Econometrics and Operations Research

For those who love to dig into the root of problems and proffer possible solutions, Econometrics and Operations Research could be the right options. In analyzing models, one can make decisions that are apt for the now and future.

However, through an understanding of the focal points of each of them, some differences may be extracted.

What Is Econometrics?

Econometrics is the application of statistical and mathematical methods for the quantitative interpretation of economic phenomena and systems. It involves the use of statistical theories and tools to test hypotheses, to explain and predict future trends.

The goal of econometrics is to convert qualitative statements into quantitative statements. This means that instead of using conceptual words for a descriptive judgment, numbers are used to represent phenomena.

Econometrics is a working tool for practitioners of econometrics (econometricians), to modify economic models into versions that people can use to make estimates.

According to Stock and Watson, “econometric methods are used in many branches of economics, including finance, labor economics, macroeconomics, microeconomics, and economic policy.” Econometrics is essential for making economic policies as it examines their impact on the economic system.

What Is Operations Research?

Operations research (OR) is an analytical method used in organizations for decision-making and problem-solving. It is a useful procedure for organizational management as it breaks down problems into basic components and uses mathematical analysis to seek solutions to them. By providing a step-by-step approach to solving these problems, an organization can make progress.

The theory of operations research was triggered by military planners during World War II. And thereafter, the techniques of this concept have remained relevant in addressing issues in business, the government, and society at large.

Operations research entails five major steps:

• Problem identification
• Creating a model (a representation of real-world system and variables) around the problem
• Developing solutions to the problem using the model
• Testing and examining the success of each solution on the model
• Applying the solution to the actual problem.

The three fundamental traits of all operations research efforts are optimization, simulation and probability, and statistics.

Econometrics and Operations Research

Econometrics and operation research are similar techniques, they both have the goal of using existing data and theories to enhance quantitative decisions. And, of course, these decisions have their relevance in the future.

The use of mathematical data to discover and provide insights valuable for making reliable predictions and possible solutions is their fundamental drive. Also, both use models, improve on them to proffer and test solutions before applying them. In other words, they compare and narrow down options to find the best fit.

However, OR is a vast discipline. Econometrics can be seen as an application of OR with a specialization in economics.

Also, econometrics is more forward-looking in idea, it uses quantitative data and techniques from statistics, mathematics, and algorithms to back up economic decisions. Operations Research uses advanced mathematical tools to solve problems and optimize processes, such as scheduling, transport logistics, etc.

Conclusion

Econometrics is specific to the economic discipline, seeking to strengthen economic decisions. Operations research, on the other hand, can be applied in economics as well as other fields to solve complex issues. Although they slightly differ in core focus, they are complementary.

Originally Published Here: Econometrics and Operations Research