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Social and Behavioral Sciences Commons™
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- Fixed Effects (3)
- Panel Data (3)
- Chinese firms (2)
- Firm-level productivity (2)
- Panel data econometrics (2)
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- Spatial Autoregressive Model (2)
- Spatial econometrics (2)
- Technology Spillovers (2)
- And Nonstationarity (1)
- Children's Health (1)
- Cross-sectional Dependence (1)
- Dynamic Treatment Decisions (1)
- Efficiency (1)
- Efficient estimation (1)
- Efficient frontier (1)
- Endogenous Network Formation (1)
- First Difference (1)
- Generalized Least Squares (1)
- Heterogeneous Peer Effects (1)
- Hospital ownership (1)
- Indirect Treatment Effect (1)
- John Test (1)
- Maternal Employment (1)
- Medical Economics (1)
- Networks (1)
- Panel Data; Fixed Effects; Random Effects; Spatial Model; Hausman Test (1)
- Panel data (1)
- Partial Identification (1)
- Peer Effects (1)
- Policy Evaluation (1)
Articles 1 - 18 of 18
Full-Text Articles in Social and Behavioral Sciences
Sources Of Productivity Spillovers: Panel Data Evidence From China, Badi H. Baltagi, Peter H. Egger, Michaela Kesina
Sources Of Productivity Spillovers: Panel Data Evidence From China, Badi H. Baltagi, Peter H. Egger, Michaela Kesina
Center for Policy Research
This paper assesses sources of productivity spillovers in China's electric and electronic manufacturing industry using a rich panel data-set of 25,360 firms observed over the period 2004-2007. This industry is characterized by its important reliance on technology. In particular, the paper focuses on the role of other firms' productivity as well as productivity shifters in affecting own firm-level total factor productivity. In addition, this paper examines the possible difference between spillovers from foreign-owned units and from units which participate at global markets through exporting in comparison to domestically-owned and non-exporting units. We find evidence of stronger spillovers from exporting firms …
Firm-Level Productivity Spillovers In China’S Chemical Industry: A Spatial Hausman-Taylor Approach, Peter H. Egger, Badi H. Baltagi, Michaela Kesina
Firm-Level Productivity Spillovers In China’S Chemical Industry: A Spatial Hausman-Taylor Approach, Peter H. Egger, Badi H. Baltagi, Michaela Kesina
Center for Policy Research
This paper assesses the role of intra-sectoral spillovers in total factor productivity across Chinese producers in the chemical industry. We use a rich panel data-set of 12,552 firms observed over the period 2004-2006 and model output by the firm as a function of skilled and unskilled labor, capital, materials, and total factor productivity, which is broadly defined. The latter is a composite of observable factors such as export market participation, foreign as well as public ownership, the extent of accumulated intangible assets, and unobservable total factor productivity. Despite the richness of our data-set, it suffers from the lack of time …
Random Effects, Fixed Effects And Hausman’S Test For The Generalized Mixed Regressive Spatial Autoregressive Panel, Badi Baltagi, Long Liu
Random Effects, Fixed Effects And Hausman’S Test For The Generalized Mixed Regressive Spatial Autoregressive Panel, Badi Baltagi, Long Liu
Center for Policy Research
This paper suggests random and fixed effects spatial two-stage least squares estimators for the generalized mixed regressive spatial autoregressive panel data model. This extends the generalized spatial panel model of Baltagi, Egger and Pfaffermayr (2013) by the inclusion of a spatial lag dependent variable. The estimation method utilizes the Generalized Moments method suggested by Kapoor, Kelejian, and Prucha (2007) for a spatial autoregressive panel data model. We derive the asymptotic distributions of these estimators and suggest a Hausman test a la Mutl and Pfaffermayr (2011) based on the difference between these estimators. Monte Carlo experiments are performed to investigate the …
On Testing For Sphericity With Non-Normality In A Fixed Effects Panel Data Model, Badi H. Baltagi, Chihwa Kao, Bin Peng
On Testing For Sphericity With Non-Normality In A Fixed Effects Panel Data Model, Badi H. Baltagi, Chihwa Kao, Bin Peng
Center for Policy Research
Building upon the work of Chen et al. (2010), this paper proposes a test for sphericity of the variance-covariance matrix in a fixed effects panel data regression model without the normality assumption on the disturbances.
Welfare Reform And Children’S Health, Badi H. Baltagi, Yin -Fang Yen
Welfare Reform And Children’S Health, Badi H. Baltagi, Yin -Fang Yen
Center for Policy Research
This study investigates the effect of the Temporary Aid to Needy Families (TANF) program on children’s health outcomes using data from the Survey of Income and Program Participation (SIPP) over the period 1994 to 2005. The TANF policies have been credited with increased employment for single mothers and a dramatic drop in welfare caseload. Our results show that these policies also had a significant effect on various measures of children’s medical utilization among low-income families. These health measures include a rating of the child’s health status reported by the parents; the number of times that parents consulted a doctor; and …
Improving Public Health Safety Nets After An Economic Recession, Sanjay Basu
Improving Public Health Safety Nets After An Economic Recession, Sanjay Basu
Center for Policy Research
When we say ‘here’s what’s going on with our nation’s health,’ how do we know the answer? Where is the data coming from? How can we best evaluate our public health system? We’re talking about it every day on CNN given the Ebola scare. What do we mean by our ‘public health system’? I would argue that we should expand our definition to mean something more than hospitals and clinics, or doctors and nurses. In particular, I’ll argue that some of our non-health programs that we have as part of the safety net actually make a bigger health impact than …
The Spatial Polish Wage Curve With Gender Effects: Evidence From The Polish Labor Survey, Badi H. Baltagi, Bartlomiej Rokicki
The Spatial Polish Wage Curve With Gender Effects: Evidence From The Polish Labor Survey, Badi H. Baltagi, Bartlomiej Rokicki
Center for Policy Research
This paper reconsiders the Polish wage curve using individual data from the Polish Labor Force Survey (LFS) at the 16 NUTS2 level allowing for spatial spillovers between regions. In addition it estimates the total and gender-specific regional unemployment rate elasticities on individual wages. The paper finds significant spatial unemployment spillovers across Polish regions. In addition, it finds that the results for the Polish wage curve are sensitive to gender-specific regional unemployment rates. This is especially true for women.
School Spending Matters!, John Yinger
School Spending Matters!, 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.
Test Of Hypotheses In A Time Trend Panel Data Model With Serially Correlated Error Component Disturbances, Chihwa Kao, Badi H. Baltagi, Long Liu
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.
Treatment Effects With Unobserved Heterogeneity: A Set Identification Approach, Sung Jae Jun, Yoonseok Lee, Youngki Shin
Treatment Effects With Unobserved Heterogeneity: A Set Identification Approach, Sung Jae Jun, Yoonseok Lee, Youngki Shin
Center for Policy Research
We propose the sharp identifiable bounds of the distribution functions of potential outcomes using a panel with fixed T. We allow for the possibility that the statistical randomization of treatment assignments is not achieved until unobserved heterogeneity is properly controlled for. We use certain stationarity assumptions to obtain the bounds. Dynamics in the treatment decisions is allowed as long as the stationarity assumptions are satisfied. In particular, we present an example where our assumptions are satisfied and the treatment decision of the present time may depend on the treatments and the observed outcomes of the past. As an empirical illustration …
The Final Verdict On Star?, John Yinger
The Final Verdict On 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.
The Graduation Rate Tragedy In New York State, John Yinger
The Graduation Rate Tragedy 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.
The Impact Of Education Finance Reform On Student Achievement In Massachusetts, John Yinger
The Impact Of Education Finance Reform On Student Achievement In Massachusetts, 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.
Endogenous Network Production Functions With Selectivity, William C. Horrace, Xiaodong Liu, Eleonora Patacchini
Endogenous Network Production Functions With Selectivity, William C. Horrace, Xiaodong Liu, Eleonora Patacchini
Center for Policy Research
We consider a production function model that transforms worker inputs into outputs through peer effect networks. The distinguishing features of this production model are that the network is formal and observable through worker scheduling, and selection into the network is done by a manager. We discuss identification and suggest a variety of estimation techniques. In particular, we tackle endogeneity issues arising from selection into groups and exposure to common group factors by employing a polychotomous Heckman-type selection correction. We illustrate our method using data from the Syracuse University Men’s Basketball team, where at any point in time the coach selects …
A Laplace Stochastic Frontier Model, William C. Horrace, Christopher F. Parmeter
A Laplace Stochastic Frontier Model, William C. Horrace, Christopher F. Parmeter
Center for Policy Research
We propose a Laplace stochastic frontier model as an alternative to the traditional model with normal errors. An interesting feature of the Laplace model is that the distribution of inefficiency conditional on the composed error is constant for positive values of the composed error, but varies for negative values. Therefore, it may be ideally suited for analyzing industries with many forms on or close to the efficient frontier. A simulation study suggests that the model performs well relative to the normal-exponential model when the two-sided error is misspecified. A brief application to US Airlines is provided.
Identification And Estimation Of Outcome Response With Heterogeneous Treatment Externalities, Tiziano Arduini, Eleonora Patacchini, Edoardo Rainone
Identification And Estimation Of Outcome Response With Heterogeneous Treatment Externalities, Tiziano Arduini, Eleonora Patacchini, Edoardo Rainone
Center for Policy Research
This paper studies the identification and estimation of treatment response with heterogeneous spillovers in a network model. We generalize the standard linear-in-means model to allow for multiple groups with between and within-group interactions. We provide a set of identification conditions of peer effects and consider a 2SLS estimation approach. Large sample properties of the proposed estimators are derived. Simulation experiments show that the estimators perform well in finite samples. The model is used to study the effectiveness of policies where peer effects are seen as a mechanism through which the treatments could propagate through the network. When interactions among groups …
Poverty And Proficiency In New York State, John Yinger
Poverty And Proficiency 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.
Hospital Treatment Rates And Spill-Over Effects: Does Ownership Matter?, Badi H. Baltagi, Yin -Fang Yen
Hospital Treatment Rates And Spill-Over Effects: Does Ownership Matter?, Badi H. Baltagi, Yin -Fang Yen
Center for Policy Research
This paper studies the effect of hospital ownership on treatment rates allowing for spatial correlation among hospitals. Competition among hospitals and knowledge spillovers generate significant externalities which we try to capture using the spatial Durbin model. Using a panel of 2342 hospitals in the 48 continental states observed over the period 2005 to 2008, we find significant spatial correlation of medical service treatment rates among hospitals. We also get mixed results on the effect of hospital ownership on treatment rates that depends upon the market structure where the hospital is located and which varies by treatment type.