Explain in detail the approach of Weighted Least Square used by applied economists to address heteroskedasticity in empirical work.
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Explain in detail the approach of Weighted Least Square used by applied economists
to address heteroskedasticity in empirical work.
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- TRUE or False 1)Logistic regression cannot be employed when the dependent variable is binary. 2)In the average linkage clustering, the distance between two clusters is defined as the average of distances between all pairs of objects, where each pair is made up of one object from each group. 3)As Monte Carlo simulation is essentially statistical sampling, the larger the number of trials used, the more precise is the result. 4)Monte Carlo simulation is an inappropriate tool to analyze cash budgets because of the inherent uncertainty of the sales forecasts on which most cash budgets are based 5)Any solution that satisfies all constraints of a problem is called a feasible solution..Explain how we can handle heteroskedasticity by using Weighted Least Squares?Discuss two extensions to the original GARCH (p,q) model and explain additional characteristics of financial data they might be able to capture.
- Overhead Door (OD) Corporation’s founder, C. G. Johnson, invented the upward-lifting garage door in 1921 and the electric garage door opener in 1926. Since then OD has been a leading supplier of commercial, industrial, and residential garage doors sold through a nationwide network of more than 450 authorized distributors. They have built a solid reputation as a premier door supplier, commanding 15 % share of the market. Suppose that customers assess door quality first in terms of the ease of operation, followed by its durability. The quality improvement team (QIT) might then assign an engineering team to determine the factors that contribute to these two main problems. Smooth operation of a garage door is a critical quality characteristic that affects both problems: If a door is too heavy, it’s difficult and unsafe to balance and operate; if it’s too light, it tends to buckle and break down frequently or may not close properly. Suppose the design engineers determine that a standard…A consulting group recently conducted a global survey of product teams with the goal of better understanding the dynamics of product team performance and uncovering the practices that make these teams successful. One of the survey findings was that 33% of organizations have a coherent business strategy that they stick to and effectively communicate. Suppose another study is conducted to check the validity of this result, with the goal of proving that the percentage is less than 33%. Complete parts (a) and (b) below. ..... a. State the null and research hypotheses. Identify the null and alternative hypotheses. О А. Но: п20.33; Н,: п 0.33 С. Но п#0.33;B Н,: п%3D0.33 Ο D. Ho: π = 0.33; ,: π# 0.33 b. A sample of 100 organizations is selected, and results indicate that 32 organizations have a coherent business strategy that they stick to and effectively communicate. Use the p-value approach to determine at the 0.01 level of significance whether there is evidence that the percentage is less…Explain the Formula for the Two Stage Least Squares estimator?
- International public health practitioners have continuously attempted to point out differences in smoking rates across the globe.Some say that smoking rates do not match up with disease outcomes, i.e.,countries that have the highest rates of smoking do not have the highest rates of outcomes like lung and esophageal cancers. Suppose that a new research team wants to observe the difference in average smoking rates between Americans and French smokers. In order to test the assumption that French smokers smoke less on the average than Americans, the researcher takes a SRS of smokers from each country and compares their basic descriptive statistics for number of cigarettes smoked per day. Assume the following table summarizes the findings. Country Average cigarettes smoked per day Standard deviation Sample size France 8.9 1.4 52 USA 8.7 3.1 46 A) Carry out the appropriate test to answer the research question that supposes that American smokers smoke more cigarettes per day on the…Explain why you would or wouldn’t agree with each of the following statements: (a) In the presence of autocorrelation, least-square estimate will be biased (b) If the pairwise correlations among predictors are all close to 0, then, there exists no collinearity; (c) If we center the predictors, VIF would change; (d) AIC can be used to select the models which are not nested with each other; (e) With the same data, the model selected by R-square is the same as the model selected by RMS; (f) For multinomial logistic regression with response variables with k categories, we need to model k logit equations; (g) Odds ratio is between 0 and 1.What is the least-squares line approximation to a set of datapoints? How is the line determined?
- This is a question about Applied Stochastic Models. Question and definition used are attached.Match the description on the right with the correct term on the left regarding types of forecasting methods. 1. Econometric, input-output, and simulation are techniques used with this type of forecasting method, which assumes that the variable to be forecasted is related to one or more intrinsic variables. Causal Methods 2. The Delphi technique, market surveys, and life-cycles analogy are techniques used with this type of forecasting method, which relies on the judgment of individuals or Qualitative Methods Time-Series Methods groups. 3. Moving averages and exponential smoothing are techniques used with this type of forecasting method, which assumes that time is the only important variable.
