ECON321 Lecture Notes - Lecture 7: Econometrics, Independent And Identically Distributed Random Variables, Current Population Survey (Us)

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blueraven607

5 Dec 2014

School

University of Waterloo

Department

Economics

Course

ECON321

Professor

Kathleen Rybczynski

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Document Summary

Assumptions in linear regression: e[u]=0, e[u|x]=0, x and y are iid random variables, extreme values are unlikely, relationship between y&x is linear in parameters. Under these assumptions, ols provides useful estimates of population parameters. We can also estimate parameters 0 and 1 using two moments, e[u] and cov(x,u). E[y 0 1x] = n 1 which gives is the same condition as 6a, and. Yi 0 1xi = y 0 1 x = 0 i=1 n. Xi yi 0 1xi n yixi 0 x n 1 1 . = n 1 which gives is the same condition as 7a, i=1 i=1 i=1 n xi. So our method of moments estimator is the same as our least squares estimator. 0 = 0 = y x i=1 n i=1 n. Ols, our ols regression line (our fitted value) is: Yi = 0 1xi ex/ suppose we are given the following information on wages and years of schooling.

Related Questions

Econ 3050

7. When every member of the accessible population has an equal chance of being selected to participate in the study, the researcher is using:

a) Simple random sampling

b) Stratified random sampling

c) Convenience sampling

d) Purposive random sampling

8. A regression line has been found that has nearly all the points lying directly on the line, and only a few of them stray away from the line. Therefore, the standard error of the estimate is likely to be

Huge.

Small.

Undefined.

9. Correlation coefficient ranges from _______ to ____________.

a) - 1 to 0.

b) 0 to 1.

c) -1 to 1.

d) None of the above.

10. The correlation coefficient of determination is the:

a) Ratio of the explained variation to the total deviation.

b) Ratio of the unexplained deviation to the explained deviation.

c) Ratio of the unexplained deviation to the total variation.

d) Ratio of the explained variation to the total variation.

11. If the correlation coefficient r = 0.5 then the coefficient of determination is:

a) 0.10

b) 0.25

c) 1.00

d) 2.50

12. Which one of the following is NOT appropriate for studying the relationship between two quantitative variables?

Scatterplot

Bar chart

Correlation

Regression

13. In regression, an independent variable is sometimes called a response variable.

True

False

14. The simple linear regression equation can be written y = b₀ + b₁x. In the simple linear regression equation, the symbol y represents:

The average or predicted response

Estimated intercept

Estimated slope

Explanatory variable

mauvehyena239

Need assistance with these problems!

1. The following is a linear programming formulation of a labor planning problem. There are four overlapping shifts, and management must decide how many employees to schedule to start work on each shift. The objective is to minimize the total number of employees required while the constraints stipulate how many employees are required at each time of day. The variables X₁ - X₄ represent the number of employees starting work on each shift (shift 1 through shift 4).
Minimize X₁ + X₂ + X₃ + X₄
Subject to: X₁ + X₄%u2265 12 (shift 1)
X₁ + X₂%u2265 15 (shift 2)
X₂ + X₃%u2265 16 (shift 3)
X₃ + X₄%u2265 14 (shift 4)
all variables %u2265 0

Find the optimal solution using QM.
How many workers would be assigned to shift 1? (Points : 3) 12
13
0
none of the above

2. When appropriate, the optimal solution to a maximization linear programming problem can be found by graphing the feasible region and: (Points : 3)

finding the profit at every corner point of the feasible region to see which one gives the highest value.
moving the isoprofit lines towards the origin in a parallel fashion until the last point in the feasible region is encountered.
locating the point that is highest on the graph.
none of the above.
all of the above.

3. Multiple optimal solutions can occur when the objective function is __________ a constraint line. (Points : 3)

unequal to
equal to
linear to
parallel to

4. When applying linear programming to diet problems, the objective function is usually designed to: (Points : 3)

maximize profits from blends of nutrients.
maximize ingredient blends.
minimize production losses.
maximize the number of products to be produced.
minimize the costs of nutrient blends.

5. For a maximization problem, assume that a constraint is binding. If the original amount of a resource is 4 lbs., and the range of feasibility (sensitivity range) for this constraint is from 3 lbs. to 6 lbs., increasing the amount of this resource by 1 lb. will result in the: (Points : 3)

same product mix, different total profit.
different product mix, same total profit as before.
same product mix, same total profit.
different product mix, different total profit.

6. The corner point solution method: (Points : 3)

will yield different results from the isoprofit line solution method.
requires that the profit from all corners of the feasible region be compared.
will provide one, and only one, optimum.
requires that all corners created by all constraints be compared.
will not provide a solution at an intersection or corner where a non-negativity constraint is involved.

7. Consider the following linear programming problem.
Maximize 4X + 10Y
Subject to: 3X + 4Y %u2264 480 and 4X + 2Y %u2264 3 360
all variables %u2265 0
The feasible corner points are (48,84), (0,120), (0,0), (90,0).

What is the maximum possible value for the objective function? (Points : 3)

1032
1200
360
none of the above

8. When using Excel's Solver to input and solve a linear programming problem, it is essential that one perform an additional task before submitting the formulation. That important additional function is: (Points : 3)

guessing the values of the variables.
putting in a value for the objective function.
choosing the options for assuming both a linear model and non-negative variables.
resetting the parameters.
none of the above.

9. Consider the following linear programming problem.
Maximize 5X + 6Y
Subject to: 4X + 2Y %u2264 420 and 1X + 2Y %u2264 120
all variables %u2265 0

Which of the following points (X,Y) is not feasible? (Points : 3)

(50,40)
(20,50)
(60,30)
none of the above

10. ____________ is used to analyze changes in model parameters. (Points : 3)

Optimal solution
Feasible solution
Sensitivity analysis
None of the above

5. Saving and net flows of capital and goods In a closed economy, saving and investment must be equal, but this is not the case in an open economy. In the following problem, you will explore how saving and investment are connected to the international flow of capital and goods in an economy. Before delving into the relationship between these various components of an economy, you will be asked to recall some relationships between aggregate variables that will be useful in your analysis. Recall the components that make up GDP. National income (Y) equals total expenditure on the economy's output of goods and services. Thus, where C = consumption, I = investment, G = government purchases, X = exports, M = imports, and NX = net exports: Y = Also, national saving is the income of the nation that is left after paying for . Therefore, national saving (S) is defined as: S = Rearranging the previous equation and solving for Y yields Y = . Plugging this into the original equation showing the various components of GDP results in the following relationship: S = This is equivalent to S = , since net exports must equal net capital outflow (NCO, also known as net foreign investment). Now suppose that a country is experiencing balanced trade. Determine the relationships between the entries in the following table, and enter these relationships using the following symbols: > (greater than), < (less than), or = (equal to). Outcomes of Balanced Trade Imports Exports 0 Net Exports Y C+I+G Investment Saving Net Capital Outflow 0

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ECON321 Lecture Notes - Lecture 7: Econometrics, Independent And Identically Distributed Random Variables, Current Population Survey (Us)

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