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The Analysis of Non-Stationary Pooled Time-Series Cross-Section-Data. In: International Journal of Conflict and Violence (IJCV). Jg.8 H. 2. 28.5.2015, S. 222-242
Inhalt
Abstract
1. Properties of OLS and Fixed-Effect Regressions with Non-Stationary Panel Data
1.1. No Cointegration
1.2. The Cointegrated Case
2. Unit-Root Tests
2.1. Unit-Root Tests Requiring Cross-Section Independence
2.1.1. ADF-Type Tests
2.1.2. Combination Tests
2.1.3. Testing the Null of Stationarity
2.2. Panel Unit-Root Tests for PTCS-Data Exhibiting Cross-Sectional Correlation
2.2.1. The Common Factor Approach
2.2.2. The Bootstrapping Approach
2.3. Structural Breaks
2.4. Small Sample Properties
2.5. Issues in the Application of Panel Unit Root Tests
2.6. Remarks Regarding the Choice of a Test and the Interpretation of Unit-Root Tests
3. Testing for Cointegration
3.1. Testing for Cointegration in the Absence of Cross-Section Dependence and Breaks
3.2. Dealing with Cross-Section Dependence and Breaks
3.2.1. Allowing for Breaks in Absence of Cross-Section Dependence
3.2.2. Testing for Cointegration in the Presence of Breaks and Cross-Section Dependence
3.3. Small Sample Behavior
3.4. Practical Considerations
3.5. Remarks Regarding the Choice of Test and the Interpretation of Cointegration Tests
4. Estimating Cointegration Relationships in Non-Stationary PTCS Data
4.1. Fully Modified OLS and Dynamic OLS
4.2. Error-Correction Models
4.3. Estimation of Cointegration Parameters under Cross-Section Dependence
4.4. Small Sample Properties
4.5. Comments on the Estimation of Long-Run Relationships in Applied Research
5. An Example: Robbery Rates in the West German Federal States
5.1. Unit-Root Tests
5.2. Cointegration Tests
5.3. Estimation of the Long-Run Parameters
6. Conclusion
References