Basics in mathematics (derivatives, functions, transformations) and statistics (probabilities, distributions, anova, hypothesis testing). 

Econometrics in a broad sense is a discipline in which mathematics and statistics are used to apply general economic or business economic knowledge in practice in order to solve concrete policy or management issues. As econometrician, you approach these policy and management issues in a modeling way. The econometrician turns a (business) economic problem into mathematical formulations. The intention of the abstraction is to (temporarily) disregard minor aspects and thereby enable much more powerful and more focused analyzes.

Econometrics in the narrow sense is concerned with the application of statistical techniques to measure the size of effects. This is necessary for explaining and mapping connections and formulating policy recommendations. Predications can be made based on the econometric analyzes. Moreover, it can be tested whether the assumptions underlying the models do not cause too much violence.

The following topics will be handled:

*Introduction to the linear regression model and some extensions, with special attention to the process of specification, estimation, diagnostic testing, and model modifications.

*Gaining experience with analyzing economic and business data yourself using the computer and the R software package.

*Skills in (critically) analyzing the structure of econometric models and interpreting the outcomes of empirical applications.

• The student has a thorough background knowledge of basic concepts of statistics. For instance see course Beleidsstatistiek (1738, 2 Bach HI/BI).

• The student has a thorough background knowledge of basic concepts of mathematics (see additional document Basic Mathematical Tools).

Basics in mathematics (derivatives, functions, transformations) and statistics (probabilities, distributions, anova, hypothesis testing). 

Econometrics in a broad sense is a discipline in which mathematics and statistics are used to apply general economic or business economic knowledge in practice in order to solve concrete policy or management issues. As econometrician, you approach these policy and management issues in a modeling way. The econometrician turns a (business) economic problem into mathematical formulations. The intention of the abstraction is to (temporarily) disregard minor aspects and thereby enable much more powerful and more focused analyzes.

Econometrics in the narrow sense is concerned with the application of statistical techniques to measure the size of effects. This is necessary for explaining and mapping connections and formulating policy recommendations. Predications can be made based on the econometric analyzes. Moreover, it can be tested whether the assumptions underlying the models do not cause too much violence.

The following topics will be handled:

*Introduction to the linear regression model and some extensions, with special attention to the process of specification, estimation, diagnostic testing, and model modifications.

*Gaining experience with analyzing economic and business data yourself using the computer and the R software package.

*Skills in (critically) analyzing the structure of econometric models and interpreting the outcomes of empirical applications.

Basics in mathematics (derivatives, functions, transformations) and statistics (probabilities, distributions, anova, hypothesis testing). 

Econometrics in a broad sense is a discipline in which mathematics and statistics are used to apply general economic or business economic knowledge in practice in order to solve concrete policy or management issues. As econometrician, you approach these policy and management issues in a modeling way. The econometrician turns a (business) economic problem into mathematical formulations. The intention of the abstraction is to (temporarily) disregard minor aspects and thereby enable much more powerful and more focused analyzes.

Econometrics in the narrow sense is concerned with the application of statistical techniques to measure the size of effects. This is necessary for explaining and mapping connections and formulating policy recommendations. Predications can be made based on the econometric analyzes. Moreover, it can be tested whether the assumptions underlying the models do not cause too much violence.

The following topics will be handled:

*Introduction to the linear regression model and some extensions, with special attention to the process of specification, estimation, diagnostic testing, and model modifications.

*Gaining experience with analyzing economic and business data yourself using the computer and the R software package.

*Skills in (critically) analyzing the structure of econometric models and interpreting the outcomes of empirical applications.

Basics in mathematics (derivatives, functions, transformations) and statistics (probabilities, distributions, anova, hypothesis testing). 

Econometrics in a broad sense is a discipline in which mathematics and statistics are used to apply general economic or business economic knowledge in practice in order to solve concrete policy or management issues. As econometrician, you approach these policy and management issues in a modeling way. The econometrician turns a (business) economic problem into mathematical formulations. The intention of the abstraction is to (temporarily) disregard minor aspects and thereby enable much more powerful and more focused analyzes.

Econometrics in the narrow sense is concerned with the application of statistical techniques to measure the size of effects. This is necessary for explaining and mapping connections and formulating policy recommendations. Predications can be made based on the econometric analyzes. Moreover, it can be tested whether the assumptions underlying the models do not cause too much violence.

The following topics will be handled:

*Introduction to the linear regression model and some extensions, with special attention to the process of specification, estimation, diagnostic testing, and model modifications.

*Gaining experience with analyzing economic and business data yourself using the computer and the R software package.

*Skills in (critically) analyzing the structure of econometric models and interpreting the outcomes of empirical applications.

Basics in mathematics (derivatives, functions, transformations) and statistics (probabilities, distributions, anova, hypothesis testing). 

Econometrics in a broad sense is a discipline in which mathematics and statistics are used to apply general economic or business economic knowledge in practice in order to solve concrete policy or management issues. As econometrician, you approach these policy and management issues in a modeling way. The econometrician turns a (business) economic problem into mathematical formulations. The intention of the abstraction is to (temporarily) disregard minor aspects and thereby enable much more powerful and more focused analyzes.

Econometrics in the narrow sense is concerned with the application of statistical techniques to measure the size of effects. This is necessary for explaining and mapping connections and formulating policy recommendations. Predications can be made based on the econometric analyzes. Moreover, it can be tested whether the assumptions underlying the models do not cause too much violence.

The following topics will be handled:

*Introduction to the linear regression model and some extensions, with special attention to the process of specification, estimation, diagnostic testing, and model modifications.

*Gaining experience with analyzing economic and business data yourself using the computer and the R software package.

*Skills in (critically) analyzing the structure of econometric models and interpreting the outcomes of empirical applications.