Econometric Exercises

VOLUMES IN PREPARATION

 

PROVISIONAL CONTENTS OF SELECTED VOLUMES

VOLUME 02 — Statistics (by Karim Abadir, Risto Heijmans and Jan Magnus)
   Part A. Probability and Distribution Theory
1. Probability
2. Random variables, probability distributions, and densities
3. Expectations and their generating functions
4. Special univariate distributions
5. Joint distributions and densities
6. Conditioning, dependence, and joint moments
7. Functions of random variables
8. The multivariate normal distribution and functions thereof
   Part B. Estimation and Inference
9. Samples and sampling distributions
10. Asymptotic theory
11. Point estimation
12. Maximum likelihood
13. Method of moments
14. Least squares
15. Interval estimation
16. Tests of hypotheses
17. Bayesian methods
18. Nonparametric estimation and inference

VOLUME 03 — Econometric Theory, I
(by Paolo Paruolo)
1. Introduction: linear relationships
   Part A. Basic tools of least squares theory
2. Basic algebra of least squares
3. Basic geometry of least squares
4. Projections
   Part B. Inference in linear models
5. Estimation
6. Hypothesis testing and confidence sets
7. Restrictions in the linear model

  Part C. Diagnostics and extensions of linear models

8. Misspecification tests
9. Nonspherical errors
10. Model selection

VOLUME 04 — Empirical Applications, I (by Arthur van Soest en Marno Verbeek)
1. Hedonic pricing: flats in Moscow
2. Wages and wage discrimination in Mexico
3. How well do the Dutch remember TV commercials?
4. Stated preferences for yoghurt
5. A gravity model for international trade
6. Solow's model for endogeneous growth
7. Risk premia and the efficiency of foreign exchange markets
8. Performance of mutual funds in Europe and the USA
9. Asset pricing models in the USA
10. Expenditures on food
11. Who much do Australians wish to pay for nature conservation
12. Energy use in the Netherlands

VOLUME 05 — Econometric Theory, II
1. Representation of economic systems
2. Further inference methods and asymptotics
3. Modelling of reduced form economic systems
4. Cointegration
5. Simultaneous systems of equations
6. Simultaneous dynamic systems of equations
7. Garch
8. Models for limited and qualitative variables
9. Bayesian methods
10. Robustness issues and Monte Carlo

VOLUME 06 — Empirical Applications, II
 

VOLUME 07 — Time Series Econometrics, I (by Peter C.B. Phillips, Zhijie Xiao)
1. Ideas and Approaches
2. Simple Parametric time series models
3. The spectrum
4. Strict stationarity and ergodicity
5. Projections and the Wold decomposition
6. Weak dependence and mixing processes
7. Martingales and applications
8. Central limit theory for time series
9. Asymptotic covariance matrices
10. Vector autoregressions and impulse responses
11. Bayesian vector autoregressions and applications

VOLUME 08 — Time Series Econometrics, II (by Peter C. B. Phillips, Zhijie Xiao)
 
VOLUME 09 — Microeconometrics (by Lung Fei Lee)
 
VOLUME 10 — Panel Data (by Badi H. Baltagi)
1. Introduction to panels
2. Matrix algebra for panels
3. Fixed versus random effects
4. Forecasting with panels
5. Balanced and unbalanced panels
6. Heteroskedasticity and serial correlation
7. Static versus dynamic panels
8. Wald, LM, and LR tests
9. Seemingly unrelated regressions with panels
10. Simultaneous equations and IV estimation
11. Panel limited dependent variables models
12. Stationary versus nonstationary panels
13. Homogeneous versus heterogeneous panels
14. Pseudo panels
15. Rotating panels

VOLUME 11 — Bayesian Econometrics
(Gary Koop, Dale Poirier, Justin Tobias)
 
VOLUME 12 — Nonlinear Models (by Robert de Jong)
 
VOLUME 13 — Nonparametrics and Semiparametrics (by Xiahong Chen, Yanqin Fan)
 
VOLUME 14 — Simulation-Based Econometrics
 
VOLUME 15 — Computational Methods
 
VOLUME 16 — Financial Econometrics (Sergio Pastorello, Eric Renault, Bas Werker)
 
VOLUME 17 — Robustness
 
VOLUME 18 — Econometric Methodology