\begin{threeparttable}
\setlength\extrarowheight{-5pt}
\begin{tabular}{l@{\hskip .2in}c@{\hskip .4in}cccc}
\toprule \toprule
& (1) & (2) & (3) & (4) & (5) \\
& Formal   & Informal & Own-Account & Employer & \\
& Salaried & Salaried &                     &                  & K-P Stat.\\ \addlinespace \midrule \addlinespace
All
&  -0.09***
&  -0.02
&  -0.04
&   0.01
&  25.69 \\
& (  0.02)
& (  0.07)
& (  0.09)
& (  0.02)
\\ \addlinespace
\addlinespace \midrule \addlinespace
Female
&  -0.09***
&  -0.00
&  -0.03
&   0.01
&  25.35 \\
& (  0.03)
& (  0.06)
& (  0.10)
& (  0.01)
\\ \addlinespace
Male
&  -0.08**
&  -0.03
&  -0.05
&   0.02
&  26.10 \\
& (  0.03)
& (  0.10)
& (  0.09)
& (  0.03)
\\ \addlinespace
\addlinespace \midrule \addlinespace
Age 15-24
&  -0.10***
&  -0.02
&  -0.31***
&  -0.01
&  24.77 \\
& (  0.03)
& (  0.08)
& (  0.11)
& (  0.00)
\\ \addlinespace
Age 25-34
&  -0.02
&  -0.01
&   0.07
&  -0.00
&  23.15 \\
& (  0.05)
& (  0.08)
& (  0.11)
& (  0.02)
\\ \addlinespace
Age 35-44
&  -0.09**
&  -0.04
&   0.10
&   0.04
&  25.02 \\
& (  0.04)
& (  0.08)
& (  0.09)
& (  0.03)
\\ \addlinespace
Age 45-54
&  -0.10**
&  -0.00
&   0.02
&   0.03
&  29.18 \\
& (  0.04)
& (  0.06)
& (  0.08)
& (  0.03)
\\ \addlinespace
Age 55-64
&  -0.10**
&  -0.03
&  -0.01
&   0.05**
&  29.02 \\
& (  0.05)
& (  0.05)
& (  0.11)
& (  0.02)
\\ \addlinespace
\addlinespace \midrule \addlinespace
Less than Secondary
&  -0.10***
&  -0.05
&  -0.06
&   0.02
&  31.28 \\
& (  0.02)
& (  0.08)
& (  0.10)
& (  0.03)
\\ \addlinespace
Secondary
&  -0.05
&  -0.07
&   0.06
&  -0.00
&  26.91 \\
& (  0.04)
& (  0.07)
& (  0.11)
& (  0.02)
\\ \addlinespace
Post-Secondary
&  -0.08*
&   0.01
&  -0.04
&   0.03
&  19.22 \\
& (  0.05)
& (  0.06)
& (  0.10)
& (  0.02)
\\ \addlinespace
\bottomrule \bottomrule
\end{tabular}
\begin{tablenotes}
\small
\item Models are 2SLS linear probability models for probability of employment in a group (multiplied by 100), not conditional on working, with Year FE and City FE. Wage-sector workers are split by formality, defined according to compliance with mandatory health and pension schemes. Self employed workers are split into own-account (with no employees, predominantly informal) and employer. Observations weighted by city-year-group population. Cluster-robust standard errors in parentheses. * p$<$0.10, ** p$<$0.05, *** p$<$0.01.
\end{tablenotes}
\end{threeparttable}
