Research Economist - Labor Pricing & Forecasting

AlphaX

United States

A distancia

USD 110.000 - 180.000

Jornada completa

Hace 8 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

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

You will estimate how hiring costs shift across locations and time, assess the effects of competing labor demand, and translate findings into clear recommendations for executives, program leaders, and project teams. Experience with econometric models and proficiency with R or Python are preferred.

Formación

  • PhD preferred in economics, applied economics, econometrics, or a related quantitative field.
  • Experience in labor economics, wage analysis, price forecasting, or workforce modeling.
  • Ability to develop and test econometric or statistical models.
  • Experience with employment, compensation, industry, or regional economic datasets.
  • Ability to translate research into recommendations.

Responsabilidades

  • 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 staffing plans affect project costs.
  • Contribute research methods and findings to proposals and client deliverables.

Conocimientos

Labor economics
Econometric analysis
Policy analysis

Educación

PhD in economics

Herramientas

R
Python
Stata
SAS

Descripción del empleo

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.

  • 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.

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.

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