When survey respondents deliberately falsify their income this is most likely due to which type of bias? Group of answer choices: Acquiescence bias Nonresponse bias Social desirability bias Measurement instrument bias None of the above

When survey respondents deliberately falsify their income this is most likely due to which type of bias? Group of answer choices: Acquiescence bias Nonresponse bias Social desirability bias Measurement instrument bias None of the above

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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Taubman et al., (2014) used data collected in the Portland, OR metro area to study the Impact Medicaid on emergency department (ED) use. The figure below shows the percent of respondents who have been to the ED at all (left hand side of the figure) and the average number of ED visits (right hand side of the figure). The dark blue bars represent the mean for the control group, and the light blue bars add in the "Medicaid" effect found in the paper. The black "capped" bar represents the confidence interval for the Medicaid effect. Percent with Any Visits 50 €30 20 10 O Any O O Any and Total ED Use Emergency Department Data Control Mean Control Mean plus Medicaid Effect Cl for Medicaid Effect The results above imply that the price elasticity of demand for emergency department use is Number of Visits perfectly inelastic not perfectly inelastic perfectly elastic
If banks continue to offer new services (such as insurance or securities services), their noninterest income will decrease over time. Group of answer choices: True False
Question A team of environmental researchers is undertaking a comprehensive study to explore the relationship between car usage and air quality in cities of various sizes. The study focuses on PM2.5 levels, small particulate matters that significantly impact health and are often associated with vehicle emissions. To account for other factors that may affect air quality, the researchers include additional variables in their analysis. The amount of green space in each city is considered, recognizing its potential role in air purification and pollution reduction. Moreover, the study exam- ines the impact of environmental regulations, which vary across cities and can profoundly influence pollution levels through policy measures. The dataset for the study is comprehensive, encompassing a broad spectrum of cities, from densely populated metropolises to smaller towns. This diversity provides a rich context for analyzing how urban scale and characteristics interplay with vehicular emissions…
With focus group interviews, a) researchers try to select a large sample so that they can extend the results to the whole population. b) the objective is to get the group to interact, so that many ideas are generated. c) it is typical for the researcher to develop quantitative summaries of the results. d) marketing managers can estimate the size of the market for a new product. consumers talk as a group for about 10 minutes and then meet individually with an interviewer.
Two travelers on a plane have identical luggage and each contains an identical plate of rare china. Both plates are worth the same amount and only the two travelers know their true value. The airline loses both bags. The travelers are informed that the airline is liable to compensate them only up to $300. In order to determine an honest appraisal of the value of the plates, each traveler is taken to a separate room and asked to write down
T or F A household is frequently used in analyses because more consistent data are usually collected at that level.
Which of the following is true of heteroskedasticity? a) The R-squared statistic is affected by the presence of heteroskedasticity b) Heteroskedasticty causes inconsistency in the Ordinary Least Squares estimators c) The OLS estimators are not the best linear unbiased estimators if heteroskedasticity is present d) It is not possible to obtain F statistics that are robust to heteroskedasticity of an unknown form
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The question is the last bolded test. You need the previous questions to answer the last. Thank you for your time and help. You are the manager of a firm that sells CR2032 batteries for car key fobs and other electronic goods. You typically sell the fobs for $7 for a four-pack and sell an average of 27,192 four-packs per month. Due to increased labor costs, you decide to raise the price to $9 per four-pack. When you do this your monthly sales fall to 22,248 four-packs Assuming that your firm’s demand function is linear (i.e., takes the form ), calculate the linear demand function 22,248-27,192/9-7= -4944/2= -2472 Demand equation as 27,192 = a-2472(7) => a=27192+17304 =>a=44,496 27192= -2472x7+b 27192= -17304+b 27192+17304=44,496 Demand function is Q= -2472P+44,496 . Using the demand function that you estimated in the previous problem Calculate demand and total revenue when the price is $7 Q= -2472x7+44,496= -17,304+44,496= 27,192 Total revenue=PxQ=7x27,192=…
Suppose you are interested in studying the effect of time spent in an SAT preparation course on actual SAT score. You propose the following regression of SAT score on hours spent in preparation for SAT and family income: Y = Bo + BiX + B2X2 + u Where Y = score on SAT X₁ = time spent in studying in an SAT preparation course X₂ = income of the student's family u = error term An important assumption in the regression model with two independent variables is that E(u|x₁,x₂)=0. Assume for simplicity that the only other relevant factor (contained in the error term) that affects Y is natural ability. That is, natural ability and u are essentially equivalent in your regression. In the context of your proposed regression, this assumption assumes which of the following?
Give an example of a kind of sampling error you might see in a poll besides random sampling error