1 Ramsey model and Solow Modelsdw (usbilaConsider the Ramsey model as in the curriculum with the two equations:ċ(t)Basic Conste(t)f'(k(t)) – p - Og0-[AZUk(t) = f(k(t)) — c(t) − (n + g)k(t)-(1)(2)1. Explain the two equations given above.2. Make a diagram that shows the steady state level for capital per effec-tive worker and consumption per worker. Explain how you would findoutput per effective worker.3. What is main difference between the Ramsey model and the SolowGrowth model?anoqgad andre stekp

The Ramsey model is a type of economic model used to study the dynamics of economic growth and…

Answered: 1 Ramsey model and Solow Modelsdw…

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

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3. A researcher is commissioned by a policy maker to conduct an empirical investigation. The researcher needs to collect data and hence asks the policy maker for a grant. After the grant application is approved the researcher demands for more financial support to collect more data and increase its sample size. The researcher claims that the advantage of a bigger sample size is removing the bias from estimation. < a) Explain omitted variable in linear regressions. < b) Based on what you learnt in this module, do you agree or disagree with the researcher's claim that "bigger sample size removes the omitted variable bias". Discuss. <
How can machine learning be used to analyze data-filled Excel spreadsheets? Let's say you're sitting on a spreadsheet with hundreds of open-ended responses from a recent customer survey. Getting insights from a batch like that will mean hours of manual work. Sorting each answer by topic and overall sentiment will prove to be a cumbersome task. And, in the meantime, urgent matters may come up that require your team's attention. A machine learning model can take care of this analysis in an easy, fast, and consistent way. Having a model analyzing your Excel spreadsheets automatically can save your team hours of valuable time and productivity. Additionally, machine learning models can take care of large spreadsheets in a matter of seconds, scaling your team's productivity upwards. This Al Economics Project will show you how to analyze data-filled Excel spreadsheet for Business Intelligence. Depending on the quality of the answer, you are awarded up to 20-32 points for each assignment. Any…
13) Can i please get help with this
10. Suppose in our model, lifespans increased due to a productivity in- crease. What would likely happen to hours worked and leisure over the lifetime of a represent ative consumer. (a) Let's consider one of two common ways of implementing this change. Suppose the increase raised both lifespans and the amount of years consumers are healthy enough to work by the same amount, how would that likely affect the measured numbered of hours work by prime aged adults within a given year? What would likely hap- pen to the retirement age? (b) Let's consider the other way to implement it. Suppose the change in lifetimes came about changes in technology that delayed death but did not extend the amount of years consumers are healthy enough to work. What would likely happen to hours worked within a year? What would happen to the retirement age? (c) In the US, the generalized stylized fact is that the actual age of retirement is not increasing. Nor are hours worked per week. Why are both of the above…
Please ASAP. Thankyou. QUESTION 24 A quality adjusted life year is defined as? A. Health adjusted life expectancy for men B. A measure of disease burden including both quality and the quantity of life lived C. Potential years of life lost for vulnerable populations D. Health related quality of life for women QUESTION The purpose of a model is to illustrate relations between economic variables.TrueFalse
4- The manager of Collins Import Autos believes the number of cars sold in a day(Q) depends on two factors: (1) the number of hours the dealership is open (H) and (2) the number of salespersons working that day (S ). After collecting data for two months (53 days), the manager estimates the following log-linear model: Q = aHbSc ----- a. Explain how to transform this log-linear model into a linear form that can be estimated using multiple regression analysis. b. How do you interpret coefficients b and c? If the dealership increases the number of salespersons by 20 percent, what will be the percentage increase in daily sales? c. Test the overall model for statistical significance at the 5 percent significance level.
model of a firm that produces final goods using R&D and components as inputs, with cost data as follows:Assembly: Total cost of production = PAQA = 400Earnings of High-Skilled Labor = WHHA = 100Earnings of Low-Skilled Labor = WLLA = 200Earnings of Capital = RKA = 100R&D: Total cost of production = PRQR = 400Earnings of High-Skilled Labor = WHHR = 175Earnings of Low-Skilled Labor = WLLR = 125Earnings of Capital = RKR = 100A) In which factor(s) is assembly intensive? In which factor(s) is R&D intensive?B) Suppose that due to the opening of trade, the price of assembly falls by ∆PA/PA = −20%, the price of R&D remains unchanged, ∆PR/PR = 0%, and capital’s share earnings remains constant.C) What has happened to the relative wage of high-skilled/low-skilled labor? Does this match the predictions of the offshoring model?

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