Economy · indicator 3
Services exports
Modi aheadRahul India
$142.9bn
synthetic 2019
Modi India
$214.8bn
actual 2019
Difference
+50%
vs counterfactual
Placebo rank
—
not tested
What this measures
Services exports is the dollar value of services India sells abroad — software, business processing, travel. A rising number is an improvement.
India stood at $149.2bn in 2013, before the two paths separate. By 2019 Modi’s current India had risen to $214.8bn, while Rahul’s India — the blend of comparison countries that tracked India before 2014 — reached $142.9bn.
That leaves Modi’s current India 50% higher than Rahul’s India — better than where comparable economies ended up. But Rahul’s India missed India’s own pre-2014 path by 42.1%, so this difference should not be read as an effect.
Both paths, 1984–2019
Weights fitted on 1984-2013 only; the counterfactual is projected across 2014-2019.
Divergence
Modi India minus Rahul India, in USD.
What Rahul’s India is made of
Donor weights, solved on pre-2014 data. 31 countries in the pool; those not listed carry zero weight.
- China60.8%
- Ethiopia39.2%
Method & reliability
- Measure
- services_exp_usd
- Source type
- Direct measure
- Estimation window
- 1984-2013
- Projection window
- 2014-2019
- Donor pool
- 31 countries
- Pre-2014 fit (RMSPE)
- 42.1% of pre-period mean
- Placebo rank
- not tested
- Standardised p-value
- not tested
- BH-adjusted q across tier 1
- —
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.
Pre-2014 fit is 42.1% of the pre-period mean. The method could not reproduce India’s own path before 2014, so the post-2014 difference is not interpretable as an effect.
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.
1Describe India before 2014
India's services exports 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.
2Find the blend that matches it
Each of the 31 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.
3Check the match is good enough
The blend misses India's actual pre-2014 path by 42.1% on average. That is too loose to interpret — the post-2014 difference is not reported as an effect.
4Project it forward and compare
The weights are frozen and applied to 2014-2019, years the optimiser never saw. That projection is Rahul's India. The difference against what actually happened is the gap shown above.
5Test it against the other countries
Not placebo-tested.
Why China?
China carries 61% of the weight here — not because it resembles India economically or politically, but because its services exports moved like India’s did between 1984 and 2013. On 15 of the other 27 indicators on this site it carries no weight at all; where it does appear, the largest is catastrophic health spending (health-coverage proxy) at 52%. 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.
2 of 31 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.