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Full-Text Articles in Macroeconomics

Navigating Generosity: A Comparative Analysis Of Charitable Donations Around The Great Recession Of 2008, Micah Blomberg May 2024

Navigating Generosity: A Comparative Analysis Of Charitable Donations Around The Great Recession Of 2008, Micah Blomberg

Economics Student Theses and Capstone Projects

This paper studies donations to non-profit organizations in the US and how they reacted to The Great Recession of 2008. I find statistically significant drop-offs in multiple donative subcategories, including religion, education, human services, public society benefits, and arts, culture, and humanities, making up over 50% of total donations. Donation levels after the 2008 crash tend to be slightly downward sticky, meaning the rate of increase is larger after the treatment effect. These increased rates of return allow for market correction post-recession but still reveal a deadweight loss when comparing trends in OLS betas before and after the recession, meaning …


Estimating The Stability Of Okun's Law, Xinrui (Crystal) Wang, Samuel Schreyer Mar 2024

Estimating The Stability Of Okun's Law, Xinrui (Crystal) Wang, Samuel Schreyer

SACAD: John Heinrichs Scholarly and Creative Activity Days

This study focuses on employing the gap version of Okun's Law, conducting regression analysis between the output gap and the unemployment gap to assess their effectiveness and long-term stability, and also estimates the significant relationship between the output gap and the unemployment gap. This study also compares the output gap dynamics during economic contractions and expansions.


Reinvigorating Gva Nowcasting In The Post-Pandemic Period: A Case Study For India, Kaustubh Na, Soumya Suvra Bhadury, Saurabh Ghosh Feb 2024

Reinvigorating Gva Nowcasting In The Post-Pandemic Period: A Case Study For India, Kaustubh Na, Soumya Suvra Bhadury, Saurabh Ghosh

Bulletin of Monetary Economics and Banking

We reinvigorate nowcasting models considering structural changes caused by the COVID-19 pandemic. It emphasizes the need to understand the heterogeneous impact of shocks on agriculture, industry, and services sectors in an emerging market economy (e.g., India). Our findings advocate a bottom-up approach that tracks sectors separately rather than a headline number. Our results suggest including digital-activity index and supply-side disruption index in the post-pandemic period could improve nowcast performance. Expectation-Maximization (E-M) algorithm is used to combine data series based on their availability. Among bridging methods, the averaging method is preferred due to its simplicity and flexibility.


Essays In Macroeconomics And Finance, Archil Dvalishvili Feb 2024

Essays In Macroeconomics And Finance, Archil Dvalishvili

Dissertations, Theses, and Capstone Projects

Chapter 1: (A Quantitative Analysis of Interest on Reserves and Reserve Requirements) - I construct a medium scale DSGE model with financial frictions both on the demand (entrepreneurs) and supply (banks) sides of credit to study the costs and benefits of fixed/time-varying minimum reserve requirements and interest paid by the Fed on reserves.The results can be summarized as follows: (1) An optimal time-varying minimum reserve requirement generates substantial welfare gain when compared with a fixed minimum reserve requirement when no interest is paid on reserves. (2) Paying interest on reserves is substantially welfare inferior to a policy with no interest …


Driven By Change: The Impact Of Macroeconomic Shifts And Covid-19 On New Vehicle Sales, Jackson Aldrich Jan 2024

Driven By Change: The Impact Of Macroeconomic Shifts And Covid-19 On New Vehicle Sales, Jackson Aldrich

CMC Senior Theses

This paper examines the impact of macroeconomic factors and the COVID-19 pandemic on new vehicle sales. In order to address these two topics, a two-pronged approach was used with separate regression models. The macroeconomic variables include monthly supply of new homes, CPI for urban public transportation, unemployment rate, disposable personal income, inflation expectation, consumer sentiment, average gas prices, and total vehicle miles traveled which were regressed on total vehicle sales from 1978-2022. The regression results confirmed and supported current literature and highlighted the importance of the housing market and unemployment rate on new vehicle sales. The COVID-19 pandemic model variables …