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july172013_oct6revist.do
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july172013_oct6revist.do
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//July 17, 2013
***************************
* This code runs setup2: lnv ~ lna
* Setup 1 was run in july17_vacant_vsq.do: lgvsq ~
***************************
clear
cd "/Users/huiling/Dropbox/Vacant Land"
capture log close
log using july172013, replace
* use jan_20_vacant.dta, clear // this version has x,y in projected coordinates
use myfile_may16.dta, clear // this version has x, y in regular coordinates
* format scag_xyid %14.0f //myfile_may16.dta does not have scag_xyid !!
** use city_name instead of city, as the former has far less missing
*gen rdn = runiform()
*keep if rdn < 0.01
replace fwy = fwy * 0.00062137
replace ocean = ocean * 0.00062137
replace totvalue07 = . if totvalue07 == 0
replace shape_area = . if shape_area == 0
replace scag_gp_co = 0 if scag_gp_co == 9999 // Code missing scag_gp_co as one of the categories in dummy regression
replace saleyr = . if saleyr == 1899 | saleyr == 0
*** Exclude parcels with saleyr earlier than 1980.
gen saleyr_bk = saleyr
replace saleyr = . if saleyr < 1980
replace city_name = "Unknown" if missing(city_name)
gen cbd2 = cbd^2
gen ocean2 = ocean^2
gen lnv = ln(totvalue07)
gen lna = ln(shape_area)
gen vsq = totvalue07 / shape_area *0.09290304
** WARNING of dropping parcels affect tables!
drop if missing(lna)
gen county = ""
replace county = "LA" if mz >= 1 & mz <= 46
replace county = "VT" if mz >= 47 & mz <= 49
replace county = "OR" if mz >= 50 & mz <= 66
replace county = "SB" if mz >= 67 & mz <= 80
replace county = "RV" if mz >= 81 & mz <= 95
replace county = "IM" if mz >= 96 & mz <= 97
* replace county = "NA" if mz == 0
//there is no parcel that misses city_name, so we can infer missing counties from city_name
replace county = "LA" if city_name == "unincorporated_la"
replace county = "OR" if city_name == "unincorporated_or"
replace county = "RV" if city_name == "unincorporated_rv"
replace county = "SB" if city_name == "unincorporated_sb"
replace county = "VT" if city_name == "unincorporated_vn"
encode county, gen(county_n)
levelsof city_name, local(citylist)
foreach lc of local citylist {
sum county_n if city_name == "`lc'" & !missing(county), meanonly
replace county_n = r(mean) if city_name == "`lc'" & missing(county)
}
decode county_n, gen(county_s)
replace county_s = "LA" if city_name == "Avalon" | city_name == "Cerritos"| city_name == "La Mirada" | city_name == "Lakewood"
replace county_s = "LA" if city_name == "Long Beach" | city_name == "Los Angeles" | city_name == "Hawaiian Gardens"
replace county_s = "SB" if city_name == "Chino" | city_name == "Colton" | city_name == "Fontana" | city_name == "Yucaipa" | city_name == "Montclair" | city_name == "Ontario"
replace county_s = "OR" if city_name == "La Habra" | city_name == "Los Alamitos"
replace county_s = "VT" if city_name == "Thousand Oaks"
drop county
rename county_s county
drop if county == "IM"
//remove outliers
* shape_area too small and value per square foot too large
* gen insample = shape_area > 10 & vsq < 10000
// last sale year earlier than 1964 (# of parcels less than a hundred)
* replace insample = insample & saleyr >= 1964
gen lnv2000 = .
gen insample = .
*************** Labelling variable ************
*label define lb_lu_08 1700 "Under Construction"
*label define lb_lu_08 1810 "Under Construction"
***********************************************
**** Developable vacant land
char city_name [omit] "Unknown"
xi: reg lnv lna fsub cbd cbd2 fwy ocean ocean2 i.city_name i.saleyr i.lu_08 i.scag_gp_co if insample & dvlp
estimates store developable
estimates save developable, replace
levelsof saleyr if e(sample), local(lvsaleyr)
foreach lv of local lvsaleyr {
*capture replace lnv2000 = lnv - _b[`lv'.saleyr] + _b[2000.saleyr] if saleyr == `lv' & e(sample)
capture replace lnv2000 = lnv - _b[_Isaleyr_`lv'] + _b[_Isaleyr_2000] if saleyr == `lv' & e(sample)
}
// base year probelm:
replace lnv2000 = lnv + _b[_Isaleyr_2000] if saleyr == 1980 & e(sample)
foreach var of varlist _Isaleyr_* {
replace `var' = 0
}
replace _Isaleyr_2000 = 1
predict lnv_p if dvlp
replace lnv2000 = lnv_p if e(sample) == 0 & dvlp
drop lnv_p
***** Undevelopable vacant land
xi: reg lnv lna fsub cbd cbd2 fwy ocean ocean2 i.city_name i.saleyr i.lu_08 i.scag_gp_co if insample & !dvlp
estimates store undevelopable
estimates save undevelopable, replace
levelsof saleyr if e(sample), local(lvsaleyr)
foreach lv of local lvsaleyr {
*capture replace lnv2000 = lnv - _b[`lv'.saleyr] + _b[2000.saleyr] if saleyr == `lv' & e(sample)
capture replace lnv2000 = lnv - _b[_Isaleyr_`lv'] + _b[_Isaleyr_2000] if saleyr == `lv' & e(sample)
}
// base year probelm:
replace lnv2000 = lnv + _b[_Isaleyr_2000] if saleyr == 1980 & e(sample)
foreach var of varlist _Isaleyr_* {
replace `var' = 0
}
replace _Isaleyr_2000 = 1
predict lnv_p if !dvlp
replace lnv2000 = lnv_p if e(sample) == 0 & !dvlp
drop lnv_p
gen v2000 = exp(lnv2000)
save july17_results_oct6revist.dta, replace
bysort county dvlp: egen nparcel = count(v2000)
collapse (mean) nparcel (sum) v2000 shape_area, by(county dvlp)
gen shape_area_sqft = shape_area * 10.7639104
gen vsq2000 = v2000/ shape_area_sqft
format v2000 shape_area shape_area_sqft %14.0f
format vsq2000 %14.2f
use july17_results_oct6revist.dta, clear
replace insample = !missing(lnv) & !missing(saleyr)
bysort county insample: egen nparcel = count(v2000)
collapse (mean) nparcel (sum) v2000 shape_area, by(county insample)
gen shape_area_sqft = shape_area * 10.7639104
format v2000 shape_area shape_area_sqft %14.0f
estout developable undevelopable using test.doc, style(fixed) cells(b(star fmt(%9.3f)) se(par)) replace drop(o.* _I*)///
stats(r2_a N, fmt(%9.3f %9.0g) labels(R-squared))///
legend label collabels(none) varlabels(_cons Constant)
*replace shape_area = shape_area * 10.7639 //change to square feet
collapse (sum) v2000 shape_area, by(county dvlp)
gen vsq2000 = v2000/shape_area
*outsheet using dvlp1.txt if dvlp, replace
*outsheet using dvlp0.txt if !dvlp, replace
** vsq2000 by land use and county
collapse (sum) v2000 shape_area, by(county lu_08 dvlp)
gen vsq2000 = v2000/shape_area
format vsq2000 %14.02f
table lu_08 county, c(mean vsq2000)
// ************************ Prepare tables for paper ***************************
***** This is problem using count(saleyr) to calculate nparcel!!!!!!!!!!!
*** Correct later :(
//Table 2:
use july17_results.dta, clear
keep if !missing(saleyr) & !missing(totvalue07)
bysort county: egen nparcel = count(saleyr)
collapse (mean) nparcel (sum) totarea = shape_area totv2000 = v2000, by(county)
format totarea totv2000 %14.0f
gen vsq2000 = totv2000 / totarea
outsheet using table2.xls, replace
//Table 2: Remove outliers
use july17_results.dta, clear
keep if !missing(saleyr) & !missing(totvalue07) & insample
bysort county: egen nparcel = count(saleyr)
collapse (mean) nparcel (sum) totarea = shape_area totv2000 = v2000, by(county)
format totarea totv2000 %14.0f
gen vsq2000 = totv2000 / totarea
outsheet using table2_nooutlier.xls, replace
//Table 3B:
use july17_results.dta, clear
keep if missing(saleyr) | missing(totvalue07)
bysort county: egen nparcel = count(saleyr)
collapse (mean) nparcel (sum) totarea = shape_area totv2000 = v2000, by(county)
* format totarea totv2000 %14.0f
gen vsq2000 = totv2000 / totarea
replace totarea = totarea / 1e9
replace totv2000 = totv2000 / 1e9
format totarea totv2000 %9.2f
outsheet using table3B.xls, replace
//Table 4B:
use july17_results.dta, clear
drop if missing(county) | county == "IM"
bysort county: egen nparcel = count(saleyr)
collapse (mean) nparcel (sum) totarea = shape_area totv2000 = v2000, by(county)
gen vsq2000 = totv2000 / totarea
replace totarea = totarea / 1e9
replace totv2000 = totv2000 / 1e9
format totarea totv2000 %9.2f
outsheet using table4B.xls, replace
//Table 5B:
use july17_results.dta, clear
drop if missing(county) | county == "IM"
keep if dvlp
bysort county: egen nparcel = count(saleyr)
collapse (mean) nparcel (sum) totarea = shape_area totv2000 = v2000, by(county)
gen vsq2000 = totv2000 / totarea
replace totarea = totarea / 1e9
replace totv2000 = totv2000 / 1e9
format totarea totv2000 %9.2f
outsheet using table5B.xls, replace
//Table 6B:
use july17_results.dta, clear
drop if missing(county) | county == "IM"
keep if !dvlp
bysort county: egen nparcel = count(saleyr)
collapse (mean) nparcel (sum) totarea = shape_area totv2000 = v2000, by(county)
gen vsq2000 = totv2000 / totarea
replace totarea = totarea / 1e9
replace totv2000 = totv2000 / 1e9
format totarea totv2000 %9.2f
outsheet using table6B.xls, replace