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Rhode Island Current Conditions Index -- August 2018, Leonard Lardaro 2018 University of Rhode Island

Rhode Island Current Conditions Index -- August 2018, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.


Bootstrap Lm Tests For Higher-Order Spatial Effects In Spatial Linear Regression Models, Zhenlin YANG 2018 Singapore Management University

Bootstrap Lm Tests For Higher-Order Spatial Effects In Spatial Linear Regression Models, Zhenlin Yang

Research Collection School Of Economics

This paper first extends the methodology of Yang (J Econom 185:33-59, 2015) to allow for non-normality and/or unknown heteroskedasticity in obtaining asymptotically refined critical values for the LM-type tests through bootstrap. Bootstrap refinements in critical values require the LM test statistics to be asymptotically pivotal under the null hypothesis, and for this we provide a set of general methods for constructing LM and robust LM tests. We then give detailed treatments for two general higher-order spatial linear regression models: namely the model and the model, by providing a complete set of non-normality robust LM and bootstrap LM tests for higher-order …


Resilience And The U.S. Labor Market: A Cross-Scale Analysis On The Role Of Industrial Diversity And Specialization, Christian D. Sprague 2018 Boise State University

Resilience And The U.S. Labor Market: A Cross-Scale Analysis On The Role Of Industrial Diversity And Specialization, Christian D. Sprague

Boise State University Theses and Dissertations

This thesis examines how the effects of industrial diversity and specialization vary across geographical scales and classification levels. The notion of a robust institutional design, in conjunction with a regional resilience framework, is used to model how diversity and modularity affect unemployment through-out economic cycles. We use fixed effects models on employment data from the Bureau of Labor Statistics and Census Bureau in all available U.S. counties from 1998-2015. Key results suggest the optimal structure of industrial composition varies across scale, namely, that fine levels of industrial diversity are beneficial at higher levels of geographical scale (regions), whereas a broad …


Nonstationary Panels With Unobserved Heterogeneity, Wenxin HUANG 2018 Singapore Management University

Nonstationary Panels With Unobserved Heterogeneity, Wenxin Huang

Dissertations and Theses Collection (Open Access)

This dissertation develops several econometric techniques to address the unobserved heterogeneity in nonstationary panels, namely identifying latent group structures in cointegrated panels, studying nonstationary panels with both cross-sectional dependence and latent group structures, and estimating panel error-correction model with unobserved dynamic common factors.

Chapter 1 considers a panel cointegration model with latent group structures that allows for heterogeneous long-run relations across groups. We extend Su et al. (2013) classifier-Lasso (C-Lasso) method to the nonstationary panels and allow for the presence of endogeneity in both the stationary and nonstationary regressors in the model. In addition, we allow the dimension of the …


Unified M-Estimation Of Fixed-Effects Spatial Dynamic Models With Short Panels, Zhenlin YANG 2018 Singapore Management University

Unified M-Estimation Of Fixed-Effects Spatial Dynamic Models With Short Panels, Zhenlin Yang

Research Collection School Of Economics

It is well known that quasi maximum likelihood (QML) estimation of dynamic panel data (DPD) models with short panels depends on the assumptions on the initial values, and a wrong treatment of them will result in inconsistency and serious bias. The same issues apply to spatial DPD (SDPD) models with short panels. In this paper, a unified Mestimation method is proposed for estimating the fixed-effects SDPD models containing three major types of spatial effects, namely spatial lag, spatial error and space-time lag. The method is free from the specification of the distribution of the initial observations and robust against nonnormality …


Financial Bubble Implosion And Reverse Regression, Peter C. B. PHILLIPS, Shu-Ping SHI 2018 Singapore Management University

Financial Bubble Implosion And Reverse Regression, Peter C. B. Phillips, Shu-Ping Shi

Research Collection School Of Economics

Expansion and collapse are two key features of a financial asset bubble. Bubble expansionmay be modeled using a mildly explosive process. Bubble implosion may take several differentforms depending on the nature of the collapse and therefore requires some flexibility in modeling.This paper first strengthens the theoretical foundation of the real time bubble monitoringstrategy proposed in Phillips, Shi and Yu (2015a,b, PSY) by developing analytics and studyingthe performance characteristics of the testing algorithm under alternative forms of bubbleimplosion which capture various return paths to market normalcy. Second, we propose a newreverse sample use of the PSY procedure for detecting crises and …


Spatial Dynamic Panel Data Models With Correlated Random Effects, Liyao LI, Zhenlin YANG 2018 Singapore Management University

Spatial Dynamic Panel Data Models With Correlated Random Effects, Liyao Li, Zhenlin Yang

Research Collection School Of Economics

In this paper, M-estimation and inference methods are developed for spatial dynamic panel data models with correlated random effects, based on short panels. The unobserved individual-specific effects are assumed to be correlated with the observed time-varying regressors linearly or in a linearizable way, giving the so-called correlated random effects model, which allows the estimation of effects of time-invariant regressors. The unbiased estimating functions are obtained by adjusting the conditional quasi-scores given the initial observations, leading to M-estimators that are consistent, asymptotically normal, and free from the initial conditions except the process starting time. By decomposing the estimating functions into sums …


Pretrial Release And Failure-To-Appear In Mclean County, Il, Jonathan Monsma 2018 Illinois State University

Pretrial Release And Failure-To-Appear In Mclean County, Il, Jonathan Monsma

Student Research – Stevenson Center

Actuarial risk assessment tools increasingly have been employed in jurisdictions across the U.S. to assist courts in the decision of whether someone charged with a crime should be detained or released prior to their trial. These tools should be continually monitored and researched by independent 3rd parties to ensure that these powerful tools are being administered properly and used in the most proficient way as to provide socially optimal results. McLean County, Illinois began using the Public Safety Assessment-CourtTM (PSA-Court or simply PSA) risk assessment tool beginning in 2016. This study culls data from the McLean County Jail …


Rhode Island Current Conditions Index -- July 2018, Leonard Lardaro 2018 University of Rhode Island

Rhode Island Current Conditions Index -- July 2018, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.


Diagnostic Tests For Homoskedasticity In Spatial Cross-Sectional Or Panel Models, Badi H. BALTAGI, Alain PIROTTE, Zhenlin YANG 2018 Syracuse University

Diagnostic Tests For Homoskedasticity In Spatial Cross-Sectional Or Panel Models, Badi H. Baltagi, Alain Pirotte, Zhenlin Yang

Research Collection School Of Economics

We propose tests for homoskedasticity in spatial econometric models, based on joint or concentrated score functions and an Outer-Product-of-Martingale-Difference (OPMD) estimate of the variance of the joint or concentrated score functions. Versions of these tests robust against non-normality are also given. Asymptotic properties of the proposed tests are formally examined using a cross-section model and a panel model with fixed effects. Monte Carlo results show that the proposed tests based on the concentrated score function have good finite sample properties. Finally, the generality of the proposed approach in constructing tests for homoskedasticity is further demonstrated using a spatial dynamic panel …


Boundary Limit Theory For Functional Local To Unity Regression, Anna BYKHOVSKAYA, Peter C. B. PHILLIPS 2018 Yale University

Boundary Limit Theory For Functional Local To Unity Regression, Anna Bykhovskaya, Peter C. B. Phillips

Research Collection School Of Economics

This article studies functional local unit root models (FLURs) in which the autoregressive coefficient may vary with time in the vicinity of unity. We extend conventional local to unity (LUR) models by allowing the localizing coefficient to be a function which characterizes departures from unity that may occur within the sample in both stationary and explosive directions. Such models enhance the flexibility of the LUR framework by including break point, trending, and multidirectional departures from unit autoregressive coefficients. We study the behavior of this model as the localizing function diverges, thereby determining the impact on the time series and on …


Asymptotics And Bootstrap For Random-Effects Panel Data Transformation Models, Liangjun SU, Zhenlin YANG 2018 Singapore Management University

Asymptotics And Bootstrap For Random-Effects Panel Data Transformation Models, Liangjun Su, Zhenlin Yang

Research Collection School Of Economics

This article investigates the asymptotic properties of quasi-maximum likelihood (QML) estimators for random-effects panel data transformation models where both the response and (some of) the covariates are subject to transformations for inducing normality, flexible functional form, homoskedasticity, and simple model structure. We develop a QML-type procedure for model estimation and inference. We prove the consistency and asymptotic normality of the QML estimators, and propose a simple bootstrap procedure that leads to a robust estimate of the variance-covariance (VC) matrix. Monte Carlo results reveal that the QML estimators perform well in finite samples, and that the gains by using the robust …


New Distribution Theory For The Estimation Of Structural Break Point In Mean, Liang JIANG, Xiaohu WANG, Jun YU 2018 Singapore Management University

New Distribution Theory For The Estimation Of Structural Break Point In Mean, Liang Jiang, Xiaohu Wang, Jun Yu

Research Collection School Of Economics

Based on the Girsanov theorem, this paper obtains the exact distribution of the maximum likelihood estimator of structural break point in a continuous time model. The exact distribution is asymmetric and tri-modal, indicating that the estimator is biased. These two properties are also found in the finite sample distribution of the least squares (LS) estimator of structural break point in the discrete time model, suggesting the classical long-span asymptotic theory is inadequate. The paper then builds a continuous time approximation to the discrete time model and develops an in-fill asymptotic theory for the LS estimator. The in-fill asymptotic distribution is …


Equilibrium Wage Rigidity In Directed Search, Gabriele Camera, Jaehong Kim 2018 Chapman University

Equilibrium Wage Rigidity In Directed Search, Gabriele Camera, Jaehong Kim

ESI Working Papers

Matching frictions and downward wage rigidity emerge as equilibrium phenomena in a twosided labor market where firms sustain variable wage adjustment costs. Firms post wages to attract workers and matches are endogenous. Reducing the wage relative to the wage previously posted is costly to the firm, where the cost is proportional to the size of the proposed cut. Shocks to the firm’s profitability may yield an equilibrium wage above what the firm would offer absent proportional adjustment costs. Wage cuts can be partial or full, immediate or delayed, and are non-linear in the shock size. Importantly, wages are sticky even …


Rhode Island Current Conditions Index -- June 2018, Leonard Lardaro 2018 University of Rhode Island

Rhode Island Current Conditions Index -- June 2018, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.


The Heterogeneous Effects Of The Minimum Wage On Employment Across States, Wuyi WANG, Peter C. B. PHILLIPS, Liangjun SU 2018 Jinan University - China

The Heterogeneous Effects Of The Minimum Wage On Employment Across States, Wuyi Wang, Peter C. B. Phillips, Liangjun Su

Research Collection School Of Economics

This paper studies the relationship between the minimum wage and the employment rate in the US using the framework of a panel structure model. The approach allows the minimum wage, along with some other controls, to have heterogeneous effects on employment across states which are classified into a group structure. The effects on employment are the same within each group but differ across different groups. The number of groups and the group membership of each state are both unknown a priori. The approach employs the C-Lasso technique, a recently developed classification method that consistently estimates group structure and leads to …


Dispersion And Uncertainty In Density Forecasts: Evidence From Surveys Of Professional Forecasters, You LI 2018 Singapore Management University

Dispersion And Uncertainty In Density Forecasts: Evidence From Surveys Of Professional Forecasters, You Li

Dissertations and Theses Collection (Open Access)

This dissertation studies patterns of dispersion in density forecasts as reported in surveys of professional forecasters. We pay special attention to the role of uncertainty in explaining dispersion in professional forecasters’ density forecasts of real output growth and inflation. We also consider the relationship between survey design and forecaster behavior. The last chapter describes future research exploring the characteristics of forecaster expectations using probability integral transforms.

As a starting point, chapter one gives a summary of the literature that tries to answer, using data from survey of forecasters, the following three key questions: Why do forecasters disagree? What do density …


Three Essays On Panel Structure Models, Wuyi WANG 2018 Singapore Management University

Three Essays On Panel Structure Models, Wuyi Wang

Dissertations and Theses Collection (Open Access)

In panel structure models, individuals can be classified into different groups with the slope parameters being homogeneous within the same group but heterogeneous across groups, both the number of groups and each individual’s group membership are unknown. This dissertation proposes some methods to identify the panel structure models under different specifications, namely, developing a Lasso-type Panel-CARDS method in the linear panel, constructing two sequential binary segmentation algorithms in the nonlinear panel, and using K-means algorithm in the spatial panel.

Chapter 2 studies the estimation of a linear panel data model with latent structures. To identify the unknown group structure of …


The Political Framing Of Public Policies: An Analysis Of Act 10 In Wisconsin, David Brooker 2018 Lawrence University

The Political Framing Of Public Policies: An Analysis Of Act 10 In Wisconsin, David Brooker

Lawrence University Honors Projects

Political framing of public policy is typically different than the actual effects of the policy. In the case of Act 10 there was an extremely negative perception from teachers in the state of Wisconsin especially when it came to their salaries despite little empirical difference in salaries. Wisconsin’s Act 10, which altered the state’s public-sector collective bargaining laws, provides a natural experiment to test the political framing of public policy. A survey was conducted of teachers across the state of Wisconsin to determine their opinions regarding Act 10 and salary data from Wisconsin and Missouri were collected for comparison. It …


The Economic Impacts Of A U.S. Withdrawal From Nafta: A Cge Analysis, Jonathan Liu 2018 University of Toronto Schools

The Economic Impacts Of A U.S. Withdrawal From Nafta: A Cge Analysis, Jonathan Liu

Undergraduate Economic Review

The aim of this study is to examine the economic impacts of a U.S. withdrawal from the North American Free Trade Agreement (NAFTA) on Canada, Mexico and the United States. The shocks simulate scenarios in which the U.S instates penalizing tariff rates on NAFTA countries, a trade war between NAFTA members and a tariff reset to the WTO MFN rates. The effects of these tariff structures are analyzed under the framework of a computable general equilibrium (CGE) model with a focus on macroeconomic variables and welfare. The findings show that, in all iterations, Mexico’s economy takes a substantial hit, America’s …


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