between those with and without higher education during the height of the global health emergency. By deploying a rigorous quasi-experimental difference-in-differences (DID) design, the study moves beyond simple cross-sectional comparisons to evaluate how the happiness gap between college-educated and non-college-educated segments shifted following the onset of the pandemic.

Background Context and Research Methodology

For decades, China has experienced a massive expansion in higher education enrollment, driven by state policies aimed at accelerating human capital development and fostering upward social mobility. However, rapid credential inflation and intense labor market competition have complicated the traditional assumption that a university degree guarantees an unalloyed increase in life satisfaction or emotional well-being. Prior to the pandemic, highly educated individuals frequently encountered psychological strain stemming from discrepancies between high personal expectations and actual career outcomes.

The arrival of COVID-19 in early 2020 introduced an unprecedented exogenous shock characterized by stringent public health lockdowns, widespread social isolation, and systemic economic uncertainty. To investigate how individuals adapted to this sudden disruption, the study drew upon data from the China Family Panel Studies (CFPS), a comprehensive, nationally representative longitudinal household survey managed by Peking University’s Institute of Social Science Survey. Covering 25 provincial-level administrative regions, the CFPS provides robust tracking of socioeconomic, health, and well-being metrics.

The analytical sample focused on respondents from the 2018 pre-pandemic wave and the 2020 pandemic-era wave, comprising a total of 13,203 working-age adults after listwise deletion of missing values. The primary outcome variable—self-reported happiness—was measured using a standard single-item scale ranging from 0 to 10. The treatment group consisted of individuals who had completed a college diploma, associate degree, bachelor’s degree, postgraduate degree, or had current enrollment exposure to higher education, while the control group comprised individuals without higher education credentials.

Key Empirical Findings and Statistical Evidence

The empirical models incorporated comprehensive controls for demographic characteristics, geographic regions, and socioeconomic factors, including personal income, self-rated health, work satisfaction, relationship evaluations, and subjective social status.

The core findings demonstrate a statistically significant interaction effect between higher education and the post-pandemic period ($beta$ = 0.186, $p$ = 0.003). This indicates that working-age adults with higher education experienced a 0.186-point smaller decline in self-reported happiness relative to their non-college-educated peers between 2018 and 2020. Interestingly, the main effect of higher education itself was negative and significant ($beta$ = −0.131, $p$ = 0.004) when fully adjusted for socioeconomic and psychosocial covariates, highlighting the underlying pressures and heightened aspirations often associated with credentialed status in highly competitive labor markets. Meanwhile, the main effect of the post-pandemic period was negative but statistically insignificant ($beta$ = −0.013, $p$ = 0.718), a result pointing toward potential hedonic adaptation and stabilization by the time surveys were collected later in 2020.

To ensure the validity of the difference-in-differences design, the study conducted parallel trends tests using earlier pre-pandemic waves from 2014 and 2016. The resulting interaction coefficients for these prior years were statistically indistinguishable from zero, confirming that the two groups followed parallel trajectories prior to the 2018 baseline and validating the causal interpretation of the 2020 divergence.

Chronology of the Crisis and Adaptation Dynamics

The progression of the pandemic in China followed a rapid initial outbreak in early 2020, met by sweeping national quarantine measures, followed by a gradual reopening and economic stabilization phase later that year. Because the CFPS data collection spanned across 2020, respondents surveyed in the latter half of the year likely captured a period of emotional recovery rather than peak lockdown distress.

This temporal context aligns with hedonic adaptation theory, which suggests that individuals possess baseline mechanisms that help them acclimate to adverse environmental shocks over time. The study’s authors note that while acute disruptions initially strained mental health globally, individuals equipped with specific cognitive and social resources were better positioned to navigate the turbulence.

Socioeconomic Covariates and Regional Disparities

Beyond educational attainment, the study’s fully adjusted models highlighted several critical determinants of subjective well-being. Interpersonal relationship evaluations ($beta$ = 0.431, $p$ < 0.001) and work satisfaction ($beta$ = 0.342, $p$ < 0.001) exhibited the strongest positive associations with happiness, followed closely by subjective social status ($beta$ = 0.304, $p$ < 0.001) and self-rated health ($beta$ = 0.227, $p$ < 0.001).

Urban residents reported significantly higher levels of happiness compared to rural counterparts ($beta$ = 0.176, $p$ < 0.001). Furthermore, regional fixed effects revealed notable geographic variation: residents in Northeast China ($beta$ = 0.354, $p$ < 0.001) and North China ($beta$ = 0.240, $p$ < 0.001) reported higher baseline happiness than those in Central South, East, Northwest, and Southwest regions, demonstrating that local infrastructure and regional policy environments play an active role in modulating well-being.

Policy Implications and Institutional Recommendations

The insights generated by this research carry substantial weight for policymakers, educational institutions, and public health strategists. The findings challenge narrow evaluations of higher education that focus exclusively on pecuniary returns, such as initial employment rates and wage premiums. Instead, they demonstrate that higher education functions as an important psychosocial buffer during systemic crises.

Experts and institutional leaders suggest that universities and governing bodies must integrate mental health support and emotional resilience training directly into academic frameworks. Because higher education can simultaneously impose high expectations and psychological stress, institutions are encouraged to expand access to professional mental health resources, counseling services, and structured peer networks.

From a broader governance perspective, policymakers are urged to address structural educational disparities, particularly between urban and rural areas. Ensuring equitable access to quality higher education and targeted financial aid can enhance population-level resilience against future public health emergencies or economic recessions. Aligning educational expansion with comprehensive social support systems—such as targeted health promotion and labor market stabilization—remains essential for translating educational investments into tangible gains in human welfare.