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Full-Text Articles in Econometrics

Fight Or Flight? Defending Against Sequential Attacks In The Game Of Siege, Cary Deck, Roman M. Sheremeta Jan 2010

Fight Or Flight? Defending Against Sequential Attacks In The Game Of Siege, Cary Deck, Roman M. Sheremeta

ESI Working Papers

This paper examines theory and behavior in a two-player game of siege, sequential attack and defense. The attacker’s objective is to successfully win at least one battle while the defender’s objective is to win every battle. Theoretically, the defender either folds immediately or, if his valuation is sufficiently high and the number of battles is sufficiently small, then he has a constant incentive to fight in each battle. Attackers respond to defense with diminishing assaults over time. Consistent with theoretical predictions, our experimental results indicate that the probability of successful defense increases in the defenders valuation and it decreases in …

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Affecting Policy By Manipulating Prediction Markets: Experimental Evidence, Cary Deck, Shengle Lin, David Porter Jan 2010

Affecting Policy By Manipulating Prediction Markets: Experimental Evidence, Cary Deck, Shengle Lin, David Porter

ESI Working Papers

Documented results indicate prediction markets effectively aggregate information and form accurate predictions. This has led to a proliferation of markets predicting everything from the results of elections to a company’s sales to movie box office receipts. Recent research suggests prediction markets are robust to manipulation attacks and resulting market outcomes improve forecast accuracy. However, we present evidence from the lab indicating that single‐minded, well‐funded manipulators can in fact destroy a prediction market’s ability to aggregate informative prices and mislead those who are making forecasts based upon market predictions. However, we find that manipulators primarily influence market trades meaning outstanding bids …

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Can Markets Save Lives? An Experimental Investigation Of A Market For Organ Donations, Cary Deck, Erik O. Kimbrough Jan 2010

Can Markets Save Lives? An Experimental Investigation Of A Market For Organ Donations, Cary Deck, Erik O. Kimbrough

ESI Working Papers

Many people die while waiting for organ transplants even though the number of usable organs is far larger than the number needed for transplant. Governments have devised many policies aimed at increasing available transplant organs with variable success. However, with few exceptions, policy makers are reluctant to establish markets for organs despite the potential for mutually beneficial exchanges. We ask whether organ markets could save lives. Controlled laboratory methods are ideal for this inquiry because human lives would be involved when implementing field trials. Our results suggest that markets can increase the supply of organs available for transplant, but that …

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Personality And The Consistency Of Risk Taking Behavior: Experimental Evidence, Cary Deck, Jungmin Lee, Javier Reyes Jan 2010

Personality And The Consistency Of Risk Taking Behavior: Experimental Evidence, Cary Deck, Jungmin Lee, Javier Reyes

ESI Working Papers

Researchers have found that an individual’s risk attitude is not stable across elicitation methods. Results reported by Deck et al. (2009) suggest that personality may help explain the apparent inconsistency, offering support to Borghans et al.’s (2008) argument that economists should consider a multi‐domain approach to measuring risk attitudes. This paper uses laboratory methods to compare risk attitudes as measured by the Holt and Laury (2002) procedure under two different frames. We find that, as in Deck et al. (2009), one’s willingness to take financial risks (as measured by Weber et al. 2002) significantly affects behavior; however the effect is …

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Perfect And Imperfect Real-Time Monitoring In A Minimum-Effort Game, Cary Deck, Nikos Nikiforakis Jan 2010

Perfect And Imperfect Real-Time Monitoring In A Minimum-Effort Game, Cary Deck, Nikos Nikiforakis

ESI Working Papers

This paper presents the results from a minimum-effort game in which individuals can observe the choices of others in real time. We find that under perfect monitoring almost all groups coordinate at the payoff-dominant equilibrium. However, when individuals can only observe the actions of their immediate neighbors in a circle network, monitoring improves neither coordination nor efficiency relative to a baseline treatment without real-time monitoring. We argue that the inefficiency of imperfect monitoring is due to information uncertainty, that is, uncertainty about the interpretation of the information available regarding the actions of others.

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Price Increasing Competition? Experimental Evidence, Cary Deck, Jingping Gu Jan 2010

Price Increasing Competition? Experimental Evidence, Cary Deck, Jingping Gu

ESI Working Papers

Economic intuition suggests that increased competition generates lower prices. However, recent theoretical work shows that a monopolist may charge a lower price than a firm facing a competitor selling a differentiated product. The direction of the price change when competition is introduced is dependent upon the joint distribution of buyer values for the two products. We explore this relationship using controlled laboratory experiments. Our results indicate that the distribution of buyer values does affect prices in a manner consistent with the theoretical predictions, although price increasing competition is rare due in part to overly intense competition regardless of the distribution …

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The Attack And Defense Of Weakest-Link Networks, Dan Kovenock, Brian Roberson, Roman M. Sheremeta Jan 2010

The Attack And Defense Of Weakest-Link Networks, Dan Kovenock, Brian Roberson, Roman M. Sheremeta

ESI Working Papers

This paper experimentally examines behavior in a two-player game of attack and defense of a weakest-link network of targets, in which the attacker‟s objective is to successfully attack at least one target and the defender‟s objective is diametrically opposed. We apply two benchmark contest success functions (CSFs): the auction CSF and the lottery CSF. Consistent with the theoretical prediction, under the auction CSF, attackers utilize a stochastic “guerilla warfare” strategy — in which a single random target is attacked — more than 80% of the time. Under the lottery CSF, attackers utilize the stochastic guerilla warfare strategy almost 45% of …

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Durability, Re-Trading And Market Performance, John Dickhaut, Shengle Lin, David Porter, Vernon Smith Jan 2010

Durability, Re-Trading And Market Performance, John Dickhaut, Shengle Lin, David Porter, Vernon Smith

ESI Working Papers

Key differential structural characteristics of environments studied in previous market experiments have documented large divergences in their observed performance, particularly discrepancies in their convergence to expected equilibrium outcomes. We investigate why this should be so.

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Rhode Island Current Conditions Index — December 2009, Leonard Lardaro Dec 2009

Rhode Island Current Conditions Index — December 2009, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

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Empirical Likelihood In Missing Data Problems, Jing Qin, Biao Zhang, Denis H. Y. Leung Dec 2009

Empirical Likelihood In Missing Data Problems, Jing Qin, Biao Zhang, Denis H. Y. Leung

Research Collection School Of Economics

Missing data is a ubiquitous problem in medical and social sciences. It is well known that inferences based only on the complete data may not only lose efficiency, but may also lead to biased results if the data is not missing completely at random (MCAR). The inverse-probability weighting method proposed by Horvitz and Thompson (1952) is a popular alternative when the data is not MCAR. The Horvitz–Thompson method, however, is sensitive to the inverse weights and may suffer from loss of efficiency. In this paper, we propose a unified empirical likelihood approach to missing data problems and explore the use …

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Rhode Island Current Conditions Index — November 2009, Leonard Lardaro Nov 2009

Rhode Island Current Conditions Index — November 2009, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

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Data Mining As Applied To The Social Sciences, Walter Morris, Dyson School Of Arts And Sciences Nov 2009

Data Mining As Applied To The Social Sciences, Walter Morris, Dyson School Of Arts And Sciences

Cornerstone 3 Reports : Interdisciplinary Informatics

No abstract provided.

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Forecasting Realized Volatility Using A Nonnegative Semiparametric Model, Daniel P. A. Preve, Anders Eriksson, Jun Yu Nov 2009

Forecasting Realized Volatility Using A Nonnegative Semiparametric Model, Daniel P. A. Preve, Anders Eriksson, Jun Yu

Research Collection School Of Economics

This paper introduces a parsimonious and yet flexible nonnegative semiparametric model to forecast volatility. The new model extends the linear nonnegative autoregressive model of Barndorff-Nielsen and Shephard (2001) and Nielsen and Shephard (2003) by way of a Box-Cox transformation. It is semiparametric in the sense that the dependency structure and the distributional form of its error component are left unspecified. The statistical properties of the model are discussed and a novel estimation method is proposed. Its out-of-sample performance is evaluated against a number of standard methods, using data on S&P 500 monthly realized volatilities. The competing models include the exponential …

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Economic Transition And Growth, Peter C. B. Phillips, Donggyu Sul Nov 2009

Economic Transition And Growth, Peter C. B. Phillips, Donggyu Sul

Research Collection School Of Economics

Some extensions of neoclassical growth models are discussed that allow for cross-section heterogeneity among economies and evolution in rates of technological progress over time. The models offer a spectrum of transitional behavior among economies that includes convergence to a common steady-state path as well as various forms of transitional divergence and convergence. Mechanisms for modeling such transitions, measuring them econometrically, assessing group behavior and selecting subgroups are developed in the paper. Some econometric issues with the commonly used augmented Solow regressions are pointed out, including problems of endogeneity and omitted variable bias which arise under conditions of transitional heterogeneity. Alternative …

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Automated Likelihood Based Inference For Stochastic Volatility Models, H. Skaug, Jun Yu Nov 2009

Automated Likelihood Based Inference For Stochastic Volatility Models, H. Skaug, Jun Yu

Research Collection School Of Economics

The Laplace approximation is used to perform maximum likelihood estimation of univariate and multivariate stochastic volatility (SV) models. It is shown that the implementation of the Laplace approximation is greatly simplified by the use of a numerical technique known as automatic differentiation (AD). Several algorithms are proposed and compared with some existing maximum likelihood methods using both simulated data and actual data. It is found that the new methods match the statistical efficiency of the existing methods while significantly reducing the coding effort. Also proposed are simple methods for obtaining the filtered, smoothed and predictive values for the latent variable. …

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Dating The Timeline Of Financial Bubbles During The Subprime Crisis, Peter C. B. Phillips, Jun Yu Nov 2009

Dating The Timeline Of Financial Bubbles During The Subprime Crisis, Peter C. B. Phillips, Jun Yu

Research Collection School Of Economics

A new recursive regression methodology is introduced to analyze the bubble characteristics of various financial time series during the subprime crisis. The methods modify a technique proposed in Phillips, Wu, and Yu (2011) and provide a technology for identifying bubble behavior with consistent dating of their origination and collapse. The tests serve as an early warning diagnostic of bubble activity and a new procedure is introduced for testing bubble migration across markets. Three relevant financial series are investigated, including a financial asset price (a house price index), a commodity price (the crude oil price), and one bond price (the spread …

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Econometric Analysis Of Continuous Time Models: A Survey Of Peter Philip’S Work And Some New Results, Jun Yu Nov 2009

Econometric Analysis Of Continuous Time Models: A Survey Of Peter Philip’S Work And Some New Results, Jun Yu

Research Collection School Of Economics

Econometric analysis of continuous time models has drawn the attention of Peter Phillips for nearly 40 years, resulting in many important publications by him. In these publications he has dealt with a wide range of continuous time models and econometric problems, from univariate equations to systems of equations, from asymptotic theory to nite sample issues, from parametric models to nonparametric models, from identication problems to estimation and inference problems, from stationary models to nonstationary and nearly nonstationary models. This paper provides an overview of Peter Phillips' contributions in the continuous time econometrics literature. We review the problems that have been …

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Stimulated Maximum Likelihood Estimation Of Continuous Time Stochastic Volatility Models, Tore Selland Kleppe, Jun Yu, Hans J. Skaug Nov 2009

Stimulated Maximum Likelihood Estimation Of Continuous Time Stochastic Volatility Models, Tore Selland Kleppe, Jun Yu, Hans J. Skaug

Research Collection School Of Economics

In this paper we develop and implement a method for maximum simulated likelihood estimation of the continuous time stochastic volatility model with the constant elasticity of volatility. The approach do not require observations on option prices nor volatility. To integrate out latent volatility from the joint density of return and volatility, a modified efficient importance sampling technique is used after the continuous time model is approximated using the Euler-Maruyama scheme. The Monte Carlo studies show that the method works well and the empirical applications illustrate usefulness of the method. Empirical results provide strong evidence against the Heston model.

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Bias In The Estimation Of The Mean Reversion Parameter In Continuous Time Models, Jun Yu Nov 2009

Bias In The Estimation Of The Mean Reversion Parameter In Continuous Time Models, Jun Yu

Research Collection School Of Economics

It is well known that for continuous time models with a linear drift standard estimation methods yield biased estimators for the mean reversion parameter both in nite discrete samples and in large in-…ll samples. In this paper, we obtain two expressions to approximate the bias of the least squares/maximum likelihood estimator of the mean reversion parameter in the Ornstein-Uhlenbeck process with a known long run mean when discretely sampled data are available. The first expression mimics the bias formula of Marriott and Pope (1954) for the discrete time model. Simulations show that this expression does not work satisfactorily when the …

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Bayesian Analysis Of Structural Credit Risk Models With Microstructure Noises, Shirley J. Huang, Jun Yu Nov 2009

Bayesian Analysis Of Structural Credit Risk Models With Microstructure Noises, Shirley J. Huang, Jun Yu

Research Collection School Of Economics

In this paper a Markov chain Monte Carlo (MCMC) technique is developed for the Bayesian analysis of structural credit risk models with microstructure noises. The technique is based on the general Bayesian approach with posterior computations performed by Gibbs sampling. Simulations from the Markov chain, whose stationary distribution converges to the posterior distribution, enable exact ¯nite sample inferences of model parameters. The exact inferences can easily be extended to latent state variables and any nonlinear transformation of state variables and parameters, facilitating practical credit risk applications. In addition, the comparison of alternative models can be based on deviance information criterion …

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Explosive Behavior In The 1990s Nasdaq: When Did Exuberance Escalate Asset Values?, Peter C. B. Phillips, Yangru Wu, Jun Yu Nov 2009

Explosive Behavior In The 1990s Nasdaq: When Did Exuberance Escalate Asset Values?, Peter C. B. Phillips, Yangru Wu, Jun Yu

Research Collection School Of Economics

A recursive test procedure is suggested that provides a mechanism for testing explosive behavior, date-stamping the origination and collapse of economic exuberance, and providing valid confidence intervals for explosive growth rates. The method involves the recursive implementation of a right-side unit root test and a sup test, both of which are easy to use in practical applications, and some new limit theory for mildly explosive processes. The test procedure is shown to have discriminatory power in detecting periodically collapsing bubbles, thereby overcoming a weakness in earlier applications of unit root tests for economic bubbles. Some asymptotic properties of the Evans …

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Rhode Island Current Conditions Index — October 2009, Leonard Lardaro Oct 2009

Rhode Island Current Conditions Index — October 2009, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

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A Nonparametric Goodness-Of-Fit-Based Test For Conditional Heteroskedasticity, Liangjun Su, Aman Ullah Oct 2009

A Nonparametric Goodness-Of-Fit-Based Test For Conditional Heteroskedasticity, Liangjun Su, Aman Ullah

Research Collection School Of Economics

In this paper we propose a nonparametric test for conditional heteroskedasticity based on a new measure of nonparametric goodness-of-fit (R2). In analogy with the ANOVA tools for classical linear regression models, the nonparametric R2 is obtained for the local polynomial regression of the residuals from a parametric regression on some covariates. It is close to 0 under the null hypothesis of conditional homoskedasticity and stays away from 0 otherwise. Unlike most popular parametric tests in the literature, the new test does not require the correct specification of parametric conditional heteroskedasticity form and thus is able to detect all kinds of …

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A Semi-Parametric Two-Stage Projection Type Estimator Of Multivalued Treatment Effects, Aurobindo Ghosh Oct 2009

A Semi-Parametric Two-Stage Projection Type Estimator Of Multivalued Treatment Effects, Aurobindo Ghosh

Research Collection School Of Economics

One of the most well documented regularities in evaluation literature like returns to schooling(or funding for programs) is that several factors come together to confound the measurement of its effect. First, in observational studies the true return is often individual specific, and so it is almost impossible to use a traditional treatment effect models with randomly assigned treatment and control groups. This endogeneity in the model further exacerbates our inability to conduct such trials. Second, the problem is not a classical treatment effect measurement problem where we have discrete or more often binary treatments. Hence, techniques like measuring the Local …

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Rhode Island Current Conditions Index — September 2009, Leonard Lardaro Sep 2009

Rhode Island Current Conditions Index — September 2009, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

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Econometric Forecasting And High-Frequency Data Analysis, Yiu Kuen Tse, Yiu Kuen Tse Sep 2009

Econometric Forecasting And High-Frequency Data Analysis, Yiu Kuen Tse, Yiu Kuen Tse

Research Collection School of Economics

This important book consists of surveys of high-frequency financial data analysis and econometric forecasting, written by pioneers in these areas including Nobel laureate Lawrence Klein. Some of the chapters were presented as tutorials to an audience in the Econometric Forecasting and High-Frequency Data Analysis Workshop at the Institute for Mathematical Science, National University of Singapore in May 2006. They will be of interest to researchers working in macroeconometrics as well as financial econometrics. Moreover, readers will find these chapters useful as a guide to the literature as well as suggestions for future research.

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Testing Structural Change In Conditional Distributions Via Quantile Regressions, Liangjun Su, Zhijie Xiao Sep 2009

Testing Structural Change In Conditional Distributions Via Quantile Regressions, Liangjun Su, Zhijie Xiao

Research Collection School Of Economics

We propose tests for structural change in conditional distributions via quantile regressions. To avoid misspecification on the conditioning relationship, we construct the tests based on the residuals from local polynomial quantile regressions. In particular, the tests are based upon the cumulative sums of generalized residuals from quantile regressions and have power against local alternatives at rate n−1/2. We derive the limiting distributions for our tests under the null hypothesis of no structural change and a sequence of local alternatives. The proposed tests apply to a wide range of dynamic models, including time series regressions with m.d.s. errors, as well as …

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Simulation-Based Estimation Of Contingent-Claims Prices, Peter C. B. Phillips, Jun Yu Sep 2009

Simulation-Based Estimation Of Contingent-Claims Prices, Peter C. B. Phillips, Jun Yu

Research Collection School Of Economics

A new methodology is proposed to estimate theoretical prices of financial contingent claims whose values are dependent on some other underlying financial assets. In the literature, the preferred choice of estimator is usually maximum likelihood (ML). ML has strong asymptotic justification but is not necessarily the best method in finite samples. This paper proposes a simulation-based method. When it is used in connection with ML, it can improve the finite-sample performance of the ML estimator while maintaining its good asymptotic properties. The method is implemented and evaluated here in the Black-Scholes option pricing model and in the Vasicek bond and …

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Rhode Island Current Conditions Index — August 2009, Leonard Lardaro Aug 2009

Rhode Island Current Conditions Index — August 2009, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

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Power Maximization And Size Control In Heteroskedasticity And Autocorrelation Robust Tests With Exponentiated Kernels, Yixiao Sun, Peter C. B. Phillips, Sainan Jin Aug 2009

Power Maximization And Size Control In Heteroskedasticity And Autocorrelation Robust Tests With Exponentiated Kernels, Yixiao Sun, Peter C. B. Phillips, Sainan Jin

Research Collection School Of Economics

Using the power kernels of Phillips, Sun and Jin (2006, 2007), we examine the large sample asymptotic properties of the t-test for different choices of power parameter (rho). We show that the nonstandard fixed-rho limit distributions of the t-statistic provide more accurate approximations to the finite sample distributions than the conventional large-rho limit distribution. We prove that the second-order corrected critical value based on an asymptotic expansion of the nonstandard limit distribution is also second-order correct under the large-rho asymptotics. As a further contribution, we propose a new practical procedure for selecting the test-optimal power parameter that addresses the central …

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