Task 1.
Question 1. What is the literal translation of the term "econometrics"?
1. measuring the economy;
2. The economy of measurements;
3. Measurement of the economy;
4. The measurement of results;
5. farming.
Question 2: Which of the following models are econometric?
1. The model of Leontief input-output,
2. The results of the research Frisch and Tinbergen and their successors,
3. The production function of the Cobb-Douglas;
4. The system of national accounting;
5. The input-output model Leontyev, research Frisch and Tinbergen and their successors, the production function is Cobb-Douglas.
Question 3. What is the economic dimension?
1. accurate;
2. imprecise;
3. erroneous;
4. random;
5. associated with random errors.
Question 4. In which case, it is concluded that there observed regularities?
1. If the coincidence is more likely;
2. If a coincidence is unlikely;
3. if the random mismatch is unlikely;
4. If the random mismatch is more likely;
5. there is no right answer.
Question 5. What are the names econometric models, which are dependent resultant variable from time to time?
1. regression models;
2. The system of simultaneous equations;
3. The time series models;
4. The model of the Cobb-Douglas;
5. there is no right answer.
Task 2.
Question 1. What is the name of temporal data model in econometrics, explaining the behavior of resultant variable depending on the previous values \u200b\u200bof factorial variables?
1. The model of expectations;
2. autoregression model;
3. The model distributed lag;
4. The model of stationary series;
5. The model of non-stationary series.
Question 2. What is the name of temporal data models in econometrics, explaining the behavior of resultant variable and depending on the values \u200b\u200bof previous successful variables?
1. The model of expectations;
2. autoregression model;
3. The model distributed lag;
4. The model of stationary series;
5. The model of non-stationary series.
Question 3. What is the name of temporal data model in econometrics, explaining the behavior of resultant variable depending on the future values \u200b\u200bof the factor variable or productive?
1. The model of expectations;
2. autoregression model;
3. The model distributed lag;
4. The model of stationary series;
5. The model of non-stationary series.
Question 4. How successful traits in econometrics can be predicted on the basis of a system of interconnected regression equations?
1. many successful attributes as behavioral equations and identities in the system;
2. many successful attributes as behavioral equations included in the system;
3. a second productive characteristics;
4. The first score and final sign;
5. the number of successful traits that defined the researcher.
Question 5. What is the difference between stationary and non-stationary time series?
1. there is no difference;
2. The stationary time series is not constant average values \u200b\u200baround which a number of levels ranging from the constant variance, and non-stationary - there is;
3. stationary time series is a constant average value around which a number of levels ranging from the constant variance, and non-stationary - no;
4. The stationary time series of the fixed period of time between the levels in non-stationary - no;
5. The non-stationary time series in a fixed period of time between the levels in stationary - no.
Task 3.
Question 1