| \begin{table}[ht!] \begin{adjustbox}{max width=1.25\textwidth} \begin{threeparttable} \caption{Impacts on Match Between Treatment and Illness - RDT Sub-Sample} \label{expected_match_lso} {\begin{tabular}{l*{5}{C{0.1\linewidth}}} \toprule \toprule & (1) & (2) & (3) & (4) \\ & \multicolumn{2}{c}{Expected Match} & \multicolumn{2}{c}{Actual Match} \\ \cmidrule(lr){2-3} \cmidrule(lr){4-5} \\ & Prescribed& Purchased& Prescribed& Purchased \\ \toprule |
| $\beta_P$: Patient Voucher& -0.041\sym{*} & -0.090\sym{***}& -0.030 & -0.079\sym{**} \\ |
| & (0.024) & (0.022) & (0.033) & (0.032) \\ |
| $\beta_D$: Doctor Voucher& -0.038\sym{*} & -0.070\sym{***}& -0.015 & -0.096\sym{***}\\ |
| & (0.021) & (0.022) & (0.033) & (0.035) \\ |
| \emph{P-values} & & & & \\ |
| \enspace $\beta_P=\beta_D$& 0.858 & 0.357 & 0.634 & 0.663 \\ |
| \enspace $\beta_P=\beta_D=0$& 0.158 &0.000\sym{***} & 0.657 &0.008\sym{***} \\ |
| & & & & \\ |
| Mean (Control) & 0.482 & 0.563 & 0.506 & 0.607 \\ |
| N & 1126 & 1126 & 1126 & 1126 \\ |
| \hline \end{tabular} } \begin{tablenotes}[flushleft] \small \item \emph{Notes}: Robust standard errors clustered at the clinic level in parentheses. All regressions control for clinic visit date fixed effects. We use double selection lasso to choose additional controls. See notes to Table 3 for a list of potential controls. In columns 3 and 4 match quality is equal to 1 if an individual is malaria positive and was prescribed/bought an antimalarial or is malaria negative and was not prescribed/did not buy an antimalarial and is zero otherwise. In columns 1-2 the value of one is replaced with either the probability an individual is positive (for antimalarial receipt) or the probability an individual is negative (for non-receipt). *, **, and *** denote statistical significance at the 10, 5, and 1 percent levels respectively. \end{tablenotes} \end{threeparttable} \end{adjustbox} \end{table} |
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