Software: Stata or R

Day 1

Session 1. Survey Data in Applied Economics


◉Why survey data matter in economics
◉Types of surveys (household, labor force, enterprise…)
◉ Sampling strategies and representativeness
◉ Questionnaire design and field implementation
◉ Survey weights and common data-quality issues
◉ Lessons from real survey experience

Practical exercise

◉ Exploring a survey dataset
◉ Descriptive statistics
◉ Identifying and addressing data problems

Session 2. Regression Analysis Using Survey Data

Topics

◉ OLS and Probit from an applied perspective
◉ Choosing explanatory variables
◉ Functional forms and interpretation
◉ Robust and clustered standard errors
◉ Model diagnostics
◉ Presenting regression results

Practical exercise

◉ Estimating determinants of wages, employment, or educational outcomes

Day 2

Session 3. Causal Inference with Observational Survey Data

Topics

◉ Correlation versus causation
◉Sources of endogeneity
◉ Instrumental variables
◉ Propensity score matching
◉ Choosing an appropriate identification strategy

Practical exercise

◉ Estimating treatment effects using a survey dataset

 

Learning outcomes

◉ By the end of the workshop, participants will be able to:
◉ Understand the strengths and limitations of survey data;
◉ Prepare survey datasets for econometric analysis;
◉ Estimate and interpret regression models appropriately;
◉ Apply basic causal inference methods to observational data;
◉ Design transparent and reproducible empirical studies.

Boris Najman -

Professor and Researcher in Economics at the Department of Economics of Department of Economics od Université Paris-Est Créteil (UPEC) since 2002. 

My research and teaching activities focus on labour economics, development economics, and applied econometrics. Throughout my career, I have combined advanced econometric methods with qualitative and institutional analysis in order to better understand labour market dynamics, employment policies, migration, labour shortages, and labour mobility. I have taught labour economics, Institutional economics, and quantitative methods at several universities and institutions, including Paris 1 Panthéon-Sorbonne University, HEC Paris, Sciences Po, Carlos III University of Madrid, University of Belgrade, University of Siena, University of Lille, University of Versailles Saint-Quentin-en-Yvelines, International Training Centre of the ILO, IMT School for Advanced Studies Lucca, Kyiv-Mohyla Academy, Vietnam National University, and University of Sarajevo.

A central dimension of my work is the use of econometric analysis and survey-based empirical research. I have extensive experience in the design, implementation, and econometric exploitation of labour force surveys and enterprise surveys conducted in the Balkans, North Africa, and Ukraine. My research combines micro econometric techniques, institutional analysis, and field-based qualitative approaches to analyse labour market transformations and informality. My PhD research specialised in the informal economy in Ukraine, with a particular focus on the determinants of informal employment, the interactions between formal and informal sectors, and labour market adjustment mechanisms during economic transition.

More broadly, my empirical research examines the functioning of labour markets in transition and developing economies, relying on econometric modelling to study employment structures, wage dynamics, migration flows, labour shortages, and the impact of public policies. I have worked extensively with both cross-sectional and panel survey data, and I have developed expertise in quantitative labour market analysis for policy-oriented research.

In addition, I have conducted research on the political economy of oil in Central Asia and co-edited a collective volume on the subject published by Routledge.

As a consultant for the International Labour Organization, I conducted comparative research on the informal economy across several regions of the world, analysing the econometric determinants of informality, labour market segmentation, productivity differentials, and the competitive interactions between formal and informal firms. My work aimed to support evidence-based policy design through rigorous quantitative analysis combined with institutional and field research.

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Université Paris Est Créteil

Université Paris-Est Créteil (UPEC) is one of the major multidisciplinary universities within the Paris area. With 14 faculties, schools and institutes, 1 observatory and 32 research laboratories, UPEC has been present in all fields of knowledge since 1970, its serves a population of over 42,000 students.