Econometrics Commons^™

Rhode Island Current Conditions Index -- November 2013, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

Estimation Of Time-Varying Adjusted Probability Of Informed Trading And Probability Of Symmetric Order-Flow Shock, Daniel Preve, Yiu Kuen Tse

Research Collection School Of Economics

Recently Duarte and Young (2009) study the probability of informed trading (PIN) proposed by Easley et al. (2002) and decompose it into two parts: the adjusted PIN (APIN) as a measure of asymmetric information and the probability of symmetric order-flow shock (PSOS) as a measure of illiquidity. They provide some cross-section estimates of these measures using daily data over annual periods. In this paper we propose a method to estimate daily APIN and PSOS by extending the method in Tay et al. (2009) using high-frequency transaction data. Our empirical results show that while PIN is positively contemporaneously correlated with variance, …

Limit Theory For An Explosive Autoregressive Process, Xiaohu Wang, Jun Yu

Research Collection School Of Economics

Large sample properties are studied for a first-order autoregression (AR(1)) with a root greater than unity. It is shown that, contrary to the AR coefficient, the least-squares (LS) estimator of the intercept and its t-statistic are asymptotically normal without requiring the Gaussian error distribution, and hence an invariance principle applies. The coefficient based test and the t test have better power for testing the hypothesis of zero intercept in the explosive process than in the stationary process.

Application Of Sgt Family Distributions In Quasi Maximum Likelihood Estimation, Samuel Dodini

Undergraduate Economic Review

In the classical normal linear regression model, ordinary least squares estimators (OLS) will be consistent and achieve the Cramer-Rao lower bound for any unbiased estimators. This paper examines the impact of several other error distributions on the properties of the OLS estimators. Several different types of example data commonly available to students and researchers in economics are used to illustrate the impact of nonnormality, because, in application, the assumption of normality may not hold in empirical testing. Using maximum likelihood, I demonstrate that flexible probability density functions better model the residual distribution of different types of data, which suggests improvements …

Rhode Island Current Conditions Index -- October 2013, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

Nonparametric Regression Estimation With General Parametric Error Covariance: A More Efficient Two-Step Estimator, Liangjun Su, Aman Ullah, Yun Wang

Research Collection School Of Economics

Recently Martins-Filho and Yao (J Multivar Anal 100:309–333, 2009) have proposed a two-step estimator of nonparametric regression function with parametric error covariance and demonstrate that it is more efficient than the usual LLE. In the present paper we demonstrate that MY’s estimator can be further improved. First, we extend MY’s estimator to the multivariate case, and also establish the asymptotic theorem for the slope estimators; second, we propose a more efficient two-step estimator for nonparametric regression function with general parametric error covariance, and develop the corresponding asymptotic theorems. Monte Carlo study shows the relative efficiency loss of MY’s estimator in …

Nonparametric Dynamic Panel Data Models: Kernel Estimation And Specification Testing, Liangjun Su, Xun Lu

Research Collection School Of Economics

Motivated by the first-differencing method for linear panel data models, we propose a class of iterative local polynomial estimators for nonparametric dynamic panel data models with or without exogenous regressors. The estimators utilize the additive structure of the first-differenced model—the fact that the two additive components have the same functional form, and the unknown function of interest is implicitly defined as a solution of a Fredholm integral equation of the second kind. We establish the uniform consistency and asymptotic normality of the estimators. We also propose a consistent test for the correct specification of linearity in typical dynamic panel data …

Detecting Bubbles In Hong Kong Residential Property Market, Matthew S. Yiu, Jun Yu, Lu Jin

Research Collection School Of Economics

This study uses a newly developed bubble detection method (Phillips, Shi, and Yu, 2011) to identify real estate bubbles in the Hong Kong residential property market. Our empirical results reveal several positive bubbles in the Hong Kong residential property market, including one in 1995, a stronger one in 1997, yet another one in 2004, and a more recent one in 2008. In addition, the method identifies two negative bubbles in the data, one in 2000 and the other one in 2001. These empirical results continue to be valid for the mass segment and the luxury segment. However, this method has …

Rhode Island Current Conditions Index -- September 2013, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

Does A Weak Social Fabric Fuel The Predatory Lending Industry? The Link Between Payday Lending Activity And Community Trust, Alyssa H. Curran

Master's Theses - Economics

The purpose of this paper is to address a gap in theory pertaining to the relation between payday lending activity in each state and the level of trust and social capital in that state. This research has been motivated by the fact that no study has explicitly looked at the association between predatory financial institutions and the overall level of trust and social capital in a community. Nor has a nation-wide study been done. Multiple years of data is employed in this study to examine both the concentration of payday lenders in each state and the volume of payday activity …

Heteroskedasticity And Non-Normality Robust Lm Tests Of Spatial Dependence, Badi H. Baltagi, Zhenlin Yang

Research Collection School Of Economics

The standard LM tests for spatial dependence in linear and panel regressions are derived under the normality and homoskedasticity assumptions of the regression disturbances. Hence, they may not be robust against non-normality or heteroskedasticity of the disturbances. Following Born and Breitung (2011), we introduce general methods to modify the standard LM tests so that they become robust against heteroskedasticity and non-normality. The idea behind the robustification is to decompose the concentrated score function into a sum of uncorrelated terms so that the outer product of gradient (OPG) can be used to estimate its variance. We also provide methods for improving …

Semiparametric Estimation In Triangular System Equations With Nonstationarity, Jiti Gao, Peter C. B. Phillips

Research Collection School Of Economics

A system of multivariate semiparametric nonlinear time series models is studied with possible dependence structures and nonstationarities in the parametric and nonparametric components. The parametric regressors may be endogenous while the nonparametric regressors are assumed to be strictly exogenous. The parametric regressors may be stationary or nonstationary and the nonparametric regressors are nonstationary integrated time series. Semiparametric least squares (SLS) estimation is considered and its asymptotic properties are derived. Due to endogeneity in the parametric regressors, SLS is not consistent for the parametric component and a semiparametric instrumental variable (SIV) method is proposed instead. Under certain regularity conditions, the SIV …

Modeling Myopia: Application To Non-Renewable Resource Extraction, Tomoki Fujii

Research Collection School Of Economics

We develop a parsimonious model of myopia with an infinitesimal period of commitment as an extension to a standard dynamic optimization in a continuous-time environment. We clearly distinguish the processes of planning future controls and choosing the current control, which makes the model both analytically and numerically convenient. In its application to a simple non-renewable resource extraction problem, we show that whether the terminal time is free or fixed determines the appropriateness of the approximation to myopic agents by constant discounting. We also show that the expiry of extraction permits may be useful in the presence of myopia.

Shrinkage Empirical Likelihood Estimator In Longitudinal Analysis With Time-Dependent Covariates: Application To Modeling The Health Of Filipino Children, Denis H. Y. Leung, Dylan S. Small, Jing Qin, Min Zhu

Research Collection School Of Economics

The method of generalized estimating equations (GEE) is a popular tool for analysing longitudinal (panel) data. Often, the covariates collected are time-dependent in nature, for example, age, relapse status, monthly income. When using GEE to analyse longitudinal data with time-dependent covariates, crucial assumptions about the covariates are necessary for valid inferences to be drawn. When those assumptions do not hold or cannot be verified, Pepe and Anderson (1994, Communications in Statistics, Simulations and Computation 23, 939–951) advocated using an independence working correlation assumption in the GEE model as a robust approach. However, using GEE with the independence correlation assumption may …

Robust Bayesian Model Selection, Yong Li, Jun Yu

Research Collection School Of Economics

This paper extends the robust Bayesian inference in misspecified models of Müller (2013, Econometrica) to Bayesian model selection of a set of misspecified models. It is shown that when a model is misspecified, under the Kullback-Leibler loss function, the risk associated with Müller's posterior is less (weakly) than that with the original posterior distribution asymptotically. Based on this new result, two new information criteria are proposed for model selection under model misspecification. Sufficient conditions are provided for the risk associated with Müller's posterior to be strictly smaller.

Agricultural Biotechnology, International Trade, General Equilibrium And Efficiency, Comlanvi Martin Konou

College of Business: Dissertations, Theses, and Student Research

Ongoing debates about the adoption of the agricultural biotechnology in the developing countries and EU have dominated the literature in development economics and biosciences. This dissertation considers some environmental, economic and social consequences of the technology from three perspectives: 1) the impact of the ongoing pest density on the performance of the agricultural biotechnology in India; 2) trade consequences of EU restrictive trade policies towards biotech products; and 3) the adoption decision of the technology in the EU and the developing economies.

Agricultural biotechnology appears to be successful in increasing yield and reducing the use of pesticides. However, most studies …

Rhode Island Current Conditions Index -- August 2013, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

Inconsistent Var Regression With Common Explosive Roots, Peter C. B. Phillips, Tassos Magdalinos

Research Collection School Of Economics

Nielsen (Working paper, University of Oxford, 2009) shows that vector autoregression is inconsistent when there are common explosive roots with geometric multiplicity greater than unity. This paper discusses that result, provides a coexplosive system extension and an illustrative example that helps to explain the finding, gives a consistent instrumental variable procedure, and reports some simulations. Some exact limit distribution theory is derived and a useful new reverse martingale central limit theorem is proved.

Testing For Multiple Bubbles 1: Historical Episodes Of Exuberance And Collapse In The S&P 500, Peter C. B. Phillips, Shu-Ping Shi, Jun Yu

Research Collection School Of Economics

Recent work on econometric detection mechanisms has shown the effectiveness of recursive procedures in identifying and dating financial bubbles. These procedures are useful as warning alerts in surveillance strategies conducted by central banks and fiscal regulators with real time data. Use of these methods over long historical periods presents a more serious econometric challenge due to the complexity of the nonlinear structure and break mechanisms that are inherent in multiple bubble phenomena within the same sample period. To meet this challenge the present paper develops a new recursive flexible window method that is better suited for practical implementation with long …

Testing For Multiple Bubbles 2: Limit Theory Of Real Time Detectors, Peter C. B. Phillips, Shu-Ping Shi, Jun Yu

Research Collection School Of Economics

This paper provides the limit theory of real time dating algorithms for bubble detection that were suggested in Phillips, Wu and Yu (2011, PWY) and Phillips, Shi and Yu (2013b, PSY). Bubbles are modeled using mildly explosive bubble episodes that are embedded within longer periods where the data evolves as a stochastic trend, thereby capturing normal market behavior as well as exuberance and collapse. Both the PWY and PSY estimates rely on recursive right tailed unit root tests (each with a di§erent recursive algorithm) that may be used in real time to locate the origination and collapse dates of bubbles. …