Abstract In this paper, we hope to track the migration trends of veterans from year to year. We...
veterans
Toby Heaney
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Google Trends paper submitted for publication
This study examines the relationship between Google Trends search
activity for the terms SUV and Truck and future unemployment rates, using
them as a test of the Permanent Income Hypothesis. The findings reveal
a strong correlation between these search terms and subsequent state-level
unemployment rates, suggesting that consumer search behavior reflects
expectations about future economic conditions. Our results indicate that
Google Trends data can serve as an implicit predictor of unemployment,
offering a novel, real-time approach to labor market forecasting.
The Times West Virginian Covers the Predatory Claims Act
I'm pleased to inform you that our ongoing efforts to address the issue of predatory practices targeting veterans have gained significant attention. A Times West Virginian article sheds light on the plight of veterans who fall victim to unscrupulous individuals,...
Introducing the Predatory Claims Act
This bill, introduced in the West Virginia Senate, targets protecting veterans seeking assistance with their benefits. It aims to prevent individuals or organizations from charging veterans for help unless permitted by federal law. Need for the Bill: Potential for...
Google Trends and State Level Unemployment
Abstract This study employs a predictive lead regression model to optimize the selection of Google Trends search outcomes, enhancing the accuracy of Unemployment predictions at the state level. The investigation centers on evaluating the correlation between Google...
IS THE VA PROPERLY SERVING THE VETERANS OF THE APPALACHIAN REGION?
Abstract In this paper we use a simple Differences in Differences method to compare Veterans Administration (VA) hospital outpatient usage between the Appalachian Region and the rest of the United States. This will be done using data before the community care started...