the variable (z-ln_mve) is standardized using commands:
Code:
gen z_ln_mve=0
Code:
replace z_ln_mve=ln_mve-mean(ln_mve)
small= less than or equal to _1 standard deviation in the market value variable (z_ln_mve)
medium= between greater than -1 and less than +1 standard deviation
large= greater than or equal to +1 standard deviation
the sample data is given below
where ln_mve= log of market value
and
z_ln_mve= standardized values of log of market values.
Code:
sum z_ln_mve
----------------------------------------------------------------------
z_ln_mve | 24,605 1.09e-06 2.304831 -6.974789 6.907081
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input double ln_mve float z_ln_mve 17.565108747112916 -3.331611 17.40258981761514 -3.49413 17.8344416808965 -3.062278 17.688934097225264 -3.207786 16.811052813465977 -4.085667 17.639541341895686 -3.2571785 17.57640830236685 -3.320312 17.46979856730859 -3.4269214 17.856760203852197 -3.03996 17.865213339563255 -3.031507 18.012122858133953 -2.884597 18.10107034415045 -2.79565 18.137627939884247 -2.759092 17.875263675416754 -3.021456 18.181522133441472 -2.715198 17.993046711073138 -2.903673 17.86689542574624 -3.0298245 17.788252298427125 -3.108468 17.692942118622803 -3.203778 17.875263675416754 -3.021456 17.753096041442546 -3.143624 17.830963416520177 -3.0657566 17.788252298427125 -3.108468 17.764332114709475 -3.132388 17.87025113359321 -3.026469 17.955306383090292 -2.9414136 18.029414355244015 -2.867306 17.88356247823145 -3.0131576 17.93980219655433 -2.956918 17.93980219655433 -2.956918 17.891792977367967 -3.004927 17.875263675416754 -3.021456 18.34004536068134 -2.556675 18.86851544842704 -2.0282044 18.907854862987072 -1.988865 18.865424255857366 -2.0312958 18.922582669697317 -1.9741373 18.92841359000811 -1.9683064 18.856717733197325 -2.0400023 18.84667370651199 -2.0500462 18.87773210353196 -2.018988 18.959889722110127 -1.9368303 18.869749254875966 -2.0269709 18.589030143179436 -2.30769 18.641506411047253 -2.2552135 18.78419405288462 -2.112526 19.458357612511254 -1.4383624 20.288196825579668 -.6085232 19.792186287598817 -1.1045337 19.4210515607744 -1.4756684 19.36027150947268 -1.5364485 19.174546659547016 -1.7221733 19.179081814712408 -1.717638 19.00127493827298 -1.895445 18.920240748252233 -1.9764793 19.044127302629125 -1.8525927 19.05032246957805 -1.8463975 18.74376374345456 -2.1529562 18.75765285561523 -2.1390672 18.974431365376567 -1.9222887 18.615612457460994 -2.2811074 18.291778619711504 -2.6049414 18.386089299182746 -2.5106306 18.46859052069449 -2.4281294 18.43487946335218 -2.4618406 18.605224829099416 -2.291495 18.636069504450514 -2.2606504 18.648453563650236 -2.2482665 18.481399478987072 -2.4153206 18.335848082746 -2.560872 18.28072878352492 -2.615991 18.28072878352492 -2.615991 18.28072878352492 -2.615991 18.345267304662492 -2.5514526 18.35563009169804 -2.54109 18.386089299182746 -2.5106306 18.258255927672863 -2.638464 18.42049072590008 -2.476229 18.481399478987072 -2.4153206 18.43487946335218 -2.4618406 18.258255927672863 -2.638464 18.386089299182746 -2.5106306 18.308127757713034 -2.588592 18.39702923922108 -2.499691 18.49941798448975 -2.397302 18.43487946335218 -2.4618406 18.49941798448975 -2.397302 18.55160373766032 -2.3451164 18.55160373766032 -2.3451164 18.481399478987072 -2.4153206 18.391076840693785 -2.505643 18.391076840693785 -2.505643 18.385088798849164 -2.511631 18.33374281881054 -2.562977 18.33374281881054 -2.562977 22.984427670946943 2.0877078 22.984427670946943 2.0877078 22.99255779703019 2.0958378 22.833960674210953 1.9372407 22.92828914500774 2.0315692 end
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