grantmcdermott

set.seed(1234)

# Create the base dataset as a cross-join of 1,000 firms over 30 periods
baker = expand.grid(n = 1:30, id = 1:1000)

# Add additional columns
baker = 
  baker |>
  within({
    year       = n + 1980 - 1

grantmcdermott

## Context: https://twitter.com/grant_mcdermott/status/1493400952878952448

options(collapse_mask = "all") # NB: see `help('collapse-options')`

library(dplyr)
library(data.table)
library(collapse) # Needs to come after library(dplyr) for collapse_mask to work

flights = fread('https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv')

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---
title: "Intermediate Microeconomics (EC 311)"
subtitle: "Syllabus"
author: "Grant McDermott"
date: "Department of Economics, University of Oregon"
format:
  pdf: 
    pdf-engine: pdflatex
    documentclass: article
    toc: false

grantmcdermott

# Context: https://twitter.com/grant_mcdermott/status/1487528757418102787

library(data.table)
library(fixest)

bboot =
  function(object, reps = 100L, cluster = NULL, ...) {
    
    fixest_obj = inherits(object, c('fixest', 'fixest_multi'))
    

grantmcdermott

## Examples, borrowing from the intro vignette

library(fixest)
library(ggplot2)

## Source the function
source('https://gist.githubusercontent.com/grantmcdermott/db8501b0281813792bf78393fef98481/raw/ggiplot.R')

## Vanilla TWFE
est_did = feols(y ~ x1 + i(period, treat, 5) | id + period, base_did)

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# Libraries ---------------------------------------------------------------

library(tidysynth)
library(haven)


# Data --------------------------------------------------------------------

texas = read_dta('https://raw.github.com/scunning1975/mixtape/master/texas.dta')

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library(ivreg)

## Convenience functions
rmse = function(y, yhat) sqrt(mean((y - yhat)^2))
mae = function(y, yhat) mean(abs(y - yhat))

## Function for single simulation
dm_sim = function(...) {
  ## Params
  b0 = 1; b1 = 1; rhoXZ = 0.5; rho1 = 0.25

grantmcdermott

## Context: https://twitter.com/grant_mcdermott/status/1293673082352099328

library(broom) ## remotes::install_github('tidymodels/broom')
library(ggplot2)

## gen fake data
set.seed(123)
x = sort(runif(100, min = 0, max = 5))
y = x^2 + rnorm(100)
dat = data.frame(x, y)

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#' Compare expected returns of 15- vs 30-year home refi.
#'
#' This very simple function assumes you split your disposable income between
#' mortgage repayments and stock investments. The goal is to compare ROI at the end
#' of 30 years, assuming you initially have a choice between 15- and 30-year fixed rate 
#' mortgage. 
#' 
#' @details Under the 15-year scenario, we assume that you pay the monthly premium 
#' until the loan is fully repaid (i.e. after 15 years) and then immediately switch 
#' over to investing the exact same amount for another 15 years. Under the 30-year 

grantmcdermott

## Context: https://twitter.com/grant_mcdermott/status/1272747522562244608

## Note: To get the most out of this function (private repos, etc.), I recommend
## adding a GitHub Personal Access Token to your .Renviron file. The easiest way
## to do this is with the {usethis} package. See here: 
## https://happygitwithr.com/github-pat.html#step-by-step

library(gh)
library(purrr)
library(data.table)