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HB139 .A33 v. 9
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Econometric methods and models for industrial organizations / |
1 |
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HB139 .A33 v.10
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Simulating and analyzing industrial structure / |
1 |
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HB139 .A33 v.11:A
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Bayesian computational methods and applications / |
1 |
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HB139 .A33 v.11:B
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Bayesian methods applied to time series data / |
1 |
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HB139 .A33 v.12
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Applying maximum entropy to econometric problems / |
1 |
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HB139 .A33 v.13
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Messy data : missing observations, outliers, and mixed-frequency data / |
1 |
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HB139 .A33 v.14
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Applying kernel and nonparametric estimation to economic topics / |
1 |
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HB139 .A33 v.15
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Nonstationary panels, panel cointegration, and dynamic panels / |
1 |
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HB139 .A33 v.16
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Econometric models in marketing / |
1 |
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HB139 .A33 v.17
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Maximum likelihood estimation of misspecified models : twenty years later / |
1 |
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HB139 .A33 v.18
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Spatial and spatiotemporal econometrics / |
1 |
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HB139 .A33 v.19
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Applications of artificial intelligence in finance and economics / |
1 |
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HB139 .A33 v.20 pt.A
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Econometric analysis of financial and economic time series / |
1 |
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HB139 .A33 v.21
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Modelling and evaluating treatment effects in econometrics / |
1 |
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HB139 .A33 v.22
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Econometrics and risk management / |
1 |
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HB139 .A33 v.23
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Bayesian econometrics / |
1 |
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HB139 .A33 v.24
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Measurement error : consequences, applications and solutions / |
1 |
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HB139 .A33 v.25
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Nonparametric econometric methods / |
1 |
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HB139 .A33 v.26
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Maximum simulated likelihood methods and applications / |
1 |
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HB139 .A33 v.27A
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Missing data methods : cross-sectional methods and applications / |
1 |