Econometrics Commons^™

Effect Of Non-Monetary Incentives On Women's Competitive Inclination: Experimental Evidence From Ancona, Italy, Kalkidan Shebi

Master's Theses

This study investigates how monetary incentives versus non-monetary incentives affect women’s decision to enter a competitive environment. This study was conducted in Ancona Italy, in a controlled laboratory experiment with a total of 60 participants; of which 29 were male and 31 were female. Participants were given mathematical addition problems to solve under alternative incentives. How they received these incentives differed based on their preference to enter or withdraw from the competition. The study also included components that assessed risk preferences and willingness to pay for the non-monetary incentive in the experiment. Results show no significant difference in performance scores …

Savings Groups And Banks: Complements Or Substitutes? Financial Inclusion In Rural Tanzania, Shirleen Rubangura Teta

Master's Theses

Abstract: The substantial increase in the number savings and credit groups as well as microfinance institutions over the past years suggests that individuals in the developing world have progressively become aware of the importance of access to financial services. This study adds to the existing literature on the function of savings and credit groups in places with lower use of formal financial services and inform us whether these groups are a possible substitute or complement for formal financial services (banks) within low-income communities. Based on household data collected in Tanzania in 2013, this paper attempts, using two different estimations, a …

The Investment Casualties Of War: Global Impacts Of Armed Conflict On Foreign Direct Investment Inflows, Reinhard J. Cate Mr.

Master's Theses

Abstract: Involvement in the outbreak of an armed conflict can present a variety of potential risks to an involved nation’s economy. In this paper I examine if one one of those risks, specifically that a new war could scare away foreign investment actually occurs and whether the intensity of the conflict increases or lessens the potential impact. Using ordinary least squares on panel data from 1966 to 2015, I examine the short and long term impacts of armed conflict on global foreign direct investment (FDI) inflows using two measures of conflict intensity: Large conflicts or ‘wars’, with 1000 or more …

Air Pollution, Temperature And Cognitive Performance In The Short Run: Evidence From Women’S Ability To Recall Dates, Ke Yang

Master's Theses

Abstract: Cognitive performance is important to productivity across many fields and potentially correlated to air pollution and extreme temperatures. We study the effects of daily ambient air pollution and monthly temperature on women’s ability of recalling dates across 42 developing countries from 1997 to 2009. We use an estimated natural air pollution data, and calculate the AQI to get an aggregate effect of air pollution. We find that one standard deviation increase in the AQI leads to a statistical decrease in women’s probability to recall dates such as birthdays, marriage date or children’s birthdays by 0.44 percentage point. Furthermore, there …

Does Infant Formula Availability Reduce Breastfeeding?, Ingvild Madsen Lampe

Master's Theses

Abstract: Several key studies highlight the importance of breastfeeding and there is a broad consensus that it plays a crucial role for a child's health and cognitive development. This is especially true for the poor in developing countries, where vulnerable infants' access to proper nutrition is vital. We investigate the effect of introducing infant formula into a market on changes in breastfeeding patterns. Using the Demographic Health Surveys and annual reports from the baby food industry between 1981 and 2002 in 11 tropical countries, we find evidence that import of infant formula significantly reduces breastfeeding duration. The effects are stronger …

Geospatial Modeling Of Vietnamese Fdi, Cuong Nguyen Tien

Theses and Dissertations

This thesis sets a goal to analyze and project geographically disaggregated measures of FDI using aggregate data. We regress the country level FDI with aggregate, fine geospatial data on GDP, urban extent, and risk. By disaggregating the model, we will predict the FDI flow in every 1000 square kilometer area.

Bullying And Human Capital Accumulation: Evidence From The National Longitudinal Survey Of Youth, 1997, Jessica Lum

Theses and Dissertations

Data from the National Longitudinal Survey of Youth, 1997 (NLSY97) is used to study the effect of bullying on human capital accumulation. Findings suggest that adolescent bullying has a significant and negative impact on the highest educational level attained, as well as income earned as an adult.

Dynamic Behavior And Player Types In Majoritarian Multi-Battle Contests, Alan Gelder, Dan Kovenock

ESI Working Papers

In a dynamic contest where it is costly to compete, a player who is behind must decide whether to surrender or to keep fighting in the face of bleak odds. We experimentally examine the game theoretic prediction of last stand behavior in a multi-battle contest with a winning prize and losing penalty, as well as the contrasting prediction of surrendering in the corresponding contest with no penalty. We find varied evidence in support of these hypotheses in the aggregated data, but more conclusive evidence when scrutinizing individual player behavior. Players’ realized strategies tend to conform to one of several “types”. …

Mean-Dispersion Preferences With A Specific Dispersion Function, Mark Schneider, Manuel Nunez

ESI Working Papers

A popular approach to modeling ambiguity aversion is to decompose preferences into the subjective expected utility of an act and an ambiguity index, or an adjustment factor, or a dispersion function. However, in these approaches the dispersion function (or ambiguity index, or adjustment factor) has very little structure imposed on it, leaving the selection of a specific dispersion function in applications to be rather arbitrary. In this note, working in the Anscombe- Aumann (1963) framework, we provide a simpler axiomatic characterization of mean-dispersion preferences which uniquely identifies the dispersion function from the infinite class of possible alternatives. Given the representation, …

Designing Contests Between Heterogeneous Contestants: An Experimental Study Of Tie-Breaks And Bid-Caps In All-Pay Auctions, Aniol Llorente-Saguer, Roman M. Sheremeta, Nora Szech

ESI Working Papers

A well-known theoretical result in the contest literature is that greater heterogeneity decreases performance of contestants because of the “discouragement effect.” Leveling the playing field by favoring weaker contestants through bid-caps and favorable tie-breaking rules can reduce the discouragement effect and increase the designer’s revenue. We test these predictions in an experiment. Our data show that indeed, strengthening weaker contestants through tie-breaks and bid-caps significantly diminishes the discouragement effect. Bid-caps can also improve revenue. Most deviations from Nash equilibrium can be explained by the level-k model of reasoning.

Rhode Island Current Conditions Index -- May 2016, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

On Refined And Robust Inferences For Spatial Econometric Models, Shew Fan Liu

Dissertations and Theses Collection (Open Access)

Asymptotically refined and heteroskedasticity robust inferences are considered for spatial linear and panel regression models, based on the quasi maximum likelihood (QML) or the adjusted concentrated quasi score (ACQS) approaches. Refined inferences are achieved through bias correcting the QML estimators, bias correcting the t-ratios for covariate effects, and improving tests for spatial effects; heteroskedasticity-robust inferences are achieved through adjusting the quasi score functions. Several popular spatial linear and panel regression models are considered including the linear regression models with either spatial error dependence (SED), or spatial lag dependence (SLD), or both SED and SLD (SARAR), the linear regression models with …

Spread Trading In Corn Futures Market, Ryan D. Napier

Graduate Theses and Dissertations

The non-linear relationship between old crop – new crop year spreads in corn futures market and stock-to-use (S-U) ratios published by the United States Department of Agriculture is analyzed. Using a non-linear logarithmic smooth transition regression (LSTR) model, we capture asymmetric market behaviors in high and low S-U regimes. Capturing this relationship and understanding the non-linear aspects of the relationship is of interest of grain merchandizers and speculators in the market. A spread trading strategy is simulated for the sample period, January 1985 through April 2015, to determine if the non-linear relationship is a profitable arbitrage opportunity in the market.

Salience, Framing, And Decisions Under Risk, Uncertainty, And Time, Jonathan W. Leland, Mark Schneider

ESI Working Papers

We propose a comparative model of decision making under risk, uncertainty, and time, in which large differences in payoffs and probabilities or dates of receipt are perceived as salient and overweighted in the evaluation process. The predictions of the model depend on what differences are compared across alternatives which, in turn, depends on how the choice is framed. We formalize a class of matrix-based frames which applies to decisions under risk, uncertainty, and time, and we specify two important types of frames within this class: minimal frames which provide the simplest representation of choice alternatives, and transparent frames which make …

New York Camp Econometrics Xi Program, Center For Policy Research

Camp Econometrics-Programs

No abstract provided.

Rhode Island Current Conditions Index -- April 2016, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

Does Academic Performance Predict Workplace Productivity?, Jodie-Gaye Hunter

Honors Projects in Economics

This research examines if college GPA affects productivity and compensation in the workplace. It uses data collected from a survey of approximately 23,000 Bryant University graduates in different stages of their career. About 10 percent of the alumni surveyed completed the survey. The econometric model used in this study allows estimating the effect of GPA on income after controlling for various demographic and socioeconomic variables, including education, major, occupation, gender, among others. The empirical work provides evidence that GPA has a positive and statistically significant impact on workplace productivity for females, but GPA seems to be a weaker predictor of …

Nonparametric Cointegrating Regression With Endogeneity And Long Memory, Qiying Wang, Peter C. B. Phillips

Research Collection School Of Economics

This paper explores nonparametric estimation, inference, and specification testing in a nonlinear cointegrating regression model where the structural equation errors are serially dependent and where the regressor is endogenous and may be driven by long memory innovations. Generalizing earlier results of Wang and Phillips (2009a, b, Econometric Theory 25, 710-738, Econometrica 77, 1901-1948), the conventional nonparametric local level kernel estimator is shown to be consistent and asymptotically (mixed) normal in these cases, thereby opening up inference by conventional nonparametric methods to a wide class of potentially nonlinear cointegrated relations. New results on the consistency of parametric estimates in nonlinear cointegrating …

Two Essays On Investor Emotions And Their Effects In Financial Markets, Jiancheng Shen

Finance Theses & Dissertations

This dissertation provides empirical evidences on media-based investor emotions in predicting stock return, conditional volatility, and stock and bond return comovements.

We first studied the interaction between US media content and the US stock market returns and volatility. We utilize propriety investor sentiment measures developed by Thompson Reuters MarketPsych. We select four measures of investor sentiment that reflect both pessimism and optimism of small investors. Our objective is two-fold. First, we examine the ability of these sentiment measures to predict market returns. For this purpose, we use dynamic Vector Auto-Regressive models. Second, we are interested in exploring the effects of …

How Do Changes In Gasoline Prices Affect Bus Ridership In The Twin Cities?, Kim Eng Ky

Economics Honors Projects

What determines the likelihood a resident will take public transit? To understand the relative effects of various determinants of ridership, this study focuses on the effects of gasoline prices, controlling for other determinants such as number of workdays in a given month, traffic, unemployment rate, and service quality. As gasoline prices increase, it becomes more expensive to drive a car. Thus, customers would likely shy away from driving and substitute towards the alternatives; one of which is public transportation. This study aims to find the relationship between gasoline prices and bus ridership at a disaggregated level (route type level) in …

Disentangling Greenhouse Warming And Aerosol Cooling To Reveal Earth's Climate Sensitivity, T. Storelvmo, T. Leirvik, U. Lohmann, Peter C. B. Phillips, M. Wild

Research Collection School Of Economics

Earth's climate sensitivity has long been subject to heated debate and has spurred renewed interest after the latest IPCC assessment report suggested a downward adjustment of its most likely range(1). Recent observational studies have produced estimates of transient climate sensitivity, that is, the global mean surface temperature increase at the time of CO2 doubling, as low as 1.3 K (refs 2,3), well below the best estimate produced by global climate models (1.8 K). Here, we present an observation-based study of the time period 1964 to 2010, which does not rely on climate models. The method incorporates observations of greenhouse gas …

Rhode Island Current Conditions Index -- March 2016, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

Asymptotic Power Of The Sphericity Test Under Weak And Strong Factors In A Fixed Effects Panel Data Model, Badi H. Baltagi, Chihwa Kao, Fa Wang

Center for Policy Research

This paper studies the asymptotic power for the sphericity test in a fixed effect panel data model proposed by Baltagi, Feng and Kao (2011), (JBFK). This is done under the alternative hypotheses of weak and strong factors. By weak factors, we mean that the Euclidean norm of the vector of the factor loadings is O(1). By strong factors, we mean that the Euclidean norm of the vector of factor loadings is O(pn), where n is the number of individuals in the panel. To derive the limiting distribution of JBFK under the alternative, we first derive the limiting distribution of its …

The Impact Of Lending Rate On The Manufacturing Sector In Nigeria, D. B. Akpan, D. J. Yilkudi, D. C. Opiah

Economic and Financial Review

The study investigates the impact of lending rate on output of the manufacturing subsector using the Vector Error Correction Model (VECM) and annual data from 1981- 2014. The empirical results indicated that high lending rate had negative impact on manufacturing output in the long-run. This suggests that increase in lending rate undermines manufacturing output, thus retarding growth in the real sector. Specifically, the estimates revealed that a 1.0 per cent increase in lending rate reduces manufacturing output by 0.03 per cent. The study, therefore, recommends the implementation of investment friendly policies that narrows the lending rate by the deposit money …

Shrinkage Estimation Of Common Breaks In Panel Data Models Via Adaptive Group Fused Lasso, Junhui Qian, Liangjun Su

Research Collection School Of Economics

In this paper we consider estimation and inference of common breaks in panel data models via adaptive group fused Lasso. We consider two approaches—penalized least squares (PLS) for first-differenced models without endogenous regressors, and penalized GMM (PGMM) for first-differenced models with endogeneity. We show that with probability tending to one, both methods can correctly determine the unknown number of breaks and estimate the common break dates consistently. We establish the asymptotic distributions of the Lasso estimators of the regression coefficients and their post Lasso versions. We also propose and validate a data-driven method to determine the tuning parameter used in …

Prices, Markups, And Trade Reform, Jan De Loecker, Pinelopi K. Goldberg, Amit K. Khandelwal, Nina Pavcnik

Dartmouth Scholarship

This paper examines how prices, markups, and marginal costs respond to trade liberalization. We develop a framework to estimate markups from production data with multi‐product firms. This approach does not require assumptions on the market structure or demand curves faced by firms, nor assumptions on how firms allocate their inputs across products. We exploit quantity and price information to disentangle markups from quantity‐based productivity, and then compute marginal costs by dividing observed prices by the estimated markups. We use India's trade liberalization episode to examine how firms adjust these performance measures. Not surprisingly, we find that trade liberalization lowers factory‐gate …

Estimation Of Large Dimensional Factor Models With An Unknown Number Of Breaks, Shujie Ma, Liangjun Su

Research Collection School Of Economics

In this paper we study the estimation of a large dimensional factor model when the factor loadings exhibit an unknown number of changes over time. We propose a novel three-step procedure to detect the breaks if any and then identify their locations. In the first step, we divide the whole time span into subintervals and fit a conventional factor model on each interval. In the second step, we apply the adaptive fused group Lasso to identify intervals containing a break. In the third step, we devise a grid search method to estimate the location of the break on each identified …

Model Selection For Explosive Models, Yubo Tao, Jun Yu

Research Collection School Of Economics

This paper examines the limit properties of information criteria for distinguishing between the unit root model and the various kinds of explosive models. The information criteria include AIC, BIC, HQIC. The explosive models include the local-to-unit-root model, the mildly explosive model and the regular explosive model. Initial conditions with different order of magnitude are considered. Both the OLS estimator and the indirect inference estimator are studied. It is found that BIC and HQIC, but not AIC, consistently select the unit root model when data come from the unit root model. When data come from the local-to-unit-root model, both BIC and …

Sieve Instrumental Variable Quantile Regression Estimation Of Functional Coefficient Models, Liangjun Su, Tadao Hoshino

Research Collection School Of Economics

In this paper we consider sieve instrumental variable quantile regression (IVQR) estimation of functional coefficient models where the coefficients of endogenous regressors are unknown functions of some exogenous covariates. We estimate the functional coefficients by the sieve-IVQR technique and establish the uniform consistency and asymptotic normality of the estimators. Based on the sieve estimates, we propose a nonparametric specification test for the constancy of the functional coefficients and study its asymptotic. We conduct simulations to evaluate the finite sample behavior of our estimator and test statistic, and apply our method to study the estimation of quantile Engel curves.

The Effects Of Alcohol Use On Economic Decision Making, Klajdi Bregu, Cary Deck, Lindsay Ham, Salar Jahedi

ESI Working Papers

It is notoriously hard to study the effect of alcohol on decision making, given the selection that takes place in who drinks alcohol and when they choose to do so. In a controlled laboratory experiment, we study the causal effect of alcohol on economic decision making. We examine the impact of alcohol on the following types of tasks: math and logic, uncertainty, overconfidence, strategic games, food choices, anchoring, and altruism. Our results indicate that alcohol consumption, as measured by the blood alcohol concentration (BAC), increases cooperation in strategic settings and altruism in Dictator games. We do not find any effects …