Economics Commons^™

Understanding Consumer Attitudes Towards Antimicrobial Risk Reducing Practices, Sabrina Gulab

Department of Agricultural Economics: Dissertations, Theses, and Student Research

The emergence and spread of antimicrobial resistance is a natural evolutionary reaction to antimicrobial exposure. However, the misuse and overuse of antimicrobial drugs in human medicine and in agriculture are speeding up the process. Antimicrobials have been used in food-producing animals for therapeutic purposes as well as to promote growth by applying low concentrations in animal feed. Antimicrobial resistant pathogens can enter the food chain through food containing residues of antibiotic-resistant bacteria and cause infections in humans. In the United States, millions of people are infected every year with antimicrobial resistant bacterial diseases causing approximately 23,000 deaths (CDC 2013). This …

Free Trade And Corporate Social Responsibility: Ethical Dilemmas In Global Economic Development, Sarah Papion

Capstone Projects and Master's Theses

Through the lens of the free-trade-optimist, it is black and white: corporations bring jobs, and jobs equal a happy and healthy economy. A major oversight in this neoliberal Utopian ideology is that corporations are not in the business of building communities, nor do they have an interest in keeping their operations stationary enough to allow economic growth to occur over a span of years. Corporations abandon communities as quickly as they arrive to find their next cheap labor hub. Quite contradictory to the original purpose of free trade, economic growth in Free Trade Zones is not long term or secure. …

Efficient Counterfactual Learning From Bandit Feedback, Yusuke Narita, Shota Yasui, Kohei Yata

Cowles Foundation Discussion Papers

What is the most statistically efficient way to do off-policy optimization with batch data from bandit feedback? For log data generated by contextual bandit algorithms, we consider offline estimators for the expected reward from a counterfactual policy. Our estimators are shown to have lowest variance in a wide class of estimators, achieving variance reduction relative to standard estimators. We then apply our estimators to improve advertisement design by a major advertisement company. Consistent with the theoretical result, our estimators allow us to improve on the existing bandit algorithm with more statistical confidence compared to a state-of-theart benchmark.

Aiming For The Goal: Contribution Dynamics Of Crowdfunding, Joyee Deb, Aniko Öry, Kevin R. Williams

Cowles Foundation Discussion Papers

We study reward-based crowdfunding campaigns, a new class of dynamic contribution games where consumption is exclusive. Two types of backers participate: buyers want to consume the product while donors just want the campaign to succeed. The key tension is one of coordination between buyers, instead of free-riding. Donors can alleviate this coordination risk. We analyze a dynamic model of crowdfunding and demonstrate that its predictions are consistent with high-frequency data collected from Kickstarter. We compare the Kickstarter mechanism to alternative platform designs and evaluate the value of dynamically arriving information. We extend the model to incorporate social learning about quality.

Strategically Simple Mechanisms, Tilman Börgers, Jiangtao Li

Cowles Foundation Discussion Papers

We define and investigate a property of mechanisms that we call “strategic simplicity,” and that is meant to capture the idea that, in strategically simple mechanisms, strategic choices require limited strategic sophistication. We define a mechanism to be strategically simple if choices can be based on first-order beliefs about the other agents’ preferences and first-order certainty about the other agents’ rationality alone, and there is no need for agents to form higher-order beliefs, because such beliefs are irrelevant to the optimal strategies. All dominant strategy mechanisms are strategically simple. But many more mechanisms are strategically simple. In particular, strategically simple …

Dynamic Panel Modeling Of Climate Change, Peter C.B. Phillips

Cowles Foundation Discussion Papers

We discuss some conceptual and practical issues that arise from the presence of global energy balance effects on station level adjustment mechanisms in dynamic panel regressions with climate data. The paper provides asymptotic analyses, observational data computations, and Monte Carlo simulations to assess the use of various estimation methodologies, including standard dynamic panel regression and cointegration techniques that have been used in earlier research. The findings reveal massive bias in system GMM estimation of the dynamic panel regression parameters, which arise from fixed effect heterogeneity across individual station level observations. Difference GMM and Within Group (WG) estimation have little bias …

Borderplex Business Barometer, Volume 2, Number 12, Thomas M. Fullerton Jr., Aaron Nazarian, Steven L. Fullerton, Sergio Olivas

Border Region Modeling Project

No abstract provided.

The Pain In Spain: Examining Andalusia's Youth Unemployment Crisis, Bianca D. Lennon

Pell Scholars and Senior Theses

This paper examines the youth unemployment crisis in the autonomous community of Andalusia by assessing employment policies that are currently in place. Since the economic crisis nearly a decade ago, there has been very little change in the high rates of Andalusian youth unemployment, which as a whole, has left the region, the country and the European Union at risk due to a lack of inefficient policies. By utilizing anecdotal evidence paired with facts and figures released by the European Union, recommendations to adjust employment policies such as the Youth Guarantee and PRAEM are given in order to shine a …

Enhanced Mean Ratio Estimators Of Auxiliary Variables Based On The Linear Mixture Of Variances, Damisa A. Saddam, Jamila Abdullahi, Umar Nura

CBN Journal of Applied Statistics (JAS)

This paper incorporates the variance of auxiliary variables to propose three improved ratio estimators of population mean. To enhance the efficiency of the proposed ratio estimators, a linear combination of the population coefficient of variation, kurtosis, skewness and the population variance of the auxiliary variable is harnessed. The properties relating to the suggested estimators are assessed using constant, bias and mean square error. We also provided practical study for illustration and corroboration using a population data consisting of the fixed capital, which is the supporting variable and output of 80 factories which are the study variables. The suggested improved ratio …

Policy Trilemma And Interest Rate Behaviour In Nigeria, Korede Ajogbeje, Oluwatosin Adeniyi, Festus O. Egwaikhide

CBN Journal of Applied Statistics (JAS)

Policy makers face trade-off in dealing with exchange rate management, monetary independence and concerns about capital mobility simultaneously. This study empirically examines the effects of Nigeria’s trilemma policy path on interest rate using data spanning from 1997:Q1 to 2017:Q3. It equally incorporates the role of external reserves in buffering these effects. Stationarity of the series were ascertained with Zivot-Andrew (ZA) structural break unit roots test technique, while the bounds test cointegration approach was used to confirm the cointegrating properties of the variables. We found that capital mobility has significant effect on interest rate in the long run baseline model and …

Non-Performing Loan And Its Effects On Banking Stability: Evidence From National And International Licensed Banks In Niger, Ngozi V. Atoi

CBN Journal of Applied Statistics (JAS)

This study examines Non-Performing Loan (NPL) and its effects on the stability of Nigerian banks with national and international operational licenses from 2014:Q2 to 2017:Q2. A “restricted” dynamic GMM is employed to estimate the macroeconomic and bank specific drivers of NPL for each licensed category. Z-Score is constructed to proxy banking stability, and its response to shocks NPLs is examined in a panel vector autoregressive framework. The results reveal that drivers of NPLs vary across the two categories of banks, but, weighted average lending rate is a vital macroeconomic driver of NPLs for both. The results also confirm the moral …

A Predictive Model For Inflation In Nigeria, Nse S. Udoh, Anietie S. Isaiah

CBN Journal of Applied Statistics (JAS)

The study estimates a dynamic model using quarterly data spanning 1995 to 2016. Four dynamic models: level lagged variables, differenced lagged variables, log-transformed lagged variables and differenced log-transformed lagged variables were considered. The best predictive model was selected based on the Schwarz Information Criterion (SIC) value. From the empirical results, the level form models performed better than the differenced form models. On the basis of model parsimony, the level lagged model was the preferred model among the set of selected models. Predictions obtained from the model indicate that the model is stable as actual interest rate (IR) values, fall well …

Assessing Efficiency In The Pharmaceutical Sector Of Nigeria, Efayena O. Obukohwo, Enoh H. Olele, Patricia N. Buzugbe

CBN Journal of Applied Statistics (JAS)

The study analyses, empirically, the efficiency of the Pharmaceutical sector in Nigeria. Employing a balanced panel of 20 pharmaceutical firms between 2012 and 2016, the paper uses a non-parametric technique (Data Envelopment Analysis) to analyze the firms’ efficiency under the constant returns to scale (CRS) and variable returns to scale (VRS) assumptions. The results obtained shows inefficiency in the pharmaceutical sector as it operates under a decreasing return to scale. This calls for an appropriate policy mix to stimulate the efficiency of the pharmaceutical sector in Nigeria by enhancing research and development (R&D) as ell as regulations within the sector.

Assessing Rice Consumers’ Preferences And Willingness To Pay In Haiti, Cleeford Pavilus

Graduate Theses and Dissertations

In the last 30 years, rice has become the number one food staple in Haiti, and rice imports have outpaced domestic production to supply the country’s increasing rice demand. Policy makers support the claim that increasing local rice supply will not only reduce the dependency on imported rice but also upheave the national economy. However, there is a lack of information on Haitian consumers’ preferences for rice to aid the development of the local rice supply chain. This research aims to bridge that gap by assessing Haitian consumer preferences and willingness to pay for selected rice quality characteristics. The results …

Renewable Portfolio Standards And Environmental Goals, Josh T. Smith

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Renewable portfolio standards (RPS) are one of the most common state policies meant to encourage clean energy use. They require that utilities purchase electricity from certain qualifying electricity generators, usually with no reference to the cost of that electricity. AlthoughRPS are meant to clean up electricity generation through using clean energy sources instead of fossil fuels, they may not do so effectively. Further, some energy companies may lobby state legislators to include their energy sources regardless of their actual environmental benefit. The actual relationship between enacting an RPS and a state’s emissions from energy production is unclear. I explore RPS …

Risk And Return Comparisons Of Pre-Harvest Marketing Strategies, John Leander Turner V

Graduate Theses and Dissertations

This paper analyzes risk and returns associated with pre-harvest corn grain marketing strategies for the state of Arkansas. Farming is characterized by a volatile environment. Numerous risks are taken by producers in order to provide commodities that are bought and sold by various parties in the supply chain. Price, yield, and production costs vary daily and can have large variation between years. Risk and Return Comparisons of Pre-harvest Marketing Strategies examines the effectiveness of using pre-harvest marketing strategies to enhance returns and to mitigate inherent price risk in the Memphis cash corn market. Thirteen strategies are compared to the October …

Form Based Codes And Economic Impacts: A Multivariate Regression Analysis And Case Study, Jacob M. Howard

Master's Theses

After a 100-year history, traditional zoning practices are being challenged as a contributing factor in a number of social, heath and economic problems facing cities in the United States. In this context, form based codes have emerged as a possible alternative way for cities to guide development. Growing out of the New Urbanist movement, form based codes frequently mix uses, allow for a greater variety of housing types and encourage development that is both denser and more compact. Despite an established literature which links land-use regulations, and zoning in particular, to fiscal outcomes, the impacts that form based codes have …

Institutional Adaptation To Water Scarcity In Utah Irrigation Companies, Grant Patty

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

A review of how water institutions in the American West have changed in response to arid conditions as a means of examining the possibility of further change as an adaptation to climate change induced water scarcity. Two institutions are examined, prior appropriation and shares.

While much of the American West operates under prior appropriation formally, irrigators have found Coasian methods of lowering transaction costs by forming irrigation companies. Irrigation companies own appropriative rights and redefine them, typically as shares. Lower transaction costs allow irrigators to trade more freely within companies, though trades between companies still face high transaction costs.

Using …

The Power Law Distribution Of Agricultural Land Size, Lauren Chamberlain

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

This paper demonstrates that the distribution of county level agricultural land size in the United States is best described by a power-law distribution, a distribution that displays extremely heavy tails. This indicates that the majority of farmland exists in the upper tail. Our analysis indicates that the top 5% of agricultural counties account for about 25% of agricultural land between 1997-2012. The power-law distribution of farm size has important implications for the design of more efficient regional and national agricultural policies as counties close to the mean account for little of the cumulative distribution of total agricultural land. This has …

Examining Market Channels For Local Produce: Consumer Affordability And Producer Profitability, Karli A. Salisbury

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

This study examines the price differences of commonly consumed produce between farmers’ markets and grocery stores in Utah. Our first objective is to compare price differences of a basket of produce between farmers’ markets and grocery stores. We compare these price differences in terms of low-income consumer affordability and if an individual can afford a market basket of produce using a combination of Farmers’ Market Nutrition Program (FMNP) dollars and Double Up Food Bucks (DUFB) incentive dollars. Our second objective for this study is to establish the price premiums of individual produce items based on where the produce was sold, …

Semiparametric Maximum Likelihood Inference For Nonignorable Nonresponse With Callbacks, Zhong Guan, Denis H. Y. Leung, Jing Qin

Research Collection School Of Economics

We model the nonresponse probabilities as logistic functions ofthe outcome variable and other covariates in the survey sampling study withcallback. The identification aspect of this callback model is investigated. Semiparametricmaximum likelihood estimators of the parameters in the responseprobabilities are proposed and studied. As a result, an efficient estimator ofthe mean of the outcome variable is constructed using the estimated responseprobabilities. Moreover, if a regression model for conditional mean of the outcomevariable given some covariate is available, then we can obtain an evenmore efficient estimate of the mean of the outcome variable by fitting the regressionmodel using an adjusted least squares …

Mild-Explosive And Local-To-Mild-Explosive Autoregressions With Serially Correlated Errors, Yiu Lim Lui, Weilin Xiao, Jun Yu

Research Collection School Of Economics

This paper firstly extends the results of Phillips and Magdalinos (2007a) by allowing for anti-persistent errors in mildly explosive autoregressive models. It is shown that the Cauchy asymptotic theory remains valid for the least squares (LS) estimator. The paper then extends the results of Phillips, Magdalinos and Giraitis (2010) by allowing for serially correlated errors of various forms in local-to-mild-explosive autoregressive models. It is shown that the result of smooth transition in the limit theory between local-to-unity and mild-explosiveness remains valid for the LS estimator. Finally, the limit theory for autoregression with intercept is developed.

Coarse Revealed Preference, Gaoji Hu, Jiangtao Li, John K. Quah, Rui Tang

Research Collection School Of Economics

We identify necessary and sufficient conditions under which a coarse data set canbe coarsely rationalized by a linear order (or weak order). The conditions are easy tocheck, and efficient algorithms are provided. We apply our theory to investigate theobservable restrictions of several economic models including (1) rational choice withimperfect observation; (2) multiple preferences; (3) monotone multiple preferences; and(4) minimax regret.

Executive Overconfidence And Securities Class Actions, Suman Banerjee, Mark Humphery-Jenner, Vikram Nanda, T. Mandy Tham

Research Collection Lee Kong Chian School Of Business

Overconfident CEOs/senior executives tend to have excessively positive views of their own skills and their company’s future performance. We hypothesize that overconfident managers are more likely to engage in reckless or intentional actions/disclosures that give rise to securities class actions (SCAs). Empirical evidence is supportive: Overconfident CEOs/senior executives increase SCA likelihood, though litigation risk is ameliorated through improved governance, such as following the Sarbanes–Oxley Act of 2002. Post-SCA, companies are less likely to hire an overconfident CEO. Following an SCA, overconfident CEOs appear to moderate behavior and to reduce their litigation risk.

Root-N Consistency Of Intercept Estimators In A Binary Response Model Under Tail Restrictions, Lili Tan, Yichong Zhang

Research Collection School Of Economics

The intercept of the binary response model is irregularly identified when the supports of both the special regressor V and the error term ε are the whole real line. This leads to the estimator of the intercept having potentially a slower than √n convergence rate, which can result in a large estimation error in practice. This paper imposes addition tail restrictions which guarantee the regular identification of the intercept and thus the √n-consistency of its estimator. We then propose an estimator that achieves the √n rate. Finally, we extend our tail restrictions to a full-blown model with endogenous regressors.

Likely Trajectory Of Fed Policy Far From Settled, Thomas Lam, David Fernandez

Research Collection Lee Kong Chian School Of Business

Markets seem to be assuming an almost pre-set path of Fed policy normalization in 2019, including hiking rates and shrinking the balance sheet. In contrast, we see many uncertainties ahead.

Sources Of Health Financing And Health Outcomes: A Panel Data Analysis, Tomoki Fujii

Research Collection School Of Economics

We study the differential impacts of public and private sources of health spending on health outcomes using a triple difference approach. We find that private health spending has on average a higher health-promoting effect than public health spending. This result is robust with respect to the choice of outcome measure and covariates in the regression and driven primarily by the countries with ineffective governments. Once we restrict our sample to countries with effective governments, private health spending is no better than public health spending for improving the health outcome.

Forecasting Large Covariance Matrix With High-Frequency Data: A Factor Correlation Matrix Approach, Yingjie Dong, Yiu Kuen Tse

Research Collection School Of Economics

We propose a factor correlation matrix approach to forecast large covariance matrix of asset returns using high-frequency data. We apply shrinkage method to estimate large correlation matrix and adopt principal component method to model the underlying latent factors. A vector autoregressive model is used to forecast the latent factors and hence the large correlation matrix. The realized variances are separately forecasted using the Heterogeneous Autoregressive model. The forecasted variances and correlations are then combined to forecast large covariance matrix. We conduct Monte Carlo studies to compare the finite sample performance of several methods of forecasting large covariance matrix. Our proposed …

Quantile Treatment Effects And Bootstrap Inference Under Covariate-Adaptive Randomization, Xin Zheng, Yichong Zhang

Research Collection School Of Economics

This paper studies the estimation and inference of the quantile treatment effect under covariate-adaptive randomization. We propose three estimation methods: (1) the simple quantile regression (QR), (2) the QR with strata fixed effects, and (3) the inverse propensity score weighted QR. For the three estimators, we derive their asymptotic distributions uniformly over a set of quantile indexes and show that the estimator obtained from inverse propensity score weighted QR weakly dominates the other two in terms of efficiency, for a wide range of randomization schemes. For inference, we show that the weighted bootstrap tends to be conservative for methods (1) …

The Impact Of Crime And Other Economic Forces On Mexico's Foreign Direct Investment Inflows, Rene Cabral, Andre V. Mollick, Eduardo Saucedo

School of Economics and Finance Faculty Publications

This paper examines the effect of different crimes on Foreign Direct Investment (FDI) inflows into the 32 Mexican states. Using a state-quarter panel data for the period 2005 to 2015, we estimate alternative models of FDI, with fixed effects throughout a flexible lag-lengths methodology and System Generalized Method of Moments (SGMM) models in order to identify the determinants of FDI inflows into the country. The dependent variable in our model is the annual inflow of FDI and the independent variables are state level indicators (real wages and electricity consumption), and macroeconomic forces (the real exchange rate and interest rate). We …