pythonrresearcheconometricsstatapanel datainstrumental variablestwo stage least squaresfirm level microdata
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Текст:
Hirify AI/Оригинал
TL;DR
Postdoctoral Research Associate (Finance): Conducting empirical research on how federal contract R&D affects firm innovation, performance, and economic outcomes with an accent on restricted-use Census microdata, firm-level panels, and applied microeconometrics. Focus on building replicable datasets, implementing panel instrumental variables and two-stage least squares designs, preparing disclosure requests, and coauthoring publications for leading finance and economics journals.
Location: College Station, Texas; work in the Texas Federal Statistical Research Data Center is required, while some pre-clearance research tasks may be performed remotely with university approval.
Salary: $5,981.25 per month.
Company
hirify.global’s Mays Business School is a research and teaching institution with the Adam C. Sinn ’00 Department of Finance.
What you will do
Conduct empirical analysis under approved Census Project TX03195 using restricted-use U.S. Census Bureau firm microdata.
Construct or revise firm-level panels linking federal contract R&D with self-funded R&D, patenting, profitability, market share, and stock returns.
Implement panel instrumental variables and two-stage least squares designs, separating direct effects from spillovers.
Prepare Census disclosure avoidance requests, respond to Disclosure Review Board feedback, and maintain detailed data records and replicable code.
Evaluate results, coauthor papers for leading finance and economics journals, and present findings at conferences and seminars.
Support related research through data retrieval, literature reviews, editing, reporting, and mentoring junior research staff.
Requirements
PhD in economics or finance completed or expected by the start date.
No prior experience is required.
Strong applied microeconometrics skills, particularly panel instrumental variables and two-stage least squares designs.
Ability to build and work with large administrative and firm-level datasets.
Advanced coding skills in Stata or a comparable package such as SAS, R, or Python.
Strong writing skills, critical thinking, attention to detail, ethical standards, discretion, and sound judgment when handling sensitive or confidential information.
Ability to work independently, cooperate with others, maintain integrity and trust, and manage multiple projects simultaneously.
All Special Sworn Status applicants must have lived in the United States or its territories for 36 of the past 60 months and pass a federal background investigation.
Nice to have
Special Sworn Status with the U.S. Census Bureau, with candidates who already hold it strongly preferred.
Experience with restricted-use Census Bureau or Internal Revenue Service data.
Experience with firm-level microdata such as BRDIS, SIRD, RADS, or Compustat.
Research interests in innovation, corporate finance, public economics, or macroeconomics.
Research output or clear potential for placement in a research-active department.
Culture & Benefits
Fixed 15-month appointment on a funded research project measuring firm-level effects of federal contract R&D.
Work may occasionally require weekends or hours outside the normal schedule; funded conference travel is available.
Research before SSS clearance, including code development, literature review, and paper drafting, may be performed remotely with university approval.
Benefits include medical, prescription, dental, vision, life, disability, and flexible spending insurance, plus paid holidays, sick leave, and vacation.
Additional benefits include retirement enrollment, wellness programs, professional development support, tuition assistance, and conference funding.
Hiring process
Submit complete application data or attach a complete resume; incomplete submissions may be rejected.
Include a cover letter and resume, uploaded under CV/Resume.
Employment is contingent on credential verification, criminal history investigation, and any required institutional checks.
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