< teaching
I have been mainly teaching quantitative subjects. I am currently responsible for the PhD level short course in Econometric Modelling (as a part of the course on Research Methods) and Master level courses in Econometric Analysis and Global Economy: Theories and Applications, all delivered at Vilnius University.
I also have extensive experience teaching short courses (e.g. summer schools, courses for policymakers, etc). Previously, I have had experience in teaching on different aspects in International Economics (especially, on International Trade), Mathematics and Statistics for Economists, Econometrics (at both, undergraduate and graduate levels) at University of Cambridge where I also supervised and examined undergraduate (BA) and graduate (MPhil) dissertations in international economics and econometrics, in particular spatial econometrics and heterogeneous dynamic panels.
2018/2019
PhD Advanced Econometrics, Part I. Jointly at KTU and Vilnius University
Forthcoming
BSc Quantitative Economics, Course on Statistical Theory. Vilnius University
 Lecture Notes (available on Moodle)
 Problem Set I (available on Moodle)
 Problem Set II (available on Moodle)
 Other Materials (Special Problem Sets, Statistical Tables, Mock Exams, Texts)
Introduction
Main Concepts
Descriptive Statistics
Combinatorics
Probability
Random Variables and Distribution Functions
Moments
Special Distributions
Normal
ChiSquared
Student’s t
Fisher’s F
Properties of Sample Statistics
Hypothesis Testing
Regression
2017/2018
PhD Course in Research Methods, a part on Econometric Modelling (Autumn Semester). Vilnius University
 Syllabus
 Lecture Notes
 Problem Set 1  Abridged Solutions
 Problem Set 2  Abridged Solutions
2016/2017
MSc/MA Course in Global Economy: Theories and Applications (Spring Semester). Vilnius University
MSc/MA Course in Econometric Analysis (Spring Semester). Vilnius University
 Syllabus
 Lecture Notes
 Problem Set 1
 Problem Set 2
 Final Exam (Mock exam and abridged solutions are available to students only)
PhD Course in Research Methods, a part on Econometric Modelling (Autumn Semester). Vilnius University
 Syllabus
 Lecture Notes
 Problem Set 1  Abridged Solutions
 Problem Set 2  Abridged Solutions
2015/2016
Classes of Theory and Practice of Econometrics (Paper 3)  Michaelmas Term. University of Cambridge
 Slides 2 (Anatomy of Multiple Regression and Hypotheses Testing). Problem Set 2. Data Set
 Slides 3 (Properties of Estimators and Program Evaluation). Problem Set 3
 Slides 4 (Endogeneity, IVs, and TSLS). Problem Set 4. Data Set 1. Data Set 2
 STATA, remote access for Cambridge students
 My teaching page on the Faculty's website: http://www.econ.cam.ac.uk/links/part2apaper3PL.html
Mathematics and Statistics for Economists (Paper 3). University of Cambridge
 Course website
 Main texts: Chiang and Wainwright, Goldberger, and Miller and Miller.
 All supervision material accessible to supervisees only.
Theory and Practice of Econometrics (Paper 3). University of Cambridge
 Course website
 Texts: Stock and Watson (main) and Wooldridge (supplementary).
 All supervision material accessible to supervisees only.
Summer 2014/2015
Introduction to the Theory and Practice of Global Macroeconomic Modelling (Slides  available to participants only). Bank of Lithuania (guest lecturer)
This is an introductory course to the global econometric modelling, which covers both econometric theory and applications. I base the lectures on the following books:
 M. H. Pesaran (2015): Time Series and Panel Data Econometrics. Oxford University Press.
 di Mauro, F., and M. H. Pesaran (2013): The GVAR Handbook: Structure and Applications of a Macro Model of the Global Economy for Policy Analysis. Oxford University Press.
 Garratt, A., K. Lee, M. H. Pesaran, and Y. Shin (2006): Global and National Macroeconometric Modelling: A LongRun Structural Approach. Oxford University Press.
The course is composed of theory lectures, practical sessions, and theoretical exercises, to be solved during the lectures and discussed with all the participants. Full solutions are available to participants. You can find a full syllabus here.
The structure of a twoweeks course is as follows:
 The Preview of GVAR Applications
 Introduction to the VAR modelling
 Introduction to the Cointegrating VARs
 Testing of Cointegrating VARs
 Identification
 Impulse Responses
 Introduction to the GVAR modelling
 Generalised Impulse Responses
 Extensions of GVAR
 Weight Matrices
 Stability Conditions
 Practicals: use of GVAR Toolbox (Matlab and/or R)
 MultiCountry Rational Expectations Models
 Theory: Steady States
 Theory: Structure of a Model
 Estimation
 Practicals: use of GVAR Toolbox (Matlab)
 Discussion on Current Applications of GVAR; Further Research Directions
International Finance (Slides  available to participants only)
2014/2015
Mathematics and Statistics for Economists (Paper 3). University of Cambridge
 Supervision 1: (Partial) Derivatives, Homogeneity, Euler's Theorem
 Supervision 2: Probability and Hypotheses Testing
 Supervision 3: Further Constrained and Unconstrained Optimisation
 Supervision 4: Further Probabilities, Hypotheses Testing, and Estimators
 Supervision 5: Constrained and Unconstrained Optimisation and Matrix Algebra
 Supervision 6: Further Hypotheses Testing and Sampling Distributions
 Supervision 7: Applications of Linear Algebra
 Supervision 8: Introduction to Least Squares
 Supervision 9: Integration, Taylor Series, Difference Equations
 Supervision 10: Further Least Squares. Hypothesis Testing
 Supervision 11: Multiple Regression
 Supervision 12: Differential Equations
 Mock Exams (available to my students only)
 Additional sources (caveat: required topics differ from this year's paper)
Theory and Practice of Econometrics (Paper 3). University of Cambridge
 Supervision 1: Probability
 Supervision 2: Regression, OLS and its Properties
 Supervision 3: Regression, Interpretation of Results
 Supervision 4: Multiple Regression and Testing
 Supervision 5: Dynamic Models, Units Roots
 Supervision 6: Revision
 Supervision 7: Endogeneity and Instrumental Variables
 Supervision 8: Discrete Choice and Panel Data Models
 Supervision 9: Partial Adjustment and ECMs
 Supervision 10: Vector Autoregressive Models
 Mocks Exams (available to my students only)
 Additional sources
 Useful Book References:
2013/2014
International Finance (Slides  available to participants only)
 Introduction to Global Financial System
 The US 'Exorbitant Privilege'
 The 'Original Sin'
 National and International Money
 International Monetary Fund
 Macroeconomic Interdependence and the Policy Trilemma
 Interdependence and Contagion
 Macroeconomic Interdependence
 Contagion of Currency Crises
 Capital Flows
 Theory
 Empirics
 Summary
Introduction to World Trade Organisation (Slides  available to participants only)
 World Trade Organisation (WTO)
 Basic Facts of the GATT and WTO
 Regulation of Trade
 Some Trade Theory
Econometric Methods. University of Cambridge
(MPhil Economics & MPhil Economic Research & MPhil Finance and Economics)
 Lecture Notes
 Readings
 Summary Notes (updated)
 Revision Notes
 Problem Set 1. Stata File. Solutions
 Problem Set 2. Solutions
 Problem Set 3. Solutions
 Mostly Harmless Econometrics
 Theil, H. (1983), Linear Algebra and Matrix Methods in Econometrics, in Handbook of Econometrics, Vol. 1, edited by Z. Griliches and M. D. Intriligator
 Abadir, K. M. and J. R. Magnus (2002), Notation in econometrics: proposal for a standard, Econometrics Journal, 5: 7690.
 Buse, A. (1982), The Likelihood Ratio, Wald, and Lagrange Multiplier Tests: An Expository Note, The American Statistician, 3(1): 153157.
 Engle, Robert F.(1984), Wald, likelihood ratio, and Lagrange multiplier tests in econometrics, in: Z. Griliches & M. D. Intriligator (ed.), Handbook of Econometrics, 1(2), Ch 13, 775826.
Mathematics and Statistics for Economists (Paper 3). University of Cambridge
 Supervision 1: (Partial) Derivatives, Homogeneity, Euler's Theorem
 Supervision 2: Probability and Hypotheses Testing
 Supervision 3: Constrained and Unconstrained Optimisation and Matrix Algebra
 Supervision 4: Further Hypotheses Testing and Sampling Distributions
 Additional sources (caveat: required topics differ from this year's paper)
 Supplementary Material
 Supervision 5: Further Optimisation
 Supervision 6: Least Squares and GaussMarkov Theorem
 Supervision 7: Taylor Series and Discrete Dynamical Systems
 Supervision 8: Further Regression Analysis
 Mock Exam
 Holiday Problem Sets and Selected Solutions
Submit your scripts at least 24 hours before supervision.
Theory and Practice of Econometrics (Paper 3). University of Cambridge
 Introductory Notes
 Microeconometrics
 Macroeconometrics
 Overview of Regression Analysis
 Supervision 1: Probability
 Supervision 2: Regression
 Supervision 3: Multiple Regression and Testing
 Supervision 4: Dynamic Models
 Supervision 5: Endogeneity and IVs
 Supervision 6: Discrete Choice and Panel Data
 Supervision 7: Partial Adjustment and ECMs
 Supervision 8: VARs
 Econometric Project
2012/2013
No teaching for this academic year. I am based at Kiel Institute for the World Economy.
2011/2012
International Trade Theory and Policy (Paper I). University of Cambridge
 Material available here (access details are given to my supervisees only)
 Additional Notes on International Trade Theory:
 ‘Old’ and ‘New’ Trade Theory,
 Political Economy of Trade Policy,
 Trade and Endogenous Growth,
 Trade Gravity.
 Supervision 1: Classical Trade Theories and Factor Movements.
 Supervision 2: Trade Policy. Trade and Market Structure.

Additional Material: Krugman, P. (1979), Increasing returns, monopolistic competition, and international trade, Journal of International Economics, 9(4): 469479.
 More on Preference Structure Used in the Supervision: Salop, S. (1979), Monopolistic Competition with Outside Goods, Bell Journal of Economics, 10: 141156.
 The Increasing Returns Revolution in Trade and Geography  Nobel Prize Lecture. Slides.
 Additional Material: Grossman, G. and E. Helpman (1994), Protection for Sale, American Economic Review, 84(4) Sep 1994, pp. 83350.
 Fernandez, R. and D. Rodrik (1991), Resistance to Reform: StatusQuo Bias in the Presence of Individual Specific Uncertainty, American Economic Review, 81(5), pp. 114655.
 Olson, M., The Logic of Collective Action, Harvard University Press, 1965.
Mathematics and Statistics for Economists (Paper 3). University of Cambridge
 Material available here (access details are given to my supervisees only)
 Frequently Asked Questions (updated 28/01)
 Supervision 1: Basic Calculus.
 Supervision 2: Constrained and Unconstrained Optimisation. Duality. A Note on Optimisation.
 Supervision 3: Basic Probability and Distributions. Selected Solutions.
 Supervision 4: Estimators, Hypothesis Testing, and Correlation.
 Supervision 5: Christmas Revision. Sketch Answers to the Questions. Readings on Hypothesis Testing. A Note on Sampling Distributions.
 Mock Exam I. Results.
 Supervision 6: Further Regression Analysis.
 Supervision 7: Linear Algebra & Applications. Graphs.
 Supervision 8: Time Series & Advanced Regression Models. Sketch Solution (Time Series).
 Supervision 9: Taylor Series Approximation, Difference and Differential Equations.
 Supervision 10: Empirical Project. Data. Project Requirements. Frequently Asked Questions.
 The Excel 2007 Data & Statistics Cookbook
 Excel For Statistical Data Analysis
 Exercises and Solutions
 Solution Sketches
 Mock Exam II.
 Supplementary Note on Jacobians, Hessians, IFT and Comparative Statics
National Student Academy (NSA)  Economics Section. Palanga
 Material available here (access details are given to the NSA students only)
 Winter Session 2012:
 Frequently Asked Questions
 Topic 1: Basic Economic Ideas. Answers
 Topic 2: The Price System and the Theory of the Firm. Answers
 Topic 3: Government Intervention in the Price System. Answers
 Grades for Tutorials 13
 Topic 4: Competition and Strategic Behaviour. Answers
 Topic 5: International Trade. Answers
 Topic 6: Game Theory with Applications. Supplementary Material. Answers
 Grades for Tutorials 46
 Supplementary Readings: Principles of a Free Society
2010/2011
Mathematics and Statistics for Economists (Paper 3). University of Cambridge
 Material available here (access details are given to my supervisees only)
 Supervision 1: Differentiation. Several graphs.
 Supervision 2: Sets, Probability and Distributions. Sketch of the answer to 5c. A note on the conditional expectations with several examples. Galileo problem.
 Supervision 3: Constrained and Unconstrained Optimisation. A note on duality. Several graphs.
 Supervision 4: Estimation, Hypothesis Testing, Correlation and Regression. A note on the hypothesis testing, a power of test, hypothesis relating to a regression coefficient, and one and twosided ttests.
 Holidays Revision. Sketch Answers.
 Supervision 5. Further Regression Analysis. Efficiency and unbiasedness.
 Supervision 6. Taylor Series Approximation, Difference and Differential Equations.
 Supervision 7. Time Series Analysis. Hints. Several graphs.
 Supervision 8. Matrix Algebra. Additional problems. Several graphs.
 Supervision 9. Presentation on Econometric Project. Violations of the Classical Assumptions. Data and Excel helpfiles.
 A Note on Sampling Distributions
International Trade Theory and Policy (Paper I). University of Cambridge
 Material available here (access details are given to my supervisees only)
 Supervision 1
 Supervision 2
 Additional Material on the 'Old' and 'New' Trade Theory
 Several Illustrations