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Economy · indicator 1

Nominal GDP

Modi ahead

Rahul India

synthetic 2024

Modi India

$3.76tn

actual 2024

Difference

+35%

vs counterfactual

Placebo rank

32/35

p = 0.91

What this measures

Nominal GDP is the total value of everything India produces in a year, at current dollar prices. A rising number is an improvement.

India stood at $1.86tn in 2013, before the two paths separate. By 2024 Modi’s current India had risen to $3.76tn, while Rahul’s India — the blend of comparison countries that tracked India before 2014 — reached $2.79tn.

That leaves Modi’s current India 35% higher than Rahul’s India — better than where comparable economies ended up. Modi’s current India ranks 32/35 against placebo countries (p = 0.914) — within the range chance produces, so the gap is not distinguishable from noise.

Both paths, 1984–2024

Weights fitted on 1984-2013 only; the counterfactual is projected across 2014-2024.

Modi India · actualRahul India · syntheticModi ahead

Divergence

Modi India minus Rahul India, in USD.

What Rahul’s India is made of

Donor weights, solved on pre-2014 data. 34 countries in the pool; those not listed carry zero weight.

  • Indonesia
    37.0%
  • Mexico
    32.7%
  • Brazil
    24.2%
  • China
    6.1%

Method & reliability

Measure
nom_gdp_usd
Source type
Direct measure
Estimation window
1984-2013
Projection window
2014-2024
Donor pool
34 countries
Pre-2014 fit (RMSPE)
11.3% of pre-period mean
Placebo rank
32/35
Standardised p-value
0.914
BH-adjusted q across tier 1
0.914

The q-value applies a Benjamini–Hochberg correction across all 20 indicators with a counterfactual. We report p as the primary figure because each indicator is treated as a separate question rather than one family of hypotheses — but no result on this site survives q ≤ 0.10, and a reader who prefers the family view should read the p-values accordingly.

How this was calculated

Nothing here is chosen by hand. The comparison countries are not picked for being like India — they are whatever mix best reproduces India’s own path before 2014 on this particular measure.

  1. 1Describe India before 2014

    India's nominal gdp is summarised over 1984-2013 — the value at five evenly spaced years starting 1984, plus three background controls averaged across the whole window: GDP per capita, urbanisation and life expectancy.

  2. 2Find the blend that matches it

    Each of the 34 comparison countries is described the same way. An optimiser then searches for the weighted mix of them whose pre-2014 path sits closest to India's. Weights cannot be negative and must sum to 100%, so the result is always a real combination of real countries — never an extrapolation.

  3. 3Check the match is good enough

    The blend misses India's actual pre-2014 path by 11.3% on average. That is close enough to treat the projection as meaningful.

  4. 4Project it forward and compare

    The weights are frozen and applied to 2014-2024, years the optimiser never saw. That projection is Rahul's India. The difference against what actually happened is the gap shown above.

  5. 5Test it against the other countries

    The whole procedure is re-run pretending each comparison country was the one treated in 2014. India's break ranks 32/35 against those placebos, giving p = 0.914 — well within what chance produces, so this gap is not distinguishable from noise.

Why Indonesia?

Indonesia carries 37% of the weight here — not because it resembles India economically or politically, but because its nominal gdp moved like India’s did between 1984 and 2013. On 19 of the other 27 indicators on this site it carries no weight at all; where it does appear, the largest is foreign exchange reserves at 93%. The blend is re-solved from scratch for every indicator, which is why the same country can dominate one estimate and be absent from the next.

4 of 34 comparison countries carry any weight at all. The rest are assigned zero by the optimiser.

The counterfactual is 'India without the 2014 structural break', estimated from comparator countries. It is not a forecast of any individual's policies. Sources: World Bank WDI API (2026-07-13); IRENA via Our World in Data.