Heterogeneous Oil Price-Inflation Transmission Mechanisms: Evidence from ARDL Models for India, Saudi Arabia, and Switzerland (2000–2026)

Description

This dataset comprises a monthly time-series (N=302) from January 2000 to February 2026, constructed to investigate the heterogeneous pass-through effects of global crude oil prices on consumer price inflation in India, Saudi Arabia, and Switzerland. The data includes international benchmarks (Europe Brent Spot Price and U.S. FOB OPEC costs), domestic Consumer Price Indices (CPI), and a robust set of macroeconomic control variables including GDP growth rates, M3 money supply aggregates, and exchange rate dynamics (INR/USD, SAR/USD, and CHF/USD). These variables are specifically formatted for ARDL bounds testing to capture long-run cointegration and short-run adjustment mechanisms across the three structurally distinct economies.

Steps to reproduce

1. Import and preprocess datasets using Python and pandas libraries or preferred statistical tool. 2. Transform variables into logarithmic form for elasticity estimation. 3. Conduct ADF unit root tests using statsmodels in Python. 4. Estimate ARDL models with AIC-based optimal lag selection. 5. Perform ARDL bounds testing to confirm cointegration relationships. 6. Estimate long-run coefficients and error correction dynamics. 7. Validate models using diagnostic and stability tests in Python.

Institutions

• Dayananda Sagar University

  Karnataka, Bengaluru

Categories

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