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Social and Behavioral Sciences Commons™
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Articles 1 - 19 of 19
Full-Text Articles in Social and Behavioral Sciences
The Behavioral Impacts Of Property Tax Relief: Salience Or Framing?, Phuong Nguyen-Hoang, John Yinger
The Behavioral Impacts Of Property Tax Relief: Salience Or Framing?, Phuong Nguyen-Hoang, John Yinger
Center for Policy Research
New York State’s School Tax Relief Program, STAR, provides state-funded exemptions from school property taxes. From 2006-07 to 2008-09, these exemptions were supplemented with rebates, which arrived as a check in the mail. The purpose of this paper is to determine whether these two algebraically equivalent but administratively distinct policies of tax relief led to different behavioral responses. Drawing on behavioral economics, we explore the impact of STAR on the price elasticity of demand for school quality based on the concepts of salience and framing. Our main results are that the behavioral impact of the STAR provisions are larger (1) …
Income Sorting, John Yinger
Income Sorting, 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.
In Memory Of Wallace Oates, John Yinger
In Memory Of Wallace Oates, 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.
Estimating The Effects Of The Minimum Wage In A Developing Country: A Density Discontinuity Design Approach, Hugo Jales
Estimating The Effects Of The Minimum Wage In A Developing Country: A Density Discontinuity Design Approach, Hugo Jales
Center for Policy Research
This paper proposes a new framework to identify the effects of the minimum wage on the joint distribution of sector and wages in a developing country. I show that under reasonable assumptions, cross-sectional data on the worker's wage and sector can identify the joint distribution of the latent counterparts of these variables; that is, the sector status and wage that would prevail in the absence of the minimum wage. I apply the method in the “PNAD”, a nationwide representative Brazilian cross-sectional dataset for the years 2001 to 2009. The results indicate that the size of the informal sector is increased …
Catching Up On California, John Yinger
Catching Up On California, 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.
Cointegration Of Matched Home Purchases And Rental Price Indexes –Evidence From Singapore, Badi Baltagi, Jing Li
Cointegration Of Matched Home Purchases And Rental Price Indexes –Evidence From Singapore, Badi Baltagi, Jing Li
Center for Policy Research
This paper exploits the homogeneity feature of the Singapore private residential condominium market and constructs matched home purchase price and rental price series using the repeated sales method. These matched series allow us to conduct time series analysis to examine the long-term present value relationship in the housing market. Three key findings are obtained. First, we fail to establish a cointegrating relationship between the home purchase price and rental price based on nationally estimated indexes. Second, area-specific indexes demonstrate strong cross-correlations, invalidating the use of first generation panel unit root tests that ignore these cross-correlations. Third, Pesaran’s CIPS test indicates …
Wrong Skewness And Finite Sample Correction, Qu Feng, William C. Horrace, Guiying Laura Wu
Wrong Skewness And Finite Sample Correction, Qu Feng, William C. Horrace, Guiying Laura Wu
Center for Policy Research
In parametric stochastic frontier models, the composed error is specified as the sum of a two-sided noise component and a one-sided inefficiency component, which is usually assumed to be half-normal, implying that the error distribution is skewed in one direction. In practice, however, estimation residuals may display skewness in the wrong direction. Model re-specification or pulling a new sample is often prescribed. Since wrong skewness is considered a finite sample problem, this paper proposes a finite sample adjustment to existing estimators to obtain the desired direction of residual skewness. This provides another empirical approach to dealing with the so-called wrong …
Health, Medical Innovation And Disability Insurance: A Case Study Of Hiv Antiretroviral Therapy, Perry Singleton
Health, Medical Innovation And Disability Insurance: A Case Study Of Hiv Antiretroviral Therapy, Perry Singleton
Center for Policy Research
This study examines the effect of health on SSDI outcomes. The effect is identified by a new antiretroviral therapy to treat the human immunodeficiency virus. Administrative data on SSDI applications come from the Disability Research File. According to the analysis, the new therapy had an immediate and persistent effect on program entry. By 1997, the therapy decreased applications by 35.2 percent and new awards by 36.7 percent. Among existing beneficiaries, the therapy decreased program exits through death, but did not substantially increase program exits for work. By 1999, the therapy increased HIV-related expenditures by $43.6 million.
The Renter Effect Part 3: Policy Implications, John Yinger
The Renter Effect Part 3: Policy Implications, 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 Spatial Lag And Spatial Error Dependence In A Fixed Effects Panel Data Model Using Double Length Artificial Regressions, Badi H. Baltagi, Long Liu
Testing For Spatial Lag And Spatial Error Dependence In A Fixed Effects Panel Data Model Using Double Length Artificial Regressions, Badi H. Baltagi, Long Liu
Center for Policy Research
This paper revisits the joint and conditional Lagrange Multiplier tests derived by Debarsy and Ertur (2010) for a fixed effects spatial lag regression model with spatial auto-regressive error, and derives these tests using artificial Double Length Regressions (DLR). These DLR tests and their corresponding LM tests are compared using an empirical example and a Monte Carlo simulation.
The Renter Effect Part 2: Evidence, John Yinger
The Renter Effect Part 2: Evidence, 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 Renter Effect Part 1: Explanation, John Yinger
The Renter Effect Part 1: Explanation, 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.
Still “Saving Babies”? The Impact Of Child Medicaid Expansions On High School Completion Rates, Lincoln H. Groves
Still “Saving Babies”? The Impact Of Child Medicaid Expansions On High School Completion Rates, Lincoln H. Groves
Center for Policy Research
Precipitated by the legislative decision to decouple child Medicaid benefits from welfare receipt, the number of young children qualifying for public health insurance grew markedly throughout the 1980s and early 1990s. From a baseline of roughly 15% in the average state at the beginning of the decade, the rate increased to more than 40% of all young children in the United States by the time all federal mandates were fully enacted in 1992. This paper extends the academic literature examining early childhood investments and longer-term human capital measures by exploring whether public health insurance expansions to low-income children led to …
Averaged Instrumental Variables Estimators, Yoonseok Lee, Yu Zhou
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 …
Unequal Access To Good Schools In New York State, John Yinger
Unequal Access To Good Schools In New York State, 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.
Estimation Of Heterogeneous Panels With Structural Breaks, Badi Baltagi
Estimation Of Heterogeneous Panels With Structural Breaks, Badi Baltagi
Center for Policy Research
This paper extends Pesaran's (2006) work on common correlated effects (CCE) estimators for large heterogeneous panels with a general multifactor error structure by allowing for unknown common structural breaks. Structural breaks due to new policy implementation or major technological shocks, are more likely to occur over a longer time span. Consequently, ignoring structural breaks may lead to inconsistent estimation and invalid inference. We propose a general framework that includes heterogeneous panel data models and structural break models as special cases. The least squares method proposed by Bai (1997a, 2010) is applied to estimate the common change points, and the consistency …
A Circuit Breaker For New York State?, John Yinger
A Circuit Breaker For New York State?, 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.
Adaptive Elastic Net Gmm Estimation With Many Invalid Moment Conditions: Simultaneous Model And Moment Selection, Mehmet Caner, Xu Han, Yoonseok Lee
Adaptive Elastic Net Gmm Estimation With Many Invalid Moment Conditions: Simultaneous Model And Moment Selection, Mehmet Caner, Xu Han, Yoonseok Lee
Center for Policy Research
This paper develops the adaptive elastic net GMM estimator in large dimensional models with many possibly invalid moment conditions, where both the number of structural parameters and the number of moment conditions may increase with the sample size. The basic idea is to conduct the standard GMM estimation combined with two penalty terms: the quadratic regularization and the adaptively weighted lasso shrinkage. The new estimation procedure consistently selects both the nonzero structural parameters and the valid moment conditions. At the same time, it uses information only from the valid moment conditions to estimate the selected structural parameters and thus achieves …
Estimation And Identification Of Change Points In Panel Models With Nonstationary Or Stationary Regressors And Error Term, Badi H. Baltagi, Chihwa Kao, Long Liu
Estimation And Identification Of Change Points In Panel Models With Nonstationary Or Stationary Regressors And Error Term, Badi H. Baltagi, Chihwa Kao, Long Liu
Center for Policy Research
This paper studies the estimation of change point in panel models. We extend Bai (2010) and Feng, Kao and Lazarová (2009) to the case of stationary or nonstationary regressors and error term, and whether the change point is present or not. We prove consistency and derive the asymptotic distributions of the Ordinary Least Squares (OLS) and First Difference (FD) estimators. We find that the FD estimator is robust for all cases considered.