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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1) Your company manufactures, among other things, pencil cases. Noting that sales have fallen in recent years, you decide to see if it is possible to straighten the market trend. You raise the sales volume as well as the price over the past few years. The results are given opposite, the comparison being made in constant dollars. Year Price ($) Annual sales in thousands year price annual sales 1982 1,50 35 1983 1,75 31 1984 1,95 28 1985 2,30 24 1986 3,00 10 a) Graph the data. b) Using these data, construct a model describing the relationship between price and sales volume. c) The company wishes to dispose of what it can produce without asking workers to work overtime without stopping its other productions, i.e. 20,000 cases. What should be the price for sell off production? d) Calculate the correlation coefficient. What does this coefficient tell you?
10
chapter 5 10. A buyer plans to purchase 250 towels for the store's harvest sale and to retail each towel for $7.50. He has placed an order for 128 towels that cost $3.25 each. What is the most he can pay for each of the remaining towels if he wishes to average a 42% markup? Present your answer with a dollar-sign, comma separator, and rounded to the penny (i.e. $1,250.88).
Assume a company reported the following results: Sales Variable expenses Contribution margin Fixed expenses Net operating income $ 400,000 260,000 140,000 40,000 100,000 Average operating assets $ 500,000 If the company's minimum required rate of return on average operating assets is 16%, its residual income would be: Multiple Choice О $20,000. $21,000. $22,000. $23,000.
13. answer the question in the picture!
The Big Mac index is a way of measuring Purchasing Power Parity (PPP) between different countries. By diverting the average national Big Mac prices to U.S. dollars, the same goods can be informally compared. The Big Mac can also be a good indicator for the individual purchasing power of an economy since he exists worldwide in standard size, composition and quality. Price # of Countries Rel. f. Cum. f 1.50-1.99 2 2.00-2.49 4 2.50-2.99 7 3.00-3.49 9. 3.50-3.99 7 4.00-4.49 8 4.50-4.99 9 5.00-5.49 7 5.50-5.99 1 6.00-6.49 2 6.50-6.99 1 a. What is the statistical name of the table above? b. How many countries were sampled? c. State the class width. d. Calculate the mean and standard deviation of the average prices of a Big Mac worldwide. Attach correct symbols and units to your answers. Explain how you obtained your answers.
2
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…
(b) Table 1 shows consumables usage data from a leading manufacturer. Forecast the demand for August, September and October using: i) a three-month moving average ii) a four-month weighted moving average using 50 percent of the actual usage for the most recent month, 20 percent of two months ago, 15 percent of three months ago and 15 percent of four months ago. Using an example, explain what are the benefits of using the weighted moving average method of forecasting instead? Month February 2023 March 2023 April 2023 May 2023 June 2023 July 2023 Consumables Used 884 892 972 990 956 880
A paper included analysis of data from a national sample of 1,000 Americans. One question on the survey is given below. "You owe $3,000 on your credit card. You pay a minimum payment of $30 each month. At an Annual Percentage Rate of 12% (or 1% per month), how many years would it take to eliminate your credit card debt if you made no additional charges?" Answer options for this question were: (a) less than 5 years; (b) between 5 and 10 years; (c) between 10 and 15 years; (d) never-you will continue to be in debt; (e) don't know; and (f) prefer not to answer. A USE SALT (a) Only 355 of the 1,000 respondents chose the correct answer of "never." Assume that the sample is representative of adult Americans. Is there convincing evidence that the proportion of adult Americans who can answer this question correctly is less than 0.40 (40%)? Use the five-step process for hypothesis testing (HMC3) described in this section and a = 0.05 to test the appropriate hypotheses. (Hint: See Example…
Compute the NPV statistic for Project Y if the appropriate cost of capital is 12 percent. (Negative amount should be indicated by a minus sign. Do not round intermediate calculations and round your final answer to 2 decimal places.) Project Y Time: 1 2 3 4 Cash flow: -$8,000 $3,350 $4,180 $1,520 $300
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…

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