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Policy Modeling 2022

#### ▒ Exam #### Week 1: Introduction (04/8)

1. H&H (2019) Chapter 1. 2. Weimer & Vining (2017) Chapter 2. Optional

1. Albright & Winston (2005) Chapter 1, 2.
2. Weimer & Vining (2017) Chapter 14, 15 or Dunn (2017) Chapter 1, 2.
3. Boardman, Greenberg, Vining, and Weimer (2018) Chapter 1.
4. Krutilla, Kerry. 2005. Using the Kaldor-Hicks tableau format for cost-benefit analysis and policy evaluation. Journal of Policy Analysis and Management 24(4): 864-875. #### Week 2: Policy Modeling (04/15)

1. Introduction to policy modeling  #### Week 3: Basics of Linear Programming (04/22)

1. H&H (2019) Chapter 2. 2. Lecture Note Slide LP Illustration Purchasing Fruits Options

1. Albright & Winston (2005) Chapter 3.
2. Stevenson and Ozgur (2007) Chapter 3.

Lab: Using Excel Solver 1

1. Wyndor Glass 2. H&H (2019) chapter 4.
3. Linear programming part 1: Optimization problem and constraints (11 min) 4. Linear programming part 2: Feasible sets and objective function (11 min) 5. LP Graphical Method by Kauserwise (21 min) 6. Linear Programming 1: Maximization-Extreme/corner points (6 min) 7. Excel Solver 2007 2010 (1) 2010 (2) 8. How to use the SUMPRODUCT function in Excel (6 min)  #### Week 4: Formulating Linear Programming (04/29)

1. LP example problems LP examples 2. H&H (2019) Chapter 5 (5.1 and 5.2). 3. Lecture Note Slide Product Mix Example 4. Simplex Method Illustration Lab: Using Excel Solver 2

1. Enabling Excel Solver: Office 2010 | Office 2016 Office 2016 Excel for Mac 2. Excel Solver Example 1 | Example 2 | Excel Sumproduct 3. Profit & Gambit Super Grain  #### Week 5: Sensitivity Analysis (05/6)

1. : H&H (2019) Chapter 5 (5.3 and 5.5). 2. Lecture Note Slide Options

1. Albright & Winston (2005) Chapter 4.
2. Stevenson and Ozgur (2007) Chapter 4.
3. Sensitivity Analysis (MIT) Sensitivity Analysis (UC San Diego) 4. Shadow price, binding/non-binding constraints (7 min) 5. Introduction to shadow price (15 min) Shadow price (7 min) 6. Sensitivity analysis in linear programming (9 min) 7. Linear programming sensitivity analysis totals of constraints (12 min)  #### Week 6: Linear Programming Applications (05/13)

1. H&H (2019) Chapter 3. 2. Slide Degeneracy LP examples Optional

1. How to solve an assignment problem (7 min) 2. Assignment problem: integer linear programming (7 min) 3. Assignment model with Excel Solver (6 min) 4. Transportation problem class lecture 1 (44 min) 5. Transportation problem class lecture 2 (52 min) 6. How to model a linear programming transportation problem (15 min)  #### Week 7: Queueing Model I (05/20)

1. H&H (2019) Chapter 11 (11.1-11.3). 2. Queueing model Poisson Probability Distribution Options

1. Albright & Winston (2005) Chapter 11.
2. MIT OpenCourseWare (Poisson Process) 1 2 3. Queueing Theory  #### Week 8: Queueing Model II (05/27)

1. H&H (2019) Chapter 11 (11.4-11.9). 2. Queueing Model Template Options

1. Hillier & Lieberman (2014) chapter 17.
2. Stevenson and Ozgur (2007) Chapter 13.
3. SAS Simulation Studio (SAS/OR)
4. Queueing Theory by Ivo Adan and Jacques Resing (2002) Final exam (June 16 in week 11) 