Economists

Impact: Policy analysis

Conduct research, prepare reports, or formulate plans to address economic problems related to the production and distribution of goods and services or monetary and fiscal policy. May collect and process economic and statistical data using sampling techniques and econometric methods.

What does an Economist do?

What the work is really like

You spend most of your time building models that describe how people, firms, or governments respond to change. That might mean forecasting how a minimum wage increase affects employment in a specific region, estimating the price elasticity of demand for a medical device, or running simulations on how interest rate changes ripple through consumer spending. The output is almost always a written report with tables, charts, and a policy recommendation or business implication attached. You pull data from government databases, proprietary datasets, or surveys you help design. Then you clean it, test assumptions, run regressions in Stata or R, and interpret results that rarely come back clean the first time.

The work cycles between solo analysis and collaborative review. You might spend a morning alone writing code to estimate a demand curve, then present preliminary findings to a team of policy advisors or corporate strategists in the afternoon. Deadlines are firm when tied to legislative sessions, earnings calls, or grant reporting schedules. Revisions are common. A senior economist or a client will question an assumption, and you rebuild the model with adjusted parameters. The intellectual challenge is constant, but the pace is uneven. Some weeks are methodical. Others compress months of work into a sprint because a policy window opened or a competitor moved.

Skills and strengths that matter

Econometric modelling is the technical core. You set up regressions, interpret coefficients, test for endogeneity, and recognise when your model is overfit or misspecified. Stata and R are the standard tools, though Python is creeping in. Most roles expect you to write code that someone else can audit and replicate. Macroeconomic forecasting comes up often in government, central banking, and consulting roles, where you project GDP growth, inflation, or labour market trends from current indicators and historical patterns.

Critical thinking shows up every time you choose which variables to include, which data to trust, and how to frame a result that could be read in contradictory ways depending on the audience. Judgment matters when the data is thin or conflicting, and you still have to make a recommendation. Instructing becomes relevant if you work in academia or policy, where you explain your findings to non-economists who need to act on them. You also spend more time than you expect defending your methodology in writing and in meetings.

The people who last tend to tolerate ambiguity and delayed feedback. Results take weeks or months to validate. You rarely see the direct impact of your work. A tolerance for abstraction helps, because much of what you model is theoretical until someone implements it.

Who tends to thrive here

This career fits people who like working with large datasets and formal logic more than they like working a room. You operate in structured environments with clear hierarchies: government agencies, research institutions, central banks, consulting firms, and policy think tanks. Collaboration happens, though most of your day is spent alone with your screen. If you need frequent social stimulus or immediate feedback, the rhythm here will feel slow and isolating.

People who do well are comfortable with incremental progress and deferred recognition. You might spend six months on a project that informs one chapter of a policy white paper. The work suits those who value intellectual rigor over visibility. It also fits people who want stability. Demand is steady, not booming. The career grows slowly, layoffs are uncommon, and the work is mostly insulated from rapid technological disruption because the methods evolve carefully and the datasets require expert interpretation.

You will find it draining if you prefer concrete, immediate problems or if you want your work to feel urgent every day. The job rewards patience, precision, and a comfort with abstraction. If those sound like liabilities, this is the wrong room.

How people get into the role and grow

A master's degree in economics is the standard entry point, though some government and NGO roles will hire with a bachelor's if you have strong quantitative coursework and relevant internships. PhD holders dominate academic and senior research roles. Most people start as research assistants, cleaning data and running models under supervision, before moving into economist positions where they design studies and write reports independently. That first promotion typically takes three to five years.

Mid-career economists often specialise by sector: labour economics, environmental economics, health economics, or international trade. Some move into policy advisory roles where the work shifts from modelling to translating findings for legislators or executives. Others stay in research and deepen technical expertise. Senior economists manage teams, set research agendas, and represent their organisations in public forums or academic conferences. That stage usually arrives after fifteen years.

Long term prospects are stable, with growth near one percent through 2033 and modest but consistent demand across government, finance, and consulting. The work will not disappear, and it will not multiply either. If the rhythm above matches how you already think, CareerMatch can show you where it sits among the roles that share its shape.

From people working as an Economist

It's a lot of digging into data, building models, and trying to make sense of complex economic trends. You spend a good chunk of your time interpreting numbers and writing reports, always trying to predict what's next or explain what just happened. It can be intellectually stimulating but also demanding, especially when policy decisions hang on your analysis.

Drawn from American Economic Association (AEA), National Bureau of Economic Research (NBER), Economics Stack Exchange, r/Economics, The Economist

Attribution: Composite

Composite · Synthesised from AEA, NBER, Economics Stack Exchange, r/Economics, The Economist, 5-10 years

A day in the life of an Economist

People interaction
Extensive
Team vs solo
75% Team / 25% Solo
Client facing
Sometimes
Impact visibility
Moderate
Travel
Minimal
Schedule flexibility
Flexible
Remote work
Hybrid
Typical work hours
40-50
Stress level
Moderate

Economists salary, education and outlook at a glance

Median salary
$157,592
Entry-level
$107,000
Senior
$212,500
Growth by 2033
+1.2%
Demand
Stable
Freelance potential
Low
Salary growth potential
201%
Typical student debt
Very High

Skills you need as an Economist

Hard skills

  • Econometric Modelling
  • Stata / R Analysis
  • Macroeconomic Forecasting

Soft skills

  • Judgment and Decision Making
  • Instructing
  • Critical Thinking

Technical complexity: Low

Tools an Economist uses

Core tools

  • Stata (Software): Statistical analysis and data management for econometric modeling.
  • R (Language): Statistical computing and graphics for data analysis and visualization.
  • Python (Language): General-purpose programming for data manipulation, statistical analysis, and machine learning.

Commonly used

  • EViews (Software): Econometric modeling, forecasting, and simulation.
  • SAS (Software): Advanced analytics, multivariate analysis, and business intelligence.
  • Microsoft Excel (Software): Data organization, basic calculations, and presentation of economic data.

Specialist tools

  • MATLAB (Software): Numerical computing, algorithm development, and data visualization.

How to become an Economist

Minimum education
Master's Degree
Licensing
No
Years to mid-career
5-9
Years to senior
15-20
Career switching
Hard

Where an Economist comes from

  • Data Analyst: Transitioning from analyzing data to applying economic theories for deeper insights.
  • Financial Analyst: Moving from financial market analysis to broader economic forecasting and policy implications.
  • Statistician: Shifting from statistical methodology to applying statistical techniques within an economic framework.

Where an Economist goes next

  • Policy Advisor: Applying economic expertise to inform and shape public policy decisions.
  • Quantitative Analyst (Quant): Utilizing advanced mathematical and statistical methods for financial modeling and risk management.
  • University Professor (Economics): Transitioning to academia to teach and conduct research in economics.

Typical Economists progression

  1. Social Science Research Assistants
  2. Economists
  3. or Environmental Economists

Economists job outlook and future demand

Automation probability
0.2428
AI disruption risk
Low
Demand trend
Stable

Job satisfaction as an Economist

Overall satisfaction
7.8/10
Meaning
8.5/10
Work-life balance
7/10
Prestige
8.5/10
Social perception
Very High

Where an Economist finds community

Professional organisations

Podcasts and media

Reddit communities

  • r/Economics: A subreddit for discussions and news related to economics.

Online communities

Questions people ask about an Economist

How much does an Economist earn?

Pay for an Economist starts around $107,000 at entry level, reaches $157,592 at the median and climbs to $212,500 for the most experienced.

What qualifications does an Economist need?

Most employers look for a Master's Degree, no licensing is required and reaching mid-career takes about 5-9 years.

Can an Economist work remotely?

Employers commonly split the week between home and the workplace.

What is the job outlook for Economists?

Projections put employment growth at +1.2% through 2033, with demand rated Stable.

How exposed is an Economist to automation and AI?

This work carries a low risk of disruption from AI.

Careers similar to Economists

Are Economists the right career for you?

Take the 25-minute assessment and get your personalised top career matches.

Try for free