Class Quantitative Methods for Economics

This course offers a practical introduction to data analysis such that, as future researchers, the students can independently develop their own sample to population statistical analysis and/or interpret indicators generated from a statistical software package. Not only they will be able to decide upon a single random variable characteristics as to investigate relationships between variables (quantitative or categorical), with the goal of creating a model to predict a future value for some dependent variable or just to understand the type of relationship (if any) between variables.

Contingency analysis and data tables

1. Knowledge and Understanding analyse data (in an inference context) and interpret software outputs in order to produce information to help a decision maker. 2. Subject-Specific Skills Be familiar with the following topics: - Samples vs Population - Parameters, Estimates, Confidence Intervals and Hypothesis Testing - Central Limit Theorem - Independence, Correlation, Causation - Contingency Analysis - ANOVA - Linear Regression Analysis - Ordinary Least Squares

Lectures in theorital-pratical regime with resources to softwares such as - Excl and Gretl (freeware). The evaluation consists: 1. Elaboration of one work - 50% of the final grade 2. Cases studies/Quizzes 2. Final test - 50% of the final grade 

Newbold, P., Carlson, W. &Thorne, B. (2013), Statistics for Business and Economics, 8th Ed. Prentice Hall

Newbold, P., Carlson, W. &Thorne, B. (2007), Statistics for Business and Economics, 6th Ed. Prentice Hall (com exercícios online) Online resources: http://wps.prenhall.com/bp_newbold_statbuse_6/53/13699/3507189.cw/index.html Johnston, J. e Dinardo, John (2000), Métodos Econométricos, McGraw-Hill, 4th Ed