Testing Additive Separability Of Error Term In Nonparametric Structural Models,
2015
Singapore Management University
Testing Additive Separability Of Error Term In Nonparametric Structural Models, Liangjun Su, Yundong Tu, Aman Ullah
Research Collection School Of Economics
This paper considers testing additive error structure in nonparametric structural models, against the alternative hypothesis that the random error term enters the nonparametric model non-additively. We propose a test statistic under a set of identification conditions considered by Hoderlein, Su and White (2012), which require the existence of a control variable such that the regressor is independent of the error term given the control variable. The test statistic is motivated from the observation that, under the additive error structure, the partial derivative of the nonparametric structural function with respect to the error term is one under identification. The asymptotic distribution …
A General Method For Third-Order Bias And Variance Corrections On A Nonlinear Estimator,
2015
Singapore Management University
A General Method For Third-Order Bias And Variance Corrections On A Nonlinear Estimator, Zhenlin Yang
Research Collection School Of Economics
Motivated by a recent study of Bao and Ullah (2007a) on finite sample properties of MLE in the pure SAR (spatial autoregressive) model, a general method for third-order bias and variance corrections on a nonlinear estimator is proposed based on stochastic expansion and bootstrap. Working with concentrated estimating equation simplifies greatly the high-order expansions for bias and variance; a simple bootstrap procedure overcomes a major difficulty in analytically evaluating expectations of various quantities in the expansions. The method is then studied in detail using a more general SAR model, with its effectiveness in correcting bias and improving inference fully demonstrated …
Economic Growth And Development In Sub-Saharan Africa, Asia, And Latin America: The Impact Of Human Capital,
2015
State University of New York Buffalo State
Economic Growth And Development In Sub-Saharan Africa, Asia, And Latin America: The Impact Of Human Capital, Angui D. Macham
Applied Economics Theses
My thesis is that human capital has been important to growth, but has had differential impact in three areas: Sub-Sahara Africa; Asia; and Latin America. I estimated three regional models to determine the impact of human capital on the growth of gross domestic product (GDP) per capita. Each model was estimated using the pooled OLS approach with a sample of 10 countries within each region. I make use of data from the Penn World Table- international comparisons of production data bank. I found that only the African region had statistically significant coefficients for both physical and human capital. For the …
Averaged Instrumental Variables Estimators,
2015
Syracuse University
Averaged Instrumental Variables Estimators, Yoonseok Lee, Yu Zhou
Center for Policy Research
We develop averaged instrumental variables estimators as a way to deal with many weak instruments. We propose a weighted average of the preliminary k-class estimators, where each estimator is obtained using different subsets of the available instrumental variables. The averaged estimators are shown to be consistent and to satisfy asymptotic normality. Furthermore, its approximate mean squared error reveals that using a small number of instruments for each preliminary k-class estimator reduces the finite sample bias, while averaging prevents the variance from inflating. Monte Carlo simulations find that the averaged estimators compare favorably with alternative instrumental-variable-selection approaches when the strength levels …
Downtown Parking Meter Demand In El Paso,
2015
University of Texas at El Paso
Downtown Parking Meter Demand In El Paso, Thomas M. Fullerton Jr., E. Pallarez, Adam G. Walke
Border Region Modeling Project
Prior research establishes that the price of parking in the city centre often impacts the decision to travel downtown and the mode of transportation utilized. Other factors that influence the decision to drive and park downtown have received less attention. This study uses time series data to analyse the demand for metered parking spaces in El Paso, Texas, USA. In addition to meter rates, the determinants of demand include personal income, gasoline prices, and the price of a substitute good, parking garage spaces. Because international bridges connect downtown El Paso to neighbouring Ciudad Juárez, Chihuahua, Mexico, the impacts of trans-boundary …
Modified Qml Estimation Of Spatial Autoregressive Models With Unknown Heteroskedasticity And Nonnormality,
2015
Singapore Management University
Modified Qml Estimation Of Spatial Autoregressive Models With Unknown Heteroskedasticity And Nonnormality, Shew Fan Liu, Zhenlin Yang
Research Collection School Of Economics
In the presence of heteroskedasticity, Lin and Lee (2010) show that the quasi-maximum likelihood (QML) estimator of the spatial autoregressive (SAR) model can be inconsistent as a ‘necessary’ condition for consistency can be violated, and thus propose robust GMM estimators for the model. In this paper, we first show that this condition may hold in certain situations and when it does the regular QML estimator can still be consistent. In cases where this condition is violated, we propose a simple modified QML estimation method robust against unknown heteroskedasticity. In both cases, asymptotic distributions of the estimators are derived, and methods …
On Time-Varying Factor Models: Estimation And Testing,
2015
Singapore Management University
On Time-Varying Factor Models: Estimation And Testing, Liangjun Su, Xia Wang
Research Collection School Of Economics
Conventional factor models assume that factor loadings are fixed over a long horizon of time, which appears overly restrictive and unrealistic in applications. In this paper, we introduce a time-varying factor model where factor loadings are allowed to change smoothly over time. We propose a local version of the principal component method to estimate the latent factors and time-varying factor loadings simultaneously. We establish the limiting distributions of the estimated factors and factor loadings in the standard large N and large T framework. We also propose a BIC-type information criterion to determine the number of factors, which can be used …
Asymptotic Distribution And Finite-Sample Bias Correction Of Qml Estimators For Spatial Dependence Model,
2015
Singapore Management University
Asymptotic Distribution And Finite-Sample Bias Correction Of Qml Estimators For Spatial Dependence Model, Shew Fan Liu, Zhenlin Yang
Research Collection School Of Economics
In studying the asymptotic and finite sample properties of quasi-maximum likelihood (QML) estimators for the spatial linear regression models, much attention has been paid to the spatial lag dependence (SLD) model; little has been given to its companion, the spatial error dependence (SED) model. In particular, the effect of spatial dependence on the convergence rate of the QML estimators has not been formally studied, and methods for correcting finite sample bias of the QML estimators have not been given. This paper fills in these gaps. Of the two, bias correction is particularly important to the applications of this model, as …
A Bayesian Specification Test,
2015
Renmin University of China
A Bayesian Specification Test, Yong Li, Tao Zeng, Jun Yu
Research Collection School Of Economics
A Bayesian test statistic is proposed to assess the model specification after the model is estimated by Bayesian MCMC methods. The proposed approach does not require an alternative model to be specified and is applicable to a variety of models, including latent variable models, structural dynamic choice models, and dynamics stochastic general equilibrium (DSGE) models, for which frequentist methods are difficult to use. The properties of the test statistic are established and its implementation is discussed. The test is easy to use and the test statistic can be calculated from MCMC outputs even when there are latent variables. The method …
Limit Theory For Vars With Mixed Roots Near Unity,
2015
Singapore Management University
Limit Theory For Vars With Mixed Roots Near Unity, Peter C. B. Phillips, Ji Hyung Lee
Research Collection School Of Economics
Limit theory is developed for nonstationary vector autoregression (VAR) with mixed roots in the vicinity of unity involving persistent and explosive components. Statistical tests for common roots are examined and model selection approaches for discriminating roots are explored. The results are useful in empirical testing for multiple manifestations of nonstationarity - in particular for distinguishing mildly explosive roots from roots that are local to unity and for testing commonality in persistence.
Specification Test For Panel Data Models With Interactive Fixed Effects,
2015
Singapore Management University
Specification Test For Panel Data Models With Interactive Fixed Effects, Liangjun Su, Sainan Jin, Yonghui Zhang
Research Collection School Of Economics
In this paper, we propose a consistent nonparametric test for linearity in panel data models with interactive fixed effects. To construct the test statistic, we need to estimate the model under the null hypothesis of linearity and then obtain the restricted residuals. We show that after being appropriately centered and standardized, the test statistic is asymptotically normally distributed both under the null hypothesis and a sequence of Pitman local alternatives. To improve the finite sample performance, we propose a bootstrap procedure to obtain the bootstrap p-values. A small set of Monte Carlo simulations illustrates that our test performs well in …
Characteristics Of Stem Success: A Survival Analysis Model Of Factors Influencing Time To Graduation Among Undergraduate Stem Majors,
2015
Ursinus College
Characteristics Of Stem Success: A Survival Analysis Model Of Factors Influencing Time To Graduation Among Undergraduate Stem Majors, Riley K. Acton
Business and Economics Honors Papers
Producing more graduates in Science, Technology, Engineering, and Mathematics (STEM), as well as ensuring students complete college in a timely manner are both areas of national public policy interest. In order to improve these two outcomes, it is imperative to understand what factors lead undergraduate students to persist in, and ultimately graduate with STEM degrees. This paper uses data from the Beginning Postsecondary Students Longitudinal Study, provided by The National Center of Education Statistics, to model the time to baccalaureate degree among STEM majors using a Cox proportional hazard model.
A Different Approach To Jensen’S Alpha And Its Relationship With Returning Ranking,
2015
Washington University in St. Louis
A Different Approach To Jensen’S Alpha And Its Relationship With Returning Ranking, Tingyu Du Ms.
Undergraduate Economic Review
Based on Michael C. Jensen’s CAPM model (1968), this paper refines it with dummy variables included. It examines if fund manager’s skill is contributing to fund’s performance within a five-year span from June 2009 to June 2014, and if high total return ranking is related to outstanding Jensen’s Alpha. The findings coincide with Jensen’s research results.
New York Camp Econometrics X Program,
2015
Syracuse University
New York Camp Econometrics X Program, Center For Policy Research
Camp Econometrics-Programs
No abstract provided.
Evaluating The Impact Of The American Recovery And Reinvestment Act’S Btop Program On Broadband Adoption,
2015
Pepperdine University
Evaluating The Impact Of The American Recovery And Reinvestment Act’S Btop Program On Broadband Adoption, James Prieger, Janice A. Hauge
School of Public Policy Working Papers
The American Recovery and Reinvestment Act’s Broadband Technology Opportunities Program (BTOP) spent $4.7B during 2009-2013 to, int. al, increase broadband adoption in underserved communities. We characterize the BTOP grants and examine the impact of the awards on broadband adoption. Econometric specifications controlling for award endogeneity related to observed and unobserved county-level factors find that spending is apparently associated with increased broadband adoption. Further investigation, however, reveals that the impacts of spending are nonlinear and even nonmonotonic over the range of county-level BTOP spending in the data. Controlling for trends to reduce the potential for spurious correlation between spending and outcomes …
Rhode Island Current Conditions Index -- April 2015,
2015
University of Rhode Island
Rhode Island Current Conditions Index -- April 2015, Leonard Lardaro
The Rhode Island Current Conditions Index
No abstract provided.
Optimal Jackknife For Unit Root Models,
2015
Capital University of Economics and Business
Optimal Jackknife For Unit Root Models, Ye Chen, Jun Yu
Research Collection School Of Economics
A new jackknife method is introduced to remove the first order bias in unit root models. It is optimal in the sense that it minimizes the variance among all the jackknife estimators of the form considered in Phillips and Yu (2005) and Chambers and Kyriacou (2013) after the number of subsamples is selected. Simulations show that the new jackknife reduces the variance of that of Chambers and Kyriacou by about 10% for any selected number of subsamples without compromising bias reduction. The results continue to hold true in near unit root models. (C) 2014 Elsevier B.V. All rights reserved.
Nonparametric Predictive Regression,
2015
University of Cyprus
Nonparametric Predictive Regression, Ioannis Kasparis, Elena Andreou, Peter C. B. Phillips
Research Collection School Of Economics
A unifying framework for inference is developed in predictive regressions where the predictor has unknown integration properties and may be stationary or nonstationary. Two easily implemented nonparametric F-tests are proposed. The limit distribution of these predictive tests is nuisance parameter free and holds for a wide range of predictors including stationary as well as non-stationary fractional and near unit root processes. Asymptotic theory and simulations show that the proposed tests are more powerful than existing parametric predictability tests when deviations from unity are large or the predictive regression is nonlinear. Empirical illustrations to monthly SP500 stock returns data are provided. …
Sieve Estimation Of Time-Varying Panel Data Models With Latent Structures,
2015
Singapore Management University
Sieve Estimation Of Time-Varying Panel Data Models With Latent Structures, Liangjun Su, Xia Wang, Sainan Jin
Research Collection School Of Economics
We consider the problem of determining the number of factors and selecting the proper regressors in linear dynamic panel data models with interactive fixed effects. Based on the preliminary estimates of the slope parameters and factors a la Bai and Ng (2009) and Moon andWeidner (2014a), we propose a method for simultaneous selection of regressors and factors and estimation through the method of adaptive group Lasso (least absolute shrinkage and selection operator). We show that with probability approaching one, our method can correctly select all relevant regressors and factors and shrink the coefficients of irrelevant regressors and redundant factors to …
A Combined Approach To The Inference Of Conditional Factor Models,
2015
Temple University
A Combined Approach To The Inference Of Conditional Factor Models, Yan Li, Liangjun Su, Yuewa Xu
Research Collection School Of Economics
This article develops a new methodology for estimating and testing conditional factor models in finance. We propose a two-stage procedure that naturally unifies the two existing approaches in the finance literature-the parametric approach and the nonparametric approach. Our combined approach possesses important advantages over both methods. Using our two-stage combined estimator, we derive new test statistics for investigating key hypotheses in the context of conditional factor models. Our tests can be performed on a single asset or jointly across multiple assets. We further propose a novel test to directly check whether the parametric model used in our first stage is …
