Hire the best Econometrics Specialists in Illinois

Check out Econometrics Specialists in Illinois with the skills you need for your next job.
  • $60 hourly
    Hi there! I'm Arthur, and I'm thrilled to bring my unique skill set and expertise to your projects. With a strong foundation in statistics and a background in economics from an elite Ivy League institution, I'm your go-to professional for data-driven solutions. My proficiency in programming languages like Stata, Python, SQL, and C++ allows me to manipulate and analyze data with precision and efficiency. Whether it's cleaning, processing, or extracting insights, I've got it covered. Armed with a solid statistics and econometrics background, I possess the analytical prowess to turn complex data into actionable insights. From hypothesis testing to predictive modeling, I can help you make informed decisions. Whether you're a business looking to optimize strategies or an individual seeking data-driven insights, I'm here to make it happen.
    vsuc_fltilesrefresh_TrophyIcon Econometrics
    Data Collection
    C++
    Academic Research
    Stata
    SQL
    Python
    Data Visualization
    Data Analytics
  • $125 hourly
    Sara R. Rutledge has a diverse, 25-year background in real estate research and economics and founded her company, SRR Consulting, in 2018. Her rich experience working with data providers, brokerage services, and investment management makes SRR Consulting unique in its capabilities to support a wide variety of real estate decisions. Ms. Rutledge began her real estate career in 1999 with Atlanta-based Jamison Research Inc., learning about the industry directly from market participants. After the firm was acquired by CoStar Group, she moved into research for brokerage services at Delta Associates, then the research affiliate of Transwestern. She jumped at this role for the opportunity to initiate market research coverage of major metros in her native state of Texas. Her success in creating new market coverage for Dallas/Fort Worth and Houston led to the responsibility for additional market coverage in Austin, Phoenix, Los Angeles/Orange County, and Chicago. Ms. Rutledge then joined the research team at Invesco Real Estate in 2005 to apply her strengths in econometric analysis to real estate investment strategy. She developed strategy for direct real estate investment in major Western U.S. metros and the national industrial market as the research member of an interdisciplinary team. For property sector strategy, she developed an econometric model to analyze relative real estate investment performance across markets for each property type. She also developed an econometric model to forecast U.S. real gross domestic product and lead the economic view underpinning the team’s real estate forecasts. During her tenure at Invesco, Ms. Rutledge spent four semesters as an Adjunct Professor of Research Methods at her alma mater, the University of North Texas. The course was taught in her former department, the Institute of Applied Economics, which has since been combined into the Department of Economics. Ms. Rutledge moved into a leadership role in 2013, joining CBRE as their Director of Research and Analysis for Texas. She led research functions and staff for Texas and Oklahoma, ensuring accuracy and comprehensiveness of reporting on their proprietary data, preparing white papers, delivering presentations, and engaging with the media. She integrated research activities in energy-driven markets into CBRE’s global Energy Industry Vertical and prepared an Americas-level report on real estate opportunities in these areas. Her expertise in working with real estate data and managing research processes opened a new opportunity to join the private equity real estate investment industry association. Ms. Rutledge left Texas for Chicago to serve as the Director of Research for the National Council of Real Estate Investment Fiduciaries (NCREIF), managing all research activities for the association. She provided outreach and education for NCREIF data product releases via a live webinar presentation, in-house Performance Report, and ad-hoc member and media inquiries. Ms. Rutledge also worked with an early-stage data science start-up serving the real estate industry. As Managing Director of Real Estate Products at StratoDem Analytics (acquired by Altus in 2021), she ensured existing and new products within their research platform met the research needs of the real estate industry. She was responsible for product development, content creation, and UI/UX design and worked with prospects and clients to incorporate the SAAS platform into existing research processes. In 2022, Ms. Rutledge took a hiatus from SRR Consulting to join StepStone Real Estate as Managing Director and Head of Global Market Research to build-out their team-wide House Views process. The resulting biannual report and webinar informed clients about the global macroeconomic view, real estate performance projections, and country/property type portfolio positioning. She also worked with parent company (StepStone Group) leadership and risk management to define firm-wide macroeconomic views underlying private equity investment strategies across asset classes. After developing and running these projects for two years, Ms. Rutledge relaunched her business in 2024 with new subscription options added to her bespoke research services. She has co-authored two academic papers on real estate performance topics. The Real Estate Research Institute-funded “No Encore for Non-core? Property-level returns in the private real estate market” added a property-level analysis to existing research on the benefits, or lack thereof, of including non-core real estate in core portfolios. In “The Impact of Hurricanes on the Value and Returns for Commercial Real Estate”, published in Business Economics, she explored the duration and impact of the most damaging hurricanes on real estate values with her NCREIF colleague, Dr. Fisher.
    vsuc_fltilesrefresh_TrophyIcon Econometrics
    Research Summary
    Research Papers
    Investment Portfolio Review
    Data Analysis
    Economic Analysis
    Research & Strategy
    Real Estate Investment Assistance
    Research Methods
    Economics
    Market Analysis
    Investment Strategy
    Investment Research
    Real Estate
  • $85 hourly
    PhD economist | Financial mathematics| Econometrics, data analysis | Macroeconomics | Risk | AI | Monetary policy | Model development | Visualization | Matlab, C++, Python, R, LaTex | Github - Financial mathematics (asset, derivatives pricing models, stochastic calculus, statistics and probability theory, principal component analysis) - Econometrics, data analysis (time series analysis, impulse response analysis, cointegration, ECM, GARCH, cointegration, error correction models (ECM) - Fixed income, yield curve estimation - Credit and operational risk - Monetary policy - Deep learning - Matlab, Python, Visualization Matplotlib - Fluent French, Spanish, studied Russian and Arabic. ACCOMLISHMENTS - My paper Macroeconomic, finance, and yield curve factor estimates of the term structure of bond risk premia compares and interprets macroeconomic and yield curve factors that drive excess returns of US Treasury bonds - Lecturer finance, Driehaus School of Business; Northwestern, University of Chicago Macro and microeconomics, money and banking, international finance - KPMG, Risk Management Advisory Group (Chicago IL) Manager • Authored review of prepayment models for borrower refinancing choice and valuation of mortgage securities • Developed white paper and deck for best practices in operational risk - Protiviti, Senior analyst. Developed Loss Distribution approach (LDA) models of operational risk, including a Poisson regression model of loss frequencies. Validated operational risk and credit risk models for a large international bank. Validated and developed benchmark models for a CCAR submission - RCF FInancial and Economic Consulting Developed Loss-Distribution Approach (LDA) operational risk models and software for global bank. Authored reports for client global risk management group: 1) theory, 2) technical guide, and 3) Matlab software documentation.
    vsuc_fltilesrefresh_TrophyIcon Econometrics
    Financial Model
    Visualization
    Probability Theory
    GitHub
    Valuation
    Data Analysis
    Risk Management
    Statistics
    Time Series Analysis
    R
    Python
    Machine Learning
    MATLAB
    C++
  • $15 hourly
    I am a graduate of DePaul's Kellstadt Graduate School of Business, with a degree in Economics and Policy Analysis with distinction. I am currently working in the financial services and banking industry. As a student, I completed courses in applied microeconomics, econometrics, finance, business statistics, and accounting. I graduated summa cum laude with a Bachelor of Arts in Economics Honors, with a minor in Finance. I received numerous awards for outstanding academic performance, including the Dean's Award for Scholastic Excellence and the Dean's List.
    vsuc_fltilesrefresh_TrophyIcon Econometrics
    Management Skills
    Microeconomics
    Finance & Accounting
    Business Presentation
    Economics
    Accounting
    Business Management
    Policy Analysis
    Relationship Management
    Analytical Presentation
    Statistics
    Data Analysis
  • $55 hourly
    As a working data scientist and STEM student, I specialize in transforming complex business and research challenges into clear, data-centric solutions. My approach combines analytical and engineering expertise with a practical focus on measurable outcomes. I prioritize actionable insights, ensuring that every project not only solves the problem in a measurable manner but also drives continuous improvements.
    vsuc_fltilesrefresh_TrophyIcon Econometrics
    Analytics Dashboard
    Web Application Development
    Computer Vision
    Natural Language Processing
    Recommendation System
    Machine Learning
    Bayesian Statistics
    Amazon Web Services
    Google Cloud Platform
    Docker
    Statistical Analysis
    SQL
    R
    Python
  • $100 hourly
    I have a track record of innovation in developing original and effective solutions to challenging financial markets, statistical, optimization, and data science problems. My primary skills include programming, statistical and econometric methods, optimization, and simulation methods. I do most of my coding Python, R, and VBA. I am familiar with many specialized Python and R packages. Recently, I've been working more on data science problems, particularly those related to NLP. I have developed experience with a broad range of tools, including SciKitLearn, Keras, TensforFlow, word2vec, FastText, GenSim, neural nets, and the sec2sec tf library. Currently, my NLP focus is Attention modeling. Regarding some highlights of my prior work, the resampled optimization algorithm in Morningstar's EnCorr portfolio optimization suite is an example of my algorithmic work. (See U.S. Patent Application 2003/195831, “Portfolio Construction using Resampled Efficient Frontiers and Interval-Associated Groups,” published October 16, 2003.) This method is still in commercial use (see the Morningstar document "Morningstar EnCorr Resampling Mean Variance Optimization" at gladmainnew.morningstar.com/clientcomm/Resampling.pdf). My article "Stability is the Risk Dimension of Equity Style,"​ appearing in the Fall 2014 issue of the Journal of Investing, provides and example of my research skills. The article is based on permuatation-based statistical methods to provide powerful tests to characterize the performance of a new type of equity style index, and is linked below. Other articles, papers, patents, and patent applications related to my work can be found on my linked in profile at url (with spaces removed) linkedin.com /in/ barry-feldman-030 7915.
    vsuc_fltilesrefresh_TrophyIcon Econometrics
    Keras
    Natural Language Processing
    Writing
    Visual Basic for Applications
    Python Scikit-Learn
    R
    SAS
    Python
    SQL
  • $20 hourly
    I am a student providing research services. I have experience with data collection, data manipulation, and analysis. I am proficient in using R, Stata, and LaTeX. I am always willing to learn and improve my skills.
    vsuc_fltilesrefresh_TrophyIcon Econometrics
    LaTeX
    Microsoft Office
    Review
    R
    Stata
  • $8 hourly
    I am a highly motivated and enthusiastic professional in the field of research analysis, with a particular focus in econometric analysis and international development. I have over 6 years of experience in data entry and statistical analysis, both directly through work placements and indirectly through my university education. I am highly proficient in multiple statistical tools, such as R and Stata. In addition, I am a very fast learner and would be able to perfectly adapt to your preferred methods and/or tools. I possess excellent attention to detail and always produce high quality work, even under short time constraints. I would be able to begin new work immediately and look forward to speaking to you regarding your current projects and specific needs.
    vsuc_fltilesrefresh_TrophyIcon Econometrics
    Mailchimp
    MailerLite
    English to Spanish Translation
    Editing & Proofreading
    International Development
    Data Entry
    Microsoft Office
    Geospatial Data
    Survey Data Analysis
    Statistical Analysis
    LaTeX
    Stata
    R
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