GCRI · Economic Development

Development economics

Economics and development economics is the science this platform stewards for the network. It explains how economies grow and transform, how resources are allocated, and how shocks and policies affect people’s incomes, with attention to distribution and institutions.

01Register

Development economics on the record.

Method recordSTEM method
  1. MethodEconomics and development economics
  2. StewardEconomic Development
  3. Applied inEconomic Development
  4. Canonical pageSTEM Commons
02Application

What economics and development economics does here.

Economics and development economics study how societies produce, distribute and consume resources and how living standards change. They estimate the costs of shocks and the trade-offs among policy responses. In economic development and development finance, economic analysis quantifies indirect losses as shocks spread through supply chains and labour markets. It supports prioritising investment in prevention and recovery. The canonical description is on the STEM Commons.

Growth diagnostics

The binding constraints on a country’s growth, such as finance, infrastructure, skills or institutions, are identified by checking which symptoms each would produce against the evidence.

Structural transformation analysis

Productivity growth is decomposed into gains within sectors and gains from workers moving between sectors, showing how the economy is changing.

Distributional incidence

The effects of price changes, taxes or subsidies are traced to households by income group using survey data on spending and income.

03Simulator

Stocks, flows, delays and a tipping threshold.

Two stocks, pressure and adaptive capacity, joined by a reinforcing growth loop, a delayed balancing response and damage when pressure outruns capacity; past the threshold the system can tip. Teaching model with stated illustrative values, not a prediction.

Controls

Growth of pressure
6.0% a year
Efficacy of capacity in reducing pressure
4.0% a year
Investment response to perceived pressure
20%
Perception delay
4.0 years
Tipping threshold of pressure
60 index
Amplification past the threshold
2.0 times
Years simulated
50 years

Readouts

Peak pressure
113 index
Capacity at the end
186 index
Years over the threshold
15.8 years
Numbers, methods and sources
YearPressureCapacityPerceived
020.050.020.0
423.344.921.2
827.242.224.0
1231.742.327.7
1636.845.532.2
2042.351.537.2
2447.960.342.6
2853.271.348.0
3257.884.353.1
3666.498.458.4
4082.7115.969.7
4497.8139.783.8
48109.1169.497.3

Methods

  1. System dynamics Forrester (1961), Industrial Dynamics, MIT Press; Sterman (2000), Business Dynamics
  2. Critical transitions and tipping points Scheffer and others (2009), Early-warning signals for critical transitions, Nature 461
  3. Causal loop diagram Sterman (2000), Business Dynamics, McGraw-Hill
  4. Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  5. One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

Data

No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme’s own evidence.

Stocks, flows, delays and a tipping threshold. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: System dynamics (Forrester (1961), Industrial Dynamics, MIT Press; Sterman (2000), Business Dynamics); Critical transitions and tipping points (Scheffer and others (2009), Early-warning signals for critical transitions, Nature 461); Causal loop diagram (Sterman (2000), Business Dynamics, McGraw-Hill).
04Data

What the method consumes.

Datasets and records used by economics and development economics on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.

DataRoleLabel
National accountsOutput and structurePublished statistics
Labour force surveysEmploymentPublished statistics
Household budget surveysDistributionESTIMATED
Firm surveysConstraintsREPORTED
05Methods and evidence

How development economics is modelled, measured and tested.

The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.

Sensitivity analysis

Which inputs move the result for development economics most, one at a time across their stated ranges.

Hazard intensityExposure valueVulnerability curveCoupling strengthAdaptive capacityData resolutioninput at its low valueinput at its high value
Illustrative one-at-a-time sensitivity; a full analysis adds variance-based (Sobol) indices. Not results.
FAIR guiding principles · GO FAIR and FORCE11W3C PROV · World Wide Web ConsortiumGuidance on consistent treatment of uncertainties · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
06Validation

How results are checked.

Models are assessed against historical episodes and out-of-sample data. Parameter estimates are compared across studies and identification strategies.

CheckHow it is done
Data revision checksAnalyses note revisions and rebasing of national accounts
Alternative explanationsDiagnoses consider competing explanations for observed symptoms
Distributional robustnessIncidence results are tested with alternative survey years

Equilibrium models may understate disruption and nonlinear cascades. Informal economies and non-market losses are poorly measured.

08Stewardship

Who maintains the method.

Economic Development stewards economics and development economics for the Consortium and reviews how it is applied across platforms.

09Questions

Questions and answers.

What are the limits of economics and development economics in this field?
Equilibrium models may understate disruption and nonlinear cascades. Informal economies and non-market losses are poorly measured.
How are results checked?
Models are assessed against historical episodes and out-of-sample data. Parameter estimates are compared across studies and identification strategies.
Are the values on this page real?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
Where else is this method applied?
The canonical method page lists every platform that applies it.
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