Econometrics Commons^™

Air Pollution And Self-Reported Health Outcomes In The United States, Alina Dervisevic

Theses and Dissertations

This study examines the relationship between short-term PM2.5 exposure and self-reported health outcomes among U.S. adults using BRFSS data from 2000 to 2012 linked to county-level pollution and weather data. Results show that PM2.5 exposure is associated with worse mental health and gender specific behavioral responses.

Essays On High-Frequency Dynamics Of Asset Prices, Yuhong Zhu

Dissertations and Theses Collection (Open Access)

This dissertation studies econometric inference for high-frequency financial data, with a focus on detecting nonstandard drift and volatility dynamics in continuous-time models.

The first chapter proposes a new framework for uniform inference on explosive drift in high-frequency data, where conventional Gaussian approximations can fail due to the non-Gaussian behavior of short-window spot statistics. Under fixed-window asymptotics, these statistics are coupled with dependent t variables, and their maximum converges to a Fréchet distribution. We establish an anti-clustering condition for dependent t-statistics under overlapping windows and develop a feasible coupling-based test. Simulation results demonstrate better size control, and the empirical findings suggest …

Improving Estimation Efficiency Via Regression-Adjustment In Covariate-Adaptive Randomizations With Imperfect Compliance, Liang Jiang, Oliver B. Linton, Haihan Tang, Yichong Zhang

Research Collection School Of Economics

We study how to improve efficiency via regression adjustments with additional covariates under covariate-adaptive randomizations (CARs) when subject compliance is imperfect. We first establish the semiparametric efficiency bound for the local average treatment effect (LATE) under CARs. Second, we develop a general regression-adjusted LATE estimator which allows for parametric, nonparametric, and regularized adjustments. Even when the adjustments are misspecified, our proposed estimator is still consistent and asymptotically normal, and their inference method still achieves the exact asymptotic size under the null. When the adjustments are correctly specified, our estimator achieves the semiparametric efficiency bound. Third, we derive the optimal linear …

From The Ground To The Stars: How Research And Development In Aerospace Plays A Massive Role, Bryan Sohan

Honors College Theses

Aerospace technology is a long-standing field of innovation, yet it has experienced renewed momentum in recent years due to increased public and private investment. This study analyzes how changes in budget allocations to aerospace-related firms and government organizations influence the pace and scope of technological development within the aerospace sector. By examining historical trends in aerospace innovation alongside recent funding initiatives and policy decisions, this research evaluates the relationship between financial investment and technological advancement. This analysis focuses on Hypothesis 1 (H1): that higher aerospace R&D expenditure is positively correlated with innovation output. Using a two-period state-level panel (FY2021 and …

Money And State Politics: State Legislature Partisan Dynamics And Ideology Outcomes Following Citizens United V. Fec, Jillian E. Pastore

Bates College Journal of Political Studies

What effect has Citizens United v. FEC had on state-level partisanship and the policy outcomes that follow from it? Scholarship on the influence of corporate and union spending in political campaigns has largely centered on federal elections. In this paper, I extend the analysis to the state level, leveraging the fact that Citizens United created a natural experiment across the states. Prior to the Supreme Court ruling, roughly half of the states prohibited corporate and union independent expenditures in state elections (including for governor, state senate, state house, and state supreme court races). The Citizens United decision effectively nullified these …

Supporting Those Who Serve: The Impact Of Peer Support On Law Enforcement Suicide, Emily N. Warren

Honors College Theses

Individuals working in law enforcement face daily stressors that far exceed those experienced by the general population. This elevated exposure to stress has been associated with increased rates of mental health disorders and suicide among law enforcement officers. In response, peer support programs have gained recent attention, with new state and federal legislation promoting peer support as a strategy to address the mental health crisis within law enforcement. This paper examines the impact of statewide peer support programs on law enforcement suicide rates through statistical analysis. A difference-in-differences analysis is used to compare state-level law enforcement suicide rates before and …

Quantifying Overconsumption In The United States: A Multiple Linear Regression Analysis, Morgan Davis

Honors Projects

This study examines overconsumption in the United States by analyzing how socioeconomic factors influence household spending relative to income. Overconsumption is defined as elevated discretionary spending relative to income, with a focus on categories such as apparel, entertainment, and food away from home. Using 2024 Consumer Expenditure Survey (CEX) data, three multiple linear regression models were created to evaluate predictors of overall consumption, discretionary consumption, and apparel spending as proportions of income.

Results show that income is the most significant predictor across all models, with higher-income households consistently spending a smaller share of their income. Age and household size also …

Fixed Effects Estimation Of Spatial Panel Model With Missing Responses: An Application To Us State Tax Competition, Xiaoyu Meng, Zhenlin Yang

Research Collection School Of Economics

We consider estimation and inferences for general spatial panel data models with randomly missing observations on responses. It allows for unobserved spatiotemporal heterogeneity, time-varying endogenous and contextual spatial interactions, time-varying cross-sectional error dependence, and serial correlation. A general M-estimation method is proposed for model estimation and a novel corrected plug-in method is proposed for model inference. Both take into account the estimation of fixed effects. Asymptotic properties of the proposed methods are studied, and finite sample properties are investigated. An empirical application is given using U.S. state tax competition data. The proposed methods apply to matrix exponential spatial specification and …

Genuinely Unbalanced Spatial Panel Data Models: Fixed Effects M-Estimation And Inference, Xiaoyu Meng, Zhenlin Yang

Research Collection School Of Economics

We consider spatial panel data models with genuine unbalancedness arising from the non-presence of some spatial units in certain time periods. General M-estimation methods are proposed for model estimation, which take into account the estimation of the incidental fixed effects parameters and allow for spatiotemporal heteroskedasticity and high-order time-varying spatial effects. Corrected plug-in methods are proposed for standard error estimation. The proposed estimation and inference methods are rigorously studied for their asymptotic properties and finite sample performance. An application to China’s provincial FDI inflows shows that properly accounting for genuine unbalancedness uncovers significant positive spatial spillovers that are masked when …

Protection Vs. Progression: A Macroeconomic Approach To Military Expenditure Direct Effects On Social Outcomes Using Ihdi Measures, Connor Graham

Global Tides

This study examines whether military expenditure reduces inequality-adjusted human development and how national governance quality moderates these effects. Using panel data covering 121 countries from 2010-2023, two-way fixed effects models are employed to estimate the relationship between military spending and the Inequality-Adjusted Human Development Index (IHDI). Three key findings emerge from the analysis based on the resulting data. First, a one percentage point increase in military spending reduces IHDI by 0.0012-0.0015 points. Second, the effects prove seven times larger in developed countries than in developing ones, which runs contrary to expectations and prior literature. Lastly, political stability emerged as a …

Identifying Common Trend Determinants In Panel Data, Yoonseok Lee, Peter C. Phillips, Suyong Song, Donggyu Sul

Center for Policy Research

This paper develops a novel method for identifying observable determinants of latent common trends in nonstationary panel data, which are typically removed or controlled in two-way fixed effects regressions. By examining cross sectional dispersion processes, we assess whether panel series exhibit distributional convergence toward specific observed time series, revealing them as long run determinants of the underlying latent trend. The approach also offers a new perspective on cointegration between time series and panel data, focusing on the relative variation of the panel data with respect to the cointegration error. Applying this method to U.S. state-level crime rates demonstrates that the …

Time Invariant Variables In The Mundlak And Hausman-Taylor Panel Data Models, Badi H. Baltagi, Long Liu

Center for Policy Research

This paper shows that the classic augmented Mundlak (1978) regression yields the between estimator for time-invariant variables. It is well known that the estimates of the time varying variables yield the fixed effects estimates. While the latter are consistent for this correlated random effects model, the between estimates are not. The between estimator is consistent only when the Hausman (1978) test does not reject the null based on between versus fixed effects. An alternative modified Hausman and Taylor (1981) estimator is proposed. Monte Carlo experiments are performed to compare various estimators under a correlated random effects as well as a …

Two Special Spatial Weight Matrices And Their Effects On Estimation And Testing In Spatial Regressions, Badi H. Baltagi, Long Liu

Center for Policy Research

This paper collects in one place some of the consequences of using two special spatial weight matrices in the spatial econometrics literature. The two weight matrices considered are the equal weight spatial matrix and the complete bipartite network. In particular, we summarize the effects of these special weight matrices on the statistical properties of commonly used spatial estimators as well as commonly used tests for spatial dependence.

On The Origins Of Modern East Asia: Knowledge And The Economic Transformation Of Japan And China In The Late 19th Century, Debin Ma, Jared Rubin, Weiwen Yin

ESI Working Papers

This paper revisits the old thesis of the contrasting paths of modernization between Japan and China. It develops a new analytical framework regarding the role of knowledge acquisition (propositional vs. prescriptive) and political centralization as the key drivers behind these contrasting paths. Our model and historical data highlight how the introduction of these elements contributed to Meiji Japan’s decisive turn towards the West and Qing China’s lethargic response to Western imperialism. Our analytical framework, developed from a comparative historical narrative and quantitative data, sheds new light on the importance of knowledge acquisition in enabling developing countries to reach the world’s …

High Dimensional Regression Coefficient Test With High Frequency Data, Dachuan Chen, Long Feng, Per A. Myklang, Lan Zhang

Research Collection School Of Economics

This paper presents the first study on high-dimensional regression coefficient tests with high-frequency financial data. These tests allow the number of regressors to be larger than the number of observations within each estimation block and can grow to infinity in asymptotics. In this paper, the sum-type test and max-type test have been proposed, where the former is suitable for the dense alternative (many small betas) and the latter is suitable for the sparse alternative (a very small number of large betas). By showing the asymptotic independence between the sum-type test and max-type test, the paper proposes a third test – …

Bespoke Realized Volatility: Tailored Measures Of Risk For Volatility Prediction, Andrew John Patton, Haozhe Zhang

Research Collection School Of Economics

Standard realized volatility (RV) measures estimate the latent volatility of an asset price using high frequency data with no reference to how or where the estimate will subsequently be used. This paper presents methods for “tailoring” the estimate of volatility to the application in which it will be used. For example, if the volatility measure will be used in a specific parametric forecasting model, it may be possible to exploit that knowledge to construct a better measure of volatility. We use methods from machine learning to estimate optimal “bespoke” RVs for heterogeneous autoregressive (HAR) and GARCH-X forecasting applications. We apply …

National Income And Marxian Categories, Anwar Shaikh Phd

Archives of Anwar Shaikh

This collection includes.

• Shaikh, A. (n.d.). National income accounts and Marxian categories [Unpublished manuscript].

Math Appendix, Anwar Shaikh Phd

Archives of Anwar Shaikh

This collection includes:

• Shaikh, A. (n.d.). Mathematical appendix outlining use-value, value, direct prices, prices of production, and the iteration procedure [Unpublished manuscript]. Anwar Shaikh, PhD.

Behavioural And Socioeconomic Drivers Underlying Solar Adoption In Egypt’S Cairo And Giza: A Micro-Level Perspective, Maha Elhini, Hoda Hassaballa, Rasha Hammam

Economics

Although Egypt falls within the solar belt, solar energy use on the household level remains very sparse. This research examines the factors driving and hindering households’ willingness to shift from fossil fuels to solar energy. The study evaluates the socioeconomic determinants of households’ willingness to adopt photovoltaic (PV) solar panels, based on a random distribution of 301 questionnaires in Cairo and Giza – two of Egypt’s most densely populated governorates. Two models were used─ a Logistic Model and a Structural Equations Model (SEM) that regresses the willingness to install PV panels on household characteristics. For a deeper analysis of how …

Age Structure And Inflation Dynamics In Pacific Island Economies, August Letlet, Karan Rai, Bhavesh Garg

Bulletin of Monetary Economics and Banking

This study uses the panel of six Pacific Island Countries (PICs) to investigate the relationship between changing age structures and inflation. The findings suggest that both aggregated and disaggregated shares of the working-age population exert disinflationary pressure. This supports the life cycle hypothesis, which postulates that people in their productive years tend to save and produce more than they consume, fostering economic stability and managing inflation. Conversely, the findings indicate that old-age dependency contributes to inflationary pressures. These insights underscore the importance of demographic dynamics in shaping inflation trends and provide valuable guidance for policymakers aiming to maintain price stability.