Economics benchmarks – the latest data and analysis
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Key model elements
Former Fed chair Ben Bernanke urged the Bank of England to make several enhancements to its main forecast model in his 2024 review. Though the elements would add much realism to the model, benchmarking data shows that in most areas, his proposals are only in use at a handful of central banks.
To explore the data in more detail, use the benchmarking service’s interactive charts.
Economics departments use multiple coding languages
More than half of central banks use five or more coding languages and tools
Geopolitics is fastest-rising research topic for economists
Research economists are most widely judged on their output of papers
Economists devote up to half of working hours to research
Higher-paid research economists tend to spend more time on own research
Dedicated data units widely used in economics departments
Teams make use of varied microdata in their work
Central banks predict growth more accurately than inflation
AI models may offer more precise forecasts
AI impact and usage growing in central bank economics departments
Regional variation exists, but adoption is increasing across the board
Most key projection models capture policy rates
But respondents rarely disclose policy rate forecasts alongside scenarios
Third of key models now employ endogenous financial sector
Multiple channels of monetary transmission rooted in majority models
Central banks complement traditional models with AI
Time series and semi-structural models remain economists’ choices for forecasting
Working paper production linked to number of PhD economists
Central banks averaged output of roughly 10 working papers last year
Third of economics departments say staffing ‘barely sufficient’
Forecasting, policy analysis and research are economists’ top duties
Economists’ average annual salary rises
Incomes have some relation with GDP per capita and central bank size