Econometrics Commons^™

Determinants Of Catastrophic Health Expenditure Of Households In Indonesia, Rafa Fayza Afrizal, Novira Hasya, Faticha Putri Harda, Wildan Avif Alfathin, Vanissa Nur Latifah, Maxent Rael Nainggolan, Fadillah Rahmah Jaelani, Estro Dariatno Sihaloho

Jurnal Ekonomi Kesehatan Indonesia

The need for healthcare services due to illness is unpredictable, thus burdening patients economically and posing a risk of catastrophic events. The percentage of households with catastrophic health expenditures is defined as out-of-pocket payments exceeding 10% of the household’s capacity to pay for healthcare. Increasing catastrophic expenditure costs can further deteriorate the household’s financial condition. This study analyzes the determinants of catastrophic health expenditures in Indonesian households. A total of 12,892 household samples from the cross-sectional Indonesian Family Life Survey (IFLS) wave 5 (2014) were used in this study. Using a logistic regression model, this study aims to identify various …

The Dynamics Of Word-Of-Mouth Marketing: An Agent-Based Modeling Approach To Message Credibility And Consumer Engagement, Ali Nasirzonouzi, Carlos Gershenson

Northeast Journal of Complex Systems (NEJCS)

Word-of-mouth (WOM) marketing is a critical factor in the dissemination of information and adoption of products in social networks. This paper investigates the impact of two important factors message credibility and consumer engagement on WOM adoption dynamics using agent-based modeling (ABM). This study proposes a simple qualitative model to investigate how these factors influence adoption rates through both broadcast communication and peer-to-peer influence by simulating interactions on a spatially clustered network.

The findings show that increased message credibility significantly boosts adoption, achieving a balance between broadcast and social mechanisms. Also, consumer engagement primarily affects the adoption mechanism, shifting the effect …

Preferences Or Confounders? Persistent Gender Gap In Competition Across Four Continents, Natalia I. Valdez-Gonzalez, Adriana Gaviria, Antonio M. Espin

ESI Working Papers

The gender gap in willingness to compete is thought to underlie enduring inequalities in education, career choice, and labor market outcomes. Yet it remains unclear whether the gap reflects true preference differences or results from confounding factors such as task stereotypes, overconfidence, or risk aversion. We test gender differences in competition entry across eight pre-registered studies in seven countries spanning four continents (Dominican Republic, Ivory Coast, El Salvador, Madagascar, Spain, The Philippines, and Uruguay; total n = 1,833), using an experimental design that systematically minimizes these confounds: (i) based on a non-male-stereotyped task (the Reading the Mind in the Eyes …

Environmental-Friendly Consumption: Measuring The Impact Of Lifestyle On Household Carbon Emissions, Faisal Madjid Alyasa, Adam Hawari, Afif Akbar Syawala, Estro Dariatno Dariatno Sihaloho

Economics and Finance in Indonesia

In 2060, Indonesia aims for a clean, emissions-free society. However, achieving this goal requires understanding how lifestyle choices affect household carbon emissions. This study, based on data from the Indonesian Family Life Survey 2014, examines the impact of different diets (plant-based, vegetarian, Mediterranean, full meat-based, and mixed) on carbon emissions. Using Ordinary Least Square Panel Data Regression, the research finds that plant-based and vegetarian diets have a lower carbon footprint compared to mixed and full meat-based diets. The findings suggest that transitioning to more environmentally friendly consumption patterns can help reduce carbon emissions and benefit the environment.

Welfare Implication Of Alternative Tax Rates Adjustment Policy In Nigeria: A Dsge Analysis, Umar B. Ibrahim, Isah F. Abubakar

CBN Journal of Applied Statistics (JAS)

This study sets out to determine the desirable policy adjustment in the tax rate for Nigeria that ensures the least welfare cost. A calibrated small open-economy New Keynesian Dynamic Stochastic General Equilibrium (NKDSGE) model of the Nigerian economy is applied to achieve this objective. Within this framework, we examined the impact of an increase in value-added tax (VAT) rate from 7.5 to 15 percent on key macroeconomic variables relative to the impact of an increase in company income tax (CIT) rate from 30 to 35 percent on macroeconomic variables. Furthermore, we examined the welfare costs of the increases in the …

Price Coordination Under List Pricing And Discounting: Experimental Evidence, Roberto Hernán González, Praveen Kujal, Miguel Angel Ropero-García, Román Fossati

ESI Working Papers

List-pricing and discounting is common in both retail and wholesale markets. Its interpretation amongst competition authorities varies from being procompetitive to collusion facilitating. We experimentally test how list pricing and discounting impact prices in a capacity constrained Bertrand-Edgeworth duopoly with symmetric and asymmetric firms facing constant marginal costs. We find that, relative to the symmetric baseline experiments, list pricing and discounting generate higher equilibrium prices for (symmetric) firms. Prices in the asymmetric-list price duopoly are also higher, however, the effect is much smaller than under symmetry. The introduction of asymmetry results in higher prices. The smaller firms gain more from …

Econometric Analysis Of Social Interactions And Decision-Making, Shuo Qi

Economics Theses and Dissertations

This dissertation explores the econometric analysis of social interactions and decision-making. The first two chapters advance econometric methodology by addressing key challenges in identifying and estimating peer effects, specifically tackling issues related to partial network data and endogenous link formation. The third chapter presents an empirical analysis of parental over-aspiration and its impact on children's academic outcomes, using monotone instrumental variables constructed from social network structures.

Chapter 1 is "Identification and Estimation of Discrete Choice Models with Spillovers Using Partial Network Data". This paper investigates peer effects in discrete choice models with incomplete data on social links. We consider an …

Mitigating Agricultural Income Volatility: Evidence From Crop Insurance Adoption In India, Annoushqa Bobde

Master's Theses

Income volatility resulting from crop loss presents a significant threat to rural livelihoods in India, where nearly half of the workforce is employed in agriculture. This study examines the causal impact of crop insurance uptake on farm income using nationally representative data from the 70th and 77th rounds of the National Sample Survey, merged with satellite-derived climate data and Harmful Degree Days (HDD), which is used as a proxy for crop-damaging temperature. To address selection bias in insurance enrollment, Propensity Score Matching, Inverse Propensity Weighting, and a Two-Way Fixed Effects model are used. Results show that insurance uptake is associated …

The Long-Term Effect Of Universities On Local Technology, Dafina Rizvanolli

Master's Theses

This paper studies the long-term effects of universities on local economic complexity, contributing to new evidence on how higher education institutions shape local productive capabilities over time. While extensive research documents universities’ positive impact on development, fundamental questions remain about the mechanisms through which they operate. Our study employs the Economic Complexity Index (ECI), a measure that captures the diversity and ubiquity of regional economic structures, to provide novel insights into universities’ influence on local economies. Building on Andrews (2023), we exploit historical natural experiments in university site selection during the 19^th and 20^th centuries in the U.S. …

The Hidden Logic Behind Migration And Success, Elsa Russom

Master's Projects and Capstones

This research paper explores the hidden drivers of financial success among Eritrean migrants navigating uncertainty, displacement, and limited institutional access. Drawing on original survey data collected from diaspora communities across East African host countries, I apply a mixed-methods framework combining ordinal and binary logistic regression, random forest classification, bootstrapping, and Bayesian causal mediation; to identify the structural and cultural variables most predictive of financial stability. The findings reveal that participation in Ekub, a traditional rotating savings association, and engagement in communal support systems are the strongest predictors of financial success, outperforming conventional factors such as age, education, or employment status. …

Behavioral Responses To The Medicare Part D Coverage Gap And Its Closure, Selene Urbatsch

Theses and Dissertations

The author examines how exposure to the Medicare Part D coverage gap affects future prescription drug use and whether the closure of the gap under the Affordable Care Act (ACA) altered beneficiary behavior. Using 2007–2019 MEPS data, the analysis compares Part D enrollees to similarly aged, privately insured individuals, producing first-differences and difference-in-differences estimates. Before the ACA, exposure to the gap was associated with 4.9 fewer prescription fills relative to comparable non-Part D individuals. After the ACA, the effect fell to a reduction of 2.2 generic fills, with no significant decline in branded use. Sudden out-of-pocket cost increases prompted sharp …

Elected To Die: The Effect Of Municipal Assassinations On Remittances In Mexico, Victor M. Mendez Robles

Latin American Studies Honors Projects

This paper looks at localized violence in Mexico through both a qualitative and quantitative approach. Looking at some motivating factors behind violence against political institutions at the municipal level in Mexico. In addition, this paper looks at the relationship between assassinations of municipal mayors in Mexico to see if their assassination leads to changes in remittances in those municipalities in the following periods. This paper uses various difference in difference models to come to its conclusion. There is suggestive evidence of a relationship between remittance growth in municipalities in the periods following an assassination of a mayor currently in office.

The Effect Of Employment Shocks On Earnings: Evidence From The Covid-19 Pandemic, Giovanny A. Martinez Rodriguez

Economics Honors Projects

Economic research has documented significant short, medium, and long-term labor market consequences following recessions (Goodman & Mance, 2011; Yagan, 2017; Farber, 2011). The Covid-19 recession triggered an unprecedented economic downturn, disproportionately impacting employment in industries with high concentrations of low-income and female workers. In this paper, I leverage the substantial spatial variation in employment shocks to examine their effects on earnings and employment outcomes in both the short and medium terms. I find remarkably stable trends in earnings and employment when comparing counties experiencing high employment shocks with those that did not. Although these results differ from previous recessions, they …

Estimation And Testing In A Fixed Effects Panel Data Model With Serially Correlated Error Component Disturbances, Badi H. Baltagi, Long Liu

Center for Policy Research

This paper revisits the fixed effects panel data model with AR(1) remainder disturbances and provides a bias corrected estimator for the serial correlation coefficient based on first differencing the panel regression to get rid of the fixed effects. This bias corrected estimator builds upon the estimator proposed by Han and Phillips (2010). Asymptotic properties as well as Monte Carlo results are provided that show the better performance of this new proposed bias corrected estimator. This is extended to the unbalanced panel data case and also illustrated using the empirical application in Donohue and Levitt (2001).

Essays On Financial Econometrics, Yuexuan Ren

Dissertations and Theses Collection (Open Access)

This dissertation consists of two papers that contribute to the theory of estimation, inference, and prediction using high-frequency financial data. In the first chapter, time-varying betas from return regressions, commonly used to measure systematic financial market risk, are studied using high-frequency data. A novel econometric framework is introduced for the nonparametric estimation of these betas. The optimal finite-sample inference, in a well-defined sense, is enabled by the local Gaussian property of a generic continuous-time benchmark model under the fixed-k framework. Furthermore, a uniform functional inference theory for spot regressions is developed. The proposed methodology is broadly applicable in empirical settings, …

The Impact Of Green Credit Ratio On Return On Assets, Liao Wang

All Theses

How does the green credit ratio affect a bank return on assets? This study uses panel data from 2012 to 2019, covering 18 large banks in China, including 6 state-owned banks and major 12 important joint-stock and city commercial banks. I use regression models to measure the effect of the green credit ratio (GCR) on return on assets (ROA) and return on equity (ROE), and we focus on how bank ownership and fixed effects matters.

The results show that the effect of green credit ratio (GCR) on ROA depends on the model design. When bank fixed effects are included, green …

Borders And Burdens: Three Essays On Inter-Jurisdictional Tax Policy In America, Benjamin Jaros

All Dissertations

Individuals, firms, and governments make decisions about the tradeoffs of different tax policies at jurisdictional borders, such as those between states, nations, or local governments; those choices shape the burden of taxation. This dissertation examines the effects of three distinct changes in tax policy: for state corporate income tax apportionment, colonial tobacco tariffs, and tax abatements for data centers. Chapter 1 examines how changes to the corporate income tax base formula affect state tax revenues. Chapter 2 analyzes how colonial era export and import tariffs on tobacco impacted trade volumes, raised revenue, and the distribution of the tax burden between …

Valuation Of Crypto Assets On Blockchain With Deep Learning Approach, Xi Zhou, Yin Pang, Esther Ying Yang, Jing Rong Goh, Shaun Shuxun Wang

Research Collection School Of Economics

With the rapid expansion of the blockchain ecosystem, crypto asset valuation has become an essential area of study for investors and institutions. Here, we introduce a deep learning framework that was designed to predict the value index of crypto assets by integrating intrinsic value variables and decomposing market prices into value and sentiment components. The Crypto Asset Value-indexing Model (CAVM) was applied to Ethereum’s cryptocurrency ETH to demonstrate its effectiveness. Four econometric tests were conducted to verify the informativeness, predictiveness, and reasonability of the generated value indices, as well as the efficiency of price decomposition. Our findings suggested that the …

Limit Theory For Local Polynomial Estimation Of Functional Coefficient Models With Possibly Integrated Regressors, Ying Wang, Peter C. B. Phillips

Research Collection School Of Economics

Limit theory for functional coefficient cointegrating regression was recently found to be considerably more complex than earlier understood. The issues were explained and correct limit theory derived for the kernel weighted local level estimator in Phillips and Wang (2023b). The present paper provides complete limit theory for the general kernel weighted local th order polynomial estimators of the functional coefficient and the coefficient derivatives. Both stationary and nonstationary regressors are allowed. Implications for bandwidth selection are discussed. An adaptive procedure to select the fit order  is proposed and found to work well. A robust -ratio is constructed following the new …

Mortgage Default Classification Modeling For Variable Analysis, Brendan R. Goggins

Honors College Theses

The financial crisis of the early 2000’s is a prime example of the severe consequences that mortgage default and borrower insolvency can have on economies at large. Mortgage default specifically is a prime case with the popularization of mortgage backed securities and the commonality of this loan structure. Multiple hypotheses and models have been formed to understand the reasons, causes, and consequences of mortgage default. This paper uses both machine learning and statistical classification models to inform an understanding of the variables most significant and impactful to the default outcome of mortgages. Consideration is given to both loan-level microeconomic variables …