Economics Commons^™

Entropic Foundation Of Finance And Physics: Securities Price Dynamics And Quantum Theory, Mohammad Abedi

Electronic Theses & Dissertations (2024 - present)

In many scientific and financial contexts, we must reason and make predictions under conditions of incomplete information. This dissertation develops Entropic Dynamics (ED) as a unified framework for deriving dynamical laws directly from principles of inference. Within this approach, probability distributions represent states of knowledge, and their evolution is determined through entropy maximization subject to relevant constraints. This leads to a novel concept of entropic time and a formulation of dynamics as an inferential process. In this talk, I will present how ED provides a common foundation across multiple domains. In physics, quantum dynamics for particles and scalar fields in …

Essays On Indian Inflation Targeting, Dipankar Biswas

Electronic Theses & Dissertations (2024 - present)

This dissertation explores the efficacy and impact of inflation targeting as the monetary policy framework with a specific focus on India after its formal adoption of the inflation-targeting framework in 2016.

The first chapter focuses on the history of monetary policy framework in India. It discusses, in detail, the different monetary policy frameworks, namely Credit Planning, Flexible Monetary-Targeting, and Multiple-Indicator approaches, adopted by the Reserve Bank of India (RBI) (i.e., the monetary authority of the country), before arriving at the adoption of the inflation-targeting framework. The monetary policy transmission process in India during the different global turmoil segments of the …

Essays On Financial Econometrics And Macro-Financial Forecasting, Zhendong A. Li

Electronic Theses & Dissertations (2024 - present)

The first chapter proposes an innovative supervised learning technique for dimension reduction and forecasting financial and macroeconomic time series in the presence of weak factors that can undermine the effectiveness of traditional Principal Component Analysis (PCA). This approach employs double or multiple supervised learning procedures and is termed ``Supervised Scaled Principal Component Analysis'' (SsPCA). Initially, each predictor is scaled using its predictive slope on the target forecast variable, giving more weight to those with stronger predictive abilities and less to those with weaker ones. Subsequently, utilizing the scaled predictors, we intelligently identify the most informative subset for prediction. This involves …

Testing Mean Stability Of Heteroskedastic Time Series, Violetta Dalla, Liudas Giraitis, Peter C. B. Phillips

Research Collection School Of Economics

Time series models are often fitted to the data without preliminary checks for stability of the mean and variance, conditions that may not hold in much economic and financial data, particularly over long periods. Ignoring such shifts may result in fitting models with spurious dynamics that lead to unsupported and controversial conclusions about time dependence, causality, and the effects of unanticipated shocks. In spite of what may seem as obvious differences between a time series of independent variates with changing variance and a stationary conditionally heteroskedastic (GARCH) process, such processes may be hard to distinguish in applied work using basic …

Shrinkflation And Consumer Demand, Aljoscha Janssen, Johannes Kasinger

Research Collection School Of Economics

This study investigates shrinkflation—the practice of reducing product size while maintaining or slightly changing prices—in the U.S. retail grocery market. We analyze a decade of retail scanner data to assess the prevalence and patterns of product size changes across various product categories. Our findings show that approximately 1.92% of products have been downsized. When comparing total sales, product downsizing is more than five times as prevalent as upsizing. Product downsizing typically occurs without a corresponding decrease in price and is widespread across product categories. Consequently, consumers end up paying more per unit volume. We further find that consumers are more …

Understanding Housing Market Adjustment: Evidence From Population Shocks, Regulation, And Monetary Policy, Michael Tyler Duncan

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation studies how housing markets adjust to demographic shocks, local regulation, and macroeconomic policy through three related essays. Chapter 1 develops a dynamic stochastic general equilibrium (DSGE) model and panel VECM evidence to study how population volatility affects housing prices, rents, and construction. It finds that population shocks generate strong price responses across housing markets and more pronounced effects in tight housing markets and declining regions. Chapter 2 examines local rental registry policies using county-level difference-in-differences analysis and finds limited aggregate effects but meaningful heterogeneity across treatment intensity and market segments. Chapter 3 revisits the macro-housing VAR literature on …

Time-Varying, Frequency-Domain, And Quantile Spillovers Across Energy And Financial Markets Under Climate Policy Uncertainty: Evidence From Tvp-Var-Sv, Bk, And Qvar Models, Md Qamruzzaman, Abdulrahman Alomair, Mohammed Alomair, Sylvia Kor

Student Publications [Scholarly]

The study explores how much area is influenced by climate policy uncertainty (CPU), which adjusts the dynamics of volatility and cross-market spillovers among European electricity, energy commodities, carbon markets, and financial assets, thereby explaining the mechanisms affected by the existing sustainability transition. Using high-frequency market data, we combine an econometric architecture linking a time-varying parameter VAR to stochastic volatility, Barunik–Krehlik frequency-domain connectedness, and quantile-VAR methods, thereby enabling the capture of horizon-specific and regime-dependent risk transmission. The discussion shows that the CPU is a structural amplifying agent of market interconnectedness, which has its most substantial impacts in long-horizon and downside regimes. …

Symmetry, Presumptions, And The Judges Design, Murat C. Mungan

Faculty Scholarship

An instrumental variables approach called ‘the judges design’ used frequently in social sciences relies on an assumption called ‘average monotonicity’. This assumption pertains to how different judges’ (or other classifiers’) decision making processes relate to each other. Violations of it are hard to detect, which raises the importance of it being supported by a plausible theory. Decisions of judges who solve Bayesian decision problems violate average monotonicity as long as the signals they process are symmetric and they do not possess strong presumptions. This result is extended to cases where judge presumptions are symmetrically distributed and may include strong presumptions. …

Do Variations In State Consultation Programs Affect Construction Fatality Rates?, Wayne B. Gray

Economics

Background: Along with its enforcement program, the Occupational Safety and Health Administration (OSHA) has a voluntary consultation program that responds to requests from firms to identify hazards at their workplaces. We studied the effects of this program on fatal work injuries in the construction industry. Methods: We first examined differences across states in their consultation programs using data from 2016 through 2022, during which time 47,418 consultation visits were conducted in construction. These included differences in frequency of consultation visits at construction firms, the average number of hazards identified per visit, and the scope of those visits. We then used …

Three Essays On Personnel And Labor Economics, Chengyuan Hua

Graduate Theses, Dissertations, and Problem Reports (ETD)

Labor market dynamics are not only relevant for worker welfare, but also matter for firm productivity. This dissertation investigates the dynamic interactions between firms and workers, with a particular focus on the determinants and effects of human resources management practices. Using professional sports labor markets as a natural laboratory, I examine three distinct but interconnected mechanisms: managers, hiring decisions, and contract setting.

The first chapter studies how managers matter for worker productivity by exploiting manager moves in Major League Baseball. I first show that manager effects are primarily match-specific using an AKM-type model. Then, staggered difference-in-differences results show positive effects …

Essays On Public Policy, Labor Markets, And Regional Economics, Toby Heaney

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation consists of three empirical essays examining how economic and political outcomes respond to changes in public policy, information, and local economic conditions. Across the three studies, the dissertation applies empirical methods to questions in political economy, economic forecasting, and regional economics, with particular attention to how the effects of economic shocks and policy changes vary across individuals, markets, and geographic areas.

The first essay examines the role of policy salience in electoral outcomes. Building on rational-choice and median-voter models, it argues that voters may respond disproportionately to policies that impose concentrated and highly visible costs, even when those …