The Econometric Analysis of Recurrent Events in Macroeconomics and Finance
232
The Econometric Analysis of Recurrent Events in Macroeconomics and Finance
232Hardcover(New Edition)
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Overview
This book presents the econometric methods necessary for the successful modeling of recurrent events, providing valuable insights for policymakers, empirical researchers, and theorists. It explains why it is inherently difficult to forecast the onset of a recession in a way that provides useful guidance for active stabilization policy, with the consequence that policymakers should place more emphasis on making the economy robust to recessions. The book offers a range of econometric tools and techniques that researchers can use to measure recurrent events, summarize their properties, and evaluate how effectively economic and statistical models capture them. These methods also offer insights for developing models that are consistent with observed financial and real cycles.
This book is an essential resource for students, academics, and researchers at central banks and institutions such as the International Monetary Fund.
Product Details
| ISBN-13: | 9780691167084 |
|---|---|
| Publisher: | Princeton University Press |
| Publication date: | 07/26/2016 |
| Series: | The Econometric and Tinbergen Institutes Lectures |
| Edition description: | New Edition |
| Pages: | 232 |
| Product dimensions: | 5.60(w) x 8.40(h) x 1.00(d) |
About the Author
Table of Contents
Series Editors’ Introduction ix
Preface xi
1 Overview 1
1.1 Introduction 1
1.2 Describing the Events 2
1.3 Using the Event Indicators (“States”) 10
1.4 Prediction of Recurrent Events 12
1.5 Conclusion 13
2 Methods for Describing Oscillations, Fluctuations, and Cycles in Univariate Series 15
2.1 Introduction 15
2.2 Types of Movements in Real and Financial Series 16
2.3 Prescribed Rules for Dating Business Cycles 26
2.4 Prescribed Rules for Dating Other Types of Real Cycles 38
2.5 Prescribed Rules for Dating Financial Cycles 40
2.6 Relations between Cycles and Oscillations 41
2.7 The Nature of St and Its Modeling 45
2.8 Conclusion 50
3 Constructing Reference Cycles with Multivariate Information 51
3.1 Introduction 51
3.2 Determining the Reference Cycle via Phases 52
3.3 Combining Specific Cycle Turning Points 54
3.4 Finding Turning Points by Series Aggregation 60
3.5 Conclusion 61
4 Model-Based Rules for Describing Recurrent Events 62
4.1 Introduction 62
4.2 Dating Cycles with Univariate Series 63
4.3 Model-Based Rules for Dating Events with Multivariate Series 82
4.4 Conclusion 85
5 Measuring Recurrent Event Features in Univariate Data 86
5.1 Introduction 86
5.2 The Fraction of Time Spent in Expansions 87
5.3 Representing the Features of Phases 89
5.4 Amplitudes and Durations of Phases 90
5.5 The Shapes of Phases 94
5.6 The Diversity of Phases 99
5.7 Plucking Effects and Recovery Times 100
5.8 Duration Dependence in Phases 101
5.9 Conclusion 106
6 Measuring Synchronization of Recurrent Events in Multivariate Data 107
6.1 Introduction 107
6.2 Moment-Based Measures 108
6.3 Other Approaches to Measuring Synchronization 115
6.4 Synchronization and Model-Based Rules 116
6.5 Application to Synchronization of Industrial Production Cycles 116
6.6 Multivariate Synchronization 118
6.7 Comovement of Cycles 119
6.8 Conclusion 121
7 Accounting for Observed Cycle Features with a Range of Statistical Models 122
7.1 Introduction 122
7.2 U.S. Cycles as a Benchmark 123
7.3 The Business Cycle in a Range of Countries 129
7.4 Can U.S. Business Cycles Be Generated by Linear Models? 129
7.5 What Do Non-Linear Models Add? 132
7.6 Two Markov Switching Models 137
7.7 Using the Binary Indicators in Multivariate Systems 138
7.8 Conclusion 142
8 Using the Recurrent Event Binary States to Examine Economic Modeling Issues 143
8.1 Introduction 143
8.2 Estimating Univariate Models with Constructed Binary Data 145
8.3 What Do Variance Decompositions Tell Us About the Cycle? 150
8.4 The Role of Structural Shocks in Determining Cycle Features 152
8.5 Financial Effects and the Business Cycle 154
8.6 Conclusion 161
9 Predicting Turning Points and Recessions 163
9.1 Introduction 163
9.2 Bounding the Probability of the Occurrence of a Peak 166
9.3 Predicting Recessions with a Range of Variables 168
9.4 Changing the Event Defining Recessions and Turning Points 182
9.5 Conclusion 184
References 187
Index 205
What People are Saying About This
"This book provides an exhaustive and original treatment of the econometrics of recurrent events, including business and financial cycles, which will prove useful for students and researchers in private and public institutions."—Massimiliano Marcellino, Bocconi University"This book is a bible for practitioners and a gold mine of ideas for academics. Harding and Pagan offer a wealth of useful insights into these frontier methods."—Fabio Canova, BI Norwegian Business School and Florence School of Banking and Finance"Over the past two decades, Harding and Pagan have pushed the frontiers of business cycle research. They have now produced an outstanding book on the analysis of recurrent events, including business and financial cycles. They present a disciplined framework to study such events, provide multiple applications, and explain how to present findings in a format digestible to a general audience. Their book will certainly become an invaluable reference for students of macroeconomics and finance."—M. Ayhan Kose, World Bank"This is an important book by two leaders in empirical business cycle analysis."—Francis X. Diebold, University of Pennsylvania"Harding and Pagan nicely introduce econometric methods for business cycle analysis with binary variables. Both are international leaders in the field and have published extensively in top journals for many years; this book will be a useful reference on the topic."—Laurent Ferrara, head of the International Macroeconomics Division, Bank of France