e-mail: peter at peterfoldvari.com

News and updates

22 Jan 2019: updated CV and publication list


23 Apr 2016: Updated publication list.


25 June 2015: I started uploading corrections for my lecture notes


14 April 2015:

Updated CV and list of publications


12 Jan 2015:

Updated CV and list of publications


26 Nov 2014:

Updated CV and list of publications


16 Sept 2014:

Updated CV and list of publications


22 May 2014: Univariate time-series lecture notes online


21 May 2014: Global income inequality data online




Current teaching:

Principles of Economics lectures+tutorials  (FEB, University of Amsterdam)

Macroeconomie 2 tutorial (FEB, University of Amsterdam)

Intermediate Macroeconomics lectures (PPLE, Universiteit van Amsterdam)

Economics, Markets and Organizations 1 Lectures (PPLE, University of Amsterdam)

Math refresher workshop for first-year students (PPLE)

Slide 1: functions


Slide 2: solving systems of equations

solving systems of equations

Slide 3: derivation

Slide 4: finding extrema and total derivative

Previous semesters

Introduction to Economics (BA - Rijksuniversiteit Groningen)

International Monetary Relations (BA - Rijksuniversiteit Groningen) 

Macroeconomics (PPLE, Universiteit van Amsterdam)

Quantitative tools for decision making (Master - USE Universiteit Utrecht)

Empirical Economics (master, Utrecht School of Economics)

Advanced methodology (PhD University of Debrecen)

Lecture 1 OLS at advanced level. The idea is to provide a link between introductory statistical courses and the treatment of OLS in more advanced texts.

Note 1 OLS with GRETL. An introductory tutorial for linear regression analysis with GRETL.

Lecture 2 Univariate time-series analysis.

Lecture 3 Multivariate statistical methods: Canonical correlation

Advanced time-series econometrics for International Master in Economic Development and Growth

This course was taught to international master students at the Lund University in Sweden in February and March 2012. The course is designed for those who has already followed some introductory econometrics course. In the future I would like to develop a more introductory course. Here I make my lecture notes online.

Lecture 1 Fundamentals of time-series, serial correlation, lag operators, stationarity. Long- andshort-run multipliers, impulse-response functions.

Lecture 2 Unit-root testing and the consequences of non-stationarity on regression analysis.

Lecture 3 Monte Carlo simulations and Bootstrapping.

Lecture 4 Econometric techniques for stationary series 1: Univariate stochastic models with Box-Jenkins methodology, simple forecasting techniques.

Lecture 5 Econometric techniques for stationary series 2: Distributed lag models, ARX type models, Koyck-transformation, Partial adjustment model, Granger causality.

Lecture 5a Testing for structural consistency

Lecture 6 Econometric techniques for non-stationary series 1: Cointegration and Error-Correction models.

Lecture 7 Conditional heteroscedasticity models: ARCH and GARCH techniques and their applications.

Lecture 8 Fundamentals of system estimation. Problems of identification. ILS, 2SLS, GMM.

Lecture 9 Vector Autoregression (VAR) techniques: motivation and applications. Estimation procedure. IRF and motivations for SVAR.

Lecture 10 Vector Error Correction (VEC): Johansen technique of cointegration testing, empirical applications.