Skip to main content

Global Data Indicators

Global Data supports cross-country comparison, macroeconomic research, national panel datasets, and standard control variables. Users mainly work in Dashboard and Export Panel.

Implemented Data Sources

SourceMain role
World BankWDI and development, population, GDP, trade, and social indicators.
IMFMacroeconomic, financial, balance-of-payments, monetary, and CSV batch datasets.
OECDNational accounts, industry, trade, and OECD-country statistics.
EurostatEuropean and regional socio-economic indicators.
ILOLabor, employment, wages, and productivity.
FAOAgriculture, food, land, and production.
WTO, UNCTADTrade, services, capital flows, and integration.
ADBKey indicators, basic statistics, ADO forecasts, climate, and integration indices.
OWID, FRED, SAMADBSupplementary time-series and thematic indicators.

Filtering in Dashboard

  1. Choose global data mode.
  2. Enter a keyword or select a category.
  3. Filter by source if you want a specific provider.
  4. Choose the frequency required by the model.
  5. Set a year range to remove indicators with insufficient coverage.
  6. Prioritize indicators with high completeness.
  7. Open indicator details before selecting.

Common Indicators

GroupSuggested indicators
GrowthGDP, GDP growth, GDP per capita, gross capital formation.
PricesInflation, CPI, GDP deflator, exchange rate.
External sectorExports, imports, trade balance, current account, FDI.
Fiscal and monetaryGovernment revenue, expenditure, debt, money supply, interest rate.
LaborLabor force, employment, unemployment, wages, productivity.
DemographicPopulation, dependency ratio, urban population, migration.
InstitutionsGovernance indicators, regulatory quality, rule of law, corruption control.

Preview Before Export

Check three things when previewing Global Data:

  1. Country coverage: the sample should include the needed countries.
  2. Year coverage: the sample should have enough observations for the model.
  3. Source definition: indicators with the same name can differ across sources.

Using Global Data in Econometrics

Econometrics is designed for preliminary checks. If no specific entity is selected, the backend may aggregate by year. For formal country-panel research, export the full dataset and validate the panel structure in R, Python, Stata, or another analysis environment.