A dominant or price setting firm and several smaller price takers serve a market where total market demand is Qd = 560-2P and the combined supply from all the smaller firms is Qs=-60+2P. Does this market meet the assumptions that the dominant firm has at least a market share of 50%? (you must motivate your answer numerically)

A dominant or price setting firm and several smaller price takers serve a market where total market demand is Qd = 560-2P and the combined supply from all the smaller firms is Qs=-60+2P. Does this market meet the assumptions that the dominant firm has at least a market share of 50%? (you must motivate your answer numerically)

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

i need the answer quickly
Please answer the question with explanation..i'll give you multiple upvote.
QUESTION 12 Given a set of activities S = , where a1: starting time 2, finishing time 5; a2: starting time 4, finishing time 8; a3: starting time 5, finishing time 7; a4: starting time 3, finishing time 4; a5: starting time 2, finishing time 6; a6: starting time 8, finishing time 10; The size of the maximum-size set of mutually compatible activities is O 4 2 3 none of these
Must be done in excel please. Make sure to show how to add cell please. Thank you so much. Needs to be done in excel please.
Suppose that each firm in a perfectly competitive market has a cost of TC = 75 + 500Q - 5Q2 + 0.5Q3 Determine if this is a short-run or long-run cost function (motivate):
Credit Scoring
I would like to model a sales process in R by using the binomial distribution. How can I do that? My initial values are: #Target Grouptarget_group <- 1000 #Leadslead_rate <- 0.1lead_cost <- 5 #Appointmentsappointment_rate_assistant <- 0.15appointment_cost <- 50 #Conversionsconversion_rate_representative <- 0.8conversion_cost <- 100# Traditional Marketing Metrics (Classical KPIs - Base)current_month_revenue <- 50000 # Current month revenuelast_year_month_revenue <- 45000 # Revenue for the same month last yeartarget_sales <- 800000 # Target sales per Month# Customer Base Metrics (Existing Customers)average_order_value_existing <- 10000 #Average order valueretention_rate <- 0.8 #Retention rate# New Customer Acquisition Metricsaverage_order_value_new <- 15000
Can you solve this question?