Research Economist - Labor Pricing & Forecasting

AlphaGov; United States; On-site; USD 110,000 - 170,000; Full time

Job summary

AlphaGov is seeking a Research Economist to support research and consulting on labor markets, wage forecasting, workforce availability, and project cost risk.

You will build forecasts of wages and labor costs, assess how hiring timing shifts demand across locations, and translate results into budgeting guidance for executives.

Requirements include a PhD in economics or related field, strong econometric/statistical skills, and proficiency in R, Python, Stata or SAS.

Qualifications

• PhD preferred in economics or related quantitative field
• Experience in labor economics, wage analysis, price forecasting, or workforce modeling
• Demonstrated ability to develop and test econometric models
• Proficiency in R, Python, Stata, SAS, or comparable tools
• Experience with employment, compensation, industry, or regional economic datasets
• Ability to translate research into clear recommendations for executives and teams

Responsibilities

• Develop and validate forecasts of wages, labor costs, and workforce supply and demand
• Analyze how changes in project timing shift hiring needs into different market conditions
• Evaluate labor mobility, occupational shortages, hiring competition, overtime, and compensation pressure
• Build scenarios showing how alternative hiring dates and staffing plans affect project costs
• Combine public economic data with client staffing, payroll, and project records
• Establish forecast benchmarks, uncertainty ranges, and methods for testing accuracy
• Contribute research methods, narratives, and findings to proposals and client deliverables

Skills

Econometrics

Data analysis

Python

R

Education

PhD in Economics

Tools

R

Python

Stata

SAS

Job description

AlphaGov is seeking a Research Economist to support research and consulting opportunities involving labor markets, wage forecasting, workforce availability, and project cost risk.

We are looking for someone who can estimate how hiring costs change across locations and time periods, assess the effects of competing labor demand, and explain how those changes affect budgets and project decisions.

Scope of Work

• Develop and validate forecasts of wages, labor costs, and workforce supply and demand
• Analyze how changes in project timing shift hiring needs into different market conditions
• Evaluate labor mobility, occupational shortages, hiring competition, overtime, and compensation pressure
• Build scenarios showing how alternative hiring dates and staffing plans affect project costs
• Combine public economic data with client staffing, payroll, and project records
• Establish forecast benchmarks, uncertainty ranges, and methods for testing accuracy
• Contribute research methods, technical narratives, and findings to proposals and client deliverables

Requirements

• PhD preferred in economics, applied economics, econometrics, or a related quantitative field. Comparable applied research experience will be considered
• Experience in labor economics, wage analysis, price forecasting, or workforce modeling
• Demonstrated ability to develop and test econometric or statistical models
• Proficiency in R, Python, Stata, SAS, or comparable analytical tools
• Experience working with employment, compensation, industry, or regional economic datasets
• Ability to translate research into clear recommendations for executives, program leaders, and project teams

Experience with construction, infrastructure, utilities, energy, or skilled-trade labor markets is especially relevant.

Benefits

Assignments are scoped individually, with compensation and time commitments agreed upon before work begins. Opportunities may include proposal development and delivery of awarded projects. Project delivery assignments depend on contract or funding awards and confirmed availability.

Applicants may opt into consideration for future AlphaGov proposals and consulting engagements. Applying does not guarantee an assignment. Any opportunity with a separate affiliated company would be discussed and confirmed separately.