Statistical Economics Employment Direction

First of all, what kind of subject is economic statistics?

Statistics, as an applied discipline, puts aside purely theoretical research (generally offered in the mathematics department of comprehensive universities). When statistics and medicine meet, medical statistics (mostly Clinical verification), when statistics and sociology meet, sociological statistics (mostly social surveys) are produced, and when statistics and economics meet, economic statistics is produced. In addition to some basic statistics and basic economic theories In addition, more emphasis is placed on quantitative analysis and regression prediction. It can be said to be a more practical subject.

Secondly, the employment direction of economic statistics.

I think the questioner is more concerned about employment. Judging from my experience, employment in economic statistics can be divided into two directions:

1. Economic and financial direction: Usually financial institutions do not limit recruitment to specific majors. Generally, as long as they are economic and financial All majors are within the scope of recruitment, especially large institutions such as banks, securities firms, and insurance companies. These institutions value more your personal qualities and abilities. Generally, you only need to have corresponding economic and financial knowledge (accounting knowledge may be more important) ), the knowledge and skills in statistics will basically not be used after leaving school. At most, Excel’s data pivot filtering is enough to cope with it. I am in such an organization, and statistical knowledge is basically useless;

2. Analysis and statistics direction: At present, the direction of data statistics is mostly Internet companies, quantitative investment companies, professional consulting companies and other institutions, and the corresponding positions Strong professionalism, high technical requirements, and certain requirements for mathematics and programming. Especially the popular "big data" analysis, on the one hand, you need to use Sql to retrieve massive data and clean the data, and then you need to use statistical software (often R) for modeling analysis. There are many commonly used methods, such as neural networks, decision-making Trees and the like have good development prospects, but they are quite difficult. My girlfriend is engaged in data analysis in an Internet company, but she feels tired and doesn’t like it;

3. Others: usually civil servants or other industry positions not related to economics or statistics. There are strict professional restrictions when applying for civil servants. Generally speaking, statistics majors can cover some positions in the Statistics Bureau, Taxation Bureau, etc. Some simple statistical principles are enough to cope with it. In other industries, those who recruit statistics majors usually do report making and some operations or performance analysis. Non-statistics majors can also be competent.

From the undergraduate and graduate students I have contacted, more than 75% of the students work in financial institutions (mostly banks) and basically have no need for statistical knowledge and skills. About 10% of the students work in financial institutions (mostly banks). Analyzing the statistical direction, most of them are Internet companies, around 10 years old, they have been admitted to the civil service, and some are studying for Ph.D.'s.

Finally, I would like to give you some suggestions:

1. Generally speaking, most economic statistics majors in economic colleges follow the career development path of big finance. Learn accounting well. , it is more important to master certain economic and financial knowledge and learn how to behave;

2. If you prefer analytical modeling and want to take the technical route, it is recommended to strengthen programming learning, including algorithms, data structures, etc., and If you want to take the postgraduate entrance examination and study for a Ph.D., it is best to go abroad, so that you can have better development;

3. If you are taking the civil service examination, it is recommended to apply for statistical positions in institutions such as the China Banking Regulatory Commission and the People's Bank of China. The Statistics Bureau is not cost-effective.

Also correct some misunderstandings:

1. Actuaries, many people think that actuarial science is related to statistics. In fact, actuarial science is just the application of some principles of probability theory, more towards mathematics, generally The actuarial major under the School of Insurance has more advantages;

2. The Big Four, mainly refer to Deloitte, KPMG, Ernst & Young and PricewaterhouseCoopers. These institutions are mainly engaged in auditing and part-time consulting. The corresponding position for those who study statistics should be in the direction of risk management in consulting, which will use some statistical models, other auditing, internal control, etc., which have nothing to do with statistics;

3. Investment banking, sounds very awesome , it’s actually very hard, but the treatment is relatively objective. If you study statistics and enter investment banking, what matters is not your professional knowledge, but your EQ, appearance and background.