Microeconometrics

ECON60052 Microeconometrics 15 Semester 2 Postgraduate Taught Level 6 Giorgio Maarraoui Unit coordinator Economics 1 FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' European Credit Transfer & Accumulation System Rating : 7.5 The aims of this course unit are to:(i) introduce students to modelling and estimation techniques in the analysis of microeconometric data;(ii) develop an understanding on how and when to use the different techniques(iii) provide sufficient background to enable students to read the applied literature which applies these techniques;(iv) prepare students for a dissertation topic that analyses microeconometric data.  The aims of this course unit are to:(i) introduce students to modelling and estimation techniques in the analysis of microeconometric data;(ii) develop an understanding on how and when to use the different techniques(iii) provide sufficient background to enable students to read the applied literature which applies these techniques;(iv) prepare students for a dissertation topic that analyses microeconometric data. The aims of this course unit are to:(i) introduce students to modelling and estimation techniques in the analysis of microeconometric data;(ii) develop an understanding on how and when to use the different techniques(iii) provide sufficient background to enable students to read the applied literature which applies these techniques;(iv) prepare students for a dissertation topic that analyses microeconometric data.  <div>On completion of this unit successful students will be able to:(i) demonstrate an understanding of some of the problems associated with microeconometric data such as endogenous regressors, selection bias and causal effects;(ii) understand and apply some standard techniques to address these problems, such as instrumental variable estimation, randomized experiments, using panel data, using Differences-in-Differences approaches or using Regression Discontinuity Designs;(iv) apply these techniques using the computer software R;(v) interpret R output correctly.</div>  Provisional1) Regression(2) Standard Errors(3) Instrumental Variables(4) Randomized Experiments(5) Panel Data Methods(6) Differences-in-Differences(7) Regression Discontinuity Designs) Lectures and tutorials 0 Other 25% 1 Written exam 75% 75% Final Exam25% Group MIdterm Assessment ECON61001 Econometric Methods Pre-Requisite Compulsory ECON61001 is a pre-requisite for ECON60052Pre requisite ECON61001 Y There is no one course text. Material will be delivered primarily though the lecture unless specified otherwise. The main texts are: -Wooldridge, J.M. (2020): Introductory Econometrics: A Modern Approach, 7th ed., Cengage. -Angrist, J. D. and J.- S. Pischke (2009). Mostly Harmless Econometrics, Princeton University Press. For some parts, the course also follows: -Wooldridge, J.M. (2010): Econometric Analysis of Cross Section and Panel Data, Second Edition. MIT Press. -Duflo, E., Glennester, R. and M. Kremer (2007): Chapter 61 Using Randomization in Development Economics research: A Toolkit, Elsevier, vol. 4 of Handbook of Development Economics, 3895 – 3962. -Fröhlich, M. and S. Sperlich (2019): Impact Evaluation: Treatment Effects and Causal Analysis. Cambridge University Press. Students may note that the following cover the same or related topics. -Cameron, C. and P. Trivedi (2012): Microeconometrics: Methods and Applications, Cambridge University Press. -Verbeek, M. (2012): A Guide to Modern Econometrics, 4th edition, Wiley. -Angrist, J.D. and J.-S. Pischke (2014):  Mastering metrics: The path from cause to effect. Princeton, New Jersey: Princeton University Press.The specific references relevant for each topic are given in the lectures  Lectures 18 Tutorials 7 0 125