Replication Data for Indian and Global Economic Cycle Analysis

Six estimation modules containing data, code, and outputs to replicate the empirical results in "Are Indian Cycles Decoupled from Global Cycles? Evidence from a Wavelet-Quantile Approach" published in the IMF Economic Review. The replication package was authored by Vimarsh Padha and is hosted on Harvard Dataverse, last updated on 2026-04 20. It includes modules for constructing a Global Financial Cycle Index and performing wavelet, quantile, and causality analyses.

Use Cases

• Constructing a Global Financial Cycle Index based on PCA methodology described in the replication package
• Testing for long-run causality between economic cycles using the Toda-Yamamoto approach
• Analyzing wavelet and quantile coherence between Indian and global economic indicators
• Conducting unit root tests and nonparametric quantile causality tests on time-series data
• Producing multiple and partial wavelet coherence plots, as well as phase and gain plots

Strengths

• Includes six distinct estimation modules covering a range of advanced econometric techniques
• Provides pre-computed outputs alongside input data and code, facilitating direct replication
• Hosted on Harvard Dataverse with a specific last update timestamp of 2026-04-20 14:08:57

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count and dataset scale are unknown, which may limit suitability assessment
• Data may reflect temporal or source bias inherent to the original study's scope

Provenance

Source

Harvard Dataverse, authored by Vimarsh Padha

Collection Method

Data and code compiled for replicating a published academic study

Time Range

null

Freshness

Last updated 2026-04-20 14:08:57; freshness should be verified

Geography

Focus on India and global economic cycles