de
en
Schliessen
Detailsuche
Bibliotheken
Projekt
Impressum
Datenschutz
zum Inhalt
Detailsuche
Schnellsuche:
OK
Ergebnisliste
Titel
Titel
Inhalt
Inhalt
Seite
Seite
Im Dokument suchen
Teuber, Timo: Using penalized spline, generalized additive model and mixed model regression techniques to examine univariate and multivariate time series and in particular [...]. 2013
Inhalt
1 Introduction
2 Business Cycles
2.1 Cyclicality in Economies
2.2 Business Cycles in the Classical, Keynesian, Monetarism, Neo-Classical, and New-Keynesian View
2.3 Real Business Cycle Theory
2.4 Empirical Analysis of Business Cycles
3 Generalized Linear Models, Penalized Splines, B-Splines, Generalized Linear Mixed Models, and Generalized Additive Models
3.1 Generalized Linear Models
3.1.1 Distribution of the Exponential Family
3.1.2 Maximum Likelihood Estimation
3.1.3 Examples of the Exponential Family
3.2 Penalized Splines
3.3 B-Splines
3.4 Random Effects and (Generalized) Linear Mixed Models
3.5 Generalized Additive Models
3.6 Varying Coefficients Model
4 Application of GLM, GLMM, GAM, and Penalized Splines Regression Techniques
4.1 Cyclicality of Fiscal Policies in OECD Countries
4.1.1 The Baseline Model
4.1.2 Regression Techniques
4.1.3 Empirical Results
4.1.4 Extension of the basic model
4.2 Structuralist Model of the Wage-Price Spiral with Non-Linear Demand Pressure Terms
4.2.1 Cross-over Wage-Price Dynamics
4.2.2 A Generalized Additive Model to Estimate the Phillips Curve
4.2.3 Non-linearities in the Wage Demand-Pressure Term
4.3 The Dutch Tax Benefit System and Life Cycle Employment
4.3.1 The Overlapping Generation Model
4.3.2 Calibrating the Model and Determining the Equilibrium Distribution of Work and Consumption
4.3.3 Estimation of the Productivity over the Life Cycle
4.3.4 Conclusion
4.3.5 Outlook
5 Long-Term Centers, Bivariate Cycles, and Generalized Loops
5.1 Basic Bivariate Loops Model
5.1.1 Modelling Bivariate Cycles using Penalized Splines
5.1.2 Estimation and Properties of Estimates
5.1.3 Numerical and Practical Adjustments
5.1.4 Generalized Linear Mixed Models and Laplace Approximation
5.1.5 Short-Term Fluctuations and Long-Term Trends
5.1.6 Simulation
5.2 Extension of the Bivariate Loops Model
5.2.1 The Basic Model
5.2.2 An Extension of the Basic Model
5.2.3 Generalized Two-Dimensional Loops
5.2.4 Variance of Estimations
5.2.5 Simulations
5.3 The Basic and the Extended Three-Dimensional Loops Model
5.3.1 Basic Three-Dimensional Model
5.3.2 Extended Model
5.3.3 Generalized Three-Dimensional Model
5.3.4 Simulations
6 Interpreting the Business Cycles Analysis
6.1 Business and Long-Phase Cycles in Inflation and Income Distribution
6.2 Are the US Business Cycles Real Cycles?
6.3 Estimating the Leading, Coincident, and Lagging Indicators Using Generalized Two-Dimensional Loops
6.4 Estimating the Leading, Coincident, and Lagging Indicators Using Three-Dimensional Loops
7 Summary
References