![Economics Today and Tomorrow, Student Edition](https://www.bartleby.com/isbn_cover_images/9780078747663/9780078747663_largeCoverImage.gif)
Concept explainers
The reason that the consumer finance agencies are allowed to charge higher rates of interest from the consumers as compared to other lending institutions of credit.
![Check Mark](/static/check-mark.png)
Answer to Problem 4R
High rate of interest is charged by the finance agencies as compared to the lending institutions (banks) because the finance agencies easily provide huge amounts of loans to the businesses for which the banks won’t approve.
Explanation of Solution
The consumer finance agencies do not accept deposits as the other lending institutions such as banks do. They just advance the loans to the consumers on some security.
Such finance companies charge higher rates of interest from the consumers as compared to banks because it is easy for the consumers to take large amounts of loan from such agencies easily which they cannot get from the banks. Moreover the small businesses are benefited because they can easily get huge amounts of loans from such agencies for which they won’t get facilitated from the commercial banks.
Introduction:
Consumer finance agencies are those which provide the facility of credit in the form of loans to the consumers for the purchase of consumer goods or to the traders by taking the time-sales contracts.
Majorly there are three types of finance companies:
1. Business
2. Consumer
3. Sales
The lending institutions majorly as the commercial bank can be defined as the institution which provides the services of accepting deposits and advancing loans to the people.
Chapter 4 Solutions
Economics Today and Tomorrow, Student Edition
Additional Business Textbook Solutions
Financial Accounting: Tools for Business Decision Making, 8th Edition
Horngren's Financial & Managerial Accounting, The Financial Chapters (Book & Access Card)
Auditing And Assurance Services
Foundations Of Finance
Fundamentals of Management (10th Edition)
Advanced Financial Accounting
- Problem 3 Simple Bivariate Regression Consider the following bivariate regression model: NAMEUIN Page 1 of 2 = Hourly Wages, Bo+B₁Education; + & where Education measures the years of experience at the job for an individual and Hourly Wage is the hourly wage in dollars. The subscript i indexes various people. You run a bivariate OLS regression to estimate Bo and B₁. Suppose you estimate B = 10 and B a. 0 = 2 How do you interpret the estimates ßo and ß₁ in this context? (3 points) 1 b. Define the terms "predicted/fitted value" and "residual”. (3 points) c. Suppose that for some individual, the predicted value of Hourly Wage is $20, and the residual is 2. What is the actual Hourly wage for the individual? Show your work. (4 points) d. Suppose that some individual has 10 years of Education, and his actual hourly wage is $35. What is the predicted outcome and residual for this individual? Show your work. (5 points)arrow_forwardProblem 1 The Core Model Suppose you are interested in studying the effect of workers' training (measured by the number of training hours) on employee productivity (measured by output per hour). a. What is the dependent and independent variable in this setting? (2 points) b. How would you write this relationship using the Core Model? (3 points) C. Do you expect the slope coefficient ẞ₁, (which shows relation between teacher's experience and test scores) to be positive or negative? Explain your reasoning. (5 points) d. Name any two factors that are likely included in the error term of your model? (5 points)arrow_forwardProblem 2 Endogeneity Suppose you are interested in how social media usage affects students' academic performance. Consider the following model: GPA; = ßo + ß₁Social Media Hours; + ɛ; where GPA, is the grade point average of a student and Social Media Hours; measures how many hours the student spends on social media every week. Each student is denoted by the subscript i. a. What is the dependent variable Y in this setting? What is the independent variable X in this setting? (4 points) b. What does Bo C. What does ẞ1 = 3 mean? (2 points) = 0.2 mean? (3 points) d. What is the condition for the independent variable Social Media Hours; to be endogenous? (5 points) e. Is the independent variable likely to be endogenous? Why or why not? (3 points) f. If yes, describe a scenario where the independent variable is endogenous. (3 points)arrow_forward
- Not use ai pleasearrow_forwardNot use ai pleasearrow_forwardRound Tree Manor is a hotel that provides two types of rooms with three rental classes: Super Saver, Deluxe, and Business. The profit per night for each type of room and rental class is as follows. Rental Class Super Saver Deluxe Business Room Type I Type II $30 $35 $20 $30 $40 Round Tree's management makes a forecast of the demand by rental class for each night in the future. A linear programming model developed to maximize profit is used to determine how many reservations to accept for each rental class. The demand forecast for a particular night is 140 rentals in the Super Saver class, 50 rentals in the Deluxe class, and 40 rentals in the Business class. Round Tree has 100 Type I rooms and 120 Type II rooms. (a) Formulate and solve a linear program to determine how many reservations to accept in each rental class and how the reservations should be allocated to room types. (Assume S₁ is the number of Super Saver rentals allocated to room type I, S₂ is the number of Super Saver…arrow_forward
- Principles of Economics (12th Edition)EconomicsISBN:9780134078779Author:Karl E. Case, Ray C. Fair, Sharon E. OsterPublisher:PEARSONEngineering Economy (17th Edition)EconomicsISBN:9780134870069Author:William G. Sullivan, Elin M. Wicks, C. Patrick KoellingPublisher:PEARSON
- Principles of Economics (MindTap Course List)EconomicsISBN:9781305585126Author:N. Gregory MankiwPublisher:Cengage LearningManagerial Economics: A Problem Solving ApproachEconomicsISBN:9781337106665Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike ShorPublisher:Cengage LearningManagerial Economics & Business Strategy (Mcgraw-...EconomicsISBN:9781259290619Author:Michael Baye, Jeff PrincePublisher:McGraw-Hill Education
![Text book image](https://compass-isbn-assets.s3.amazonaws.com/isbn_cover_images/9780190931919/9780190931919_smallCoverImage.gif)
![Text book image](https://www.bartleby.com/isbn_cover_images/9780134078779/9780134078779_smallCoverImage.gif)
![Text book image](https://www.bartleby.com/isbn_cover_images/9780134870069/9780134870069_smallCoverImage.gif)
![Text book image](https://www.bartleby.com/isbn_cover_images/9781305585126/9781305585126_smallCoverImage.gif)
![Text book image](https://www.bartleby.com/isbn_cover_images/9781337106665/9781337106665_smallCoverImage.gif)
![Text book image](https://www.bartleby.com/isbn_cover_images/9781259290619/9781259290619_smallCoverImage.gif)