An Empirical Analysis On Disparities In Access To Healthcare In New York City,
2022
Bryant University
An Empirical Analysis On Disparities In Access To Healthcare In New York City, Olivia Lemire
Empirical Economic Bulletin, An Undergraduate Journal
Healthcare access varies across demographics. Access to healthcare is a strong determinant of health of individuals in New York City. There are a wide range of disparities in health care access for People of Color. Determinants of insurance include race, sex, education status, marital status, whether an individual has children. White individuals, specifically White females have the highest rate of insurance, while Latinx males have the lowest rate of insurance.
Panel Data Analysis: Gender Wage Gap And Macroeconomic Factors Impacts,
2022
Bryant University
Panel Data Analysis: Gender Wage Gap And Macroeconomic Factors Impacts, Yuzhe Lin
Empirical Economic Bulletin, An Undergraduate Journal
This paper study the relationship between the gender wage gaps and macroeconomic factors that would impact them. The paper use panel data with data collected from OCED and World Bank WDI Indicator. The results show that the difference between female and male life expectancy, import, and female labor participation has a positive impact on the gender wage gap. FDI and Women business and law index score has a negative impact the gender wage gap.
Causal Relationship Between Defense Spending And Economic Growth In Countries With Different Income Levels,
2022
Bryant University
Causal Relationship Between Defense Spending And Economic Growth In Countries With Different Income Levels, Kyle Sampson
Empirical Economic Bulletin, An Undergraduate Journal
This paper addresses the relationship between defense spending and economic growth for various economies with different income levels. Using time series annual data, the Granger causality test was conducted. This study looks to determine whether the direction of causality in these economies is different in low−income, middle income, and high−income countries.
Impact Of Corruption On Economic Growth In Central America: A Panel Data Analysis,
2022
Bryant University
Impact Of Corruption On Economic Growth In Central America: A Panel Data Analysis, Ben Bresnee
Empirical Economic Bulletin, An Undergraduate Journal
This paper investigates the possible impact of corruption on economic growth in Central America. This study incorporates information into a model to examine the influence of different factors such as population growth, aid, human capital, gross domestic investment, Corruption, and consumption. This study finds that there is a negative effect of corruption on economic growth in Central America.
Determinants Of Real Median Household Income In The United States Using Time-Series And Panel Data Analysis,
2022
Bryant University
Determinants Of Real Median Household Income In The United States Using Time-Series And Panel Data Analysis, Evan Clark
Empirical Economic Bulletin, An Undergraduate Journal
This paper’s main objective was to explore the determinants of income inequality using real median household income in the United States. This paper utilizes time series analysis to examine the Gini coefficient, trends in the top 1%’s share of wealth, and the relationship between real median income and varying demographics. The Gini coefficient is a summary measure of income inequality in a country. Income inequality is how unevenly income is distributed throughout a population. The results show that there is a negative correlation between the top 1%’s share of total wealth and the United States Gini rating, and that inequality …
A Panel Data Analysis Of Institutional Quality, Fdi, And Public Debts’ Impact On Economic Growth For Asean,
2022
Bryant University
A Panel Data Analysis Of Institutional Quality, Fdi, And Public Debts’ Impact On Economic Growth For Asean, Joshua Kearney
Empirical Economic Bulletin, An Undergraduate Journal
This paper investigates the effects on economic growth driven by institutional quality, foreign direct investment, and public debt while doing a breakdown and comparison between the first and last five nations to join ASEAN as well as a collective analysis of the complete 10 ASEAN. The model used in this paper focuses primarily on the country’s gross domestic product and the domestic growth seen within ASEAN that utilized public debt to fund governmental agendas.
Granger Causality Of The Relationship Between Tourist Flows And Household Expenditure In Jamaica,
2022
Bryant University
Granger Causality Of The Relationship Between Tourist Flows And Household Expenditure In Jamaica, Ben Williams
Empirical Economic Bulletin, An Undergraduate Journal
Keynesians propose that increases in tourist arrivals are associated with an expansion in private spending through the multiplier effect. To test this hypothesis, this study augments a simple consumption function with tourist arrivals and employs the dynamic OLS method to compute the short and long run relationships of the variables. Time series data from 1980-2019 is used to test if tourist arrivals Granger cause household expenditure. The results show that there is no relationship between tourist arrivals and household expenditure in Jamaica and tourist arrivals do not Granger cause household expenditure.
Essays On Socioeconomic Shocks And Policies In Agriculture,
2022
University of Nebraska-Lincoln
Essays On Socioeconomic Shocks And Policies In Agriculture, Wilman Iglesias
Department of Agricultural Economics: Dissertations, Theses, and Student Research
The three chapters of this doctoral dissertation estimate the responses of agricultural productivity, production value of agriculture, and crop supply to some external shocks and policies. Using unique panel datasets for Colombia and the United States, this research provides new insights regarding the responsiveness of agriculture to some socioeconomic effects and related market policies. Chapter 1 studies the impact of armed conflicts in rural areas on legal agricultural productivity in Colombia by using a production function that includes violence shocks such as the forced intra-national displacement of the rural population from 1995 to 2017. Chapter 2 investigates the effect of …
Short-Term Household Economic Stress Effects On Retail Sales In El Paso: 2002-2019,
2022
University of Texas at El Paso
Short-Term Household Economic Stress Effects On Retail Sales In El Paso: 2002-2019, Thomas M. Fullerton Jr., Patricia Arellano-Olague
Border Region Modeling Project
Economic stress indices are beginning to be developed as gauges of business cycle conditions for regional economies. Although the popularity of these metrics is increasing, there have been only a small number of studies that analyze the effectiveness of these tools for monitoring regional economic developments. This effort employs data for one such index that is maintained by The University of Texas at El Paso Border Region Modeling Project. The sample period covers December 2002 through March 2019. Specific components of the index include inflation, unemployment, and housing prices. Estimation results indicate that the effects of any changes in economic …
The Grid Bootstrap For Continuous Time Models,
2022
Singapore Management University
The Grid Bootstrap For Continuous Time Models, Yiu Lim Lui, Weilin Xiao, Jun Yu
Research Collection School Of Economics
This article proposes the new grid bootstrap to construct confidence intervals (CI) for the persistence parameter in a class of continuous-time models. It is different from the standard grid bootstrap of Hansen in dealing with the initial condition. The asymptotic validity of the CI is discussed under the in-fill scheme. The modified grid bootstrap leads to uniform inferences on the persistence parameter. Its improvement over in-fill asymptotics is achieved by expanding the coefficient-based statistic around its in-fill asymptotic distribution that is non-pivotal and depends on the initial condition. Monte Carlo studies show that the modified grid bootstrap performs better than …
Who Withdraws First? Line Formation During Bank Runs,
2022
KRTK KTI
Who Withdraws First? Line Formation During Bank Runs, Hubert János Kiss, Ismael Rodriguez-Lara, Alfonso Rosa-Garcia
ESI Working Papers
We study how lines form in front of banks. In our model, depositors choose first the level of effort to arrive early at the bank and then whether or not to withdraw their deposit. We argue that the informational environment (i.e., the possibility of observing the action of others) affects the emergence of bank runs and should, therefore, influence the line formation. We test this prediction experimentally. While the informational environment has no effect on the line formation when we look at the average level of effort, our findings suggest that the reasons to arrive early at the bank varies …
Agency, Benevolence And Justice,
2022
Mount Holyoke College
Agency, Benevolence And Justice, Prithvijit Mukherjee, J. Dustin Tracy
ESI Working Papers
We test for social norms regarding how Agents should select between risky prospects for Principals, including norms consistent with observations by Adam Smith. We elicit norms from subjects serving as ``impartial spectator[s]" about the choice of risky prospects selected by the Agents. We find strong evidence for the existence of norms, consistent with Smith's observations. Furthermore, we find that Agents are more likely to select more normative options. In contrast, we find that Principals' allocation for bonuses depends on the realization of the risky prospect rather than whether the Agents' choice was consistent with the norm.
Declining Discount Rates In Singapore's Market For Privately Developed Apartments,
2022
Singapore Management University
Declining Discount Rates In Singapore's Market For Privately Developed Apartments, Eric Fesselmeyer, Haoming Liu, Alberto Salvo
Research Collection College of Integrative Studies
Singapore's market for new privately developed apartments exhibits wide quasi-experimental variation in ownership tenure. We develop an empirical model in which prices are decomposed into the utility of housing services and a factor that shifts with asset tenure and the discount rate schedule, which we discipline to vary smoothly over time. We estimate discount rates that decline over time and, to accommodate the observed price differences, fall to 0.5-1.5% p.a. by year 400. The finding that households making sizable transactions do not entirely discount benefits accruing centuries from today is relevant, with the appropriate risk adjustment, for evaluating climate-change investments.
Big Data And Inflation Forecasting In Nigeria: A Text Mining Application.,
2022
Central Bank of Nigeria
Big Data And Inflation Forecasting In Nigeria: A Text Mining Application., M. A. Adebiyi, A. O. Adenuga, T. S. Olusegun, O. O. Mbutor
Economic and Financial Review
The success of monetary policy is substantially predicated on the availability of reliable forecast of inflation. However, the shocks arising from COVID-19 and the Russia-Ukraine war have brought about significant economic uncertainties; thus, necessitating the fine-tuning of existing forecasting models of the Central Bank of Nigeria. This study explores the usefulness of public sentiments obtained using machine learning methods to improve the predictive power of the existing short-term inflation forecasting model (STIF) in Nigeria. Findings indicate that, for all components of inflation, models that include the computed sentiment index perform better in both in-sample and out-sample forecasts than those excluding …
An Exploratory Analysis Of Time Series Econometric Data For Retention Forecasting Using Deep Learning,
2022
Air Force Institute of Technology
An Exploratory Analysis Of Time Series Econometric Data For Retention Forecasting Using Deep Learning, John C. O'Donnell
Theses and Dissertations
Officer retention in the Air Force has been researched many times in an attempt to better predict the personnel needs of the Air Force for the future. There has been previous work done in regards to specific AFSCs and how their retention compares to specific yet similar private sector jobs. This study considers different econometric time series statistics as a feature space and an average Air Force officer separation rate as the response variable for the multivariate time series analysis deep learning techniques. The econometric indicators used in this study are New Business Formations, New Durable Good Orders, and the …
Occupation Density Estimation For Noisy High-Frequency Data,
2022
Duke University
Occupation Density Estimation For Noisy High-Frequency Data, Congshan Zhang, Jia Li, Tim Bollerslev
Research Collection School Of Economics
This paper studies the nonparametric estimation of occupation densities for semimartingale processes observed with noise. As leading examples we consider the stochastic volatility of a latent efficient price process, the volatility of the latent noise that separates the efficient price from the actually observed price, and nonlinear transformations of these processes. Our estimation methods are decidedly nonparametric and consist of two steps: the estimation of the spot price and noise volatility processes based on pre-averaging techniques and in-fill asymptotic arguments, followed by a kernel-type estimation of the occupation densities. Our spot volatility estimates attain the optimal rate of convergence, and …
Conditional Superior Predictive Ability,
2022
Singapore Management University
Conditional Superior Predictive Ability, Jia Li, Zhipeng Liao, Rogier Quaedvlieg
Research Collection School Of Economics
This article proposes a test for the conditional superior predictive ability (CSPA) of a family of forecasting methods with respect to a benchmark. The test is functional in nature: under the null hypothesis, the benchmark’s conditional expected loss is no more than those of the competitors, uniformly across all conditioning states. By inverting the CSPA tests for a set of benchmarks, we obtain confidence sets for the uniformly most superior method. The econometric inference pertains to testing conditional moment inequalities for time series data with general serial dependence, and we justify its asymptotic validity using a uniform non-parametric inference method …
A Posterior-Based Wald-Type Statistic For Hypothesis Testing,
2022
Renmin University of China
A Posterior-Based Wald-Type Statistic For Hypothesis Testing, Yong Li, Xiaobin Liu, Tao Zeng, Jun Yu
Research Collection School Of Economics
A new Wald-type statistic is proposed for hypothesis testing based on Bayesian posterior distributions under the correct model specification. The new statistic can be explained as a posterior version of the Wald statistic and has several nice properties. First, it is well-defined under improper prior distributions. Second, it avoids Jeffreys–Lindley–Bartlett’s paradox. Third, under the null hypothesis and repeated sampling, it follows a χ2" role="presentation" style="box-sizing: border-box; margin: 0px; padding: 0px; display: inline-block; line-height: normal; font-size: 16.2px; word-spacing: normal; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border: 0px; position: relative;">χ2 …
Cryptocurrencies Bandwagon…Fad Wave Or Investment Asset? Firm Level Analysis Of Panel Data In Egypt,
2022
American University in Cairo
Cryptocurrencies Bandwagon…Fad Wave Or Investment Asset? Firm Level Analysis Of Panel Data In Egypt, Yasmine Galal
Theses and Dissertations
The crypto market is growing rapidly and gaining momentum globally. The current study is tackling the impact of the crypto exchanges on the stock market in Egypt. The author consolidated firm level data from DataStream and Cryptocurrency data from CoinDesk to conduct this study over the period 2014-2020. The methodology is based on Fixed Effect and IV-GMM models to study the differential impact across sectors and firm attributes. Our main findings can be highlighted as follows: (a) cryptocurrencies are substitutes to stocks. (b)Two periods are highlighted in the analysis: 2016 post currency devaluation and COVID-19 pandemic, where the adoption was …
Financial Inclusion And Monetary Policy - Investigating The Relationship Between Financial Inclusion And Monetary Policy: The Case Of Egypt,
2022
American University in Cairo
Financial Inclusion And Monetary Policy - Investigating The Relationship Between Financial Inclusion And Monetary Policy: The Case Of Egypt, Salma Maher
Theses and Dissertations
In the past decade, financial inclusion has become an issue of increasing importance to developing nations. This is due to its perceived effects on poverty alleviation, sustainable growth and enhancing monetary policy effectiveness. Unfortunately, there is little empirical research on the effects of financial inclusion. The thesis hopes to contribute to the literature by inspecting the relationship between financial utilization indices and monetary policy in Egypt. The thesis utilizes quarterly data on outstanding deposits and loans from 2004 to 2020 as well as a VAR model – supplemented with an ARDL model – to test the aforementioned relationship. The thesis …
