Health economics and health policy with a special focus on cancer research * Causal inference and policy evaluation * Healthcare markets, provider behavior, and provider incentives * Value-based ...
Health economics and health policy with a special focus on cancer research * Causal inference and policy evaluation * Healthcare markets, provider behavior, and provider incentives * Value-based ...
Health economics and health policy with a special focus on cancer research * Causal inference and policy evaluation * Healthcare markets, provider behavior, and provider incentives * Value-based ...
Health economics and health policy with a special focus on cancer research * Causal inference and policy evaluation * Healthcare markets, provider behavior, and provider incentives * Value-based ...
Lead Data Scientist, Predictive Modeling & Causal Inference
$180K - $210K/yr
Design, build, and validate predictive models, from GLMs and causal/econometric methods to deep ... Apply causal inference techniques (quasi-experimental design, uplift modeling, propensity methods ...
Lead Data Scientist, Predictive Modeling & Causal Inference
$180K - $210K/yr
Design, build, and validate predictive models, from GLMs and causal/econometric methods to deep ... Apply causal inference techniques (quasi-experimental design, uplift modeling, propensity methods ...
Design, build, and validate predictive models, from GLMs and causal/econometric methods to deep ... Apply causal inference techniques (quasi-experimental design, uplift modeling, propensity methods ...
Design, build, and validate predictive models, from GLMs and causal/econometric methods to deep ... Apply causal inference techniques (quasi-experimental design, uplift modeling, propensity methods ...
... economics, computer science, etc.), or PhD in relevant fields. * Strong knowledge of causal inference and experimental design. * Strong knowledge of Bayesian modeling and statistical inference.
... economics, computer science, etc.), or PhD in relevant fields. * Strong knowledge of causal inference and experimental design. * Strong knowledge of Bayesian modeling and statistical inference.
You will join a small, senior pod of causal ML and econometrics experts working across ML ... Deep practical experience with causal inference, econometrics, experimentation, or causal ML
You will join a small, senior pod of causal ML and econometrics experts working across ML ... Deep practical experience with causal inference, econometrics, experimentation, or causal ML
Senior Economist
Seattle, WA · On-site
$277K/yr
Senior Economist Expedia Group's Economics and Experimentation Science team is looking for a Senior Economist to drive causal inference and marketplace optimization at scale-impactingbillions of ...
Senior Economist
Seattle, WA · On-site
$277K/yr
Senior Economist Expedia Group's Economics and Experimentation Science team is looking for a Senior Economist to drive causal inference and marketplace optimization at scale-impactingbillions of ...
MS or PhD in Statistics, Biostatistics, Economics (Econometrics), Computer Science, or a related ... Publications or conference presentations on experimentation methodology or causal inference (KDD ...
MS or PhD in Statistics, Biostatistics, Economics (Econometrics), Computer Science, or a related ... Publications or conference presentations on experimentation methodology or causal inference (KDD ...
Apply econometric and causal inference techniques - including difference-in-differences, synthetic control, and Bayesian structural time series - to measure the true incremental effect of marketing ...
Apply econometric and causal inference techniques - including difference-in-differences, synthetic control, and Bayesian structural time series - to measure the true incremental effect of marketing ...
Strong applied-statistics and model-evaluation judgment, including experimentation or causal-inference fundamentals and the ability to contribute to economic or optimization work. Ability to connect ...
Strong applied-statistics and model-evaluation judgment, including experimentation or causal-inference fundamentals and the ability to contribute to economic or optimization work. Ability to connect ...
Strong applied-statistics judgment, including experimentation or causal-inference fundamentals and the ability to contribute meaningfully to economic, forecasting, or optimization work. * Comfortable ...
Strong applied-statistics judgment, including experimentation or causal-inference fundamentals and the ability to contribute meaningfully to economic, forecasting, or optimization work. * Comfortable ...
Deep experience applying economic reasoning, causal inference, and behavioral modeling to real-world decision-making problems. * Demonstrated ability to own ambiguous, high-impact problems and ...
Deep experience applying economic reasoning, causal inference, and behavioral modeling to real-world decision-making problems. * Demonstrated ability to own ambiguous, high-impact problems and ...
We are hiring an Economist on the team to develop the next generation of incrementality measurement ... Key job responsibilities Leverage deep expertise in causal inference to develop robust, causally ...
We are hiring an Economist on the team to develop the next generation of incrementality measurement ... Key job responsibilities Leverage deep expertise in causal inference to develop robust, causally ...
We are hiring an Economist on the team to develop the next generation of incrementality measurement ... Key job responsibilities Leverage deep expertise in causal inference to develop robust, causally ...
We are hiring an Economist on the team to develop the next generation of incrementality measurement ... Key job responsibilities Leverage deep expertise in causal inference to develop robust, causally ...
Deep experience applying economic reasoning, causal inference, and behavioral modeling to real-world decision-making problems. * Demonstrated ability to own ambiguous, high-impact problems and ...
Deep experience applying economic reasoning, causal inference, and behavioral modeling to real-world decision-making problems. * Demonstrated ability to own ambiguous, high-impact problems and ...
Director, GTM Economics & Science
Chicago, IL · On-site
$168K - $269K/yr
... Econometrics, or an equivalent quantitative discipline, such as Applied Economics or Quantitative Marketing, preferred. * Advanced Econometric & Causal Inference Expertise: Deep grounding in causal ...
Director, GTM Economics & Science
Chicago, IL · On-site
$168K - $269K/yr
... Econometrics, or an equivalent quantitative discipline, such as Applied Economics or Quantitative Marketing, preferred. * Advanced Econometric & Causal Inference Expertise: Deep grounding in causal ...
Deep experience applying economic reasoning, causal inference, and behavioral modeling to real-world decision-making problems. * Demonstrated ability to own ambiguous, high-impact problems and ...
Deep experience applying economic reasoning, causal inference, and behavioral modeling to real-world decision-making problems. * Demonstrated ability to own ambiguous, high-impact problems and ...
Advanced econometrics, causal inference, and machine learning methods.Structural econometric modeling, microsimulation, or other advanced quantitative approaches.Experience working with large ...
Advanced econometrics, causal inference, and machine learning methods.Structural econometric modeling, microsimulation, or other advanced quantitative approaches.Experience working with large ...
Data Evaluator/Analyst
Washington, DC · On-site +1
$100/hr
Apply econometrics and statistical modeling, including regression analysis, panel data methods, and causal inference techniques. * Develop analytic frameworks linking facility usage to downstream ...
Data Evaluator/Analyst
Washington, DC · On-site +1
$100/hr
Apply econometrics and statistical modeling, including regression analysis, panel data methods, and causal inference techniques. * Develop analytic frameworks linking facility usage to downstream ...
Research Engineer - Causal AI
San Francisco, CA · On-site
$200K - $250K/yr
Build production systems for causal inference that maintain statistical rigor at enterprise scale ... Background in econometrics, statistics, or computational social science * Experience in marketing ...
Research Engineer - Causal AI
San Francisco, CA · On-site
$200K - $250K/yr
Build production systems for causal inference that maintain statistical rigor at enterprise scale ... Background in econometrics, statistics, or computational social science * Experience in marketing ...
Econometrics Causal Inference information
What is econometrics causal inference?
Econometrics causal inference is a field within econometrics that focuses on identifying and quantifying cause-and-effect relationships using statistical methods and economic theory. Unlike simple correlations, causal inference aims to determine whether a particular action or policy actually causes a specific outcome. This often involves using methods like randomized controlled trials, instrumental variables, difference-in-differences, or regression discontinuity designs to address issues like confounding and bias. Econometricians working in causal inference design studies and analyze data to provide robust evidence for policy-making, business decisions, and academic research.
What are the key skills and qualifications needed to thrive in econometrics causal inference?
To thrive as an Econometrics Causal Inference Specialist, you need strong quantitative analysis skills, a solid background in statistics or economics, and typically a graduate degree in a related field. Familiarity with programming languages like R, Python, or Stata, and experience with econometric modeling software are essential, along with knowledge of causal inference methods such as difference-in-differences or instrumental variables. Strong problem-solving abilities, critical thinking, and clear communication are standout soft skills for translating complex analyses into actionable insights. These competencies are crucial for accurately identifying causal relationships in data and making evidence-based recommendations that impact policy or business decisions.
What are some common challenges faced by professionals working in econometrics causal inference roles?
Professionals in econometrics causal inference roles often encounter challenges related to data quality, model specification, and identifying valid instruments for causal analysis. Ensuring that the assumptions underlying causal inference methods, such as no omitted variable bias or proper randomization, are met can be particularly difficult with real-world data. Collaboration with domain experts and data engineers is frequently necessary to properly interpret results and validate findings. Additionally, effectively communicating complex statistical concepts to non-technical stakeholders is a key part of the job.
What is the difference between Econometrics Causal Inference vs Data Analyst?
| Aspect | Econometrics Causal Inference | Data Analyst |
|---|---|---|
| Required Credentials | Master's or PhD in Economics, Statistics, or related fields | Bachelor's degree in Data Science, Statistics, or related fields |
| Work Environment | Research-focused, academic or policy settings | Business, marketing, or operational environments |
| Employer & Industry Usage | Universities, government agencies, research institutions | Corporations, consulting firms, marketing agencies |
| Common Search & Comparison Intent | Understanding causal relationships in data | Analyzing data for insights and reporting |
Econometrics Causal Inference specialists focus on identifying causal effects using advanced statistical methods, often in research or policy contexts. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require strong analytical skills, Econometrics Causal Inference emphasizes causal modeling and rigorous statistical techniques, whereas Data Analysts focus on data interpretation and visualization.
What other helpful pages are available for Econometrics Causal Inference?
Other pages related to Econometrics Causal Inference:
Assistant Professor - Institute for Health & Humanity
Milwaukee, WI • On-site
Medical College of Wisconsin •
Health Care and Social Assistance • 5 - 10K employees5,001 - 10,000 employees
Full-time
Posted 27 days ago
Medical College Of Wisconsin rating
7.7
Based on 29 frontline employees who took The Breakroom Quiz
262nd of 633 rated colleges and universities
Job description
Position Summary:
The Institute for Health & Humanity's Division of Health Policy, Economics & Data Analytics at the Medical College of Wisconsin invites applications for an endowed faculty position at the Assistant Professor level.
This endowed faculty position supports the development of an innovative, externally funded research program in health economics and health policy. The successful candidate will contribute to a growing portfolio of research addressing the economics of healthcare delivery, financing, and policy, while dedicating a significant portion of their research effort to breast cancer prevention, diagnosis, treatment, survivorship, and outcomes. The position offers exceptional opportunities to develop both disease-specific and broader health economics research through collaborations with nationally recognized investigators across MCW and its extensive clinical, academic, and community partnerships.
Position Highlights:
The successful candidate will:
Develop and sustain an innovative research program in health economics with a special focus on breast cancer care.
Conduct rigorous analyses of healthcare utilization, costs, value, quality, access, reimbursement, and health policy, with a particular emphasis on breast cancer and oncology.
Pursue competitive external funding from agencies such as the National Institutes of Health (NIH), Department of Defense (DoD), Patient-Centered Outcomes Research Institute (PCORI), American Cancer Society (ACS), and other public and private sponsors.
Collaborate with clinicians, epidemiologists, biostatisticians, implementation scientists, public health researchers, and community partners to conduct multidisciplinary research.
Publish high-impact scholarly work in peer-reviewed journals and present findings at national and international scientific meetings.
Mentor graduate and medical students, postdoctoral fellows, residents, and junior clinical investigators.
Contribute to graduate and professional education through teaching and curriculum development, as appropriate.
Participate in departmental, institutional, and professional service activities.
Applicants with expertise in one or more of the following areas are encouraged to apply:
Health economics and health policy with a special focus on cancer research
Causal inference and policy evaluation
Healthcare markets, provider behavior, and provider incentives
Value-based payment and alternative reimbursement models
Health insurance design and healthcare financing, organization and delivery
Healthcare access, utilization, and equity
Economic evaluation
Comparative effectiveness, cost-effectiveness and value-of-information analyses
Population health and implementation economics
Decision science and predictive modeling
Structural econometric modeling
Machine learning and artificial intelligence for health economics and policy research
Cancer, chronic disease, or other population health applications
Qualifications
Minimum Qualifications
PhD in Economics, Health Economics, Labor Economics, or a closely related quantitative discipline with advanced training in econometrics.
Demonstrated expertise in state-of-the-art econometric methods, causal inference, policy evaluation, and advanced quantitative analyses.
Strong computational and programming skills.
Evidence of scholarly productivity and strong potential to establish an independent, externally funded research program.
Excellent written and oral communication skills.
Eligibility for appointment at the rank of Assistant Professor.
Preferred Qualifications
Preference will be given to candidates with demonstrable expertise in one or more of the following:
Advanced econometrics, causal inference, and machine learning methods.
Structural econometric modeling, microsimulation, or other advanced quantitative approaches.
Experience working with large administrative data, insurance claims, electronic health records, cancer registries, or complex survey data.
Demonstrated ability or strong potential to collaborate effectively in multidisciplinary research teams.
Evidence of, or strong potential for, obtaining competitive extramural funding.
Experience in cancer research, chronic disease, or healthcare delivery research is desirable but not required.
#LI-NK1
The Medical College of Wisconsin (MCW) is the state's only private medical school and health sciences graduate school. MCW consists of a School of Medicine with campuses in Milwaukee, Green Bay and Central Wisconsin, a School of Graduate Studies, and a School of Pharmacy. MCW is a major national research center ranking in the top third of U.S. medical schools in NIH funding and is the second largest research institution in Wisconsin. Academic medicine is at the core of everything we do at MCW, bringing together scientists, clinicians, students and community members to solve the most complex challenges in health and society. MCW is a diverse group of thought leaders collaborating to pioneer pathways to a healthier world. Every study we conduct and every patient we see leads to new learning and a continuous cycle of life-changing knowledge and innovation.
Approximately 1,780 MCW physicians and approximately 905 advanced practice providers care for more than 484,000 patients of all ages annually at Froedtert Hospital, Zablocki VA Medical Center, Children's Wisconsin, and many other hospitals and clinics throughout eastern Wisconsin, representing more than 5.1 million patient visits annually.
The beautiful, safe and modern campus of the Milwaukee Regional Medical Center (MRMC) houses Froedtert Hospital, Children's Wisconsin, Curative Care Network, Versiti Blood Research Institute and the Milwaukee County Behavioral Health Division. These member entities share a common mission of excellence in patient care, medical education, biomedical research and community service.
Commitment to MCW Values
All of our endeavors at MCW, from our internal operations to our interactions with our partners, are driven by our shared organizational values: acting inCaringways - engaging inCollaborativeefforts - approaching our world withCuriosity- advancingInclusivepractices - demonstratingIntegrityin all we do - treating everyone withRespect. We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences and perspectives through merit-based processes, and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you.
Milwaukee, the largest city in Wisconsin, is located on Lake Michigan's western shore. A metropolitan area with more than 1.6 million people, Milwaukee is an affordable, comfortable place to live, work, and play, big enough to be exciting and uncongested enough to get around easily. Milwaukee's many neighborhoods have incredible charm, accommodating a variety of lifestyles, from high-rise apartments to small farms. Nestled along a magnificent bluff overlooking Lake Michigan, Milwaukee's downtown is home to botanical gardens, lakefront museums, a theater district, the world champion Milwaukee Bucks, the Milwaukee Brewers, bustling nightlife, and award-winning restaurants. The lake and its harbors are skirted by scenic parklands and provide first-class opportunities for recreation, including hiking, cycling, boating, and more. A recent study ranked Milwaukee as the 15th most walkable of the 50 largest US cities. Milwaukee has all the advantages of a large, vibrant city but without the stress or cost.
MCW as an Equal Opportunity Employer and Commitment to Non-DiscriminationThe Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.
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About Medical College of Wisconsin
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The Medical College of Wisconsin (MCW) is an industry-leading educational institution located in Milwaukee, WI, US. Being part of the medical and health services sector, MCW's primary mission is to educate and train the next generation of healthcare professionals. MCW offers a wide array of degrees and programs within medical and health sciences, covering everything from medical, graduate, pharmacy and health sciences studies, to continuing professional developments and community engagement initiatives. Founded in 1893, MCW boasts a rich, well-entrenched history in shaping the medical education landscape locally and globally. The institution's core values of knowledge-changing life underline its dedication to incorporating innovative approaches in education and research, commitment to diversity and inclusion, service to the community, integrity, stewardship, and collaboration.
Industry
Health care and social assistance
Company size
5,001 - 10,000 Employees
Headquarters location
Milwaukee, WI, US
Year founded
1893