How is Econometrics used?
Zippia reviewed thousands of resumes to understand how econometrics is used in different jobs. Explore the list of common job responsibilities related to econometrics below:
- Prepared and delivered lectures to undergraduate or graduate students on topics such as econometrics, price theory, and macroeconomics.
- Designed the industrial organization and game theory class, and redesigned the econometrics class.
- Developed and taught classes in economics, finance and econometrics.
- Graduate and Undergraduate courses in Economic Theory; International Economics; Econometrics
- Full pedagogical responsibilities for the following courses: Statistics Econometrics Macroeconomics Microeconomics International Economics/Finance
- Utilized various econometrics techniques and statistical methods to assist in regression analysis.
Are Econometrics skills in demand?
Yes, econometrics skills are in demand today. Currently, 1,396 job openings list econometrics skills as a requirement. The job descriptions that most frequently include econometrics skills are assistant professor of economics, economic development internship, and senior economist.
How hard is it to learn Econometrics?
Based on the average complexity level of the jobs that use econometrics the most: assistant professor of economics, economic development internship, and senior economist. The complexity level of these jobs is advanced.
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What jobs can you get with Econometrics skills?
You can get a job as a assistant professor of economics, economic development internship, and senior economist with econometrics skills. After analyzing resumes and job postings, we identified these as the most common job titles for candidates with econometrics skills.
Assistant Professor Of Economics
Job description:
An assistant professor of economics teaches students and provides academic support to professors and other staff at universities and colleges. Part of their job includes arranging various activities, facilitating discussions, preparing coursework and lesson plans, administering quizzes and examinations, and monitoring the students' academic progress. They may also perform clerical tasks, work as part of committees, and even participate in various research programs. Moreover, it is also their responsibility to maintain an active communication line with professors and department heads, working together in maintaining an effective and safe learning environment for everyone.
- Econometrics
- Conduct Research
- Professional Development
- Macro
- Graduate Courses
- Research Paper
Economic Development Internship
Job description:
An economic development intern is responsible for supporting an organization's market performance, analyzing trends in the industry, and strategizing techniques to improve business services. Economic development interns perform administrative duties under the supervision of tenured staff and managers. They compile business and financial reports, update information on the database, respond to clients' inquiries and concerns, escalate complaints, and schedule appointments. An economic development intern may also assist in facilitating economic programs and other initiative developments.
- Stata
- SQL
- Econometrics
- PowerPoint
- Data Analysis
- Litigation
Senior Economist
Job description:
Senior economists are professionals who perform complex research on topics about economics and policies related to the financial field, such as banking, international regulations, and monetary policies. These economists manage a team of economists and assign staff in research projects to ensure that their deliverables are accurate and present. They must provide business owners with recommendations to address problem areas that are identified through the analysis of data. Senior economists must also assist statistician in performing data analysis and research.
- Econometrics
- Macro
- Research Projects
- SAS
- Data Analysis
- Economic Analysis
Economist Research Assistant
- Research Projects
- R
- Macro
- Statistical Analysis
- Econometrics
- Economic Data
Economist
Job description:
The primary role of economists is to study how society distributes resources, including raw materials, land, and labor, to create goods and services. They perform various tasks, including conducting research, monitoring economic trends, and devising forecasts on a wide range of issues such as inflation, interest rates, and employment. Additionally, they are responsible for preparing reports and presentations and advising individuals, businesses, and governments on economic issues. Economists are also responsible for designing policies or making recommendations for resolving economic problems.
- Economic Research
- Research Findings
- Economic Analysis
- Research Projects
- Econometrics
- Project Management
How much can you earn with Econometrics skills?
You can earn up to $100,665 a year with econometrics skills if you become a assistant professor of economics, the highest-paying job that requires econometrics skills. Economic development interns can earn the second-highest salary among jobs that use Python, $37,977 a year.
Job Title  | Average Salary | Hourly Rate |
|---|---|---|
| Assistant Professor Of Economics | $100,665 | $48 |
| Economic Development Internship | $37,977 | $18 |
| Senior Economist | $108,720 | $52 |
| Economist Research Assistant | $122,340 | $59 |
| Economist | $109,102 | $52 |
Companies using Econometrics in 2025
The top companies that look for employees with econometrics skills are U.S. Department of the Treasury, Pwc, and Navient. In the millions of job postings we reviewed, these companies mention econometrics skills most frequently.
| Rank | Company | % Of All Skills | Job Openings |
|---|---|---|---|
| 1 | U.S. Department of the Treasury | 43% | 0 |
| 2 | Pwc | 7% | 19,429 |
| 3 | Navient | 6% | 348 |
| 4 | Ernst & Young | 5% | 12,322 |
| 5 | Microsoft | 5% | 929 |
Departments using Econometrics
| Department | Average Salary |
|---|---|
| Finance | $77,649 |
7 courses for Econometrics skills
1. Hypotheses Testing in Econometrics
In this course, you will learn why it is rational to use the parameters recovered under the Classical Linear Regression Model for hypothesis testing in uncertain contexts. You will: – Develop your knowledge of the statistical properties of the OLS estimator as you see whether key assumptions work. – Learn that the OLS estimator has some desirable statistical properties, which are the basis of an approach for hypothesis testing to aid rational decision making. – Examine the concept of null hypothesis and alternative hypothesis, before exploring a statistic and a distribution under the null hypothesis, as well as a rule for deciding which hypothesis is more likely to hold true. – Discover what happens to the decision-making framework if some assumptions of the CLRM are violated, as you explore diagnostic testing. – Learn the steps involved to detect violations, the consequences upon the OLS estimator, and the techniques that must be adopted to address these problems. Before starting this course, it is expected that you have an understanding of some basic statistics, including mean, variance, skewness and kurtosis. It is also recommended that you have completed and understood the previous course in this Specialisation: The Classical Linear Regression model. By the end of this course, you will be able to: – Explain what hypothesis testing is – Explain why the OLS is a rational approach to hypothesis testing – Perform hypothesis testing for single and multiple hypothesis – Explain the idea of diagnostic testing – Perform hypothesis testing for single and multiple hypothesis with R – Identify and resolve problems raised by identification of parameters...
2. Econometrics for Economists and Finance Practitioners
This Specialisation provides rigorous training in econometric methods, via the exploration of theoretical concepts, real-data examples and the application of econometric techniques to industry relevant questions.\n\nThe methodologies in this Specialisation are an important part of an informed economics and financial decision-making process. You will learn:\n\n- How to test economics and finance theories, as well as hypotheses on the relationships between variables. - Study the behaviour of prices, returns, growth and unemployment. - Effectively analyse the impact of macroeconomic changes on economic growth and performance, and forecast the future values of economic variables. Through deep exploration of the modern techniques, applications and possibilities made available by the latest advances in econometrics, you will be ready to use these successfully and navigate the associated risks. This Specialisation is for anyone who finds that econometric methods are the main framework of reference in their daily activities as well as researchers and policy makers...
3. Econometrics: Simple Linear Regression (University Students)
This course is the key to build a strong foundation for the Econometrics module. This is what some of our students have to say about this Econometrics course: ''The videos are more detailed as compared to how I was taught Econometrics at school. He explains everything in a calm, not so rushed manner''''I am taking Econometrics this year at the University and this course makes a lot of sense. Everything is explained in a step by step and detailed manner''COURSE DESCRIPTION: Many students who are new to Econometrics describe it as a difficult subject. Do you think the same? Do you get lost among the mathematical equations and notations? If yes, then this is the first thing that you need to do - 'Change your approach to study this subject'Take it from me, Econometrics is quite an interesting subject. Whether you like it or not depends on how you tackle this subject. If you want to master Econometrics, then you need to understand the intuition of each and every concept and the logic behind each and every equation. And this is what I am going to help you with!! In this course, I will take you through: 1) All the equations that you will encounter in Simple Linear Regression (Population side as well as the sample side)2) The method of Ordinary Least SquaresThis course comes with: A 30 day money-back guarantee. Support in the Q & A section - ask me if you get stuck! I really hope you enjoy this course! Shubham...
4. Econometrics: Solved Questions and Mathematical Proofs
'Econometrics: Solved Questions and Mathematical Proofs' is a course for anyone studying Introductory Econometrics at University Level. What other students are saying about this course?''Clear and well organised course'' - Johnson Nyella''This is surely very helpful. Whenever I have some doubt regarding concepts, I go through this course and the questions help a lot'' - Ananya NathMost of the times, even if students understand the Econometrics concepts, they struggle with connecting the dots. Consequently, they end up getting confused and make silly mistakes in the exam. This course can help you in building a strong foundation of Econometrics so that you could avoid that confusing state of mind and ace your exam. This course contains solutions to exam style questions for the following topics: Hypothesis Testing and Confidence Intervals• p-value• Power of TestSimple Linear Regression• Calculation of OLS estimators• Interpretation of OLS estimators • Standard Error of Regression (SER)• R-squaredMultiple Linear Regression and Different Functional Forms • Adjusted R2 and R2• F-test and t-test• Interpretation of OLS estimators in different functional formsDummy Variables • Working with Dummy Variables and interpretaion• Dummy Variable TrapMulticollinearity• Perfect multicollinearity • Imperfect multicollinearity AND MANY MORE TOPICS!! This course comes with: A 30 day money-back guarantee. Support in the Q & A section - ask me if you get stuck! I really hope you enjoy this course! Shubham...
5. EViews-Econometrics-Regression analysis
In this course, you will learn: Types of DataWhat are the different sites for data citationsHow to import data in E-viewschecking the stationarity of the dataconverting time series data into panel dataEstimating and Interpreting OLSAssumptions of Classical Linear Regression Model (CLRM)Detection and Removal of AutocorrelationDetection and Removal of HeteroskedasticityNormality using Jorque Bera testJohansen cointegration testEstimation and interpretation of ARDL modelThe purpose for creating this course is that all of you can able to estimate and run the different models for estimation using Eviews. All the lectures are designed in a sequential manner and then connect the quizzes and assignment with the videos, you will have a great benefit in your professional career. There are many types of data in economics, but in this course, I have only mentioned and discussed those data types which are mostly used for estimation and prediction when it comes to economics. When it comes to downloading data, it is an easy yet very difficult task because most of the students don't know from where and how they should download data. Therefore it is also discussed how and from where you can download data. In this course, each and every step is discussed, not only discussed, but I have shown them practically. So it will be beneficial for the learners to apply them in future life.'In the assumption of classical linear regression model, I have discussed them through mathematically as well as using EVeiws. This course will able you to learn about the regression models, and you will learn that how to create dummy variables, and how to make panel data. You will learn also about ARCH and GARCH family in this course...
6. Explaining the Core Theories of Econometrics
Much clearer than my Uni's lectures! - Unsuya KarsanIn this course we'll help you understand the key Econometric theories and in particular give you an intuitive framework to build on. Econometrics can often feel overwhelmingly complicated. This course will give you a solid foundation to prepare for your specific University or College's Econometrics exam. It was really useful, very well explained and interesting. I recommend it - Marius MezaWith rates for Econometrics tutoring starting out at about $50+ per hour, our price of $74 for over 4 hours of content offers additional value by giving you unlimited access to the material and allowing you pause, rewind, fast forward and generally review the content to increase retention. Excellent explanation! I'm taking an Introduction to Econometrics course as an undergraduate and most of the time the instructor is long on mathematics and short on intuition. I needed this video to help me grasp why estimators are biased, and you succeeded in doing just that. Job well done! - seanch84Our aim is to help you fully understand the key Econometrics theories so once signed up, please do not hesitate to reach out to us if you feel there are any topics that you would like more clarity on. COURSE TOPICS COVERED *Learn Simple and Multiple Linear Regression. *Acquire knowledge of Gauss Markov assumptions and theory. *Master Finite Sample Properties of Ordinary Least Squares (OLS) Method (including proof of unbiasedness). *Become competent in Hypothesis Testing (including Normal, t, F and Chi-squared tests). *Grasp Variable Misspecification (excluding a relevant variable, including an irrelevant variable). *Understand Homoskedasticity and Heteroskedasticity. Truly outstanding. The reinforcement of the global view helped me understand the context and motivation of regression analysis. Plus, the reinforcement of the purpose of the regression intuition made the applied methods logical and easier for me to comprehend and thus learn. Nkaizu's Econometrics course taught me a lot! I wish there were a continuation of this course with advance applications. Thank you nkaizu!- Edward Dunn...
7. Econometrics and Statistics for Business in R & Python
Econometrics has horrible fame. The complex theorems, combined with boring classes where it feels like you are learning Greek, give every student nightmares. This course stays away from that. It will focus on (1) giving you the intuition and tools to apply the techniques learned, (2) making sure everything that you learn is actionable in your career, and (3) offer you a tool kit of peer-reviewed econometric causal inference techniques that will make you stand out and give you the ability to answer the tough questions. WHY ECONOMETRICS AND CAUSAL INFERENCE FOR BUSINESS IN R AND Python?In each section, you will learn a new technique. The learning process is split into three parts. The first is an overview of Use Cases. Drawing from business literature and my own experience, I will show examples where each Econometric technique has been applied. The goal here is to show that Econometric methods are actionable. The second part is the Intuition tutorials. The aim is for you to understand why the technique makes sense. All intuition tutorials are based on business situations. The last part is the Practice tutorials, where we will code and solve a business or economic problem. There will be at least one practice tutorial per section. Below are 4 points on why this course is not only relevant but also stands out from others.1 THOROUGH COURSE STRUCTURE OF MOST IMPACTFUL ECONOMETRIC TECHNIQUESThe techniques in this course are the ones I believe will be most impactful in your career. Like HR, Marketing, Finance, or Operations, all company departments can use these causal techniques. Here is the list: Difference-in-differencesGoogle's Causal ImpactGranger CausalityPropensity Score MatchingCHAID2 BUSINESS EXAMPLES TO FOSTER INTUITIONEach section starts with an overview of business cases and studies where each econometric technique has been used. I will use examples that come from my own professional experience and business literature. The aim is to give you the intuition where to apply them in your current job. By the end of each intuition tutorial, you will be able to easily explain the concepts to your colleagues, manager, and stakeholders. One of the benefits of giving actual business problems as examples is that you will find similar or even equal issues in your current company. In turn, this enables you to apply what you have learned immediately. Here are some examples: Impact of M & A on companies. Understanding how weather influences sales. Measuring the impact of brand campaigns. Whether Influencer or Social Media Marketing results in sales. Investigating the drivers of customer satisfaction.3 CHALLENGING AND INTERESTING PROBLEMS TO APPLY WHAT YOU LEARNEDFor each section, we will have at least one real business or economic dataset. We will apply what we learned during the intuition tutorials. Here are some examples of problems we will solve and code together: Measuring the impact of the Cambridge Analytica Scandal on Facebook's stock price. Assessing the results of giving training to employees. Challenge the idea that increasing the minimum wage decreases employment. Ranking the drivers on why people quit their jobs. Solving the thousand-year-old riddle of who came first: Chicken or the egg?.4 HANDS-ON CODINGWe will code together, in R and Python. In every single practice tutorial, we will start from scratch, building the code line by line. As also an online coding student, I feel this has been the easiest way to learn. On top, the code will be built so that you download it and apply the causal inference techniques in your work and projects. Additionally, I will explain what you have to change to use in your dataset and solve the problem you have at hand. Econometrics for Business in R and Python is a course that naturally extends into your career.***SUMMARYThe course is packed with use cases, intuition tutorials, hands-on coding, and, most importantly, is actionable in your career. Feel free to reach out if you have any questions, and I hope to see you inside! Diogo...