pharringtonp19/mecon

Microeconomics

mecon

An intermediate level microeconomics course

mecon's Issues

Papers

HOMELESS IN AMERICA, HOMELESS IN CALIFORNIA

SIF

• Add scatter plot to show the time & policy difference

Slides

• Control space between bullet points

Dex

Try this in dex

def budget_constraint(m, p, h):
  return m - p*h

def sample_params(key):
  subkey1, subkey2 = jax.random.split(key)
  m = jax.random.uniform(subkey1, minval=30., maxval=100.)
  p = jax.random.uniform(subkey2, minval=10., maxval=50.)
  return m, p 

def sample_constraints(key):
  m, p = sample_params(key)
  return partial(budget_constraint)

jax.vmap(sample_constraints)(jax.random.split(jax.random.PRNGKey(0), 3))

Constraints

• center the mermaid figures
• finish the more general model
• Can I vectorize the second model?
  • Should write this as a parameterized decorator
• use the jaxopt language for the constraint function
• introduce/mention the quotient space when describing the constraint function
• Add EV market cap example
  • Consider the justification for this new legislation: here

Jaxopt

• Solve the lemons model with projected gradients

Topics To Explore

• Hospital Pricing

Reduced Form

link

Jax

• How to "conceptualize" a callable-pytree

To Do

• Add implicit function & differentiation notes
• Add example of returns to scale
• Finish Root solving example
• Counter example to composing with a non-monotonic function

Probability Theory

• Define conditional density

Probability Theory

• oryx implementations
• Bayesian Probability Space

Annotations

• Add the ability to annotate like hypothesis

Topics

• Industrial Policy : See Plain English Podcast

RTC Notebook

Notebook

• Register dataclasses as pytrees
• enable Optional[float] for renter type

Examples

• In what sense should cases that don't get settled in court be considered a market failure? (From Plunder by Brendan Ballou)

Optimization

• Clarify the motivation (better examples?)
• Clarify the space of the gradient
• Single function for approximations (using scan!)
• Illustrate how gradient descent relates to newton's method
• replace scan with while loop?
• Add simulations
• Add objective function for newton's method
• add sympy2jax gradient descent example