Mathematical Economic Modelling for Aspiring PhD Students
These are the notes for a crash course on mathematical economic modelling for students wanting to go on to PhD's in economics. My intention is to help these students "keep things clear" in their heads during their first year in graduate school and then hope it's a resources for them later in their program or even later when they are professors.
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The page and approach reflects my bias as a macroeconomist. I get to dynamic models pretty quickly, for example. But the heart of my approach is keeping the basic approach simple.
MAIN COURSE
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Readings, Books, Sites, etc.​
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Monacelli's "Macroeconomics and Economic Policy: Lecture Notes" download
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​LSE "Advanced Macroeconomics Easy Guide" Book download
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Eric Sims's Ph.D. Classes at Notre Dame
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SPRING 2025 Materials
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Endowment and Savings
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2-Period version: my notes​​
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Monacelli text pp. 56-73.
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Infinite Horizon: my notes​
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Two ways to handle savings/bonds: Eric Sims's notes on Consumption Savings
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Continuous Time and Open Economies: Carlos Vegh's Chapter 1
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Capital and Production: Neoclassical Growth Model
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2-Period version: my notes​​
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Infinite Horizon: my notes​
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Lagrange to Bellman
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Eric Sims's notes on NeoClassical Growth
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Dynamic Models: Phase Diagrams
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Broader, Future, Outline
Introduction​
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How modern economists model the world
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The basic process/path: optimization subject to budget constraints
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Static Optimization: Unconstrained​​
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Marginal Benefit = Marginal Cost
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Firms maximizing profit
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Utility maximization
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DONWLOAD
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Static Optimization: Constrained​
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Generally microeconomic problems
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Firms maximizing profit as cost minimization
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Utility maximization
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DONWLOAD
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Static Optimization Examples and Complications
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Some common problems for practice
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A common complication: Handling Uncertainty
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DONWLOAD
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Dynamic (Discrete-time) Optimization: 2-Period Problems​
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Generally these are macroeconomic problems.
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Lagrangians and utility maximization subject to budget constraints
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The Euler equation
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DONWLOAD:
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Dynamic (Discrete-time) Optimization: Longer-Horizon Problems​
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Generally these are macroeconomic problems.
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Lagrangians and utility maximization subject to budget constraints
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Getting more from FOCS: Equations of Motion
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DONWLOAD
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Discrete-time Dynamic Examples and Complications
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Ramsey-Cass-Koopmans Growth
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Open Economies
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DONWLOAD
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Dynamic (Continuous-time) Optimization
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Generally these are macroeconomic problems.
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Lagrangians and Hamiltonians
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DONWLOAD
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Continuous-time Dynamic Examples and Complications
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Ramsey-Cass-Koopmans Growth
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Open Economies
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DONWLOAD
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APPENDICES
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Creating Utility Functions​
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Preferences and basic rationality assumptions
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Commonly Used Functions​
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Common utility functions
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Arrow-Pratt risk aversion​
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Common production functions
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DONWLOAD
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Optimality Conditions and Larger Problems​
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Hessians and Bordered Hessians (download)
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Squeezing More from Static Problems​
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Slutsky
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Marginal Rates of Transformation
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Indirect Utility, Expenditure Functions
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Hicksian Compensated Demand
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DONWLOAD
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Handling Corner Solutions
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Khun-Tucker conditions
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DONWLOAD
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Alternative Optimization Method
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Optimizing with Separating Hyperplanes
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DONWLOAD
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Time Series: Basics​
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Time series, AR(1), etc. (download)
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Time Series: Solving Difference Equations​
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Iteration (download)
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Method of Undetermined Coefficients (dowload)
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Integration​
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Solving Differential Equations​
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Forcing the solution (download)
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Method of Undetermined Coefficients (download)​
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Dynamic Optimization
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Optimal Control Lagrangians, Hamiltonians and All That (download)
Stochastic Calculus
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Basics and Introduction (download)
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John Cochrane's page for Asset Pricing. He covers Stochastic Calculus at the beginning of his course and you can find both videos and PDF notes. I highly recommend the videos and the notes. They really are the best Stochastic Calculus notes I've found. It's from these that I finally understood the stochastic integral only in 2020!! and it's super simple!
Continuous Time Stochastic Optimization
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Stochastic Optimal Control Basics (download)
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Stochastic Optimal Control Solutions (download)
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Stochastic Optimal Control with Poisson and General Ito (download)
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More complicated material (currently copies from Turnovsky, 2000)
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MATH
Gilbert Strang's Highlights of Calculus
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Prof Gilbert Strang's short collection of videos and why he made these (click here)
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MIT Courseware: click here
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Prof Strang's Free Calculus textbook (download here).
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Gilbert Strang and Dr. Cleve Moler (MATLAB) "​Learn Differential Equations: Up Close" (click here), MIT OpenCourseware, 2015
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Prof Gilbert Strang's 2008 MIT Courseware Course MIT 18.085 Computational Science and Engineering: click here​