Econometrics Commons^™

Rhode Island Current Conditions Index -- August 2014, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

Nonlinearity Induced Weak Instrumentation, Ioannis Kasparis, Peter C. B. Phillips, Tassos Magdalinos

Research Collection School Of Economics

In regressions involving integrable functions we examine the limit properties of instrumental variable (IV) estimators that utilise integrable transformations of lagged regressors as instruments. The regressors can be either I(0) or nearly integrated (NI) processes. We show that this kind of nonlinearity in the regression function can significantly affect the relevance of the instruments. In particular, such instruments become weak when the signal of the regressor is strong, as it is in the NI case. Instruments based on integrable functions of lagged NI regressors display long range dependence and so remain relevant even at long lags, continuing to contribute to …

Monetary-Fiscal Policy Interaction: An Empirical Analysis In Egypt, Sahar M. Abdel-Haleim, Mohamed Hassan, Lobna M. Abdel-Latif

Business Administration

This paper examines the effect of the developments introduced since 2003 in Egypt on the nature of interaction of monetary and fiscal policies and the achievement of macroeconomic objectives. Utilizing the Structural Vector Autoregression (SVAR) approach, the dynamic interaction of policies and their effects on macroeconomic aggregates are investigated. The findings support the success of the developments in eliminating the fiscal dominance. However, coordination between policies is still weak to achieve the macroeconomic stabilization objectives. The results also prove the conventional Keynesian effect of fiscal policy on real GDP. However, the fiscal multiplier is very small. Likewise, expansionary monetary policy …

A Combined Approach To The Inference Of Conditional Factor Models, Yan Li, Liangjun Su, Yuewu Xu

Research Collection School Of Economics

This paper 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 …

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 a large dimensional panel data model with interactive fixed effects. Both lagged dependent variables and conditional heteroskedasticity of unknown form are allowed in the model. We estimate the model under the null hypothesis of linearity to obtain the restricted residuals which are then used to construct the test statistic. We show that after being appropriately centered and standardized, the test statistic is asymptotically normally distributed under both the null hypothesis and a sequence of Pitman local alternatives by using the concept of conditional strong mixing that was recently …

Jackknife Model Averaging For Quantile Regressions, Xun Lu, Liangjun Su

Research Collection School Of Economics

In this paper, we consider the problem of frequentist model averaging for quantile regression (QR) when all the M models under investigation are potentially misspecified and the number of parameters in some or all models is diverging with the sample size n. To allow for the dependence between the error terms and the regressors in the QR models, we propose a jackknife model averaging (JMA) estimator which selects the weights by minimizing a leave-one-out cross-validation criterion function and demonstrate that the jackknife selected weight vector is asymptotically optimal in terms of minimizing the out-of-sample final prediction error among the given …

Shrinkage Estimation Of Regression Models With Multiple Structural Changes, Junhui Qian, Liangjun Su

Research Collection School Of Economics

In this paper we consider the problem of determining the number of structural changes in multiple linear regression models via group fused Lasso (least absolute shrinkage and selection operator). We show that with probability tending to one our method can correctly determine the unknown number of breaks and the estimated break dates are sufficiently close to the true break dates. We obtain estimates of the regression coefficients via post Lasso and establish the asymptotic distributions of the estimates of both break ratios and regression coefficients. We also propose and validate a data-driven method to determine the tuning parameter. Monte Carlo …

Identifying Latent Structures In Panel Data, Liangjun Su, Zhentao Shi, Peter C. B. Phillips

Research Collection School Of Economics

This paper provides a novel mechanism for identifying and estimating latent group structures in panel data using penalized regression techniques. We focus on linear models where the slope parameters are heterogeneous across groups but homogenous within a group and the group membership is unknown. Two approaches are considered — penalized least squares (PLS) for models without endogenous regressors, and penalized GMM (PGMM) for models with endogeneity. In both cases we develop a new variant of Lasso called classifier-Lasso (C-Lasso) that serves to shrink individual coefficients to the unknown group-specific coefficients. C-Lasso achieves simultaneous classification and consistent estimation in a single …

A Flexible And Automated Likelihood Based Framework For Inference In Stochastic Volatility Models, Hans J. 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. …

Minimum Investment Requirements, Financial Market Globalization, And Symmetry Breaking, Haiping Zhang

Research Collection School Of Economics

We incorporate wealth heterogeneity and the minimum investment requirements in the model of Matsuyama (2004, Econometrica) and provide a complete characterization of symmetry breaking. In particular, we identify the extensive margin of investment as a key channel through which the interest rate may respond positively to capital accumulation, or equivalently, the interest rate can be higher in the rich than in the poor countries. Then, financial market globalization may lead to “uphill” capital flows from the poor to the rich countries, which widens the initial cross-country income gap and leads to income divergence among inherently identical countries, a phenomenon that …

Unit Roots In Life: A Graduate Student Story, Peter C. B. Phillips

Research Collection School Of Economics

What follows is a graduate student story. It draws on the first part of the speech I gave that evening at the NZESG conference dinner. It mixes personal reflections with recollections of the extraordinary New Zealanders who shaped my thinking as a graduate student and beginning researcher-people who have had an enduring impact on my work and career as an econometrician. The story traces out these human initial conditions and unit roots that figure in my early life of teaching and research.

Assessing Market Failures In Export Pioneering Activities: A Structural Estimation Approach, Shang-Jin Wei, Ziru Wei, Jianhuan Xu

Research Collection School Of Economics

The paper provides a first structural-estimation-based assessment of an influential hypothesis that export pioneers are too few relative to social optimum due to knowledge spillover in new market explorations. Such market failure requires two inequalities to hold simultaneously: the discovery cost is greater than any individual firm’s expected profit but Smaller than the sum of all potential exporters’ expected profits. Neither has to hold in the data. We estimate the structural parameters based on the customs data of Chinese electronics exports. While we find positive discover cost and spillovers, "missing pioneers" are nonetheless a low probability event.

Econometric Analysis Of Continuous Time Models: A Survey Of Peter Phillips' 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 40 years, resulting in many important publications by him. In these publications he has dealt with a wide range of continuous time models and the associated econometric problems. He has investigated problems from univariate equations to systems of equations, from asymptotic theory to finite sample issues, from parametric models to nonparametric models, from identification 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 …

Robustify Financial Time Series Forecasting With Bagging, Sainan Jin, Liangjun Su, Aman Ullah

Research Collection School Of Economics

In this paper we propose a revised version of (bagging) bootstrap aggregating as a forecast combination method for the out-of-sample forecasts in time series models. The revised version explicitly takes into account the dependence in time series data and can be used to justify the validity of bagging in the reduction of mean squared forecast error when compared with the unbagged forecasts. Monte Carlo simulations show that the new method works quite well and outperforms the traditional one-step-ahead linear forecast as well as the nonparametric forecast in general, especially when the in-sample estimation period is small. We also find that …

The Impact On Consumer Behavior Of Energy Demand Side Management Programs Measurement Techniques And Methods, Jeffrey L. Pursley

College of Business: Dissertations, Theses, and Student Research

Much effort has gone into measuring the impact of Demand Side Management (DSM) programs on energy usage, particularly in regards to electric usage. However, there are potential biases in such measurements. This paper explores one of these potential biases, the rebound effect. This effect is caused by changes in consumer behavior as a result of DSM programs. The work of Steven Braithwaite and Douglas Caves provide the starting point for this analysis, although the rebound effect is referenced in many other works in this field.

In an effort the estimate this effect, data from the Nebraska Energy Office’s DSM programs …

Rhode Island Current Conditions Index -- July 2014, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

From Mean And Median Income To The Most Adequate Way Of Taking Inequality Into Account, Vladik Kreinovich, Hung T. Nguyen, Rujira Ouncharoen

Departmental Technical Reports (CS)

How can we compare the incomes of two different countries or regions? At first glance, it is sufficient to compare the mean incomes, but this is known to be not a very adequate comparison: according to this criterion, a very poor country with a few super-rich people may appear to be in good economic shape. A more adequate description of economy is the median income. However, the median is also not always fully adequate: e.g., raising the income of very poor people clearly improves the overall economy but does not change the median. In this paper, we use known techniques …

Test Of Hypotheses In A Time Trend Panel Data Model With Serially Correlated Error Component Disturbances, Chihwa Kao, Badi H. Baltagi, Long Liu

Center for Policy Research

This paper studies test of hypotheses for the slope parameter in a linear time trend panel data model with serially correlated error component disturbances. We propose a test statistic that uses a bias corrected estimator of the serial correlation parameter. The proposed test statistic which is based on the corresponding fixed effects feasible generalized least squares (FE-FGLS) estimator of the slope parameter has the standard normal limiting distribution which is valid whether the remainder error is I(0) or I(1). This performs well in Monte Carlo experiments and is recommended.

Bayesian Analysis Of Bubbles In Asset Prices, Andras Fulop, Jun Yu

Research Collection School Of Economics

We develop a new asset price model where the dynamic structure of the asset price, after the fundamental value is removed, is subject to two different regimes. One regime reflects the normal period where the asset price divided by the dividend is assumed to follow a mean-reverting process around a stochastic long run mean. This latter is allowed to account for possible smooth structural change. The second regime reflects the bubble period with explosive behavior. Stochastic switches between two regimes and non-constant probabilities of exit from the bubble regime are both allowed. A Bayesian learning approach is employed to jointly …

The Business Of Coupons-Do Coupons Lead To Repeat Purchases?, Margaret P. Ross

Pursuit - The Journal of Undergraduate Research at The University of Tennessee

In recent years, couponing has emerged as a pop culture phenomenon. Businesses of all types are taking advantage of this resource by revamping their out-dated programs and turning them into something fresh to excite customers. Many questions remain unanswered concerning the viability, profitability, and usefulness of coupons. This study is an analysis of the effectiveness of coupons in enticing return purchases in the soft-drink category and the effectiveness of price discriminating at this grocery store chain. The dataset is comprised of household level grocery store transactions compiled by dunnhumby USA for 2,500 households over a period of two years. An …