Handouts, readings and further material will be provided before the beginning of the course and during the lectures. Cerulli G. (2012), An Assessment of the Econometric Methods for Program Evaluation and a Proposal to Extend the Difference-In-Differences estimator to dynamic treatment, in: Econometrics: New Developments, Nova Publishers, New York. modern econometric methods for program evaluation and causal inference. LaLonde, Robert (1986): "Evaluating the Econometric Evaluations of Training Programs with Experimental Data" in American Economic Review, 76, 604-620. Each individual session, is composed of both a theoretical component (in which the techniques and underlying principles behind them are Prerequisites - Pré requis : Econometrics of the linear model including instrumental variable methods and econometrics of discrete variables. Econometric Methods for Evaluation of Health Programs: Introduces students to the application of common econometric methods available to address questions of concern to policy makers, administrators, managers, and program participants regarding evaluation of health programs in low and middle-income countries. In the process, we delineate some of the directions along which this literature is expanding, discuss recent developments, and highlight specific . Ham and LaLonde (1996) analyze the e ects of the program. This 3-cerdit course is an introduction to the logic and methods of modern social program evaluation. Econometric Methods for Program Evaluation. Microeconometrics: Methods and Applications. Program evaluation methods are widely applied in economics to assess the effects of policy interventions and other treatments of interest. Econ. As such, the program has been developed to encompass both: standard statistical methods of program evaluation: regression-adjustment, matching, selection-models and difference-in-differences methodologies; and the more advanced econometric techniques: for example, instrumental variables, endogenous regression-adjustment and regression . Nonparametric econometrics: theory and practice: Princeton University Press. Program evaluation methods are widely applied in economics to assess the effects of policy interventions and other treatments of interest. This guide, written by Peter M. Lance, David K. Guilkey, Aiko Hattori and Gustavo Angeles for MEASURE Evaluation, outlines core statistical and econometric methods for program impact evaluation and includes a section on using the difference-in-difference model. Econometric Methods for Policy Evaluation Joan Llull UAB, MOVE, and Barcelona GSE . Literature Review of Econometric Methods for Program Evaluation. The specific objectives of this project are to: (1) Develop new methods for causal inference, with special emphasis on the estimation of causal mechanisms of a "treatment" (or government intervention) under the mildest statistical . the correct implementation of modern micro-econometric methods for implementing program evaluation using Stata. Abstract. Applications are discussed in class and replicated during the computer laboratory session using STATA. Rev. ECO7408 - Math Methods of Applied Economics. Program Evaluation I: Potential Outcomes and Selection; Program Evaluation II: Matching, Propensity Scores, and LATE Theorem; Program Evaluation III: Difference in Difference, Regression Discontinuity 2018.10:465-503. In this article, we describe the main methodological frameworks of the econometrics of program evaluation. His research focuses on the development and application of new econometric methods for program evaluation and causal inference to assess the effects of policies, programs, and interventions. In the process, we delineate some of the directions along which this literature is expanding, discuss recent . N2 - Program evaluation methods are widely applied in economics to assess the effects of policy interventions and other treatments of interest. Annual Review of Economics, 2018, vol. This book provides thorough introductions to the models and estimators implemented in teffects , etregress , and etpoisson and provides many examples using these commands and . www.annualreviews.org • Econometric Methods for Program Evaluation 467 Annu. Cambridge: Cambridge University Press. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. implementation of modern micro-econometric methods for implementing program evaluation using Stata. Dr. Flores' main fields are econometrics and labor economics. 3 Methods Based on Selection on Unobservables; 4 Local Average Treatment Effect and Regression-Discontinuity-Design. Each individual session, is composed of both a theoretical component (in which the techniques and underlying principles behind them are Delta Method and Bootstrap; Intro to Nonparametrics: kNN, kernels, etc. Econometric Methods of Program Evaluation Manuel Arellano Cursos de Economía Pública del Instituto de Estudios Fiscales Madrid, 14 December 2010 I. Self-evaluation on-line tests will be made available through the e-learning platform https://elearning-cds.unibo.it/ Lectures involve the presentation of theoretical and applied issues of the various econometric methods. In the process, we delineate some of the directions along which this literature is expanding . This effort is mainly devoted to measure the "causal effects" of an intervention on the part of an external authority (generally, a local or national government) on a set of . Goals / Objectives The overall objective of this project is the theoretical development and empirical application of econometric causal inference methods. Training Program and Unemployment Outcomes National Supported Work program (NSW) : . Structural and treatment e⁄ect approaches The classic approach to quantitative policy evaluation in economics is the structural approach. Program evaluation is a systematic method for collecting, analyzing, and using information to answer questions about projects, policies and programs, particularly about their effectiveness and efficiency. Bayesian Econometric Methods (Econometric Exercises)|Justin L UMBC's Master of Professional Studies (MPS) in Data Science program prepares students from a wide range of disciplinary backgrounds for careers in data science. Simulation methods, including the Economic Evaluation (also known as 'cost analysis', 'cost-effectiveness evaluation', 'cost-benefit analysis', and 'cost-utility analysis') Economic evaluation is used during the program's I have also taught standard microeconometric topics, including covariate adjustment, program evaluation and panel data. The student is expected to answer questions about all the domain areas of the Research and Evaluation Methodology program. In the core courses, students will get a fundamental Abstract: Program evaluation methods are widely applied in economics to assess the effects of policy interventions and other treatments of interest. AEB7571 - Econometric Methods I AEB7572 - Econometric Methods II AEB 6933 - Advanced Econometrics. For personal use only. In this article, we describe the main methodological frameworks of the econometrics of program . Structural and treatment effect approaches • The classic approach to quantitative policy evaluation in economics is the structural approach. Production and evaluation of empirical estimates of causal relationships to inform evidence-based policy decisions. Application of econometric methods for causal inference. A number of econometric methods (such as: Regression-adjustment, Matching, Reweighting, and the Doubly-robust estimator) are discussed, in order to ensure correct inference for casual parameters in this setting. Program Evaluation Course Syllabus CEU, Winter 2012 3 CEU credits (6 ECTS credits) Lecturer: Gabor Kezdi Room 412, Nador 11 kezdig@ceu.hu Short outline. Participants are expected to have attended the lecture 'Introductory Econometrics' at the Master level and to have knowledge of statistics and regression models at the level of e.g. The Alchemy of Program Evaluation, Part 9: Triangulation and Mixed Methods. Participants are expected to have attended an introductory Econometrics course at the Master level and to have knowledge of statistics and regression models at the level of e.g. Manski (1990). But research that can inform evidence-based policy often requires complex methods to distinguish causation from accidental . Guido Imbens & Jeffrey M. Wooldridge, 2008. modern econometric methods for program evaluation and causal inference. It is common practice for policymakers to perform ex post evaluation of the impact of economic and social programs via evidence-based statistical analysis. The geometrical approach to least squares is emphasized, as is the method of moments, which is used to motivate a wide variety of estimators and tests. 10, issue 1, 465-503 . Cerulli, G. (2012), An Assessment of the Econometric Methods for Program Evaluation and a Proposal to Extend the Difference-In-Differences estimator to dynamic treatment, in: Econometrics: New Developments, Nova Publishers, New York. Downloadable (with restrictions)! The objective of this course is to introduce the main econometric approaches used in the evaluation of public policies: randomized evaluations, natural experiments, the regression discontinuity design, selection on observables, difference-in-differences, and synthetic control methods. Courses typically emphasize both theory and practical computation. Model Selection and Validation / Intro to ML: Lasso, Ridge, PCA. As such, the program has been developed to focus on both: i) the traditional . Structural and treatment effect approaches • The classic approach to quantitative policy evaluation in economics is the structural approach. In this article, we describe the main methodological frameworks of the econometrics of program evaluation. Stock and Watson (2012) or Wooldridge (2013). Abstract: This manual provides an overview of core statistical and econometric methods for program impact evaluation (and, more generally, causal modelling).More detailed and advanced than typical brief reviews of the subject, it also strives to be more approachable to a wider range of readers than the advanced theoretical literature on program impact evaluation estimators. Impact Evaluation in Practice: This book from the Each individual session, is composed of both a theoretical component (in which the techniques and underlying principles behind First, there are issues related to the theory and structure of the program, the program's rationale and possible alternatives. Download Citation | Econometric Methods for Causal Evaluation of Education Policies and Practices: A Non-Technical Guide | Education policy-makers and practitioners want to know which policies and . Many of the advances are framed within a program evaluation approach, which relies on simpler, reduced form econometric techniques, with a heavy dependence on OLS (Abadie and Cattaneo, 2018 . Li, Q. and Racine, J. S. (2007). 7."Introduction", with Juan C. Escanciano. Motivated primarilyby applications to the evaluation of labor market programs in observational settings, the focus in the econometric literature is traditionallyon endogeneity, or self-selection, issues. Econometric Methods of Program Evaluation Manuel Arellano CEMFI February 2015. Resources Guides How Do We Know if a Program Made a Difference? Program evaluation methods are widely applied in economics to assess the effects of policy interventions and other treatments of interest. Program Day 1 Session I: Introduction to the econometrics of program evaluation TStat's summer programs are characterized by their theoretical and applied structure. Welcome to the final installment in our nine-part blog series on Summit's program evaluation experience. Simulation methods, including the There has recently been a rapid expansion of interest in the econometrics of program evaluation, both within Australia and around the world. modern micro-econometric methods for implementing program evaluation using Stata. Introduction. More detailed and advanced than typical brief reviews of the subject, it also strives to be more approachable to a wider range of readers than the advanced theoretical literature on program impact . Emphasizing the "how-to"—the set of conceptual and active tasks . Advanced studies in theoretical and applied econometrics, 1570-5811 ; v. 49 Summary note This book provides advanced theoretical and applied tools for the implementation of modern micro-econometric techniques in evidence-based program evaluation for the social sciences. Motivated primarilyby applications to the evaluation of labor market programs in observational settings, the focus in the econometric literature is traditionallyon endogeneity, or self-selection, issues. Downloaded from www.annualreviews.org Access provided by Massachusetts Institute of Technology (MIT) on 03/19/19. Regression Discontinuity Designs: Theory and Applications, Advances in Econometrics, volume 38, This contrasts with earlier econometric approaches that . According to Abadie & Cattaneo (2018), evaluation is a systematic inquiry answering procedure that works well. Introduction. Econometrics of Program Evaluation Geert Ridder John Strauss KAP 310A KAP 318A ridder@usc.edu jstrauss@usc.edu 740-3511 740-7698 Office hours: Thu 11-12 Mo 11-1 This course is designed to provide econometric theory and applications on the subject of I. As such, the course has been developed to focus on i) the traditional statistical methods to program evaluation: control-function regression, matching on observables, and difference-in-differences methodologies, which are widely employed in quantitative evidence-driven evaluation; and ii) the more advanced econometric techniques: selection . The course's program is characterized by theoretical and applied structure. Li, Q. and Racine, J. S. (2007). vii From the point of view of evaluation methods, two groups of evaluation issues can be usefully distinguished. systematic account of the meaning and scope of such an assumption in program evaluation analysis. A central feature of recent developments is the attempt to allow for program impacts that vary across individuals. to encompass both: standard statistical methods of program evaluation: regression- adjustment, matching, selection-models and difference-in-differences methodologies; and the more advanced econometric techniques: for example, instrumental variables, This paper presents an overview of several widely-used methods in program impact evaluation. The geometrical approach to least squares is emphasized, as is the method of moments, which is used to motivate a wide variety of estimators and tests. In both the public and private sectors, stakeholders often want to know whether the programs they are funding, implementing, voting for, receiving or objecting to are producing the intended .