Equilibrium Implications

Y                   =   1.629 
A                   =   1.629 
L                   =   1.000 
aggregate profits   =   0.343 
A loss, *100        =   4.573 
mean markup         =   1.163 
aggregate markup    =   1.267 
import share        =   0.374 
trade elastic       =   3.980 

...calculating model moments... 
                                         Model    Data

mean HH inverse                      =   7.678   7.245 
median HH inverse                    =   5.564   3.921 
mean highest share                   =   0.295   0.449 
median highest share                 =   0.245   0.396 

mean share                           =   0.066   0.038 
s.d. share                           =   0.104   0.106 
median share                         =   0.021   0.005 
75th share                           =   0.071   0.023 
95th share                           =   0.258   0.191 
99th share                           =   0.500   0.591 


Search over sectoral Pareto shape that best fits size distribution 



Pareto shape sectoral draws          =   1.360  


frac. sales top 0.01 sectors         =   0.194   0.261 
frac. sales top 0.05 sectors         =   0.382   0.523 
frac. WL of (same) top 0.01          =   0.194   0.105 
frac. WL of (same) top 0.05          =   0.382   0.323 

number producers p10                 =       3       2 
number producers p25                 =       4       4 
number producers p50                 =      12      10 
number producers p75                 =      19      22 
number producers p90                 =      39      50 
number producers p95                 =      42      85 

frac. value added top 0.01 establ.   =   0.281   0.413 
frac. value added top 0.05 establ.   =   0.512   0.647 
frac. WL of (same) top 0.01          =   0.267   0.238 
frac. WL of (same) top 0.05          =   0.492   0.469 

agg. import share                    =   0.374   0.376 

index import share dispers.          =   0.771   0.622 
Grubel-Lloyd (GL) index              =   0.808   0.368 


mean   p90-p10                       =   0.158   0.290 
median p90-p10                       =   0.118   0.225 
mean   p75-p25                       =   0.091   0.158 
median p75-p25                       =   0.000   0.081 
mean   sd share                      =   0.073   0.144 
median sd share                      =   0.054   0.105 

HH inverse p10                       =   2.076   1.135 
HH inverse p25                       =   3.161   1.997 
HH inverse p50                       =   5.564   3.608 
HH inverse p75                       =   9.850   6.819 
HH inverse p90                       =  15.814  13.311 
HH inverse p95                       =  22.242  20.764 

top share  p10                       =   0.089   0.162 
top share  p25                       =   0.143   0.258 
top share  p50                       =   0.245   0.416 
top share  p75                       =   0.400   0.644 
top share  p90                       =   0.569   0.938 
top share  p95                       =   0.697   1.000 

sectoral markup  p50                 =   1.251   1.610 
sectoral markup  p75 to p50          =   1.063   1.140 
sectoral markup  p90 to p50          =   1.134   1.430 
sectoral markup  p95 to p50          =   1.187   1.820 
sectoral markup  p99 to p50          =   1.337   3.160 


mean absolute percentage loss        =   0.462  



Y                   =   1.468 
A                   =   1.468 
L                   =   1.000 
aggregate profits   =   0.375 
A loss, *100        =   7.915 
mean markup         =   1.169 
aggregate markup    =   1.343 
import share        =   0.000 
trade elastic       =  -0.000 