Abstract Introduction The Pearl River Delta has been a prosperous industrial area as many other areas in China in the last 3 decades. Although there is still growing demand for garment products the competition between factories has become fierce and factories will go the extra mile to keep clients’ satisfaction and deliver goods on time. Apart of the competition between factories‚ there are other threats which are making the Pearl River Delta less attractive for apparel firms. (a) The
Premium Regression analysis Linear regression Econometrics
Project Description Suppose you are an intern in a consulting firm that provides businesses and government agencies with advices on various social and economic issues. You are involved in the project of advising a pharmaceutical company that is interested in penetrating the market of Luckland (a country endowed with rich natural resources). Your supervisor‚ the project manager‚ needs some vital facts about the adult population of Luckland and asks you to answer the following questions. (i) What
Premium Statistics Regression analysis Linear regression
Fitting of Engel Curve: Rural Maharashtra Managerial Economics I: Section D Group 6 Completed Under the Guidance of Prof. Kaushik Bhattacharya September 2011 Indian Institute of Management‚ Lucknow Submitted on September 5th‚ 2012 Executive Summary This study aims to estimate and analyze the relationship between the monthly per capita expenditure on food and the monthly per capita total expenditure for households in rural Maharashtra. This relation
Premium Regression analysis Linear regression Consumer theory
Descriptive Statistics Mean Variance Standard Deviation Sample Covariance If it is greater than zero‚ upward sloping. This is scale dependent. Sample Correlation This is scale independent: between -1 and 1‚ close to 1 is upward‚ 0 is central‚ -1 is downward sloping. Finding the regression Regression formula with one regressor Slope Intercept Finding R2 TSS=ESS+SSR The Coefficient of Determination = R2 This gives the total fit of ‚ between 0 (chance) and
Premium Regression analysis Variance Standard deviation
ECON2206 Assignment 1 [pic] Question A [pic] in the equation above describes the relationship between price of the house and the size of the lot. The coefficient of “log(lotsize)” is the estimated elasticity of “price” with respect to “lotsize”. From this number‚ we learn that in this model‚ an additional square feet increase to the lotsize would increase the house price on average by[pic] %‚ assuming that the other independent variable in this model are held constant. Question B I would
Premium Real estate Regression analysis Arithmetic mean
Properties of OLS estimators Population regression line: E(y|x)=1+2x‚ Observation = systematic component + random error: yi = 1 +2 x + ui Sample regression line estimated using OLS estimators: = b1 + b2 x Observation = estimated relationship + residual: yi =+ ei => yi = b1 + b2 x + ei Assumptions underlying model: 1. Linear Model ui = yi - 1- 2xi 2. Error terms have mean = 0 E(ui|x)=0 => E(y|x) = 1 + 2xi 3. Error terms have constant variance (independent of x) Var(ui|x)
Premium Normal distribution Variance Estimator
Study Guide into the Fear‚ Greed‚ Fraud‚ Hubris and Massive Self-Delusion of the Financial Crisis of 2008-2010 by JMP (draft Aug 1‚ 2010) based upon TOO BIG TO FAIL author: Andrew Ross Sorkin (NYTimes) The Big Short author: Michael Lewis (Liar’s Poker) 13 Bankers: The Wall Street Takeover and the Next Financial Meltdown authors: Simon Johnson (MIT & IMF) & James Kwak CRISIS ECONOMICS: A Crash Course in the Future of Finance authors: Nouriel Roubini (NYU-Stern) & Stephen Mihm (NYTimes)
Premium Subprime mortgage crisis Federal Reserve System Central bank
Project 1: Linear Correlation and Regression Analysis Gross Revenue and TV advertising: Pfizer Inc‚ along with other pharmaceutical companies‚ has begun investing more promotion dollars into television advertising. Data collected over a two year period‚ shows the amount of money Pfizer spent on television advertising and the revenue generated‚ all on a monthly bases. |Month |TV advertising |Gross Revenue | |1 |17 |4.1 | |2
Premium Regression analysis Forecasting Linear regression
Types of Variables Binary variable Obsevations (i.e.‚ dependent variables) that occur in one of two possible states‚ often labelled zero and one. E.g.‚ “improved/not improved” and “completed task/failed to complete task.” Usually an independent or predictor variable that contains values indicating membership in one of several possible categories. E.g.‚ gender (male or female)‚ marital status (married‚ single‚ divorced‚ widowed). The categories are often assigned numerical values used as lables
Premium Causality Level of measurement Scientific method
Name: Work independently!!!! 1. To answer questions‚ copy and paste essential charts and excel results into this word file‚ and explain in details. 2. After you finish‚ send this word file and your excel spreadsheets to Problem 1. (50pts) From microeconomic theory it is known that the demand for a commodity generally depends on the income of the consumer‚ the real price of the commodity‚ and the real price of complementary or competing products. Chicken.xls includes the per capita consumption
Premium Statistics Regression analysis Supply and demand