\begin{table}[htbp]\centering
\begin{threeparttable}
\caption{Banner fixed effects on log posted price within product-week (reference: Metro)}\label{tab:bannerfe}
\small
\begin{tabular}{lrrrr}
\toprule
Banner & Coefficient & s.e. (group) & s.e. (group+banner) & Listing-weeks \\
\midrule
Walmart & -0.202 & 0.037 & 0.032 & 34 \\
Giant Tiger & -0.189 & 0.052 & 0.039 & 265 \\
Maxi & -0.184 & 0.016 & 0.027 & 10\,844 \\
Club Entrepôt & -0.136 & 0.016 & 0.027 & 9\,214 \\
Aubut & -0.135 & 0.030 & 0.023 & 293 \\
IGA & -0.120 & 0.055 & 0.041 & 226 \\
Super C & -0.100 & 0.003 & 0.003 & 17\,329 \\
Provigo & -0.043 & 0.016 & 0.027 & 10\,405 \\
Avril & -0.012 & 0.028 & 0.021 & 346 \\
Mayrand & 0.003 & 0.021 & 0.018 & 100 \\
Marché Tau & 0.016 & 0.036 & 0.031 & 58 \\
Maturin & 0.082 & 0.028 & 0.021 & 4 \\
La Boîte à Grains & 0.086 & 0.026 & 0.019 & 601 \\
Marché Nuvo & 0.121 & 0.066 & 0.054 & 92 \\
\bottomrule
\end{tabular}
\begin{tablenotes}[flushleft]\footnotesize
\item Model A: $\log p_{irw} = \alpha_{iw} + \gamma_r + \varepsilon_{irw}$ on matched groups (tiers A+B), storefront channel, non-ambiguous group-weeks. Standard errors clustered by match group, and two-way by group and banner. Coefficients are relative posted-price levels for the same product in the same week; banners with few listing-weeks are imprecisely estimated.
\end{tablenotes}
\end{threeparttable}
\end{table}