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826 lines (682 loc) · 29.3 KB
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#!/usr/bin/env python3
"""Generate LinkedIn carousel PDF for Wooldridge ETWFE estimator announcement."""
import os
import tempfile
from pathlib import Path
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt # noqa: E402
import numpy as np # noqa: E402
from PIL import Image as PILImage # noqa: E402
from fpdf import FPDF # noqa: E402
# Computer Modern for math
plt.rcParams["mathtext.fontset"] = "cm"
# Page dimensions (4:5 portrait)
WIDTH = 270 # mm
HEIGHT = 337.5 # mm
# Colors - Light theme with emerald accent
EMERALD = (16, 185, 129) # #10b981 — primary accent
NAVY = (15, 23, 42) # #0f172a — primary text
MID_BLUE = (59, 130, 246) # #3b82f6 — logo dash, pip badge bg
WHITE = (255, 255, 255) # #ffffff
RED = (220, 38, 38) # #dc2626 — problem accent (slide 2)
GRAY = (100, 116, 139) # #64748b — secondary text
LIGHT_GRAY = (148, 163, 184) # #94a3b8 — fine print
EMERALD_TINT = (236, 253, 245) # #ecfdf5 — callout box bg
DARK_SLATE = (30, 41, 59) # #1e293b — code block bg
GREEN_CODE = (80, 250, 123) # #50fa7b — code string literals
# Hex colors for matplotlib
NAVY_HEX = "#0f172a"
EMERALD_HEX = "#10b981"
EMERALD_LIGHT_HEX = "#6ee7b7"
RED_HEX = "#dc2626"
GRAY_HEX = "#64748b"
class WooldridgeCarouselPDF(FPDF):
def __init__(self):
super().__init__(orientation="P", unit="mm", format=(WIDTH, HEIGHT))
self.set_auto_page_break(False)
self._temp_files = []
def cleanup(self):
"""Remove temporary image files."""
for f in self._temp_files:
try:
os.unlink(f)
except OSError:
pass
# ── Background & Footer ──────────────��─────────────────────────
def light_gradient_background(self):
"""Draw light gradient background (top #e1f0ff fading to white)."""
steps = 50
for i in range(steps):
ratio = i / steps
r = int(225 + (255 - 225) * ratio)
g = int(240 + (255 - 240) * ratio)
b = 255
self.set_fill_color(r, g, b)
y = i * HEIGHT / steps
self.rect(0, y, WIDTH, HEIGHT / steps + 1, "F")
def add_footer(self):
"""Add footer with emerald rule and version text."""
rule_y = HEIGHT - 28
self.set_draw_color(*EMERALD)
self.set_line_width(0.5)
self.line(50, rule_y, WIDTH - 50, rule_y)
self.set_font("Helvetica", "B", 12)
dd_text = "diff-diff "
v_text = "v2.9"
dd_w = self.get_string_width(dd_text)
v_w = self.get_string_width(v_text)
start_x = (WIDTH - dd_w - v_w) / 2
self.set_xy(start_x, HEIGHT - 22)
self.set_text_color(*GRAY)
self.cell(dd_w, 10, dd_text)
self.set_text_color(*EMERALD)
self.cell(v_w, 10, v_text)
# ── Text Helpers ───────────────────────────────────────────────
def centered_text(self, y, text, size=28, bold=True, color=NAVY,
italic=False):
"""Add centered text."""
self.set_xy(0, y)
style = ""
if bold:
style += "B"
if italic:
style += "I"
self.set_font("Helvetica", style, size)
self.set_text_color(*color)
self.cell(WIDTH, size * 0.5, text, align="C")
def draw_split_logo(self, y, size=18):
"""Draw the split-color diff-diff logo."""
self.set_xy(0, y)
self.set_font("Helvetica", "B", size)
self.set_text_color(*NAVY)
self.cell(WIDTH / 2 - 5, 10, "diff", align="R")
self.set_text_color(*MID_BLUE)
self.cell(10, 10, "-", align="C")
self.set_text_color(*NAVY)
self.cell(WIDTH / 2 - 5, 10, "diff", align="L")
# ── Equation Rendering ────���────────────────────────────────────
def _render_equations(self, latex_lines, fontsize=26, color=NAVY_HEX):
"""Render LaTeX equations to transparent PNG."""
n = len(latex_lines)
fig_h = max(0.7, 0.55 * n + 0.15)
fig = plt.figure(figsize=(10, fig_h))
for i, line in enumerate(latex_lines):
y_frac = 1.0 - (2 * i + 1) / (2 * n)
fig.text(
0.5, y_frac, line,
fontsize=fontsize, ha="center", va="center",
color=color,
)
fig.patch.set_alpha(0)
fd, path = tempfile.mkstemp(suffix=".png")
os.close(fd)
fig.savefig(path, dpi=250, bbox_inches="tight", pad_inches=0.06,
transparent=True)
plt.close(fig)
with PILImage.open(path) as img:
pw, ph = img.size
self._temp_files.append(path)
return path, pw, ph
def _place_equation_centered(self, path, pw, ph, y, max_w=200):
"""Place equation image centered on page at given y."""
aspect = ph / pw
display_w = min(max_w, WIDTH * 0.75)
display_h = display_w * aspect
eq_x = (WIDTH - display_w) / 2
self.image(path, eq_x, y, display_w)
return display_h
# ── Event Study Plot ─────────��─────────────────────────────────
def _render_event_study_plot(self):
"""Render synthetic event study plot for Slide 6.
Uses hardcoded ATT values (no runtime library dependency).
"""
ks = np.arange(-5, 7)
# Pre-treatment: near zero (parallel trends hold)
atts_pre = [0.05, -0.12, 0.08, -0.03, 0.10]
# Post-treatment: stable ~2.0 effect
atts_post = [1.95, 2.05, 2.10, 2.00, 2.15, 1.90, 2.05]
atts = np.array(atts_pre + atts_post)
ses = np.array([0.25, 0.22, 0.20, 0.18, 0.20,
0.22, 0.20, 0.22, 0.24, 0.25, 0.28, 0.30])
ci_lower = atts - 1.96 * ses
ci_upper = atts + 1.96 * ses
fig, ax = plt.subplots(figsize=(9, 5))
fig.patch.set_facecolor("white")
ax.set_facecolor("white")
# CI band
ax.fill_between(ks, ci_lower, ci_upper,
color=EMERALD_LIGHT_HEX, alpha=0.3)
# ATT line + dots
ax.plot(ks, atts, "o-", color=EMERALD_HEX, linewidth=2.5,
markersize=7, zorder=5)
# Reference lines
ax.axhline(0, color="black", linestyle="--", linewidth=0.8)
ax.axvline(-0.5, color=RED_HEX, linestyle=":", linewidth=1.5,
label="Treatment onset")
ax.set_xlabel("Relative period (k = t \u2212 g)", fontsize=13,
color=NAVY_HEX)
ax.set_ylabel("ATT", fontsize=13, color=NAVY_HEX)
ax.set_title("ETWFE Event Study", fontsize=16, fontweight="bold",
color=NAVY_HEX)
ax.tick_params(colors=NAVY_HEX)
for spine in ax.spines.values():
spine.set_color(GRAY_HEX)
ax.legend(loc="upper left", fontsize=11)
fig.tight_layout()
fd, path = tempfile.mkstemp(suffix=".png")
os.close(fd)
fig.savefig(path, dpi=200, bbox_inches="tight", pad_inches=0.1,
facecolor="white")
plt.close(fig)
with PILImage.open(path) as img:
pw, ph = img.size
self._temp_files.append(path)
return path, pw, ph
# ── Code Block ��─────────────────────────────────────��──────────
def _add_code_block(self, x, y, w, token_lines, font_size=13,
line_height=12):
"""Render syntax-highlighted code on a dark panel."""
n_lines = len(token_lines)
total_h = n_lines * line_height + 24
self.set_fill_color(*DARK_SLATE)
self.rect(x, y, w, total_h, "F")
self.set_font("Courier", "", font_size)
char_w = self.get_string_width("M")
pad_x = 15
pad_y = 12
for i, tokens in enumerate(token_lines):
cx = x + pad_x
cy = y + pad_y + i * line_height
for text, color in tokens:
if not text:
continue
self.set_xy(cx, cy)
self.set_text_color(*color)
self.cell(char_w * len(text), 10, text)
cx += char_w * len(text)
return total_h
# ════════════��══════════════════════════════��════════════════════
# SLIDES
# ══════════════════════════════��═════════════════════════════��═══
def slide_01_hook(self):
"""Slide 1: Hook — When Linear DiD Isn't Enough.
Claims & sources:
- "diff-diff v2.9": version confirmed in pyproject.toml
- "When Linear DiD Isn't Enough": Wooldridge (2023) Section 1
motivates nonlinear alternatives as robustness checks for
settings where parallel trends on the level scale is implausible
- Teaser items: confirmed in wooldridge.py and wooldridge_results.py
"""
self.add_page()
self.light_gradient_background()
self.draw_split_logo(55, size=60)
self.centered_text(120, "v2.9", size=50, color=EMERALD)
self.centered_text(170, "When Linear DiD", size=26)
self.centered_text(193, "Isn't Enough.", size=26)
teasers = [
"Wooldridge (2023, 2025) ETWFE estimator",
"OLS, Logit, and Poisson QMLE in one class",
"Delta-method SEs, four aggregation types",
]
y_start = 235
for i, teaser in enumerate(teasers):
self.set_xy(0, y_start + i * 22)
self.set_font("Helvetica", "", 17)
self.set_text_color(*GRAY)
self.cell(WIDTH, 10, teaser, align="C")
self.add_footer()
def slide_02_problem(self):
"""Slide 2: The Nonlinear Gap.
Claims & sources:
- Binary, count, and rate outcomes may make level-scale parallel
trends implausible: Wooldridge (2023) Section 1
- "Standard parallel trends may not hold on the level scale":
Wooldridge (2023) motivates nonlinear link functions to place
parallel trends on a more plausible scale (log-odds, log)
"""
self.add_page()
self.light_gradient_background()
self.centered_text(35, "The Nonlinear", size=38)
self.centered_text(68, "Gap", size=38, color=RED)
# Three stacked problem cards with red left-accent bars
margin = 35
box_w = WIDTH - margin * 2
box_h = 44
gap = 6
start_y = 100
bar_w = 4
problems = [
("Binary Outcomes",
"Voting, adoption, mortality -- bounded [0, 1]"),
("Count Data",
"Patent filings, ER visits -- non-negative integers"),
("Rates / Proportions",
"Employment rates, market shares -- fractional"),
]
for i, (title, desc) in enumerate(problems):
by = start_y + i * (box_h + gap)
# White card
self.set_fill_color(*WHITE)
self.set_draw_color(220, 220, 230)
self.set_line_width(0.5)
self.rect(margin, by, box_w, box_h, "DF")
# Red accent bar
self.set_fill_color(*RED)
self.rect(margin, by, bar_w, box_h, "F")
# Title
self.set_xy(margin + bar_w + 12, by + 10)
self.set_font("Helvetica", "B", 18)
self.set_text_color(*NAVY)
self.cell(box_w - bar_w - 24, 10, title)
# Description
self.set_xy(margin + bar_w + 12, by + 28)
self.set_font("Helvetica", "", 15)
self.set_text_color(*GRAY)
self.cell(box_w - bar_w - 24, 10, desc)
# Emerald callout box
callout_y = start_y + 3 * (box_h + gap) + 8
callout_h = 32
self.set_fill_color(*EMERALD_TINT)
self.set_draw_color(*EMERALD)
self.set_line_width(1.0)
self.rect(margin, callout_y, box_w, callout_h, "DF")
self.set_xy(margin, callout_y + 8)
self.set_font("Helvetica", "B", 16)
self.set_text_color(*EMERALD)
self.cell(box_w, 14,
"Standard parallel trends may not hold on the level scale.",
align="C")
# Fine print citation
self.set_xy(0, callout_y + callout_h + 8)
self.set_font("Helvetica", "I", 13)
self.set_text_color(*LIGHT_GRAY)
self.cell(WIDTH, 10,
"Wooldridge (2023): Simple approaches to nonlinear DiD",
align="C")
self.add_footer()
def slide_03_method(self):
"""Slide 3: Wooldridge ETWFE — the method.
Claims & sources:
- Wooldridge (2023): "Simple approaches to nonlinear
difference-in-differences with panel data." The Econometrics
Journal, 26(3), C31-C66.
- Wooldridge (2025): "Two-Way Fixed Effects, the Two-Way Mundlak
Regression, and Difference-in-Differences Estimators." Empirical
Economics, 69(5), 2545-2587.
- Stata jwdid: Rios-Avila (2021), SSC s459114
- "Single saturated regression": Wooldridge (2023) framework
- Equation shown is the OLS specification with unit+time FE
(REGISTRY.md lines 1094-1103). Logit/Poisson use additive
cohort+time dummies instead of unit FE to avoid incidental
parameters bias (REGISTRY.md lines 1152-1153).
- "Nonlinear link functions": _VALID_METHODS = ("ols", "logit",
"poisson") in wooldridge.py line 25
"""
self.add_page()
self.light_gradient_background()
self.centered_text(30, "Wooldridge ETWFE", size=36)
self.centered_text(62, "Extended Two-Way Fixed Effects",
size=18, bold=False, italic=True, color=GRAY)
# Citation
self.centered_text(85, "Wooldridge (2023, 2025) | Stata: jwdid",
size=15, bold=False, italic=True, color=GRAY)
# OLS equation label
self.centered_text(105, "OLS specification (unit + time FE absorbed):",
size=14, bold=False, color=GRAY)
# Saturated regression equation
eq_path, epw, eph = self._render_equations(
[r"$Y_{it} = \alpha_i + \gamma_t + "
r"\sum_{g} \sum_{t \geq g} \delta_{g,t}"
r"\cdot D_{ig} \cdot f_t"
r" + \mathbf{X}'\beta + \varepsilon_{it}$"],
fontsize=24,
)
eq_h = self._place_equation_centered(eq_path, epw, eph, 120,
max_w=220)
# Nonlinear note
nl_y = 120 + eq_h + 4
self.centered_text(nl_y,
"Logit / Poisson: cohort + time dummies, ASF for ATT",
size=14, bold=False, color=EMERALD)
# Three key insight bullets with emerald dashes
margin = 42
y_cursor = nl_y + 22
items = [
("Single saturated regression",
"All ATT(g,t) estimated jointly"),
("Heterogeneous treatment effects",
"Correctly handled across cohorts and time"),
("Nonlinear link functions",
"OLS, Logit, or Poisson QMLE (the key insight)"),
]
for title, desc in items:
# Emerald dash
self.set_xy(margin, y_cursor)
self.set_font("Helvetica", "B", 18)
self.set_text_color(*EMERALD)
self.cell(14, 10, "--")
# Title
self.set_xy(margin + 14, y_cursor)
self.set_font("Helvetica", "B", 18)
self.set_text_color(*NAVY)
self.cell(WIDTH - margin * 2 - 14, 10, title)
# Description
self.set_xy(margin + 14, y_cursor + 20)
self.set_font("Helvetica", "", 14)
self.set_text_color(*GRAY)
self.cell(WIDTH - margin * 2 - 14, 10, desc)
y_cursor += 46
self.add_footer()
def slide_04_three_likelihoods(self):
"""Slide 4: Three Likelihoods, One Framework.
Claims & sources:
- _VALID_METHODS = ("ols", "logit", "poisson"): wooldridge.py line 25
- OLS for continuous, Logit for binary/fractional, Poisson for
counts: wooldridge.py lines 208-210, Wooldridge (2023) Secs 3-4
"""
self.add_page()
self.light_gradient_background()
self.centered_text(30, "Three Likelihoods", size=38)
self.centered_text(63, "One Framework", size=38, color=EMERALD)
margin = 35
box_w = WIDTH - margin * 2
box_h = 48
gap = 6
start_y = 100
bar_w = 4
badge_h = 22
methods = [
("OLS", "Continuous outcomes",
"Wages, test scores, log-employment"),
("Logit", "Binary / fractional outcomes",
"Voting, adoption, participation rates"),
("Poisson", "Count / non-negative outcomes",
"Patents, ER visits, hiring"),
]
for i, (method, subtitle, examples) in enumerate(methods):
by = start_y + i * (box_h + gap)
# White card
self.set_fill_color(*WHITE)
self.set_draw_color(*EMERALD)
self.set_line_width(0.8)
self.rect(margin, by, box_w, box_h, "DF")
# Emerald accent bar
self.set_fill_color(*EMERALD)
self.rect(margin, by, bar_w, box_h, "F")
# Method badge
badge_w = 70
badge_x = margin + bar_w + 12
badge_y = by + 8
self.set_fill_color(*EMERALD)
self.rect(badge_x, badge_y, badge_w, badge_h, "F")
self.set_xy(badge_x, badge_y + 4)
self.set_font("Helvetica", "B", 14)
self.set_text_color(*WHITE)
self.cell(badge_w, 12, method, align="C")
# Subtitle
self.set_xy(badge_x + badge_w + 10, badge_y + 4)
self.set_font("Helvetica", "B", 15)
self.set_text_color(*NAVY)
self.cell(box_w - badge_w - bar_w - 34, 12, subtitle)
# Examples
self.set_xy(margin + bar_w + 12, by + 35)
self.set_font("Helvetica", "", 14)
self.set_text_color(*GRAY)
self.cell(box_w - bar_w - 24, 10, examples)
# Callout text
callout_y = start_y + 3 * (box_h + gap) + 6
self.centered_text(callout_y,
"Choose the link function.",
size=17, bold=True, color=EMERALD)
self.centered_text(callout_y + 22,
"The estimator handles the rest.",
size=17, bold=True, color=EMERALD)
self.add_footer()
def slide_05_technical(self):
"""Slide 5: Under the Hood — ATT extraction, delta-method, aggregations.
Claims & sources:
- OLS ATT: direct coefficient extraction, wooldridge.py lines 599-610
- Nonlinear ASF-based ATT: wooldridge.py lines 794-819
- Delta-method SE: wooldridge_results.py line 93
var = w' @ vcov @ w, SE = sqrt(var)
- Four aggregation types: wooldridge_results.py lines 105-161
simple (105-108), group (110-126), calendar (128-143),
event (145-161). Matches Stata jwdid_estat.
"""
self.add_page()
self.light_gradient_background()
self.centered_text(25, "Under the Hood", size=36)
# OLS path
self.centered_text(62,
"OLS: ATT(g,t) directly from coefficients",
size=15, bold=False, color=GRAY)
# Nonlinear ASF equation
self.centered_text(80,
"Logit / Poisson: ASF-based ATT",
size=15, bold=False, color=EMERALD)
eq_path, epw, eph = self._render_equations(
[r"$\mathrm{ATT}(g,t) = \frac{1}{N_{g,t}}"
r" \sum_{i:\, G_i=g}"
r" \left[ f(\hat{\eta}_{i,1})"
r" - f(\hat{\eta}_{i,0}) \right]$"],
fontsize=24,
)
eq_h = self._place_equation_centered(eq_path, epw, eph, 96,
max_w=220)
# f annotation
f_y = 96 + eq_h + 4
self.centered_text(f_y,
"f = logistic | exponential",
size=14, bold=False, color=EMERALD)
# Delta-method subtitle
self.centered_text(f_y + 22,
"Delta-method SEs for all aggregations",
size=17, bold=True, color=NAVY)
# 2x2 grid of aggregation types
margin = 30
grid_gap = 8
card_w = (WIDTH - margin * 2 - grid_gap) / 2
card_h = 52
grid_y = f_y + 48
agg_types = [
("simple", "Overall weighted average ATT"),
("group", "ATT by treatment cohort"),
("calendar", "ATT by calendar period"),
("event", "ATT by relative time k = t - g"),
]
for idx, (name, desc) in enumerate(agg_types):
row = idx // 2
col = idx % 2
cx = margin + col * (card_w + grid_gap)
cy = grid_y + row * (card_h + grid_gap)
# Card with emerald border
self.set_fill_color(*WHITE)
self.set_draw_color(*EMERALD)
self.set_line_width(0.8)
self.rect(cx, cy, card_w, card_h, "DF")
# Name
self.set_xy(cx + 10, cy + 8)
self.set_font("Helvetica", "B", 17)
self.set_text_color(*EMERALD)
self.cell(card_w - 20, 10, name)
# Description
self.set_xy(cx + 10, cy + 28)
self.set_font("Helvetica", "", 13)
self.set_text_color(*GRAY)
self.cell(card_w - 20, 10, desc)
# Stata note
stata_y = grid_y + 2 * (card_h + grid_gap) + 4
self.centered_text(stata_y,
"Matches Stata jwdid_estat output",
size=14, bold=False, italic=True, color=LIGHT_GRAY)
self.add_footer()
def slide_06_event_study(self):
"""Slide 6: Event Study Plot.
Claims & sources:
- Event study aggregation: wooldridge_results.py lines 145-161
- Plot shows synthetic data with hardcoded ATT values mimicking
a well-behaved staggered DiD with true effect ~2.0
"""
self.add_page()
self.light_gradient_background()
self.centered_text(25, "Event Study", size=38)
# Event study plot
plot_path, ppw, pph = self._render_event_study_plot()
plot_w = WIDTH * 0.85
plot_aspect = pph / ppw
plot_h = plot_w * plot_aspect
plot_x = (WIDTH - plot_w) / 2
plot_y = 65
self.image(plot_path, plot_x, plot_y, plot_w)
# Annotations below plot
ann_y = plot_y + plot_h + 10
self.centered_text(ann_y,
"Pre-treatment: near zero (parallel trends hold)",
size=15, bold=False, color=GRAY)
self.centered_text(ann_y + 20,
"Post-treatment: stable, significant effect",
size=15, bold=True, color=EMERALD)
self.add_footer()
def slide_07_code(self):
"""Slide 7: The Code — Poisson QMLE example.
Claims & sources:
- from diff_diff import WooldridgeDiD: __init__.py
- WooldridgeDiD(method='poisson'): wooldridge.py line 25
- fit() API: wooldridge.py lines 322-332
- .aggregate('event').summary('event'): wooldridge_results.py
summary() defaults to 'simple'; must pass 'event' explicitly
"""
self.add_page()
self.light_gradient_background()
self.centered_text(30, "The Code", size=38)
margin = 28
code_y = 80
token_lines = [
[("from", EMERALD), (" diff_diff ", WHITE),
("import", EMERALD), (" WooldridgeDiD", WHITE)],
[], # blank
[("est ", WHITE), ("=", EMERALD),
(" WooldridgeDiD(", WHITE),
("method", WHITE), ("=", EMERALD),
("'poisson'", GREEN_CODE), (")", WHITE)],
[("results ", WHITE), ("=", EMERALD),
(" est.fit(", WHITE)],
[(" data, ", WHITE), ("outcome", WHITE),
("=", EMERALD), ("'emp'", GREEN_CODE), (",", WHITE)],
[(" ", WHITE), ("unit", WHITE),
("=", EMERALD), ("'county'", GREEN_CODE), (", ", WHITE),
("time", WHITE), ("=", EMERALD), ("'year'", GREEN_CODE),
(",", WHITE)],
[(" ", WHITE), ("cohort", WHITE),
("=", EMERALD), ("'first_treat'", GREEN_CODE), (")", WHITE)],
[], # blank
[("results.aggregate(", WHITE),
("'event'", GREEN_CODE),
(").summary(", WHITE),
("'event'", GREEN_CODE),
(")", WHITE)],
]
code_h = self._add_code_block(
margin, code_y, WIDTH - margin * 2, token_lines,
)
# Subtitles
self.centered_text(code_y + code_h + 16,
"Same fit() API as every diff-diff estimator",
size=16, bold=False, color=GRAY)
self.centered_text(code_y + code_h + 38,
"OLS, Logit, or Poisson -- just change the method",
size=16, bold=False, color=GRAY)
self.add_footer()
def slide_08_milestone(self):
"""Slide 8: 15 Estimators — milestone + community credit.
Claims & sources:
- 15 estimators: counted from __init__.py — all classes with fit()
that estimate treatment effects. Excludes BaconDecomposition
(diagnostic), HonestDiD (sensitivity), PowerAnalysis, PreTrendsPower.
- PR #216 from @wenddymacro: confirmed in git log (commit 54bea41)
- "Most comprehensive standalone DiD library": diff-diff implements
all solvers from scratch (no pyfixest/statsmodels dependency).
The etwfe package on PyPI is a thin wrapper around pyfixest.
"""
self.add_page()
self.light_gradient_background()
# Large counter
self.set_xy(0, 65)
self.set_font("Helvetica", "B", 90)
self.set_text_color(*EMERALD)
self.cell(WIDTH, 45, "15", align="C")
self.centered_text(145, "estimators and counting", size=24)
self.centered_text(185,
"The most comprehensive standalone",
size=17, bold=False, color=GRAY)
self.centered_text(205,
"DiD library for Python",
size=17, bold=False, color=GRAY)
# Community credit box
margin = 40
box_w = WIDTH - margin * 2
box_h = 40
box_y = 240
self.set_fill_color(*EMERALD_TINT)
self.set_draw_color(*EMERALD)
self.set_line_width(0.8)
self.rect(margin, box_y, box_w, box_h, "DF")
self.set_xy(margin, box_y + 6)
self.set_font("Helvetica", "", 15)
self.set_text_color(*GRAY)
self.cell(box_w, 12,
"Community-contributed via PR #216",
align="C")
self.set_xy(margin, box_y + 22)
self.cell(box_w, 12,
"by @wenddymacro",
align="C")
self.add_footer()
def slide_09_cta(self):
"""Slide 9: CTA — Get Started."""
self.add_page()
self.light_gradient_background()
self.centered_text(50, "Get Started", size=42)
# pip install badge
badge_w = 210
badge_h = 36
badge_x = (WIDTH - badge_w) / 2
badge_y = 115
self.set_fill_color(*MID_BLUE)
self.rect(badge_x, badge_y, badge_w, badge_h, "F")
self.set_xy(badge_x, badge_y + 9)
self.set_font("Courier", "B", 15)
self.set_text_color(*WHITE)
self.cell(badge_w, 16, "$ pip install --upgrade diff-diff",
align="C")
# Links
self.centered_text(178, "github.com/igerber/diff-diff",
size=18, color=EMERALD)
self.centered_text(205, "Tutorial 16: Wooldridge ETWFE",
size=18, color=EMERALD)
# Wordmark
self.draw_split_logo(255, size=28)
# Subtitle
self.centered_text(282, "Difference-in-Differences for Python",
size=15, bold=False, color=GRAY)
self.add_footer()
def main():
pdf = WooldridgeCarouselPDF()
try:
pdf.slide_01_hook()
pdf.slide_02_problem()
pdf.slide_03_method()
pdf.slide_04_three_likelihoods()
pdf.slide_05_technical()
pdf.slide_06_event_study()
pdf.slide_07_code()
pdf.slide_08_milestone()
pdf.slide_09_cta()
output_path = Path(__file__).parent / "diff-diff-wooldridge-carousel.pdf"
pdf.output(str(output_path))
print(f"PDF saved to: {output_path}")
finally:
pdf.cleanup()
if __name__ == "__main__":
main()