Economic Structural Change

1 Introduction.- I Identification of Structural Change.- 2 Recursive M-Tests for the Change-Point Problem.- 3 Recursive vs. OLS Residuals in the CUSUM Test.- 4 Kimball's Inequality and Bounds Tests for Comparing Several Regressions under Heteroscedasticity.- 5 A Further Look at Model Evaluation.- 6 Bayesian Inferences about the Intersection of Two Regressions.- 7 Nonparametric Sequential Surveillance of Intervention Effects in Time Series.- 8 A Monte Carlo Study of the Effects of Structural Breaks on Tests for Unit Roots.- II Model Building in the Presence of Structural Change.- 9 Forecast Encompassing and Model Evaluation.- 10 An Introduction to Time-Varying Parameter Cointegration.- 11 Disequilibrium Modeling, Switching Regressions, and Their Relationship to Structural Change.- 12 Stochastic Trends in Simultaneous Equation Systems.- 13 Time-Varying Nonlinear Regression.- 14 Stability Analysis Using Kaiman Filtering, Scoring, EM, and an Adaptive EM method.- III Forecasting in the Presence of Structural Change.- 15 A Note on Bayesian Forecast Combination Procedures.- 16 A New Approach to Statistical Forecasting.- IV Economic Modeling and the Use of Empirical Data.- 17 The Relation between Economic Growth and Structural Change.- 18 Structural Change in Swedish and Finnish Monthly Industrial Output Series.- 19 On the Estimation of Time-varying Parameters in Transfer Function Models.- 20 Abrupt and Gradual Structural Shifts in State-Space Models.- 21 Structural Changes in the Real GNP Interdependence of the USA, West Germany, and Japan: 1970-1986.- 22 Interactive Poverty and Affluence of a Society: Change-Point Models for Structural Changes.- Author Index.- List of Authors.

Dr. Peter Hackl ist Professor für Statistik an der Wirtschaftsuniversität Wien und seit Dezember 2004 fachstatistischer Generaldirektor der Bundesanstalt Statistik Österreich.