Three Essays On Nonparametric Hypothesis Testing And Stochastic Frontier Analysis, 2019 West Virginia University

#### Three Essays On Nonparametric Hypothesis Testing And Stochastic Frontier Analysis, Taining Wang

*Graduate Theses, Dissertations, and Problem Reports*

The first chapter proposes a nonparametric test of significant variables in the partial derivative of a regression mean function. The test is constructed through a variation based measure of the derivative in the directions of the significant variables, with the derivative estimation through a local polynomial estimator. The test is shown to have the asymptotic null distribution and demonstrated to be consistent. The chapter further proposes a wild-bootstrap test, which exhibits the same null distribution regardless of whether the null is valid or not. Through Monte Carlo studies, the test shows encouraging finite sample performances. Through an empirical application, the ...

Philadelphia Inventories Of Estate 1746-1775, 2018 bgs@montana.edu

#### Philadelphia Inventories Of Estate 1746-1775, Billy G. Smith

*The Magazine of Early American Datasets (MEAD)*

PHILADELPHIA INVENTORIES of Estate, 1746-1775 (Project 45). Value of Estates.

Source: Inventories of Estate for Philadelphia, Philadelphia City Archives.

Philadelphia 1754 Tax List For Chestnut, South, And Middle Wards Matched With Taxpayers On 1756 Tax List, 2018 bgs@montana.edu

#### Philadelphia 1754 Tax List For Chestnut, South, And Middle Wards Matched With Taxpayers On 1756 Tax List, Billy G. Smith, Gary B. Nash

*The Magazine of Early American Datasets (MEAD)*

Philadelphia 1754 TAX LIST FOR CHESTNUT, SOUTH, AND MIDDLE WARDS matched with taxpayers on 1756 tax list.

Note: only the tax list for 3 wards in 1754 is still extant. In addition, the names in this file do not include all of the names in 1754 but only the names of taxpayers who were recorded in 1756 as well. (Note: see separate file on MEAD for the full 1756 tax list).

SOURCE: Hannah Benner Roach, comp., "Taxables in Chestnut, Middle and South Wards," The Pennsylvania Genealogical Magazine, volume 21, 151-96.

Money Is More Than Memory, 2018 University of Bologna

#### Money Is More Than Memory, Maria Bigoni, Gabriele Camera, Marco Casari

*ESI Working Papers*

Impersonal exchange is the hallmark of an advanced society and money is one key institution that supports it. Economic theory regards money as a crude arrangement for monitoring counterparts’ past conduct. If so, then a public record of past actions—or memory—should supersede the function performed by money. This intriguing theoretical postulate remains untested. In an experiment, we show that the suggested functional equivalence between money and memory does not translate into an empirical equivalence: money removed the incentives to free ride, while memory did not. Monetary systems performed a richer set of functions than just revealing past behaviors.

Modeling Interactions Between Risk, Time, And Social Preferences, 2018 Chapman University

#### Modeling Interactions Between Risk, Time, And Social Preferences, Mark Schneider

*ESI Working Papers*

Recent studies have observed systematic interactions between risk, time, and social preferences that constitute violations of `dimensional independence' and are not explained by the leading models of decision making. This note provides a simple approach to modeling such interaction effects while predicting new ones. In particular, we present a model of rational-behavioral preferences that takes the convex combination of `behavioral' System 1 preferences and `rational' System 2 preferences. The model provides a unifying approach to analyzing risk, time, and social preferences, and predicts how these preferences are correlated with reliance on System 1 or System 2 thinking.

A Dual System Model Of Risk And Time Preferences, 2018 Chapman University

#### A Dual System Model Of Risk And Time Preferences, Mark Schneider

*ESI Working Papers*

Discounted Expected Utility theory has been a workhorse in economic analysis for over half a century. However, it cannot explain empirical violations of 'dimensional independence' demonstrating that risk interacts with time preference and time interacts with risk preference, nor does it explain present bias or magnitude-dependence in risk and time preferences, or correlations between risk preference, time preference, and cognitive reflection. We demonstrate that these and other anomalies are explained by a dual system model of risk and time preferences that unless models of a rational economic agent, models based on prospect theory, and dual process models of decision making.

Essays On Energy Economics And Environmental Policies, 2018 Central Michigan University

#### Essays On Energy Economics And Environmental Policies, Janak R. Joshi

*Economics ETDs*

This dissertation contains three distinct empirical chapters in applied energy and environmental economics. Each chapter focuses on a unique set of research questions, methods, and data. The unifying motivation therein concerns the development of renewable or alternative low-carbon energy sources as a policy response to the challenges of climate change mitigation, local and regional environmental quality issues, and energy security concerns. Economic and environmental evaluation of the energy policies coupled with understanding energy use patterns is of paramount importance. Together, the empirical chapters focus on demand, supply, and policy aspects of energy markets in the United States (US).

First, Chapter ...

A Snowball's Chance: Debt Snowball Vs. Debt Avalanche, 2018 James Madison University

#### A Snowball's Chance: Debt Snowball Vs. Debt Avalanche, Evan Mcallister

*Senior Honors Projects, 2010-current*

Traditional mathematical analysis states that the most efficient way to pay off interest-bearing consumer debt is to pay the individual debts in order from largest to smallest interest rate. In doing this, the debtor will eliminate the largest sources of interest first, thus shortening the overall time-to-pay. This method is known as the “Debt Avalanche.” The “Debt Snowball” method, popularized in large part by investor-author David Ramsey, recommends that consumers pay debts in order from smallest to largest, regardless of interest rate. In this paper, I conduct an empirical analysis of the Federal Reserve’s Survey of Consumer Finance (SCF ...

Using Response Times To Measure Ability On A Cognitive Task, 2018 Chapman University

#### Using Response Times To Measure Ability On A Cognitive Task, Aleksandr Alekseev

*ESI Working Papers*

I show how using response times as a proxy for effort coupled with an explicit process-based model can address a long-standing issue of how to separate the effect of cognitive ability on performance from the effect of motivation. My method is based on a dynamic stochastic model of optimal effort choice in which ability and motivation are the structural parameters. I show how to estimate these parameters from the data on outcomes and response times in a cognitive task. In a laboratory experiment, I find that performance on a Digit-Symbol test is a noisy and biased measure of cognitive ability ...

Rhode Island Current Conditions Index -- December 2018, 2018 University of Rhode Island

#### Rhode Island Current Conditions Index -- December 2018, Leonard Lardaro

*The Rhode Island Current Conditions Index*

No abstract provided.

Mild-Explosive And Local-To-Mild-Explosive Autoregressions With Serially Correlated Errors, 2018 Singapore Management University

#### 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.

Semiparametric Maximum Likelihood Inference For Nonignorable Nonresponse With Callbacks, 2018 Indiana University at South Bend

#### 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 ...

Root-N Consistency Of Intercept Estimators In A Binary Response Model Under Tail Restrictions, 2018 Yunnan University

#### 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.

Quantile Treatment Effects And Bootstrap Inference Under Covariate-Adaptive Randomization, 2018 Singapore Management University

#### 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 ...

Forecasting Large Covariance Matrix With High-Frequency Data: A Factor Correlation Matrix Approach, 2018 Singapore Management University

#### 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 ...

On Booms That Never Bust: Ambiguity In Experimental Asset Markets With Bubbles, 2018 Chapman University

#### On Booms That Never Bust: Ambiguity In Experimental Asset Markets With Bubbles, Brice Corgnet, Roberto Hernán-González, Praveen Kujal

*ESI Working Papers*

We study the effect of ambiguity on the formation of bubbles and on the occurrence of crashes in experimental asset markets à la Smith, Suchanek, and Williams (1988). We extend their framework to an environment where the fundamental value of the asset is ambiguous. We show that, when the fundamental value is ambiguous, asset prices tend to be lower than when it is risky although bubbles form in both the ambiguous and the risky environments. Additionally, bubbles do not crash in the ambiguous case whereas they do so in the risky one. These findings regarding depressed prices and the absence ...

Determinants Of Parking Fees On College Campuses, 2018 Murray State University

#### Determinants Of Parking Fees On College Campuses, Hannah Huckeby

*Posters-at-the-Capitol*

The price of parking has recently been a hot topic around the Murray area, especially among the college students. Due to the drastic increase in parking pass prices there has been an abundant amount of discussion surrounding this idea of parking being a public good. Many individuals have been outraged which has brought up the questions of why there is a price tag on something that many people consider a public good. With that being said, this paper is going to take a deeper look into parking specifically pertaining to college campuses but also in the cities surrounding these institutions ...

Conditional Independence In A Binary Choice Experiment, 2018 Chapman University

#### Conditional Independence In A Binary Choice Experiment, Nathaniel Wilcox

*ESI Working Papers*

Experimental and behavioral economists, as well as psychologists, commonly assume conditional independence of choices when constructing likelihood functions for structural estimation. I test this assumption using data from a new experiment designed for this purpose. Within the limits of the experiment’s identifying restriction and designed power to detect deviations from conditional independence, conditional independence is not rejected. In naturally occurring data, concerns about violations of conditional independence are certainly proper and well-taken (for well-known reasons). However, when an experimenter employs contemporary state-of-the-art experimental mechanisms and designs, the current evidence suggests that conditional independence is an acceptable assumption for analyzing ...

Selection In The Lab: A Network Approach, 2018 Chapman University

#### Selection In The Lab: A Network Approach, Aleksandr Alekseev, Mikhail Freer

*ESI Working Papers*

We study the selection problem in economic experiments by focusing on its dynamic and network aspects. We develop a dynamic network model of student participation in a subject pool, which assumes that students' participation is driven by the two channels: the direct channel of recruitment and the indirect channel of student interaction. Using rich recruitment data from a large public university, we find that the patterns of participation and biases are consistent with the model. We also find evidence of both short- and long-run selection biases between males and females, as well as between cohorts of students. Males tend to ...

The Econometric Analysis Of The Factors Affecting The Revenue Of Bangkok Port, 2018 World Maritime University

#### The Econometric Analysis Of The Factors Affecting The Revenue Of Bangkok Port, Viyada Suriyakul Na Ayudhaya, Praew Ritthirungrat

*World Maritime University Dissertations*

No abstract provided.