Nowcasting economic growth in India: The role of rainfall

Arbeitspapier

This study provides a toolkit to nowcast, or produce early estimates of, gross domestic product (GDP) growth in India. We use a dynamic factor model (DFM) to nowcast GDP growth in India on a quarterly basis from January 2000 to December 2018. The DFM methodology offers a powerful and tractable means of nowcasting economic growth while accounting for mixed-frequency data, which is data released on different dates, and missing time series. The specified DFM, which includes six quarterly indicators and 12 higher-frequency monthly variables, is able to effectively nowcast growth in India. The variables in the framework are drawn from the real, monetary, financial, and external sectors in India and selected to represent aggregate economic activity. There are several interesting results in the study. A key finding is that rainfall has high predictive content for GDP growth in India, a novel result from the viewpoint of the existing nowcasting literature.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: ADB Economics Working Paper Series ; No. 593

Classification and Topics

• Classification: Wirtschaft ; Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models ; Forecasting Models; Simulation Methods ; Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
• Subject: dynamic factor model ; GDP growth ; India ; nowcasting ; rainfall

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Iyer, Tara ; Gupta, Abhijit Sen
• Event: Veröffentlichung
• (who): Asian Development Bank (ADB)
• (where): Manila
• (when): 2019

Further information

• DOI: doi:10.22617/WPS190474-2
• Handle: http://hdl.handle.net/10419/230346
• Last update: 10.03.2025, 11:44 AM CET