Current location - Training Enrollment Network - Mathematics courses - How to prove the effectiveness of econometrics
How to prove the effectiveness of econometrics
Econometrics is an economic discipline based on certain economic theories and statistical data, using mathematics, statistical methods and computer technology, and establishing econometric models as the main means to quantitatively analyze and study the relationship between economic variables with random characteristics. The main contents include theoretical econometrics and applied econometrics. Theoretical econometrics mainly studies how to use, transform and develop mathematical statistics methods to make them a special method to measure economic relations. Applied econometrics is to study the practicability of economic mathematical models or explore empirical economic laws with econometric methods under the guidance of certain economic theories and based on statistical data reflecting facts.

title of a book

econometrics

Is also called

econometrics

member of

Economics discipline

research direction

The relationship between economic variables with random characteristics

way

Mathematical economics and mathematical statistics

quick

navigate by water/air

trait

develop

research objects

learning method

Theoretical econometrics and its application? econometrics

trend

brief introduction

Econometrics is a branch of economics based on mathematical economics and statistics, which attempts to solve economic problems by integrating theoretical quantitative methods and empirical quantitative methods.

With the emergence of this branch, economics can only study economic phenomena qualitatively in the past and expand to a new stage where quantitative analysis can be carried out at the same time.

"Metrology" means "quantitative research by statistical methods", so the word "quantity" should be pronounced as "[liàng]" instead of "[liáng]".

It is said that in economics, the history of applying mathematical methods can be traced back to the publication of william petty's Political Arithmetic (1676) more than 300 years ago.

Fundamentals of econometrics

The term "econometrics" was put forward by Norwegian economist Frish in 1926, imitating the term "biostatistics". Subsequently, 1930 International Econometrics Society was established, and 1933 Journal of Econometrics was founded.

How should people understand the meaning of "econometrics"? Frish said in his inaugural address of econometrics: "There are several ways to discuss economics by mathematical methods, but none of them can be confused with econometrics. Econometrics and economic statistics are by no means the same thing; It is also different from what we call general economic theory, although most economic theories have certain quantitative characteristics; Econometrics should not be regarded as synonymous with the application of mathematics to economics. Experience shows that statistics, economic theory and mathematics are all necessary but not sufficient conditions to truly understand the quantitative relationship in modern economic life. The combination of the three has power, and this combination constitutes econometrics. "

Later, Klein, a famous American econometric economist, also believed that econometrics was a synthesis of mathematics, statistical technology and economic analysis. It can also be said that econometrics not only refers to the measurement of economic phenomena, but also shows that it refers to the measurement according to certain economic theories.

The foundation of econometrics is a set of econometric methods based on mathematical statistics theory, which belongs to the "hardware" of econometrics. There are two main uses or purposes of econometrics:

Theoretical test. This is the most important and reliable aspect of econometrics. This is also a main content of econometrics itself.

Predictive application. Judging from the ultimate goal of theoretical research and methods, forecasting (including policy evaluation) is of course the ultimate task of econometrics, and we must pay attention to learning and understanding, but we should pay more attention to the reliability or effectiveness of its forecasting.

trait

Model type: random model is adopted. Model orientation: establish a model based on economic theory. Model structure: the relationship between variables is linear or can become linear, which belongs to causal analysis model, explaining that variables have the same status and the model has clear forms and parameters. Data type: take time series data or cross-sectional data as samples, and the explained variables are continuous random variables that obey normal distribution. Estimation method: only use sample information, and use least square method or maximum likelihood method to estimate variables. Non-classical econometrics generally refers to the econometric theories, methods and application models developed after 1970s, also known as modern econometrics.