Master in Applied Labour Economics for Development

This master responds to the need for more diverse expertise in the design and evaluation of policies in which international labour standards and fundamental rights at work go hand-in-hand with job creation and productive employment. It is intended to prepare participants to become experts in designing, analysing and evaluating policies that place employment at the heart of economic, social and development policy-making. The course will combine rigorous training in analytical and quantitative economic methods with an emphasis on what constitutes an appropriate policy, the legal and institutional framework for employment and decent work in different development contexts.

Master in Applied Labour Economics for Development

Deadline for application: 03 September 2017

Starting date: 22 October 2018

English

22 October 2018 - 31 December 2019

Blended

Master Information

Deadline for application: 03 September 2017

Starting date: 22 October 2018

English

22 October 2018 - 31 December 2019

Blended

Module C

C1 - Quantitative methods: econometrics

  • Statistics - Rosaria Ignaccolo (University of Turin)
  • Basic fundamentals in econometrics - Luigi Benfratello (Politecnico di Torino)
  • Stata - Fabio Berton (University of Turin)

C2 - Quantitative methods: econometrics and impact evaluation

  • Applied econometrics - Luigi Benfratello (Politecnico di Torino)
  • Impact evaluation - Lia Pacelli (University of Turin, Laboratorio R: Revelli)

C3 - Microsimulation:

  • General equilibrium models - Mohamed Ali Marouani (University of Paris I, IRD-DIAL and ERF)
  • Cost-benefit analysis - Antonio Estache (Université Libre de Bruxelles)
  • Micro-simulation - Roberto Leombruni (University of Turin, Laboratorio R. Revelli)

 

Statistics

The course will offer an overview of some standard topics in probability and inferential statistics. Students will be introduced to probabilistic and statistical tools that are routinely used in Econometrics and Economics:

  • Review of some probability concepts: discrete and continuous random variables;
  • Introduction to inferential statistics: sampling procedure and sample distributions;
  • Point Estimation, interval estimation, hypothesis testing.

Basic fundamentals in ecometrics

The course aims at providing students with the knowledge of basic concepts and tools in econometrics. The course will focus on linear regression models with both single and multiple regressors. Topics will be estimation by Ordinary Least Squares, interpretation of coefficients according to the nature of regressors (continuous or discrete) and to the functional form of the regression function, as well as inference in finite sample and asymptotically. The classes are complemented by lab session where real data are analysed with the help of the Stata econometric software.

Stata

This course aims at introducing MALED students to the use of the statistical software STATA, and to make them independent STATA learners. In addition, the course will also apply some of the theory presented in the Statistics course. Covered topics include:

  • Creation and use of data bases;
  • Creation and manipulation of variables;
  • Tabular and graphical description of variables;
  • Creation and manipulation of random variables;
  • Hypothesis testing.

Applied econometrics

The course is intended to provide students with knowledge of the basic tools in econometrics. The topics covered include estimation and inference in linear regression (with single and multiple regressors), panel data, and limited (binary, censored and truncated) dependent variable models. The classes are complemented by lab session where real data are analysed with the help of the Stata econometric software.

Impact evaluation

The course will deal with:

  • Conceptual issues, which will focus on causal effect, definition of outcome, counterfactual and controls;
  • Managing impact evaluation, in particular data collection, planning, policy test and roll-out.

The methods discussed and formalized will be:

  • randomized experiments;
  • matching;
  • diff in diffs;
  • instrumental variables;
  • regression discontinuity design.

The classes will be complemented by lab sessions where real data are analysed with the help of the Stata econometric software.

General equilibrium models

The course will deal with applied general equilibrium models (AGE) with a focus on labor markets issues and mainly on how to model some stylized facts observed in developing countries’ labor markets within AGE frameworks.

We will focus on:

  • Introduction to applied general equilibrium modeling;
  • The labor demand block;
  • Wage setting mechanisms and unemployment;
  • Labor supply, informal labor and migration;
  • Data issues.

Cost-benefit analysis

This module aims to introduce the participants to the basic concepts, theories and tools that may be applied to the analysis and management of projects and policies. The emphasis is on the policy use of the techniques.

Content:

1. Why and how of CBA:

  • Presentation of the technique in its broad policy context
  • Emphasis on the difference between financial and economics CBA
  • Discuss the potential use of the technique and its limits
  • CBA vs other techniques (multicriteria analysis, cost-effectiveness, , other);
  • Brief overview of their use in international organizations and OECD governments

2. CBA techniques and policy implications

  • Overview of techniques used to assess costs and benefits
  • Discussion of the relevance of the discount rate
  • Discussion of the match between techniques used to assess benefits and cost and their use with policy and project financing options.

3. Ex-post vs Ex-ante CBA

  • Examples to learn how to Interpret evaluations
  • Brief overview of their use in international organizations and OECD governments

4. Risk and Uncertainty

  • The different concepts
  • Their uses and Their limits

5. Public vs private evaluation of projects

  • The concepts again
  • The heterogeneity in their use
  • How CBA users …lie with CBA

Micro-simulation

The object of the course is the use of micro-simulations for the study of labour markets and for labour market policy design and evaluation.

The course will firstly focus on the basic ingredients of a microsimulation:

  • The sinthetic population - which has to be representative of the target population;
  • The normative rules – which are to be a detailed copy of actual ones and of the new ones object of the study;
  • The individual behaviours - which have to be implemented according to some realistic behavioural model.

The second step of the course will be to show how these ingredients can be used to build static vs. dynamic simulations, and accounting vs. behavioural simulations.

The third step of the course will be to discuss the inferential aspects of simulation models and review the main software packages that can be use to implement professional microsimulations.

International Training Centre of the ILO

Viale Maestri del Lavoro, 10
10127 Turin - Italy

Contact us