ASAP PLZ Consider the following scenario. A sports economist has collected data to test therelationship between shot quality and points per game for a sample of NBA players.The data is a panel dataset comprised of 2,000 NBA players with season-levelperformance statistics over the past 50 NBA seasons. The sports economist isworried that the player's primary playing position might be correlated with both shotquality and points per game, and position is easy to measure. However, historicalchanges in analytics have influenced the types of shots players across the leaguehave taken over time, and these changes are generally difficult to quantify. Toaddress the potential omitted variable bias that could arise because of this, theeconomist should include in their regression:Time fixed effectsO Neither time nor entity fixed effectsBoth time and entity fixed effectsO Entity fixed effects

Data (quantitative measures) describing an actual economy, past or present, is called economic data…

Answered: Consider the following scenario. A…

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

See similar textbooks

Similar questions

Some MPs believe that there is a causal relationship between earnings and years of schooling. They show you an estimate of the impact of years of schooling on annual earnings: There are two groups of individuals – group 1 and group 2. Group 1 on average earns £60,000 per year with the average level of post-compulsory education of 6 years, while group 2 earns on average £40,000 with the average post-compulsory education of 4 years. The MPs conclude that the annual return to an additional year of education is 25% using the following equation [(£60,000-£40,000)/40,000]/(6-4)=25%. Ignoring time preferences and discounting, and if both groups face the same cost of schooling, you need to explain to the MPs why this is not a good estimate of the annual return to an additional year of education. Propose methods to the MPs to deal with the problem. (300 words)
As a manager of a small software retailing company, you are concerned with projected profit next year. While profit can be determined as the difference between sales and maintenance cost, or in symbols, P = S - M, where P is profit, S is sales, and M is maintenance cost including technical support. It is argues that when sales goes up so does maintenance cost because the cost of technical support will go up. Further, it is measured that the correlation between S and M is 0.8. Now given the figure that sales next year is expected to be $300 thousand with standard deviation of $4 thousand and maintenance cost is expected to be $150 thousand with standard deviation of $6 thousand, what would be the expected profit and its standard deviation you will include in your report?
Explain what multicollinearity . What are the main problems that multicollinearity creates for OLS estimation results ? Give two ways to detect multicollinearity problem and the hypothesis that are tested ?
Cristina is excited with these averages and tells her public relations team to prepare a glossy brochure to showcase this $250 increase in household income. which of the following must be true to confidently conclude that this $250 difference in average income was caused by access to a UThere The herders who bought UThere phones would have had higher income than the herders who did not even if they had not purchased the UThere phone. The herders who bought UThere phones would have had the same income as the herders who did not even if they had not purchased the UThere phone. We don’t need to worry about Selection Bias since Nepal and Tibet are small countries with more or less similar people. The equation for Selection Bias does not provide enough information since we do not know the counterfactuals.
ASAP Use the data in WAGE2.RAW for this exercise.(i) Consider the standard wage equationlog(wage) 5 b0 1 b1educ 1 b2exper 1 b3tenure 1 u.State the null hypothesis that another year of general workforce experience has the same effect on log(wage) as another year of tenure with the current employer.(ii) Test the null hypothesis in part (i) against a two-sided alternative, at the 5% significance level, by constructing a 95% confidence interval. What do you conclude?
look at the influence of mileage on the sale price of each brand ofautomobile. Postulate the following statistical models,?_ℎ????? = ?0 + ?1?????? + ?? and ?_?ℎ??? = ?0 + ?1?????? + ?? with ??~?(0, ?2).For each model (‘model_honda’ and ‘model_chev’) perform the following,Comment on the miles variable after examining it with hist() and summary() commands.What does the assumption of non-random independent variable imply about how thedata must be collected if the same miles variable is used for both brand of automobile?
Suppose we use the linear probability model to estimate the effect of household income on the willingness to avail a loan product. Given a regression equation: Willingness = 22.34 -0.04HouseholdIncome, with HouseholdIncome measured in hundreds of pesos. How is -0.04 interpreted?
Define and briefly explain the nature and structure of the following terms. Pooling of cross sections and longitudinal data
Consider the following hypothetical pooled cross-sectional data of daily COVID-19 cases per 1,000 people during the early two months of the pandemic, from March to April 2020 in Ohio and 5 other neighboring states. The variable April takes value 1 if the recorded cases are from April 2020, and takes value 0 if the recorded cases are from March 2020. The variable lockdown takes value 1 if the state put in place a Stay-at-home order beginning from March 2020, and takes value 0 otherwise. Using the difference-in-differences estimator, assess the impact of the lockdown policy on daily COVID-19 cases. Table 1. Daily COVID-19 Cases by State April Cases Lockdown State Indiana 0 2 0 Indiana 1 8 0 0 1 0 1 2 0 Kentucky Kentucky Michigan Michigan Ohio 0 3 0 1 8 0 0 2 1 Ohio 1 4 1 0 4 1 1 7 1 Pennsylvania Pennsylvania West Virginia West Virginia 0 1 1 1 2 1
Suppose that the government wants to estimate the effect of PKH on children's height usine WHO's height-for-age metric. Using administrative and surveydata, a researcher evaluates the impact of PKH using the following specification: (image insert) 1. What is the expected sign of beta? What assumption needed to obtain an unbiased estimate of beta 1? 2. is the assumption sensible? what are the consequence of violating the assumption! Discuss whether the estimated coefficient beta 1, positively or negatively bias? 5. do you think adding variables would fulfill the assumption?
Consider the following TSLS model, where Ability is an endogenous independent variable, while Educand Age are exogenous.Stage 1 : Ability = 0 + 1 Educ + 2 Age + 3 Expr + 4 ParEduc + 5 KWW + VStage 2 : log(Wage) = 0 + 1 Educ + 2 Age + 2 Ability + UIf we use the Sargan test, the rst-stage F test and the Hausman test together to decide whether aTSLS or an OLS would be more appropriate, ll in the following blanks: at the 5% signicance level, the critical value for the Sargan test is blank, and the critical value forthe Hausman test is blank; if we blank (reject or fail to reject) the Sargan test, blank (reject or fail to reject) the rst-stageF test, and blank (reject or fail to reject) the Hausman test, then it is implied that we shall use theTSLS instead of the OLS estimation.
One of the oldest principles of marketing is that sellers may sell features, but buyers essentially buy benefits. This is a distinction sometimes lost on technology ledorganizations, and the service sector is no exception. Recent experience of the UK’s largest telecommunications company, Della’s, illustrates how crucial it is to see service offers in terms of the benefits they bring to customers. The company was aware of extensive research which had found high levels of confusion among purchasers of mobile phones, with a seemingly infinite permutation of features and prices. With four main networks to choose from, dozens of tariffs and hundreds of handsets, it is easy to see why buyers sought a way of simplifying their buying process. Throughout the 1990s, Della’s had positioned its UK network as superior technically to its competitors. Advertising focused on high coverage rates and call reliability.Della’s was the UK's most popular mobile phone operator, with almost eight million…

SEE MORE QUESTIONS

Recommended textbooks for you

ENGR.ECONOMIC ANALYSIS

Economics

ISBN:

9780190931919

Author:

NEWNAN

Publisher:

Oxford University Press

Principles of Economics (12th Edition)

Economics

ISBN:

9780134078779

Author:

Karl E. Case, Ray C. Fair, Sharon E. Oster

Publisher:

PEARSON

Engineering Economy (17th Edition)

Economics

ISBN:

9780134870069

Author:

William G. Sullivan, Elin M. Wicks, C. Patrick Koelling

Publisher:

PEARSON

ENGR.ECONOMIC ANALYSIS

Economics

ISBN:

9780190931919

Author:

NEWNAN

Publisher:

Oxford University Press

Principles of Economics (12th Edition)

Economics

ISBN:

9780134078779

Author:

Karl E. Case, Ray C. Fair, Sharon E. Oster

Publisher:

PEARSON

Engineering Economy (17th Edition)

Economics

ISBN:

9780134870069

Author:

William G. Sullivan, Elin M. Wicks, C. Patrick Koelling

Publisher:

PEARSON

Principles of Economics (MindTap Course List)

Economics

ISBN:

9781305585126

Author:

N. Gregory Mankiw

Publisher:

Cengage Learning

Managerial Economics: A Problem Solving Approach

Economics

ISBN:

9781337106665

Author:

Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor

Publisher:

Cengage Learning

Managerial Economics & Business Strategy (Mcgraw-…

Economics

ISBN:

9781259290619

Author:

Michael Baye, Jeff Prince

Publisher:

McGraw-Hill Education

SEE MORE TEXTBOOKS