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Development economics is the branch of economics that studies why incomes, health, education and living standards differ across countries and households, and which policies and institutions change those outcomes, with particular attention to low- and middle-income economies. This guide is for students and early-career researchers who need to place a project in the field, find the right classification code, decide who counts as a “developing” economy in data work, and cite the evidence base correctly.
What is development economics?
Development economics asks two linked questions: what explains differences in economic outcomes between and within countries, and what interventions measurably improve them. It draws on macroeconomics (growth, trade, public finance), microeconomics (household behaviour, markets, credit) and applied statistics. For the wider discipline see what is economics; for the statistical toolkit most empirical work relies on see what is econometrics.
Development economics vs economic development
“Economic development” is the process: sustained improvement in a population’s economic wellbeing, often discussed alongside structural change, human development and income distribution. “Development economics” is the academic field that studies that process. The distinction matters when searching: databases and indexes file the field’s literature under “Economic Development” subject headings, as the next section shows.
Main research areas: the JEL O1 map
The American Economic Association’s JEL classification places the field under category O, “Economic Development, Innovation, Technological Change, and Growth”, and subcategory O1, “Economic Development”. The O1 codes below are the ones to assign to a manuscript or to use when filtering EconLit (AEA JEL codes page, read 2026-11-11). For the full system see JEL codes.
| Code | Official label |
|---|---|
| O10 | General |
| O11 | Macroeconomic Analyses of Economic Development |
| O12 | Microeconomic Analyses of Economic Development |
| O13 | Agriculture, Natural Resources, Energy, Environment, Other Primary Products |
| O14 | Industrialization, Manufacturing and Service Industries, Choice of Technology |
| O15 | Human Resources, Human Development, Income Distribution, Migration |
| O16 | Financial Markets, Saving and Capital Investment, Corporate Finance and Governance |
| O17 | Formal and Informal Sectors, Shadow Economy, Institutional Arrangements |
| O18 | Urban, Rural, Regional, and Transportation Analysis, Housing, Infrastructure |
| O19 | International Linkages to Development, Role of International Organizations |
Many development papers carry a second code outside O1, for example in labour, health or public economics. Choose the code that matches the paper’s main contribution rather than its setting.
Which countries count as developing? World Bank income groups
There is no single official definition of a “developing” country, so empirical work usually relies on the World Bank’s income classification. The World Bank assigns every economy to one of four groups, low, lower-middle, upper-middle and high income, based on gross national income (GNI) per capita in current US dollars, calculated with the Atlas method. The classification is updated each year on July 1 using the previous year’s data, and the thresholds are adjusted annually for inflation (World Bank Data Blog, read 2026-11-11).
For fiscal year 2027 (July 2026 to June 2027), based on 2025 GNI per capita, the World Bank Data Help Desk lists these thresholds (read 2026-11-11):
| Group | GNI per capita (Atlas, US$) |
|---|---|
| Low income | $1,175 or less |
| Lower-middle income | $1,176 to $4,635 |
| Upper-middle income | $4,636 to $14,375 |
| High income | Above the upper-middle ceiling (about $14,375) |
Because the thresholds move every July, a study should state which fiscal-year classification it used. Health and funder documents often use the related label covered in low- and middle-income countries (LMIC).
The experimental turn: randomized evaluations
The field’s best-known methodological shift is the use of field experiments. In 2019 the Nobel Memorial Prize in Economic Sciences went to Abhijit Banerjee, Esther Duflo and Michael Kremer; the Royal Swedish Academy of Sciences said that “in just two decades, their new experiment-based approach has transformed development economics” (as quoted by NBER, read 2026-11-11). NBER describes their work as promoting randomized controlled trials to evaluate policies in health, education, credit markets and local governance.
In practice this means assigning households, schools or villages to a programme or a comparison group at random, then comparing outcomes. See randomized controlled trial (RCT) for the definition and pre-analysis plan for how analyses are registered in advance; EGAP is a network that supports field experiments in governance and politics. Observational and macro-level methods remain central for questions that cannot be randomized, such as the long-run effects of institutions.
Where the data come from
- World Bank data: country indicators, including the GNI series behind the income groups.
- Penn World Table: cross-country income, output, input and productivity comparisons across many countries and years.
Cite the dataset version and access date each time; classifications and indicator values are revised.
Common mistakes
- Using “developing” and an income group interchangeably without naming the classification and fiscal year.
- Treating a 2019 Nobel citation as proof that randomization suits every question; the Academy’s wording is that questions are often best answered through carefully designed experiments among the people most affected, not always.
- Assigning only JEL O10 when a more specific O11 to O19 code applies.
FAQ
What is development economics in simple terms?
It is the study of why some economies are richer or healthier than others and what policies reduce poverty and raise living standards, especially in low- and middle-income countries.
Is development economics the same as economic development?
No. Economic development is the process of improving economic wellbeing; development economics is the field that studies it.
What JEL code is development economics?
O1, “Economic Development”, with subcodes O10 to O19 (AEA JEL classification).
Who won the Nobel Prize for development economics?
The 2019 prize in economic sciences went to Abhijit Banerjee, Esther Duflo and Michael Kremer for their experiment-based approach to alleviating global poverty, per the Academy citation quoted by NBER.
How does the World Bank classify countries by income?
By GNI per capita (Atlas method) into low, lower-middle, upper-middle and high income, updated each July 1.
Sources
- American Economic Association, JEL Classification System, read 2026-11-11.
- World Bank, World Bank Country and Lending Groups, read 2026-11-11.
- World Bank Data Blog, Understanding country income: World Bank Group income classifications, read 2026-11-11.
- NBER, Nobel Prize winners in economics 2019, read 2026-11-11.
