1% generated by tables/make_tables.py from /Users/simon-pierreboucher/Desktop/UQO/Recherche/Recherche-UQO/informatique/wp44/results/econometrics/its_results.json2\begin{table}[htbp]\centering\caption{Interrupted time series of the total monthly series at the reference date and at four alternative event dates (log counts, month-of-year dummies, Newey--West standard errors).}\label{tab:p9-its-total-events}3\begin{threeparttable}\scriptsize\setlength{\tabcolsep}{3pt}4\resizebox{\ifdim\width>\linewidth\linewidth\else\width\fi}{!}{\begin{tabular}{lrrrrrr}5\toprule6\textbf{Event (month)} & \textbf{Pre-slope (SE)} & \textbf{Level change (SE)} & \textbf{HAC p (level)} & \textbf{Slope change (SE)} & \textbf{HAC p (slope)} & \textbf{$R^2$} \\7\midrule8GPT-3 (2020-06) & 0.0034 (0.0012) & -0.091 (0.059) & 0.123 & +0.0059 (0.0015) & 8.51e-05 & 0.926 \\9DALL$\cdot$E 2 (2022-05) & 0.0034 (0.0007) & -0.075 (0.028) & 0.006 & +0.0100 (0.0009) & 1.39e-28 & 0.965 \\10ChatGPT (2022-12) & 0.0031 (0.0005) & -0.010 (0.024) & 0.685 & +0.0108 (0.0009) & 6.56e-34 & 0.966 \\11GPT-4 (2023-04) & 0.0032 (0.0005) & +0.025 (0.024) & 0.307 & +0.0109 (0.0010) & 6.36e-30 & 0.966 \\12o1 (2024-10) & 0.0049 (0.0006) & +0.103 (0.039) & 0.008 & +0.0115 (0.0018) & 2.88e-10 & 0.951 \\13\bottomrule14\end{tabular}}15\begin{tablenotes}\footnotesize\item Equation~\eqref{eq:its}; each event is coded as the first full month after the public release. Slopes are monthly log growth rates.\end{tablenotes}16\end{threeparttable}\end{table}17