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2018 Stata Econometrics Summer School - Lisbon, Portugal

  • Location: ISCTE-IUL, Lisbon
  • Duration: 5 days (16th July 2018 - 20th July 2018)
  • Software: Stata
  • Level: Various
  • Delivered By: Pierre Hoonhout, School of Economics and Management, University of Lisbon; Bruno Damásio, School of Economics and Management, University of Lisbon
  • Topic: Econometrics, Statistics, Summer School, Various methods
2018 Stata Econometrics Summer School - Lisbon, Portugal

Course Overview

Timberlake Portugal is organizing a Summer School in Econometrics. The Summer School aims to provide the full set of tools and techniques that any modern applied economist needs to know. Participants will learn the fundamental principles of modern econometrics, and will also learn how to apply the techniques properly using the software Stata.

The course will take place at ISCTE-IUL, located in the center of Lisbon, in July 2018.

All courses will be taught in English

Outline of All Courses

Our fifth annual Stata Summer School runs in Lisbon between 16-20 July 2018 The Stata Summer School comprises a series of four separate short courses that allows the flexibility to attend one, a combination of or all courses consecutively.

Day 1 - Introduction to Stata

  • The Workflow of Data Analysis;
  • Manipulating Data;
  • Estimation and Reporting;
  • Stata Graphics.

Day 2 - Single equation Linear Regression Models

  • Large Sample Approximations;
  • Method of Moments Estimation;
  • Generalized Method of Moments;
  • Practical session.

Day 3 - Systems of Linear Regression Equations and Panel Data

  • The General Model and Its Special Cases;
  • Estimating Systems;
  • Estimating panel data models;
  • Practical session.

Day 4 - Non-linear Regression Models

  • Binary Outcome and Multinomial Models;
  • Tobit Models with and without Endogeneity;
  • Selection Models;
  • Practical session.

Day 5 - Time-Series Analysis

  • Intro to Forecasting Methods;
  • ARIMA models
  • Box-Jenkins Methodology
  • Forecasting

Prerequisites

The Stata Econometrics Summer School is ideal at academic Staff, Masters / PhD students and professionals that need to analyse data regularly. It offers an efficient way to reach an advanced level of econometric analysis. Therefore, in order to get the most out of the course, basic knowledge of statistics and econometrics is required.

All courses will be taught in English.

DAY 1: Introduction to Stata

No prior knowledge of Stata required. Knowledge of using other statistical software is an advantage but not necessary.

DAY 2: Single Equation Linear Regression Models

Prior knowledge of Stata is not essential but very helpful;

DAY 3: Systems of Linear Regression Equations and Panel Data

A basic understanding of Stata and familiarity with regression analysis are required.

DAY 4: Systems of Linear Regression Equations and Panel Data

Basic knowledge of Stata and Regression Equations and Panel data

DAY 5: Time-Series Analysis

Basic knowledge of Stata and count Time-Series analysis

Terms & Conditions

  • Student registrations: Attendees must provide proof of full time student status at the time of booking to qualify for student registration rate (valid student ID card or authorised letter of enrolment).
  • Additional discounts are available for multiple registrations.
  • Cost includes course materials, lunch and refreshments.
  • Attendees are provided with temporary licences for the software(s) used in the course and will be instructed to download and install the software prior to the start of the course. Alternatively, we can also provide laptops for an additional cost of £12.00 per day.
  • If you need assistance in locating hotel accommodation in the region, please notify us at the time of booking.
  • Payment of course fees required prior to the course start date.
  • Registration closes 5-calendar days prior to the start of the course.
    • 100% fee returned for cancellations made over 28-calendar days prior to start of the course.
    • 50% fee returned for cancellations made 14-calendar days prior to the start of the course.
    • No fee returned for cancellations made less than 14-calendar days prior to the start of the course.

The number of seats available is restricted. Please register early to guarantee your place.

  •  CommercialAcademicStudent
    1-day pass (16/07/2018 - 16/07/2018)
    2-day pass (16/07/2018 - 17/07/2018)
    3-day pass (16/07/2018 - 18/07/2018)
    4-day pass (16/07/2018 - 19/07/2018)
    5-day pass (16/07/2018 - 20/07/2018)

All prices exclude VAT or local taxes where applicable.

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