PhD Courses

PhD Courses

FAIR organizes PhD courses in labor economics or econometrics every year.

28 August - 1 September 2017
NHH, Bergen

Advanced Microeconometrics

With A. Colin Cameron (U.C. Davis) 

The objective of the course is to introduce students to topics in contemporary empirical research. The course is divided four main themes:

  • Count Regression: Poisson, negative binomial, hurdle, zero-inflated, mixtures, endogeneity, panel data
  • Clustered Data: OLS with cluster-robust standard errors, feasible GLS, serially correlated errors, random effects, mixed models; bootstrap without asymptotic refinement, fixed effects, what to cluster over, twoway clustering, spatial correlation, few clusters, bootstrap with asymptotic refinement, nonlinear models, endogenous regressors
  • Simulation: Pseudo random draws, Monte Carlo integration, Gaussian quadrature, Monte Carlo experiment, Maximum simulated likelihood, Bayesian approach, Bayesian analytical example
  • Nonparametric and Semiparametric Estimation

The various methods will be illustrated using Stata. For further information, please see the program

The course is organized by Aline Bütikofer and Kjell G. Salvanes at the Center for Empirical Labor Economics (CELE) at NHH's new Center of Excellence, FAIR. If you would like to attend, please register by August 7, 2017. The number of participants is limited.

Non-NHH PhD students should send in a completed application form (Word 30.1 KB) to where they apply for visiting status for ECS556 Advanced Microeconometrics

The students will also be given the opportunity to present their own research. To get credit (5 ECTS) for the course, students need to attend all lectures and lab sessions and complete a take-home exam. Required prerequisites: Successful completion of an introductory econometrics course on the doctoral level. Presumed background: Maximum likelihood estimator, nonlinear least squares estimator, asymptotic theory for m-estimators, statistical inference, gradient methods, computation of marginal effects, nonlinear GMM.

There is no course fee. CELE does not provide accommodation during the course. For information on accommodation in Bergen and travel to NHH, please check the information on accommodation and travel.

If you have any questions concerning participation or other administrative issues, please contact: Dagny Kristiansen, Department of Economics, NHH, Helleveien 30, N-5045 Bergen, Norway, email:
Local organizer: Aline Bütikofer and Kjell Salvanes

Previous PhD Courses

29 August - 1 September 2016



Human capital is one of the core concepts of economics, helping us to explain diverse phenomena.  This course explores several new areas of application for human capital theory.  The course begins with an overview of recent work examining early childhood as a critical period for the development of human capital, and considering health as a key form of human capital. 

The course will then consider the inter-relationship between education and health, and the relationship between mental health and human capital.  The course will then turn to the consideration of expertise as an especially important manifestation of human capital, with links to career choice, decision making, and contract design.

Local organizer: Aline Bütikofer and Kjell Salvanes
3 - 7 August 2015

Causal Inference without Experiments: Empirical Strategies and Examples

with Gordon Dahl (UC San Diego)

This course will discuss various cutting-edge strategies for obtaining causal estimates without an experiment, with examples from labor, public finance, health, and education. Methods which allow for selection on observables as well as selection on unobservables will be covered.  The course will explore the pros and cons of using panel data, social experiments, regression discontinuity, register data, and simulated instrumental variables to arrive at causal estimates.  An emphasis will be placed on current best practices, with empirical examples ranging from the evaluation of social safety net programs, to the effect of educational policy reforms, to the identification of peer effects.
Local organizer: Aline Bütikofer and Kjell Salvanes
18 - 22 August 2014

Empirical Strategies

with Josh Angrist (MIT)

Empirical Strategies is a short course based on Mostly Harmless Econometrics by Angrist and Pischke (Princeton University Press, 2009) and introduces PhD students to cutting-edge empirical strategies for causal inference. Professor Angrist will hold a series of lectures on the key approaches for causal inference in econometrics; this is a literature that he has profoundly shaped by his own work on treatment e ffects in settings with endogenous compliance. A close understanding of these methods is central to current empirical work in economics but also in business, finance, political science and sociology. Advanced theoretical frameworks will be illustrated throughout the course with recent applications.
Local organizer: Aline Bütikofer and Kjell Salvanes
Josh Angrist, 2014
Josh Angrist, 2014