Study Claims India Trailed Counterfactual Growth and Institutional Trends Post-2014;
NEW DELHI: A research paper published by academic researchers at Texas Tech University has ignited debate regarding India's economic performance and institutional trajectory since 2014. Utilizing the Synthetic Control Method (SCM), the study argues that India's per-capita income and governance metrics underperformed relative to a modeled counterfactual baseline.
The study, titled 'Promises, Promises: Governance and Growth in India under Modi and the BJP' by Kevin Grier and Robin Grier, constructs a statistical clone—termed "Synthetic India"—to project how the nation's key indicators might have tracked had historical economic and governance trends continued without administrative change.
Per-Capita Income and Economic Findings
According to the authors' econometric model, India's real GDP per capita by 2023 was approximately 10 per cent (or nearly $1,000) below what the synthetic counterfactual model predicted:
- Model Composition: For economic trajectory modeling, "Synthetic India" was constructed using a weighted combination of donor economies including Ethiopia, China, Bangladesh, Pakistan, and the Philippines based on pre-2014 data matching.
- Cumulative Gap: The paper estimates a cumulative notional GDP shortfall over the decade resulting from the divergence between actual growth rates and the baseline projection.
Governance and Institutional Metrics
Evaluating ten institutional metrics derived primarily from the Varieties of Democracy (V-Dem) dataset, the researchers reported noticeable declines relative to their synthetic control baselines:
- Democratic Indicators: Measures covering liberal democracy, electoral polyarchy, and judicial constraints on executive authority showed substantial drops from their historical trajectory baselines.
- Civil Liberties & Corruption: Metrics for freedom of expression and religious freedom diverged lower, while political corruption metrics registered higher than the modeled counterfactual.
Methodological Debates and Critiques
The paper's findings have drawn sharp criticism from economic analysts and policy observers, who highlight limitations inherent to counterfactual econometric modeling:
- Donor Pool Sensitivity: Critics point out that altering the donor pool selection or dataset versions—such as using alternative World Bank or Penn World Table metrics—produces vastly different counterfactual results where actual Indian growth meets or exceeds the baseline.
- V-Dem Metric Bias: Subjectivity concerns have been raised regarding qualitative governance indices like V-Dem, with opponents arguing that expert-perception scores carry subjective biases compared to hard economic data.
- Back-Testing Misfires: Policy analysts demonstrated that running the same model parameters on pre-2004 data yields similar retrospective gaps for earlier administrations, raising questions about attributing observed gaps solely to leadership changes.