Handbook of Research Methods and Applications in Empirical Macroeconomics
Edited by Nigar Hashimzade and
Michael Thornton
in Books from Edward Elgar Publishing
Abstract:
This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading.
Keywords: Economics and Finance; Research Methods (search for similar items in EconPapers)
JEL-codes: B4 (search for similar items in EconPapers)
Date: 2013
ISBN: 9780857931016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (120)
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Chapters in this book:
- Ch 1 Introduction , pp 1-3

- Nigar Hashimzade and Michael Thornton
- Ch 2 A review of econometric concepts and methods for empirical macroeconomics , pp 4-42

- Kerry Patterson and Michael Thornton
- Ch 3 Trends, cycles and structural breaks , pp 45-60

- Terence C. Mills
- Ch 4 Unit roots, non-linearities and structural breaks , pp 61-94

- Niels Haldrup, Robinson Kruse, Timo Teräsvirta and Rasmus T. Varneskov
- Ch 5 Filtering macroeconomic data , pp 95-136

- David Pollock
- Ch 6 Vector autoregressive models , pp 139-164

- Helmut Lütkepohl
- Ch 7 Cointegration and error correction , pp 165-188

- James Davidson
- Ch 8 Estimation and inference in threshold type regime switching models , pp 189-205

- Jesus Gonzalo and Jean-Yves Pitarakis
- Ch 9 Testing structural stability in macroeconometric models , pp 206-228

- Otilia Boldea and Alastair R. Hall
- Ch 10 Dynamic panel data models , pp 229-248

- Badi Baltagi
- Ch 11 Factor models , pp 249-265

- Jörg Breitung and In Choi
- Ch 12 Conditional heteroskedasticity in macroeconomics data: UK inflation, output growth and their uncertainties , pp 266-288

- Menelaos Karanasos and Ning Zeng
- Ch 13 Temporal aggregation in macroeconomics , pp 289-310

- Michael Thornton and Marcus Chambers
- Ch 14 Generalized Method of Moments , pp 313-333

- Alastair R. Hall
- Ch 15 Maximum likelihood estimation of time series models: the Kalman filter and beyond , pp 334-362

- Tommaso Proietti and Alessandra Luati
- Ch 16 Bayesian methods , pp 363-380

- Luc Bauwens and Dimitris Korobilis
- Ch 17 Forecasting in macroeconomics , pp 381-408

- Raffaella Giacomini and Barbara Rossi
- Ch 18 The science and art of DSGE modelling: I – construction and Bayesian estimation , pp 411-440

- Cristiano Cantore, Vasco Gabriel, Paul Levine, Joseph Pearlman and Bo Yang
- Ch 19 The science and art of DSGE modelling: II – model comparisons, model validation, policy analysis and general discussion , pp 441-463

- Cristiano Cantore, Vasco Gabriel, Paul Levine, Joseph Pearlman and Bo Yang
- Ch 20 Generalized Method of Moments estimation of DSGE models , pp 464-485

- Francisco Ruge-Murcia
- Ch 21 Bayesian estimation of DSGE models , pp 486-512

- Pablo Guerron and James Nason
- Ch 22 Structural vector autoregressions , pp 515-554

- Lutz Kilian
- Ch 23 Vector autoregressive models for macroeconomic policy analysis , pp 555-572

- Soyoung Kim
- Ch 24 Calibration and simulation of DSGE models , pp 575-592

- Paul Gomme and Damba Lkhagvasuren
- Ch 25 Simulation and estimation of macroeconomic models in Dynare , pp 593-608

- Joao Madeira
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