Self-Lab 2 - Use Your Hand University of Gothenburg Department of Economics Applied Econometrics (MSc.)‚ Fall 2013 Alpaslan Akay University of Gothenburg This is your second homework. It is a lab that you are going to do it alone again. In the first lab you have learned how to operate Stata and calculate descriptive statistics. You also read a paper with an interesting research question. Self-Lab 2 covers some topics of Lecture 2 and 3. In this lab you are going to learn how to calculate
Premium Statistics Normal distribution Regression analysis
Roles of School Heckman‚ J.‚ Hidehiko I.‚ and Todd‚ P. (1997). Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme Heckman‚ J.‚ Hidehiko I.‚ Jeffrey S.‚ and Todd‚ P. (1996) Sources of Selection Bias in Evaluation Social Programs: An Interpretation of Conventional Measures and Evidence on the Effectiveness Heckman‚ J.‚ Hidehiko I.‚ and Todd‚ P. (1998b.) Matching as an Econometric Evaluation Estimator Jimenez‚ E. and Sawada‚ Y. (1998). Do community-managed
Free High school Primary education Statistical significance
m Problem1: The demand for roses was estimated using quarterly figures for the period 1971 (3rd quarter) to 1975 (2nd quarter). Two models were estimated and the following results were obtained: Y = Quantity of roses sold (dozens) X2 = Average wholesale price of roses ($ per dozen) X3 = Average wholesale price of carnations ($ per dozen) X4 = Average weekly family disposable income ($ per week) X5 = Time (1971.3 = 1 and 1975.2 = 16) ln = natural logarithm The standard errors
Premium Regression analysis Statistics Statistical significance
Programming Exercise 2: Logistic Regression Machine Learning October 30‚ 2011 Introduction In this exercise‚ you will implement logistic regression and apply it to two different datasets. Before starting on the programming exercise‚ we strongly recommend watching the video lectures and completing the review questions for the associated topics. To get started with the exercise‚ you will need to download the starter code and unzip its contents to the directory where you wish to complete the exercise
Premium Regression analysis Logistic regression Linear regression
ECMT1010 BUSINESS AND ECONOMIC STATISTICS A ASSIGNMENT Semester 1‚ 2011 This assignment is worth 10% of your total mark. It must be handed in by 4:30pm on Friday‚ 3 June in the marked drop-off boxes in the Merewether building (Level 2‚ reception area). Late assignments will not be accepted and will result in a zero mark. The assignment must be done individually and plagiarism will result in severe penalty and possibly a zero mark. The assignment will be marked out of 50. Marks
Premium Regression analysis Statistics Errors and residuals in statistics
SALES REPRESENTATIVE | NUMBER OF UNITS SOLD | NUMBER OF SALES CALLS | A | 28 | 14 | B | 66 | 35 | C | 38 | 22 | D | 70 | 29 | E | 22 | 6 | F | 27 | 15 | G | 28 | 17 | H | 47 | 20 | I | 14 | 12 | J | 68 | 29 | | | | | | | a) draw a scatter diagram of number of sales calls and number of units sold b) Estimate a simple linear regression model to explain the relationship between number of sales calls and number of units sold y=2.139x-1.760 Number of units
Premium Statistics Regression analysis Normal distribution
The “value of time” according to transport economics refers to the opportunity cost of the time that voyager spend on their journey. In other words‚ it is the amount that a traveler would be willing to pay in order to save time‚ or the amount they would accept as compensation for lost time. It’s a known fact that one of the main reasons behind the transport improvements is the amount of time that travelers can save. Using a set of values of time‚ the economic benefits of a transport project can be
Premium Economics Utility Econometrics
CASE STUDY: 1 The bulbs manufactured by a company gave a mean life of 3000 hours with standard deviation of 400 hours. If a bulb is selected at random‚ what is the probability it will have a mean life less than 2000 hours? Question: 1) Calculate the probability. 2) In what situation does one need probability theory? 3) Define the concept of sample space‚ sample points and events in context of probability theory. 4) What is the difference between objective and subjective probability
Premium Regression analysis Statistics Errors and residuals in statistics
Regression Analysis Exercises 1- A farmer wanted to find the relationship between the amount of fertilizer used and the yield of corn. He selected seven acres of his land on which he used different amounts of fertilizer to grow corn. The following table gives the amount (in pounds) of fertilizer used and the yield (in bushels) of corn for each of the seven acres. |Fertilizer Used |Yield of Corn | |120
Premium Statistics Regression analysis Linear regression
------------------------------------------------- Tzu Han Hung (Vivian) CASE 2 1. Estimated profit by random selection Expected spending per catalog mailed = 0.053 * $103 = $5.46 Expected Gross Profit by random select= (5.46-2)*180‚000 = $622‚800 2. a) We applied partition to “All_data” sheet‚ and partition output is shown in “Data_Partition1” b) Logistic regression output can be seen in “LR_Output1”. Target variable is “purchase”. We select every variable except sequence_number(meaningless
Premium Regression analysis Data Errors and residuals in statistics