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More About This Title Econometric Analysis of Panel Data 4e
- English
English
- English
English
1 Introduction 1
1.1 Panel Data: Some Examples 1
1.2 Why Should We Use Panel Data? Their Benefits and Limitations 6
Note 11
2 The One-way Error Component Regression Model 13
2.1 Introduction 13
2.2 The Fixed Effects Model 14
2.3 The Random Effects Model 17
2.4 Maximum Likelihood Estimation 22
2.5 Prediction 23
2.6 Examples 24
2.7 Selected Applications 31
2.8 Computational Note 31
Notes 31
Problems 32
3 The Two-way Error Component Regression Model 35
3.1 Introduction 35
3.2 The Fixed Effects Model 35
3.3 The Random Effects Model 37
3.4 Maximum Likelihood Estimation 42
3.5 Prediction 44
3.6 Examples 45
3.7 Selected Applications 48
Notes 50
Problems 50
4 Test of Hypotheses with Panel Data 57
4.1 Tests for Poolability of the Data 57
4.2 Tests for Individual and Time Effects 63
4.3 Hausman's Specification Test 72
4.4 Further Reading 81
Notes 82
Problems 82
5 Heteroskedasticity and Serial Correlation in the Error Component Model 87
5.1 Heteroskedasticity 87
5.2 Serial Correlation 92
Notes 112
Problems 113
6 Seemingly Unrelated Regressions with Error Components 115
6.1 The One-way Model 115
6.2 The Two-way Model 116
6.3 Applications and Extensions 117
Problems 119
7 Simultaneous Equations with Error Components 121
7.1 Single Equation Estimation 121
7.2 Empirical Example: Crime in North Carolina 124
7.3 System Estimation 130
7.4 The Hausman and Taylor Estimator 133
7.5 Empirical Example: Earnings Equation Using PSID Data 136
7.6 Further Reading and Extensions 140
Notes 141
Problems 142
8 Dynamic Panel Data Models 147
8.1 Introduction 147
8.2 The Arellano and Bond Estimator 149
8.3 The Arellano and Bover Estimator 155
8.4 The Ahn and Schmidt Moment Conditions 158
8.5 The Blundell and Bond System GMM Estimator 160
8.6 The Keane and Runkle Estimator 162
8.7 Further Developments 164
8.8 Empirical Examples 170
8.9 Further Reading 173
Notes 178
Problems 179
9 Unbalanced Panel Data Models 181
9.1 Introduction 181
9.2 The Unbalanced One-way Error Component Model 181
9.3 Empirical Example: Hedonic Housing 187
9.4 The Unbalanced Two-way Error Component Model 191
9.5 Testing for Individual and Time Effects Using Unbalanced Panel Data 193
9.6 The Unbalanced Nested Error Component Model 196
Notes 200
Problems 201
10 Special Topics 205
10.1 Measurement Error and Panel Data 205
10.2 Rotating Panels 208
10.3 Pseudo-panels 210
10.4 Alternative Methods of Pooling Time Series of Cross-Section Data 214
10.5 Spatial Panels 216
10.6 Short-run vs. Long-run Estimates in Pooled Models 219
10.7 Heterogeneous Panels 220
10.8 Count Panel Data 226
Notes 233
Problems 233
11 Limited Dependent Variables and Panel Data 237
11.1 Fixed and Random Logit and Probit Models 237
11.2 Simulation Estimation of Limited Dependent Variable Models with Panel Data 245
11.3 Dynamic Panel Data Limited Dependent Variable Models 246
11.4 Selection Bias in Panel Data 251
11.5 Censored and Truncated Panel Data Models 256
11.6 Empirical Applications 260
11.7 Empirical Example: Nurses Labor Supply 262
11.8 Further Reading 266
Notes 268
Problems 269
12 Nonstationary Panels 273
12.1 Introduction 273
12.2 Panel Unit Roots Tests Assuming Cross-sectional Independence 275
12.3 Panel Unit Roots Tests Allowing for Cross-sectional Dependence 284
12.4 Spurious Regression in Panel Data 287
12.5 Panel Cointegration Tests 292
12.6 Estimation and Inference in Panel Cointegration Models 298
12.7 Empirical Example: Purchasing Power Parity 301
12.8 Further Reading 303
Notes 308
Problems 308
References 311
Index 337