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Social and Behavioral Sciences Commons™
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- Uncertainty (2)
- Adaptive Learning Gains (1)
- Adoption decision (1)
- Agglomeration Economics (1)
- Asset Pricing (1)
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- COVID-19 (1)
- Carbon credit (1)
- Carbon market (1)
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- Cluster Strength (1)
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- Equity Risk Premium (1)
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- PUFF Dispersion Model (1)
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- Real Option (1)
- Relief Packages (1)
- Strategic Growth Theory (1)
- Vehicle Routing Problem (1)
- Wage growth (1)
- Wages (1)
Articles 1 - 7 of 7
Full-Text Articles in Social and Behavioral Sciences
Impact Of Covid-19 Relief Packages On U.S. Household Food Security And Food Expenditure, Bridget Yeboah Bafowaa
Impact Of Covid-19 Relief Packages On U.S. Household Food Security And Food Expenditure, Bridget Yeboah Bafowaa
Electronic Theses and Dissertations
The COVID-19 pandemic led to changes in consumer shopping habits, including food expenditures. The pandemic induced changes in food expenditure patterns, food accessibility, and declining household income contributed to increased food insecurity during the pandemic. The objective of this study is to examine the impact of COVID-19- related relief packages on food security and food expenditures. The effect of Economic Impact Payments, P-EBT, SNAP, and free food will be considered. Using data from the Household Pulse Survey (HPS), a total sample of 1,899,929 households were analyzed in this study. The HPS is a nationally representative survey structured to produce data …
Firm-Level Political Risk And Corporate R&D Investment, Emmanuel Boah
Firm-Level Political Risk And Corporate R&D Investment, Emmanuel Boah
Electronic Theses and Dissertations
I examine how firms make R&D investment decisions during periods of political uncertainty. To minimize stickiness and overly generalized assumptions, I employ quarterly data. I find that firms invest more in R&D when facing high levels of political risk. The results suggest that this positive relationship between political risk and R&D investment is more pronounced for competitive and politically sensitive firms. Additionally, the positive association is evident among firms with higher growth opportunities and more liquid assets. The results are robust to the test for correlation, addressing endogeneity, and alternative proxies adopted for the variables of interest. Overall, the findings …
Adaptive Learning Gain In Asset Pricing, Sedealy Juste Lokossou
Adaptive Learning Gain In Asset Pricing, Sedealy Juste Lokossou
Electronic Theses and Dissertations
This paper delves into the complexities of asset pricing, emphasizing the need to go beyond prevailing paradigms and constant learning gain assumptions. We examine the influence of personal experiences, adaptive learning processes, and subjective return expectations on asset pricing. By incorporating the concept of time-varying learning gain, we provide a more realistic portrayal of asset pricing. Empirical analysis reveals a consistent negative correlation between experienced real payout growth and subsequent returns, indicating counter-cyclical behavior. Our findings also support the mean-reversion hypothesis in stock returns, although caution is needed due to some scenarios lacking statistical significance. Theoretical exploration uncovers that higher …
The Impact Of Cluster Strength On Wages: An Empirical Analysis, Devan Schaefer
The Impact Of Cluster Strength On Wages: An Empirical Analysis, Devan Schaefer
Electronic Theses and Dissertations
In this thesis, I examine the relationship between clusters (i.e., the grouping of competitive, interconnected industries within a geographical area) and wages, building upon the work of Marshall (1890) and Porter (2003) on the importance of clusters for regional economic development. I seek to answer two research questions. First, after accounting for robustness tests, do clusters continue to affect wages positively? Second, is labor force productivity the only channel through which this relationship occurs? In my analysis, I employ ordinary least squares, two-stage least squares, and fixed effects regression analyses using panel data from 2009 to 2014 for every U.S. …
Simulating The Impact Of Emissions Control On Economic Productivity Using Particle Systems And Puff Dispersion Model, Najam Khan
Electronic Theses and Dissertations
A simulation platform is developed for quantifying the change in productivity of an economy under passive and active emission control mechanisms. The program uses object-oriented programming to code a collection of objects resembling typical stakeholders in an economy. These objects include firms, markets, transportation hubs, and boids which are distributed over a 2D surface. Firms are connected using a modified Prim’s Minimum spanning tree algorithm, followed by implementation of an all-pair shortest path Floyd Warshall algorithm for navigation purposes. Firms use a non-linear production function for transformation of land, labor, and capital inputs to finished product. A GA-Vehicle Routing Problem …
The Role Of Carbon Credits On Farmers’ Adoption Of Climate-Smart Practices In South Dakota, Stephen Cheye
The Role Of Carbon Credits On Farmers’ Adoption Of Climate-Smart Practices In South Dakota, Stephen Cheye
Electronic Theses and Dissertations
Net-zero pledges and carbon credit systems have gained momentum due to the growing urgency to address climate change and limit global warming to below 2°C above preindustrial levels. Agricultural carbon credits can be a potentially win-win mechanism by providing extra income for farmers while helping to reduce greenhouse gas emissions. Nevertheless, there is a paucity of understanding about farmers’ willingness to accept carbon credit incentives and adopt climate-smart practices that sequester carbon. To address this, we analyzed 309 responses from a South Dakota producer survey conducted in 2021. We estimated probit and interval regression models to ascertain the level of …
Would Ai Stocks Estimate Be As Surprised To Usda Stocks Reports As Private Market Analysts?, Asif Mahmud Chowdhury
Would Ai Stocks Estimate Be As Surprised To Usda Stocks Reports As Private Market Analysts?, Asif Mahmud Chowdhury
Electronic Theses and Dissertations
The USDA survey-based Quarterly Agriculture Stocks (QAS) reports are the primary source of information regarding the relative supply of U.S. corn, soybeans, and wheat for the last fifty years. Research has examined USDA stock reports and their relevancy to the market (e.g., Isengildina-Massa et al., 2021). In addition, private industry analysts estimate expected quarterly grain stock reports before USDA releases them. Market information firms such as Bloomberg and Reuters publish a subset of these estimates a few days before the USDA reports. Previous research has found that when industry analysts have significant differences in stock expectations compared to what the …