David is curious about the effects of housing wealth on household consumption. Now hehas the China Family Panel Study dataset. In this dataset, respondents are asked to reporttheir housing wealth and monthly consumption.(2) In May 2006, China issued a policy to lower the percentage of down payment forpurchasing units with floor areas less than or equal to 90 m² from 30% to 20%. It causeda higher demand and thus a higher price for houses smaller than 90 m². How can Daviduse this policy to identify the effect of housing wealth on consumption? Please stateclearly about the identification strategy can be used and its logic.(3) In terms of the identification strategy you provide in the above question (2), what is theassumption to make sure that it is valid? How would you test the assumption(s)?(4) What is the limitation of this empirical strategy?

In this problem, David is interested in studying the impact of housing wealth on household…

Answered: David is curious about the effects of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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23. An enquiry into the budgets of middle class families in Mumbai gave the Cilbwing information : Expenses on Food 35% Rent 15% Clothing 20% Fuel 10% Misc. 20% Price (2016) (Rs.) 2500 2000 1400 400 600 2850 2200 1498 500 960 Price (2017) (Rs.) What changes in the cost of living figure of 2017 have taken place compared to 2016? R bons b
13. answer the question in the picture!
1. Suppose that you estimate a model of house prices to determine the impact of having beach frontage on the value of a house.14 You do some research, and you decide to use the size of the lot instead of the size of the house for a number of theoretical and data availability rea- sons. Your results (standard errors in parentheses) are: PRICE; = 40 + 35.0 LOT¡ – 2.0 AGE; + 10.0 BED; – 4.0 FIRE; (1.0) (5.0) (10.0) (4.0) (10) N = 30 R2 =.63 where: PRICE¡ =the price of the th house (in thousands of dollars) =the size of the lot of the th house (in thousands of square feet) = the age of the th house in years =the number of bedrooms in the th house =a qualitative/dummy variable for a fireplace (1 = yes for the th house) LOT; AGE; BED; FIRE; a. You expect the variables LOT and BED to have positive coefficients. Create and test the appropriate hypotheses to evaluate these expectations at the 5-percent level. b. You expect AGE to have a negative coefficient. Create and test the appropriate…
An enquiry into the budgets of middle class families in Mumbai gave the following information : Clothing Fuel 20% Expenses on Food Rent Misc 35% 15% 10% 20% Pace (2016) ($) ence (2017) ($) 2500 2000 1400 400 600 2850 2200 1498 500 960 What changes in the cost of living figure of 2017 have taken place compared to2016?
5
1. Referring to Scenario 13-11, which of the following is the correct interpretation for the slope coefficient?a) For each decrease of 1 thousand downloads, the expected revenue is estimated to increase by $ 3.7297 thousands.b) For each increase of 1 thousand downloads, the expected revenue is estimated to increase by $ 3.7297 thousands.c) For each decrease of 1 thousand dollars in expected revenue, the expected number of downloads is estimated to increase by 3.7297 thousands.d) For each increase of 1 thousand dollars in expected revenue, the expected number of downloads is estimated to increase by 3.7297 thousands.
6. The annual population of Afghanistan is available in the global economy data set. a. Plot the data and comment on its features. Can you observe the effect of the Soviet- Afghan war? b. Fit a linear trend model and compare this to a piecewise linear trend model with knots at 1980 and 1989. c. Generate forecasts from these two models for the five years after the end of the data, and comment on the results.
An entrepreneur who owns and operates two businesses (A and B) would like to analyze their profitability. They would like your help in the analysis. They give you the annual net profit (in thousands of $) for each business from 2008-2020. Table 1: Annual Net Profits for Businesses A and B Business Year Profit Business Year Profit 2008 -50 2008 -10 2009 57 2009 30 2010 71 2010 27 2011 64 2011 22 2012 60 2012 21 2013 50 2013 20 A 2014 41 2014 24 2015 59 2015 24 2016 71 2016 32 2017 71 2017 36 2018 74 2018 37 019 81 20 40 2020 97 2020 49 a. Suppose you want to graph the distribution of profits. Explain why using only one stem- plot might not be optimal for the analysis. b. Describe the correct stemplot to use. Generate this stemplot. Explain your steps. What can you say about the distribution from this stemplot? c. When are stemplots useful? And why is that? d. Suppose that instead of having 26 observations you have 200 observations. What graph should you generate? e. What other type of…
3. Aquasystem performed a make/buy analysis to for making a new water filters. The filter sells for $50 that will require equipment that will cost $200,000 and $25,000 annual operating cost comprise the fixed cost. The variable cost is $20 per filter. The equipment has a 5 year life, no salvage value, and the MARR is 6% per year. The decision to make the filter was based on breakeven point and the historical sales level of 500 filter per year. a. Determine the breakeven point b. An engineer investigated that a supplier can make the filter for $30 each. Determine whether Aquasystem should make or buy the filters.
Referring to Scenario 13-11, which of the following is the correct interpretation for the slope coefficient?a) For each decrease of 1 thousand downloads, the expected revenue is estimated to increase by $3.7297 thousands.b) For each increase of 1 thousand downloads, the expected revenue is estimated to increase by $3.7297 thousands.c) For each decrease of 1 thousand dollars in expected revenue, the expected number of downloads is estimated to increase by 3.7297 thousands.d) For each increase of 1 thousand dollars in expected revenue, the expected number of downloads is estimated to increase by 3.7297 thousands.
QUESTIONS ARE:1.Using linear regression analysis, the estimated variable cost per labor hour for maintenance is closest to2.Refer to Paul Company. Using linear regression analysis, the estimated fixed cost per month for maintenance is closest to3.Refer to Paul Company. Based upon the data derived from the regression analysis, 450 maintenance hours in a month would mean the maintenance costs (rounded to the nearest peso) would be budgeted at

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