CDS Economics · Formula sheet
National Income, Growth and Development Indicators formulas
5 formulas, 15 reference tables and 31 common traps for CDS Economics National Income, Growth and Development Indicators, grouped by subtopic.
National Income Measures
Learn this subtopic in the notesFrom GDP to national income
National income from GDP
- GDP at market prices
- net factor income from abroad
- NNP at factor cost, the national income
Real and nominal GDP, the deflator and GDP per head
GDP deflator
Who measures national income in India
| Item | Fact |
|---|---|
| Compiled by | National Statistical Office (MoSPI) |
| Base year since 2015 | 2011-12 (was 2004-05)Q CDS 2017 (II): the new series moved the base year to 2011-12. |
| Headline measure in the new series | GVA at basic prices |
| NSO household and enterprise surveys | PLFS, unincorporated enterprises, social consumption (health), modular survey on telecom and ICT skillsQ CDS 2025 (II): all four of these surveys are MoSPI's. |
How the sectors share India's output
| Claim | True or false | Holds for |
|---|---|---|
| Services make up more than half of India's GVA | True | 2010s to nowQ |
| The share of services has fallen | False: it has risen sharply | Since the 1990sQ CDS 2016 (II): the share of services increased sharply. |
| Services growth is more volatile than farm growth | False: farm growth is the volatile one | Monsoon years |
| Horticulture output is larger than foodgrain output | True | Economic Survey 2025-26Q CDS 2026 (II) asked this from the Economic Survey 2025-26. |
| India is the sixth largest economy, just ahead of France | True then | World Bank data for 2017; India has since moved up to fourth (IMF, 2025)Q |
Common traps
Domestic is not national
Factor cost removes taxes and adds back subsidies
The deflator does measure inflation
The RBI does not compute GDP
Manufacturing did not shrink
A GDP rank needs its year
Macroeconomic Theory
Learn this subtopic in the notesClassical economics and Keynes
| Idea | Who or what | Meaning |
|---|---|---|
| Unemployment is temporary | Classical school | Flexible wages and prices restore full employmentQ CDS 2016 (II): classical theory treats departures from full employment as purely temporary. |
| Employment depends on effective demand | J. M. Keynes | Aggregate demand meets aggregate supplyQ |
| Deficit financing | J. M. Keynes | Spend beyond revenue to lift demand in a slumpQ CDS 2022 (I): Keynes first mooted deficit financing. |
| Recessionary gap | Output below potential | Resources lie idleQ |
| Crowding in | Public investment | Raises private investmentQ CDS 2026 (II): crowding in is public investment leading to more private investment. |
Later ideas and their authors
| Idea | Author |
|---|---|
| Natural rate of unemployment | Milton Friedman (and Edmund Phelps)Q |
| Phillips curve | A. W. Phillips |
| Relative income hypothesis | James Duesenberry |
| Life cycle hypothesis | Franco Modigliani, Albert Ando, Richard BrumbergQ CDS 2019 (I): consumption depending on resources, the return on capital and age is the life cycle hypothesis. |
| Permanent income hypothesis | Milton Friedman |
| Capitalism underdeveloped the periphery by not exploiting it enough | Geoffrey KayQ |
The economic curves
| Curve | Plots |
|---|---|
| Lorenz curve | Inequality of income or wealthQ CDS 2019 (II): the Gini coefficient measures income inequality. |
| Phillips curve | Inflation and unemployment |
| Engel curve | Income and the share spent on food |
| Laffer curve | Tax rate and tax revenue |
| 45-degree line | X equals Y, with both in the same unitQ |
| Credit to GDP ratio | Position in the financial cycleQ CDS 2025 (II): credit to GDP, not the fiscal deficit, tracks the financial cycle. |
Common traps
Effective demand, not aggregate demand alone
Crowding in is the opposite of crowding out
Phillips drew the curve, Friedman limited it
Deepening is per worker
The Gini measures inequality, not poverty
Phillips is inflation, Laffer is tax
Employment and Unemployment
Learn this subtopic in the notesLabour force rates and the PLFS
Unemployment rate from LFPR and WPR
- labour force participation rate, per cent of population
- worker population ratio, per cent of population
Kinds of unemployment
| Kind | Cause | Example |
|---|---|---|
| Frictional | Changing or searching for a job | A graduate waiting for the first offer |
| Structural | Skills or places do not match the vacancies; new technology | Typists after computers spreadQ CDS 2021 (I): a mismatch between vacancies and available workers is structural unemployment. |
| Cyclical | A fall in total demand | Factory layoffs in a recession |
| Disguised | Too many hands on one job | Seven family members on a farm that needs four |
| Seasonal | Work only in one season | Farm labour after the harvest |
The demographic dividend
| Term | Meaning |
|---|---|
| Demographic dividend | Growth from a higher share of working-age peopleQ Asked twice: CDS 2017 (II) and 2019 (II). |
| Working-age population | People aged about 15 to 64 |
| Dependency ratio | Children and old people for each person of working age |
Common traps
Disguised workers look employed
Unemployment rate is out of the labour force
It is about the age mix, not the total
Poverty and Its Measurement
Learn this subtopic in the notesThe Multidimensional Poverty Index
Multidimensional Poverty Index
- headcount ratio: share of the population that is poor
- intensity: average share of weighted indicators in which the poor are deprived
Poverty lines and the committees
| Year | Body | Key point |
|---|---|---|
| 1901 | Dadabhai Naoroji | First estimate of a poverty lineQ |
| 1979 | Alagh Task Force | 2,400 calories rural, 2,100 urbanQ |
| 1993 | Lakdawala Committee | State-wise calorie-based lines, uniform reference period |
| 2009 | Tendulkar Committee | No calorie anchor; urban basket as reference; mixed reference period; 21.9 per cent poor in 2011-12Q CDS 2024 (I): Tendulkar used the all-India urban basket as the reference, and did not anchor to calories. |
| 2014 | Rangarajan Committee | Food plus normative non-food plus behavioural non-food; 29.5 per cent poor in 2011-12Q |
Common traps
Rural calories are higher, not lower
Tendulkar moved away from calories
Years of schooling, not literacy
100 days, unskilled, rural
UBI is universal
Human Development and Global Indices
Learn this subtopic in the notesThe Human Development Index
Human Development Index
- dimension index: (actual − minimum) ÷ (maximum − minimum)
The idea of human development
| Item | Fact |
|---|---|
| Concept of human development | Mahbub ul Haq, first Human Development Report 1990Q |
| Four pillars | Equity, sustainability, productivity, empowermentQ CDS 2023 (II): security is not one of the pillars. |
| Basic needs approach | Proposed by the ILO; six needs from health to housingQ |
| Capability approach | Amartya Sen |
| Gross National Happiness | Bhutan, the only country to adopt it officiallyQ |
Gender, health and social spending
| Measure | Fact |
|---|---|
| Gender Inequality Index | Reproductive health, empowerment, labour market; 0 means equalityQ |
| Infant mortality, India | About 28 per 1,000 live births (2020); not comparable to China, the USA or Sri LankaQ |
| Life expectancy, India | Female above male; urban above ruralQ CDS 2022 (II): male life expectancy above female is what you would not see. |
| Education spending, 2014 to 2019 | About 3 per cent of GDP, stagnantQ |
Global indices and India's rank
| Index | Published by | India, with year |
|---|---|---|
| Global Competitiveness Index | World Economic Forum | Three sub-indices in 2016-17; no life expectancy sub-indexQ |
| Ease of Doing Business | World Bank (stopped 2021) | 142 in 2014 to 63 in 2019; registering property worsenedQ |
| Global Innovation Index | WIPO | 81 in 2015, 40 in 2023, 39 in 2024Q Asked twice: CDS 2024 (I) and 2025 (II). |
| SDG India Index | NITI Aayog | 2020-21 bottom three: Bihar, Jharkhand, AssamQ |
Common traps
Haq built it, Sen shaped the idea
Mortality is not an HDI indicator
Order ranks with the report's year
Property and income are not GII dimensions
A rank is true only for its year
Overall rank up, one parameter down
Industrial Policy
Learn this subtopic in the notesThe IIP and the eight core industries
| Core industry | Weight in the core index (per cent) |
|---|---|
| Refinery products | 28.04 |
| Electricity | 19.85 |
| Steel | 17.92 |
| Coal | 10.33 |
| Crude oil | 8.98 |
| Natural gas | 6.88Q CDS 2018 (I): natural gas was the core industry with negative growth in 2015-16. |
| Cement | 5.37 |
| Fertilizers | 2.63 |
Maharatna, Navratna and Miniratna companies
| Company | Status | Note |
|---|---|---|
| Coal India Limited | Maharatna | World's largest coal producer; headquarters Kolkata, not RanchiQ |
| IndianOil Corporation | Maharatna | Oil refining and marketing |
| GAIL (India) | Maharatna | Natural gas |
| Bharat Petroleum | Maharatna | Upgraded in 2017 |
| Bharat Electronics | Navratna | Defence electronics |
Industrial schemes and missions
| Scheme | Year | Aim |
|---|---|---|
| Invest India | 2009 | National investment promotion and facilitation agency; non-profit joint ventureQ |
| Make in India | 2014 | Investment, innovation, skills, manufacturing infrastructureQ CDS 2019 (II): launched in 2014, not 2018. |
| Startup India Fund of Funds 2.0 | 2025 | About ₹10,000 crore for deep-tech startups, run through SIDBIQ |
| Atmanirbhar Bharat | 2020 | Manufacturing and exports; foreign investment in domestic productionQ |
| PM MITRA | 2021 | Integrated textile and apparel parks |
Common traps
Two different bodies
Primary goods outweigh capital goods
Coal India sits in Kolkata
SIDBI runs the startup fund, not NITI Aayog
Old sectors are not sunrise sectors