Econometrics. Tests RIU, MNEPU, MEI (36 jobs)

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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

Additional information

Task 4.
Question 1. What are some possible ways to address structural changes in economic systems, described by econometric models?
1. The inclusion of dummy variables in the model;
2. The inclusion in the model of trends;
3. The inclusion in the model of trends and dummy variables;
4. The construction of a system of simultaneous equations;
5. The inclusion in the model of trends and dummy variables to build a system of simultaneous equations.
Question 2. What is the assertion that the application of statistical methods postulated properties tend to be asymptotic nature?
1. This means that the properties are tends to zero the number of measurements;
2. This means that the properties are the number of measurements tends to infinity;
3. This means that the properties are the number of measurements tends to zero to infinity;
4. This means that the properties are not manifested quantity measurement tends to zero
5. This means that the properties are not manifested quantity measurement tends to infinity.
Question 3. What is the trend in the time series can lead to false regression of two random variables?
1. In the case of trends in the two random variables false regression does not occur;
2. deterministic trend;
3. stochastic trend;
4. and deterministic and stochastic;
5. there is no right answer.
Question 4. Which statement is true?
1. Based on the effects of spurious correlation and regression can be false to assume that the connection does exist, and estimates obtained by themselves indicate a direction and communication;
2. Even if we ignore the effects of spurious correlation and regression and the false accept that the relationship does exist, it is still to be understood that estimates obtained by themselves do not say anything about the type and direction of communication.
3. Even if we ignore the effects of spurious correlation and regression and the false accept that the relationship does exist, and estimates obtained by themselves indicate a direction and communication.
4. Based on the effects of spurious correlation and regression and the false accept that the relationship does exist, it is still to be understood that estimates obtained by themselves do not say anything about the type and direction of communication.
5. There is no right answer.
Question 5. What are the areas of expertise included in econometrics?
1. Economic theory and economic statistics;
2. The economic theory and mathematical statistics;
3. economic statistics and mathematical statistics;
4. The economic theory, economic statistics, mathematical statistics;
5. there is no right answer.
Task 5.
Question 1. What is the specificity of the economic data?
1. economic data are not controlled by the result of the experiment,
2. The economic data often contain measurement errors,
3. The proportion of the economy non-numeric data is significantly higher than in engineering and technology,
4. Many economic indicators are non-negative;
5. economic data is not the result of a controlled experiment, economic data often contain errors of measurement in the economy, the share of non-numeric data is significantly higher than in technology, many of the economic indicators are non-negative.
Question 2. What kind of scientific activity can be identified in econometrics as a discipline at the crossroads of the economy (including management), and statistical analysis?
1. a) The development and b) a study of econometric method (Applied Statistics), taking into account the specifics of economic data;
2. a) The development and b) a study of econometric models, in accordance with the specific needs of economic science and practice;
3. The use of a) econometric methods and b) models for the statistical

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