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2026

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Institution
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Articles 31 - 38 of 38

Full-Text Articles in Other Economics

For Whom Do Labels Work? Heterogeneous Effects Of Popularity And Environmental Information In Coffee Choice, Dede Long, Joaquín Gómez-Miñambres, Hongxing Liu Jan 2026

For Whom Do Labels Work? Heterogeneous Effects Of Popularity And Environmental Information In Coffee Choice, Dede Long, Joaquín Gómez-Miñambres, Hongxing Liu

ESI Publications

We examine the impact of two common food labels on consumers’ choices: environmental certification and popularity cues. In a randomized experiment, participants chose between two similar coffee products, with treatments varying the presence of environmental and/or popularity information. We also collected measures of conformity preferences, environmental concern, political identity, and demographics. At the aggregate level, the environmental and combined labels significantly increased the selection of the target coffee, whereas popularity information alone had no effect. These averages conceal substantial heterogeneity: high-conformity participants responded to all labels, especially popularity cues, while those with domain-specific environmental concerns responded only to environmental and …

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Higher Growth Rate In The California Manufacturing Sector In The First Quarter Of 2026, Anderson Center For Economic Research Jan 2026

Higher Growth Rate In The California Manufacturing Sector In The First Quarter Of 2026, Anderson Center For Economic Research

Anderson Center Press Releases

No abstract provided.

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Education And The Maternal Childcare Gap: Evidence From The Uk Covid-19 Pandemic, Lara Bakhaya Jan 2026

Education And The Maternal Childcare Gap: Evidence From The Uk Covid-19 Pandemic, Lara Bakhaya

Honors Theses

This paper examines whether college education shapes working mothers’ access to remote work, flexible working, and childcare hours in the United Kingdom, and whether COVID-19 school closures amplified these inequalities. Using data from the UK Time Use Survey (2016–2021), a repeated cross-sectional diary dataset spanning the pre-pandemic period and five COVID-19 waves, this paper estimates weighted logistic and ordinary least squares regressions on a sample of married or cohabiting, employed mothers. School closures serve as a natural experiment, providing an exogenous shock to caregiving demands that affected all mothers simultaneously regardless of education level. College education significantly predicted working from …

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Spillover Effects Of Medicare Advantage On Fee-For-Service Post-Acute Care Spending, Nyel Bangash Jan 2026

Spillover Effects Of Medicare Advantage On Fee-For-Service Post-Acute Care Spending, Nyel Bangash

Honors Theses

Does the growth of Medicare Advantage reduce fee-for-service post-acute care spending through practice-pattern spillovers, or do observed spending differences primarily reflect favorable selection? Using a county-level panel of roughly 2,700 counties (2014–2023) and a two-way fixed effects specification, I find that a one percentage-point increase in MA penetration is associated with $9.54 less per-capita standardized FFS spending. Spending per episode falls while participation rates remain stable, consistent with practice-pattern spillovers rather than compositional changes from selection. Welfare indicators from County Health Rankings, CDC PLACES, and CMS Care Compare show no evidence that spending reductions harm health or care quality. The …

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An Analysis Of How Adverse Weather Conditions Impact Concessions Revenue At Live College Sporting Events, Luke V. Eiermann Jan 2026

An Analysis Of How Adverse Weather Conditions Impact Concessions Revenue At Live College Sporting Events, Luke V. Eiermann

Honors Undergraduate Theses

Previous literature finds that weather affects consumer behavior, though these findings are conflicting among sports fans. While there have been some studies into weather’s effects on attendance, there has not yet been research into its effects on concessions revenue. This is a topic of interest as adverse weather is increasingly prevalent in consumers’ lives, and learning more about their behavior in response to adverse weather is becoming more important. I performed a fixed effects panel data regression, using weather data sourced from the NOAA and sports and population data sourced from various locations. I did not find significant results for …

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The Economics Of The U.S. Student Loan Market And The Case For The Education Development Financial Institution, Ian Akers Jan 2026

The Economics Of The U.S. Student Loan Market And The Case For The Education Development Financial Institution, Ian Akers

CMC Senior Theses

The United States student loan market is shaped by a variety of market failures–credit constraints, positive externalities, behavioral frictions including myopia, debt aversion, and misperception–that together justify government intervention in the market. Yet the design of federal intervention is just as important as its existence. This thesis details the economic theory underpinning the market for student loans, evaluates three historical federal student loan programs (the Perkins Loan Program, the Federal Family Education Loan Program, and the Federal Direct Loan Program) through the lens of that theory. The thesis then proposes a novel institutional model as a targeted response to the …

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Volatility Modeling With An Application To Risk Parity Portfolios, Kenneth Hou Jan 2026

Volatility Modeling With An Application To Risk Parity Portfolios, Kenneth Hou

CMC Senior Theses

This thesis studies volatility modeling in the context of risk parity portfolio construction. I compare three risk parity portfolios that differ only in their underlying volatility model: a historical covariance baseline, a Bayesian stochastic volatility model, and a GRU–GARCH hybrid neural network. Using daily returns on Kenneth French’s five industry portfolios from January 2016 through December 2025, I construct monthly rebalanced portfolios under each model, with the SV and GRU forecasts embedded in hybrid covariance matrices that combine forecasted volatilities with rolling historical correlations. The results document a divergence between forecast accuracy and portfolio performance: the SV model is the …

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Trading Volume And Forecast Accuracy In Kalshi Prediction Markets, Nicholas Smole Jan 2026

Trading Volume And Forecast Accuracy In Kalshi Prediction Markets, Nicholas Smole

CMC Senior Theses

This thesis examines the accuracy of Kalshi prediction markets and how different measures of trading volume shape their calibration and predictive power. Expanding upon previous models, use nonparametric calibration curves, pseudo-likelihood regressions, and Brier-score regressions on a large panel of Kalshi contracts to compare the effects of ex-post total volume and cumulative trading volume on market accuracy. Markets are typically well-calibrated near expiration; however, at longer horizons, low-volume markets exhibit substantially more miscalibration. Holding time to expiration fixed, greater cumulative volume is associated with higher accuracy. In comparison, higher ex-post total volume is associated with lower accuracy, highlighting the importance …

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