Economics Commons^™

Standardized Lm Test For Spatial Error Dependence In Linear Or Panel Regressions, Badi Baltagi, Zhenlin Yankg

Center for Policy Research

The robustness of the LM tests for spatial error dependence of Burridge (1980) and Born and Breitung (2011) for the linear regression model, and Anselin (1988) and Debarsy and Ertur (2010) for the panel regression model with random or fixed effects are examined. While all tests are asymptotically robust against distributional misspecification, their finite sample behavior may be sensitive to the spatial layout. To overcome this shortcoming, standardized LM tests are suggested. Monte Carlo results show that the new tests possess good finite sample properties. An important observation made throughout this study is that the LM tests for spatial dependence …

Small Sample Properties And Pretest Estimation Of A Spatial Hausman-Taylor Model, Badi Baltagi, Peter H. Egger, Michaela Kesina

Center for Policy Research

This paper considers a Hausman and Taylor (1981) panel data model that exhibits a Cliff and Ord (1973) spatial error structure. We analyze the small sample properties of a generalized moments estimation approach for that model. This spatial Hausman-Taylor estimator allows for endogeneity of the time-varying and time-invariant variables with the individual effects. For this model, the spatial effects estimator is known to be consistent, but its disadvantage is that it wipes out the effects of time-invariant variables, which are important for most empirical studies. Monte Carlo results show that the spatial Hausman-Taylor estimator performs well in small samples.

Integrating Care: Improving Overall Health By Integrating Behavioral/Mental Health Care Into Primary Care, Macaran A. Baird

Center for Policy Research

Hippocrates noted that the patient must be attended in light of “his” diet, work, home, and community setting. Since that time, we have struggled with the dilemma of how to put the patient’s presenting problems in the context of the patient’s life circumstances. That goal has proven elusive. So how do we sort out where to put the emphasis with our healing arts?

A Robust Hausman-Taylor Estimator, Badi Baltagi, Georges Bresson

Center for Policy Research

This paper suggests a robust Hausman and Taylor (1981) estimator, here-after HT that deals with the possible presence of outliers. This entails two modifications of the classical HT estimator. The first modification uses the Bramati and Croux (2007) robust Within MS estimator instead of the Within estimator in the first stage of the HT estimator. The second modification uses the robust Wagenvoort and Waldmann (2002) two stage generalized MS estimator instead of the 2SLS estimator in the second step of the HT estimator. Monte Carlo simulations show that, in the presence of vertical outliers or bad leverage points, the robust …

Estimation And Prediction In The Random Effects Model With Ar(P) Remainder Disturbances, Badi Baltagi, Long Liu

Center for Policy Research

This paper considers the problem of estimation and forecasting in a panel data model with random individual effects and AR(p) remainder disturbances. It utilizes a simple exact transformation for the AR(p) time series process derived by Baltagi and Li (1994) and obtains the generalized least squares estimator for this panel model as a least squares regression. This exact transformation is also used in conjunction with Goldberger’s (1962) result to derive an analytic expression for the best linear unbiased predictor. The performance of this predictor is investigated using Monte Carlo experiments and illustrated using an empirical example.

Four Flaws In New York State’S Property Taxes And How To Fix Them: The Homestead Option, John Yinger

Center for Policy Research

It’s Elementary is a series of essays on topics in education and education policy. The main focus is on education finance in New York State, but general research findings in education and education policy issues in several other states are also discussed. John Yinger, Professor of Economics and Public Administration at the Maxwell School, Syracuse University is the author of most of these essays, although a few are written by or co-authored with other scholars.

Four Flaws In New York State’S Property Taxes And How To Fix Them: Levy Limits, John Yinger

Center for Policy Research

It’s Elementary is a series of essays on topics in education and education policy. The main focus is on education finance in New York State, but general research findings in education and education policy issues in several other states are also discussed. John Yinger, Professor of Economics and Public Administration at the Maxwell School, Syracuse University is the author of most of these essays, although a few are written by or co-authored with other scholars.

A Lagrange Multiplier Test For Cross-Sectional Dependence In A Fixed Effects Panel Data Model, Badi Baltagi, Qu Feng, Chihwa Kao

Center for Policy Research

It is well known that the standard Breusch and Pagan (1980) LM test for cross-equation correlation in a SUR model is not appropriate for testing cross-sectional dependence in panel data models when the number of cross-sectional units (n) is large and the number of time periods (T) is small. In fact, a scaled version of this LM test was proposed by Pesaran (2004) and its finite sample bias was corrected by Pesaran, Ullah and Yamagata (2008). This was done in the context of a heterogeneous panel data model. This paper derives the asymptotic bias of this scaled version of the …

Four Flaws In New York State’S Property Taxes And How To Fix Them: Star, John Yinger

Center for Policy Research

It’s Elementary is a series of essays on topics in education and education policy. The main focus is on education finance in New York State, but general research findings in education and education policy issues in several other states are also discussed. John Yinger, Professor of Economics and Public Administration at the Maxwell School, Syracuse University is the author of most of these essays, although a few are written by or co-authored with other scholars.

Testing For Instability In Covariance Sturctures, Chihwa Kao, Lorenzo Trapani, Giovanni Urga

Center for Policy Research

We propose a test for the stability over time of the covariance matrix of multivariate time series. The analysis is extended to the eigensystem to ascertain changes due to instability in the eigenvalues and/or eigenvectors. Using strong Invariance Principle and Law of Large Numbers, we normalize the CUSUM-type statistics to calculate their supremum over the whole sample. The power properties of the test versus local alternatives and alternatives close to the beginning/end of sample are investigated theoretically and via simulation. The testing procedure is validated through an application to 18 US interest rates over 1997-2011, finding instability at the end-2007/beginning-2008.

The Hausman-Taylor Panel Data Model With Serial Correlation, Badi Baltagi, Long Liu

Center for Policy Research

This paper modifies the Hausman and Taylor (1981) panel data estimator to allow for serial correlation in the remainder disturbances. It demonstrates the gains in efficiency of this estimator versus the standard panel data estimators that ignore serial correlation using Monte Carlo experiments.

Testing For Breaks In Cointegrated Panels, Chihwa Kao, Lorenzo Trapani, Giovanni Urga

Center for Policy Research

We investigate the issue of testing for structural breaks in large cointegrated panels with common and idiosyncratic regressors. We prove a panel Functional Central Limit Theorem. We show that the estimated coefficients of the common regressors have a mixed normal distribution, whilst the estimated coefficients of the idiosyncratic regressors have a normal distribution. We consider strong dependence across the idiosyncratic regressors by allowing for the presence of (stationary and nonstationary) common factors. We show that tests based on transformations of Wald-type statistics have power versus alternatives of order

The Turkish Wage Curve; Evidence From The Household Labor Force Survey, Badi H. Baltagi, Yusuf Soner Baskaya, Timur Hulagu

Center for Policy Research

This paper examines the Turkish wage curve using individual data from the Household Labor Force Survey (HLFS) including 26 NUTS-2 regions over the period 2005 - 2008. When the local unemployment rate is treated as predetermined, there is evidence in favor of the wage curve only for younger and female workers. However, if the lagged unemployment rate is used as an instrument for current unemployment rate, we find an unemployment elasticity of -0.099. We also find a higher elasticity for younger, less educated, low experienced workers than for older, more educated and more experienced workers. Another important finding is that …

Losers And Losers: Some Demographics Of Medical Malpractice Tort Reforms, Andrew I. Friedson, Thomas J. Kniesner

Center for Policy Research

Our research examines individual differences in the effects of medical malpractice tort reforms on pre-trial settlement speed and settlement amounts by age and most likely settlement size. Findings of note include that, unlike previously assumed, both absolute and percentage losses from tort reform are small for infants in an asset value sense and that the prime-aged working population is the group most negatively affected by tort reform. Maximum entropy quantile regressions highlight the robustness of our conclusions and reveal that the settlement losses most informative for policy evaluation differ greatly from mean regression estimates.

Social Interactions In The Labor Market, Andrew Grodner, Thomas J. Kniesner, John A. Bishop

Center for Policy Research

We examine theoretically and empirically social interactions in labor markets and how policy prescriptions can change dramatically when there are social interactions present.

Spillover effects increase labor supply and conformity effects make labor supply perfectly inelastic at a reference group average. The demand for a good may also be influenced by either a spillover effect or a conformity effect. Positive spillover increases the demand for the good with interactions, and a conformity effect makes the demand curve pivot to become less price sensitive. Similar social interactions effects appear in the associated derived demands for labor.

Individual and community factors may …

Test Of Hypotheses In Panel Data Models When The Regressor And Disturbances Are Possibly Nonstationary, Badi H. Baltagi, Chihwa Kao, Sanggon Na

Center for Policy Research

This paper considers the problem of hypotheses testing in a simple panel data regression model with random individual effects and serially correlated disturbances. Following Baltagi, Kao and Liu (2008), we allow for the possibility of non-stationarity in the regressor and/or the disturbance term. While Baltagi et al. (2008) focus on the asymptotic properties and distributions of the standard panel data estimators, this paper focuses on test of hypotheses in this setting. One important finding is that unlike the time series case, one does not necessarily need to rely on the “super-efficient” type AR estimator by Perron and Yabu (2009) to …

Medical Technology And The Production Of Health Care, Badi H. Baltagi, Francesco Moscone, Elisa Tosetti

Center for Policy Research

This paper investigates the factors that determine differences across OECD countries in health outcomes, using data on life expectancy at age 65, over the period 1960 to 2007. We estimate a production function where life expectancy depends on health and social spending, lifestyle variables, and medical innovation. Our first set of regressions includes a set of observed medical technologies by country. Our second set of regressions proxy technology using a spatial process. The paper also tests whether in the long-run countries tend to achieve similar levels of health outcomes. Our results show that health spending has a significant and mild …

Testing For Breaks In Cointegrated Panels With Common And Idiosyncratic Stochastic Trends, Chihwa Kao, Lorenzo Trapani, Giovanni Urga

Center for Policy Research

In this paper, we develop tests for structural change in cointegrated panel regressions with common and idiosyncratic trends. We consider both the cases of observable and nonobservable common trends, deriving a Functional Central Limit Theorem for the partial sample estimators under the null of no break. We show that tests based on sup-Wald statistics are powerful versus breaks of size , also proving that power is present when the time of change differs across units and when only some units have a break. Our framework is extended to the case of cross correlated regressors and endogeneity. Monte Carlo evidence shows …

Instrumental Variable Estimation Of A Spatial Autoregressive Panel Model With Random Effects, Badi H. Baltagi, Long Liu

Center for Policy Research

This paper extends the instrumental variable estimators of Kelejian and Prucha (1998) and Lee (2003) proposed for the cross-sectional spatial autoregressive model to the random effects spatial autoregressive panel data model. It also suggests an extension of the Baltagi (1981) error component 2SLS estimator to this spatial panel model.

Seemingly Unrelated Regressions With Spatial Error Components, Badi H. Baltagi, Alain Pirotte

Center for Policy Research

This paper considers various estimators using panel data seemingly unrelated regressions (SUR) with spatial error correlation. The true data generating process is assumed to be SUR with spatial error of the autoregressive or moving average type. Moreover, the remainder term of the spatial process is assumed to follow an error component structure. Both maximum likelihood and generalized moments (GM) methods of estimation are used. Using Monte Carlo experiments, we check the performance of these estimators and their forecasts under misspecification of the spatial error process, various spatial weight matrices, and heterogeneous versus homogeneous panel data models.

A Dynamic Spatial Panel Data Approach To The German Wage Curve, Badi H. Baltagi, Uwe Blien, Katja Wolf

Center for Policy Research

A wage curve is a decreasing function of wages on the regional unemployment rate. Most empirical studies on the wage curve ignore possible spatial interaction effects between the regions which are the primary units of research. This paper reconsiders the western German wage curve with a special focus on the geography of labour markets. Spillovers between regions are taken into account. The paper tests whether the unemployment rate in the larger surrounding region also affects wages. In addition, agglomeration effects and effects of local monopsony are assessed. The main data base is a random sample of 974,179 employees observed over …

Panel Data Inference Under Spatial Dependence, Badi H. Baltagi, Alain Pirotte

Center for Policy Research

This paper focuses on inference based on the usual panel data estimators of a one-way error component regression model when the true specification is a spatial error component model. Among the estimators considered, are pooled OLS, random and fixed effects, maximum likelihood under normality, etc. The spatial effects capture the cross-section dependence, and the usual panel data estimators ignore this dependence. Two popular forms of spatial autocorrelation are considered, namely, spatial auto-regressive random effects (SAR-RE) and spatial moving average random effects (SMA-RE). We show that when the spatial coefficients are large, test of hypothesis based on the usual panel data …

A Generalized Spatial Panel Data Model With Random Effects, Badi H. Baltagi, Peter Egger, Michael Pfaffermayr

Center for Policy Research

This paper proposes a generalized panel data model with random effects and first-order spatially auto correlated residuals that encompasses two previously suggested specifications. The first one is described in Anselin's (1988) book and the second one by Kapoor, Kelejian, and Prucha (2007). Our encompassing specification allows us to test for these models as restricted specifications. In particular, we derive three LM and LR tests that restrict out generalized model to obtain (i) the Anselin model, (ii) the Kapoor, Kelejian, and Prucha model, and (iii) the simple random effects model that ignores the spatial correlation in the residuals. For two of …

Hedonic Markets And Explicit Demands: Bid-Function Envelopes For Public Services, Neighborhood Amenities, And Commuting Costs, John Yinger

Center for Policy Research

Hedonic regressions with house value as the dependent variable are widely used to study the value of public services and amenities. This paper builds on the theory of household bidding and sorting to derive a bid function envelope, which provides a form for these regressions. This approach uses a general characterization of household heterogeneity, yields estimates of the price elasticities of demands for services and amenities directly from the hedonic with no need for a Rosen two-step procedure, and provides tests of key hypotheses about household sorting. An application to data from Cleveland in 2000 yields precise estimates of price …

A Review Of Real Education By Charles Murray, John Yinger

Center for Policy Research

It’s Elementary is a series of essays on topics in education and education policy. The main focus is on education finance in New York State, but general research findings in education and education policy issues in several other states are also discussed. John Yinger, Professor of Economics and Public Administration at the Maxwell School, Syracuse University is the author of most of these essays, although a few are written by or co-authored with other scholars.

Why A Property Tax Cap Is A Bad Idea For New York, John Yinger

Center for Policy Research

It’s Elementary is a series of essays on topics in education and education policy. The main focus is on education finance in New York State, but general research findings in education and education policy issues in several other states are also discussed. John Yinger, Professor of Economics and Public Administration at the Maxwell School, Syracuse University is the author of most of these essays, although a few are written by or co-authored with other scholars.

The Preliminary Report Of The New York Commission On Property Tax Relief, John Yinger

Center for Policy Research

It’s Elementary is a series of essays on topics in education and education policy. The main focus is on education finance in New York State, but general research findings in education and education policy issues in several other states are also discussed. John Yinger, Professor of Economics and Public Administration at the Maxwell School, Syracuse University is the author of most of these essays, although a few are written by or co-authored with other scholars.

Fixed-Effect Estimation Of Highly-Mobile Production Technologies, William C. Horrace, Kurt E. Schnier

Center for Policy Research

We consider fixed-effect estimation of a production function where inputs and outputs vary over time, space, and cross-sectional unit. Variability in the spatial dimension allows for time-varying individual effects, without parametric assumptions on the effects. Asymptotics along the spatial dimension provide consistency and normality of the marginal products. A finite-sample example is provided: a production function for bottom-trawler fishing vessels in the flatfish fisheries of the Bering Sea. We find significant spatial variability of output (catch) which we exploit in estimation of a harvesting function.

Reform In New York State’S Education Aid Formula?, John Yinger

Center for Policy Research

It’s Elementary is a series of essays on topics in education and education policy. The main focus is on education finance in New York State, but general research findings in education and education policy issues in several other states are also discussed. John Yinger, Professor of Economics and Public Administration at the Maxwell School, Syracuse University is the author of most of these essays, although a few are written by or co-authored with other scholars.

Is A Circuit Breaker The Solution For Property Tax Relief In New York?, John Yinger

Center for Policy Research

It’s Elementary is a series of essays on topics in education and education policy. The main focus is on education finance in New York State, but general research findings in education and education policy issues in several other states are also discussed. John Yinger, Professor of Economics and Public Administration at the Maxwell School, Syracuse University is the author of most of these essays, although a few are written by or co-authored with other scholars.