MPP2021-525

Đánh giá chính sách

Edmund Malesky, Lê Việt Phú
Ngày: 18/06/2020 16:28; Kích thước: 258,945 bytes
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Ngày tháng
Thời gian
Nội dung hoạt động
Thứ 5, 25/06/2020
08:30 - 11:45

Part 1: Fundamentals of Policy Evaluation and Randomized Controlled Trials [Edmund Malesky]

What is Policy Evaluation, Causal Inference, and Randomized Controlled Trials (RCTs)

Importance of evaluation and the difference from monitoring, counterfactuals and the potential outcomes framework

  • EGAP, "10 Strategies for Figuring Out if X Caused Y"
  • EGAP, "10 Things You Need to Know about Causal Inference"
  • Angrist and Pischke, Introduction.
  • KKS, pp 3-20.

Basics of field experiments and exploration of different designs

  • KKS, pp. 33-38.
  • EGAP, "10 Types of Treatment Effects You Should Know About".
  • EGAP, "10 Things to Know about External Validity".
  • First Problem Set Released.
Joshua D. Angrist, Jörn-Steffen Pischke
Ngày: 18/06/2020 17:11; Kích thước: 116,978 bytes
Shahidur R. Khandker, Gayatri B. Koolwal, Hussain A. Samad
Ngày: 18/06/2020 17:12; Kích thước: 2,508,232 bytes
Joshua D. Angrist, Jörn-Steffen Pischke
Ngày: 18/06/2020 17:10; Kích thước: 116,978 bytes
Shahidur R. Khandker, Gayatri B. Koolwal, Hussain A. Samad
Ngày: 18/06/2020 17:11; Kích thước: 2,508,232 bytes
Joshua D. Angrist, Jörn-Steffen Pischke
Ngày: 18/06/2020 17:08; Kích thước: 116,978 bytes
Shahidur R. Khandker, Gayatri B. Koolwal, Hussain A. Samad
Ngày: 18/06/2020 17:00; Kích thước: 2,508,232 bytes
Shahidur R. Khandker, Gayatri B. Koolwal, Hussain A. Samad
Ngày: 18/06/2020 16:59; Kích thước: 2,508,232 bytes
Joshua D. Angrist, Jörn-Steffen Pischke
Ngày: 18/06/2020 16:56; Kích thước: 116,978 bytes
Shahidur R. Khandker, Gayatri B. Koolwal, Hussain A. Samad
Ngày: 18/06/2020 16:56; Kích thước: 2,508,232 bytes
Howard White, David A. Raitzer
Ngày: 18/06/2020 16:55; Kích thước: 4,269,545 bytes
Peter Craig, Srinivasa Vittal Katikireddi, Alastair Leyland, and Frank Popham
Ngày: 18/06/2020 16:53; Kích thước: 381,459 bytes
Alejandro Ganiminan
Ngày: 18/06/2020 16:51; Kích thước: 86,696 bytes
David Mckenzie
Ngày: 18/06/2020 16:50; Kích thước: 168,993 bytes
Shahidur R. Khandker, Gayatri B. Koolwal, Hussain A. Samad
Ngày: 18/06/2020 16:49; Kích thước: 2,508,232 bytes
Abhijit Banerjee, Jordan Kyle Cohen, Rema Hanna, Benjamin Olken, Sudarno Sumarto
Ngày: 18/06/2020 16:49; Kích thước: 505,109 bytes
Alexander Coppock
Ngày: 18/06/2020 16:46; Kích thước: 795,361 bytes
Joshua D. Angrist, Jörn-Steffen Pischke
Ngày: 18/06/2020 16:45; Kích thước: 116,978 bytes
Shahidur R. Khandker, Gayatri B. Koolwal, Hussain A. Samad
Ngày: 18/06/2020 16:44; Kích thước: 2,508,232 bytes
Shahidur R. Khandker, Gayatri B. Koolwal, Hussain A. Samad
Ngày: 18/06/2020 16:42; Kích thước: 2,508,232 bytes
Shahidur R. Khandker, Gayatri B. Koolwal, Hussain A. Samad
Ngày: 18/06/2020 16:41; Kích thước: 2,508,232 bytes
Joshua D. Angrist, Jörn-Steffen Pischke
Ngày: 18/06/2020 16:40; Kích thước: 116,978 bytes
Lê Việt Phú
Ngày: 30/07/2020 11:38; Kích thước: 552,085 bytes
Lê Việt Phú
Ngày: 30/07/2020 11:37; Kích thước: 490,415 bytes
Edmund Malesky
Ngày: 14/07/2020 14:24; Kích thước: 2,605,367 bytes
Edmund Malesky
Ngày: 14/07/2020 14:23; Kích thước: 803,104 bytes
Edmund Malesky
Ngày: 14/07/2020 14:21; Kích thước: 1,688,099 bytes
Edmund Malesky
Ngày: 14/07/2020 14:20; Kích thước: 2,821,988 bytes
Edmund Malesky
Ngày: 14/07/2020 14:19; Kích thước: 1,737,958 bytes
Edmund Malesky
Ngày: 14/07/2020 14:19; Kích thước: 1,218,333 bytes

This course offers a first systematic approach to policy evaluation from a perspective of a practitioner. It provides rationale why evaluation may be used to inform and improve policy development, adoption, implementation, and effectiveness, and builds the evidence for policy interventions. We begin with experimental approaches, the gold standard in program evaluation.

The main purpose of randomized evaluations is to determine whether a program has an impact, and more specifically, to quantify how large that impact is. Impact evaluations measure program effectiveness typically by comparing outcomes of those who received the program against those who did not. We will learn basic sets of skills for designing and evaluating policy interventions, and then practice them immediately. The first lecture will be devoted to the goals and organization of program design before beginning our discussion of the experimental ideal. Each subsequent class will delve into particular research tools used in evaluation for attempting to recover the experimental ideal (randomized control trials, survey experiments, regression discontinuity design, matching estimators, and difference-in-differences). Within each lecture, we will discuss the underlying assumptions, power estimations, and diagnostics for determining whether the tool is appropriate for the particular research question.

The course will take the organizational structure of a workshop. Understanding the challenges of teaching econometrics without formulas, we have selected a nuanced approach which offers a harmonic, narrative based, combination of theory, in-class discussions, and computer applications. The course assessment is based on identifying a critical policy question that students are interested in and then designing the ideal evaluation for it. The final project will a Pre-Analysis Plan, a specialized research design that lays out the specific for how a new policy will be evaluated.