Macroeconometric Methods: Applications to the Indian Economy

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This book provides empirical applications of macroeconometric methods through discussions on  key issues in the  Indian economy. It deals with  issues of  topical relevance in the arena of macroeconomics. The aim is to apply time series and financial econometric methods to macroeconomic issues of an emerging economy such as India. The data sources are given in each chapter, and students and researchers may replicate the analyses.The book is divided into three parts—Part I: Macroeconomic Modelling and Policy; Part II: Forecasting the Indian Economy and Part III: Business Cycles and Global Crises. It provides a holistic understanding of the techniques with each chapter delving into a relevant issue analysed using appropriate methods—Chapter 1: Introduction; Chapter 2: Macroeconomic Modelling and Bayesian Methods; Chapter 3: Monetary Policy Framework in India; Chapter 4: Determinants of Yields on Government Securities in India; Chapter 5: Monetar y Transmission in the Indian Economy; Chapter 6: India’s Bilateral Export Growth and Exchange Rate Volatility: A Panel GMM Approach; Chapter 7: Aggregate and Sectoral Productivity Growth in the Indian Economy: Analysis and Determinants; Chapter 8: Forecasting the INR/USD Exchange Rate: A BVAR Framework; Chapter 9: Forecasting India’s Inflation in a Data-Rich Environment: A FAVAR Study; Chapter 10: A Structural Macroeconometric Model for India; Chapter 11: International Synchronization of Growth Rate Cycles: An Analysis in Frequency Domain; Chapter 12: Inter-Linkages Between Asian and U.S. Stock Market Returns: A Multivariate GARCH Analysis; Chapter 13: The Increasing Synchronization of International Recessions.
Since the selection of issues is from macroeconomic aspects of the Indian economy, the book has wide applications and is useful for students and researchers of fields such as applied econometrics, time series econometrics, financial econometrics, forecasting methods and macroeconomics.

Author(s): Pami Dua
Publisher: Springer
Year: 2023

Language: English
Pages: 393
City: Singapore

Foreword
Acknowledgments
Contents
Editor and Contributors
1 Introduction
1 Macroeconometrics
2 Significance of the Indian Economy in the Current Economic Order
2.1 Economic Growth
2.2 Demographic Dividends
2.3 International Trade
2.4 Foreign Direct Investment
2.5 Remittances
3 Themes in the Volume
4 Conclusions
References
Part I Macroeconomic Modelling and Policy
2 Macroeconomic Modelling and Bayesian Methods
1 Introduction
2 Evolution of Macroeconomic Models
3 Bayesian Methods
3.1 Why Bayesian?
3.2 Forecasting Using Bayesian Models
4 Applications of Bayesian VAR Methods
4.1 Forecasting the INR/USD Exchange Rate: A BVAR Framework (Dua et al. 2023)
4.2 Forecasting Indian Macroeconomic Variables using Medium-Scale VAR Models: Aye et al. (2015)
4.3 Forecasting Interest Rates in India: Dua et al. (2008)
5 Concluding Remarks
Appendix: A Note on Priors
References
3 Monetary Policy Framework in India
1 Introduction
2 Schematic Representation of a Monetary Policy Framework
3 Genesis of Monetary Policy in India Since 1985
3.1 Monetary Targeting with Feedback: 1985–1998
3.2 Multiple Indicator Approach: 1998–2016
3.3 Flexible Inflation Targeting: 2016 Onwards
4 Monetary Policy Transmission Framework
5 Unconventional Monetary Policy Measures
6 Conclusion
Annexure 1
Annexure 2
Annexure 3: Constitution of the Monetary Policy Committee
References
4 Determinants of Yields on Government Securities in India
1 Introduction
2 Interest Rates and Monetary Policy in India: Some Stylised Facts
3 Determinants of Interest Rates
4 Data and Empirical Model
5 Econometric Methodology
5.1 Tests for Non-stationarity
5.2 Cointegration
5.3 Granger Causality
5.4 Variance Decomposition Analysis
6 Empirical Results
6.1 Non-stationarity, Cointegration and Granger Causality
6.2 Generalised Variance Decompositions
7 Conclusion
References
5 Monetary Transmission in the Indian Economy
1 Introduction
2 Monetary Policy Framework of India
3 Channels of Monetary Policy Transmission
4 Literature Review
5 Empirical Model
6 Econometric Methodology
7 Data and Identification Strategy
7.1 Data
7.2 Identification of VAR Model
8 Results
9 Conclusion
Appendix
References
6 India’s Bilateral Export Growth and Exchange Rate Volatility: A Panel GMM Approach
1 Introduction
2 Trends in India’s Exports
2.1 India’s Bilateral Exports: Developed Versus Developing Countries
3 Determinants of Exports
3.1 Demand-side Factors
3.2 Supply-side Factors
4 Empirical Model, Data and Econometric Methodology
4.1 Empirical Model
4.2 Data
4.3 Econometric Methodology
5 Results
5.1 Unit Root Tests and Cross-Sectional Dependence Test
5.2 Panel Estimation Results
5.3 Inferences and Discussion
6 Conclusion
Appendix
References
7 Aggregate and Sectoral Productivity Growth in the Indian Economy: Analysis and Determinants
1 Introduction
2 Productivity Growth in the Indian Economy: Measures, Definitions and Trends
2.1 Concepts of Productivity Growth
2.2 Different Concepts of Productivity Growth for the Indian Economy
2.3 Trends in Labour and Total Factor Productivity Growth
3 Determinants of Labour Productivity Growth
3.1 Aggregate Economy Model
3.2 Sectoral Model
4 Econometric Methodology
5 Data
6 Econometric Results
6.1 Aggregate Economy
6.2 Disaggregate Economy
7 Conclusion
References
Part II Forecasting the Indian Economy
8 Forecasting the INR/USD Exchange Rate: A BVAR Framework
1 Introduction
2 Exchange Rate Models
2.1 Purchasing Power Parity, Monetary and Portfolio Balance Models
2.2 Capital Flows, Volatility of Capital Flows, Forward Premium
2.3 Microstructure Framework
2.4 Intervention
3 Empirical Models—Dua and Ranjan (2010, 2012) Model and Its Extension
3.1 Exchange Rate and Stock Prices
3.2 Exchange Rate and Oil Prices
4 Econometric Methodology
4.1 Testing for Nonstationarity
4.2 VAR, BVAR and VECM Modelling
4.3 Evaluation of Forecasting Models
5 Empirical Results
5.1 Testing for Nonstationarity
5.2 Testing for Cointegration
5.3 Empirical Results: Out-Of-Sample Forecasts-February 2017–January 2018
5.4 Empirical Results: Out-Of-Sample Forecasts-February 2018–January 2019
5.5 Empirical Results: Out-Of-Sample Forecasts-February 2017–January 2019
6 Conclusion
Appendix
References
9 Forecasting India’s Inflation in a Data-Rich Environment: A FAVAR Study
1 Introduction
2 New Keynesian Phillips Curve
3 Empirical Model
4 Econometric Methodology
4.1 Unit Root Testing
4.2 FAVAR Model
4.3 Evaluation of Forecasting Models
5 Empirical Results
5.1 Unit Root Testing
5.2 Forecast Error Variance Decompositions (FEVD)
5.3 Evaluation of Forecasts
6 Conclusion
Appendix
References
10 A Structural Macroeconometric Model for India
1 Introduction
2 Macroeconomic Modelling in India
3 The Base Model
3.1 Aggregate Demand
3.2 Aggregate Supply
3.3 Money Market
3.4 Government
4 The Empirical Model
4.1 Real Sector
4.2 Fiscal Sector
4.3 Monetary Sector
4.4 Price Block
4.5 External Sector
4.6 Trade Block
5 Estimation Methodology
5.1 Testing For Non-Stationarity
5.2 Testing for Serial Correlation
5.3 Model Validation Using Model Simulation Technique
6 Estimation Results
6.1 Estimation of Behavioural Equations
6.2 Model Simulation
6.3 Model Validation
7 Simulation Experiments
7.1 Alternative Scenarios
7.2 Fiscal Policy Shock
7.3 Mixed Policy Shock
7.4 Weather Shock
7.5 External Price Shock
7.6 Global Shock (GS)
7.7 Propagation Mechanism
8 Conclusion
References
Part III Business Cycles and Global Crises
11 International Synchronization of Growth Rate Cycles: An Analysis in Frequency Domain
1 Introduction
2 International Synchronization of Cycles: Literature Review
3 Methodology
3.1 Relationship Between Time and Frequency Domains
3.2 The Frequency Domain: Spectral Analysis
4 Data
5 Results
5.1 Basic Statistics
5.2 Non-Spectral Results
5.3 Synchronization: Cross-Spectral Estimates
6 Conclusion
References
12 Inter-Linkages Between Asian and U.S. Stock Market Returns: A Multivariate GARCH Analysis
1 Introduction
2 Inter-Linkages Between Asian and U.S. Stock Markets and Impact of Crises
3 Methodology
3.1 Markov-Switching Models
3.2 Univariate ARCH/GARCH Models
3.3 Multivariate GARCH Models (MGARCH)
4 Empirical Estimation Strategy and Data
4.1 Estimation Strategy
4.2 Testing for Changes in Conditional Correlation During the Crises
4.3 Data
5 Results
5.1 Multivariate GARCH Estimates
5.2 Test for Contagion
6 Conclusion
References
13 The Increasing Synchronization of International Recessions
1 Introduction
2 Synchronization of Recessions: Measures
2.1 Clustering of Start and End Dates of Recessions
2.2 Proportion of Economies in Expansion
2.3 Diffusion Index of the Coincident Indexes of Various Countries
3 The COVID Crisis and Its Recessionary Antecedents
4 Common Shocks, Supply Chain Dynamics, and Global Recessions
5 Conclusion
References