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# preliminaries -----

# packages you'll need (install these if you don't have them)
# install.packages(c("arrow", "duckdb", "dplyr", "tidyr"))

# write a dummy parquet dataset (i.e., multiple parquet files) to disk
dir.create("airquality")
arrow::write_dataset(
  airquality, 
  path = "airquality",

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# Context: https://mastodon.social/@gmcd/109895547902826763

library(ggh4x)

theme_set(
  theme_bw() +
    theme(
      axis.line = element_line(linewidth = 0.4),
      axis.ticks = element_line(linewidth = 0.4),
      panel.grid.minor = element_blank(),

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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

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## 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

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# 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'))
    

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## 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

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## 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)