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Copy pathWILDER fsQCA replication code.R
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WILDER fsQCA replication code.R
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#######################################################################################################
# #
# fuzzy-set replication code for Wilder, Matt. (2021). "Can we afford to be more like Scandinavians?" #
# Available at SSRN: http://dx.doi.org/10.2139/ssrn.3808057 #
# #
# Working paper -- please report errors/bugs, or make suggestions: [email protected] #
# #
#######################################################################################################
# required packages (run install.packages("package name") if necessary)
library(psych); library(base); library(dplyr); library(QCA); library(SetMethods)
#######################
# read in patent data #
#######################
data <- read.delim("./output_data.csv", header=TRUE, sep="\t", stringsAsFactors=FALSE)
data$date <- as.Date(data$date) # format date column as date type
# remove duplicate patents
data = filter(data, patent != "5693762" & patent != "5585089" & patent != "6573273")
# remove US cases if desired
# data = filter(data, assignee_country != "US")
# data = filter(data, inventor_country != "US")
# to easily test for bi-gram and tri-gram radicality (instead of total radicality) if desired
# data$total_radicality <- data$b_radicality + data$t_radicality
################################################
# #
# fsQCA CALIBRATION (direct method) #
# #
################################################
# in QCA it is conventional to use lower case or ~ for negation, + for logical OR and * for logical AND
# rename institutional variables upper case to respect QCA conventions
data <- data %>%
dplyr::rename(CORP_GOVA = corp_gova, CORP_GOVI = corp_govi, IFM_RELA = ifm_rela, IFM_RELI = ifm_reli,
FRM_HIERA = frm_hiera, FRM_HIERI = frm_hieri, EMP_RELA = emp_rela, EMP_RELI = emp_reli,
OCC_TRAINA = occ_traina, OCC_TRAINI = occ_traini)
# subset patent data to 30 year overlapping periods
data6090 <- subset(data, date > "1959-12-31" & date < "1990-01-01")
data7000 <- subset(data, date > "1969-12-31" & date < "2000-01-01")
data8010 <- subset(data, date > "1979-12-31" & date < "2010-01-01")
data9020 <- subset(data, date > "1989-12-31" & date < "2021-01-01")
########################################
##### full period ######
########################################
# get patent counts by country
data %>% dplyr::count(assignee_country)
# get radical patent counts by country
quantile(data$total_radicality, c(.25, .50, .75, .90, .95, .99))
data$FSRADICALITY <- calibrate(data$total_radicality, type = "fuzzy",
thresholds = "e= 0, c= 145.0, i= 6057.8", ecdf = TRUE)
keepsa <- c("FSRADICALITY", "CORP_GOVA", "IFM_RELA", "FRM_HIERA", "EMP_RELA",
"OCC_TRAINA") # assignee
keepsi <- c("FSRADICALITY", "CORP_GOVI", "IFM_RELI", "FRM_HIERI", "EMP_RELI",
"OCC_TRAINI") # inventor
data_a <- data[keepsa]
data_i <- data[keepsi]
######################
# US configuration #
######################
# assignee
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA*~EMP_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a) # <= denotes necessity, => denotes sufficiency, + = logical OR, * = logical AND ~ = negation
# inventor
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI*~EMP_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
###########################
# UK, Canada, Australia #
###########################
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
##############
# Ireland #
##############
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI <= FSRADICALITY", data = data_i)
##################
# New Zealand #
##################
pof("~OCC_TRAINA*~FRM_HIERA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Spain #
############
pof("~OCC_TRAINA*IFM_RELA*~EMP_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*IFM_RELI*~EMP_RELI <= FSRADICALITY", data = data_i)
############
# France #
############
pof("FRM_HIERA <= FSRADICALITY", data = data_a)
pof("FRM_HIERI <= FSRADICALITY", data = data_i)
#########################
# Portugal and Greece #
#########################
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Italy #
############
pof("OCC_TRAINA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Japan #
############
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA*EMP_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI*EMP_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
###############
# S. Korea #
###############
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI <= FSRADICALITY", data = data_i)
#############
# Finland #
#############
pof("~OCC_TRAINA*FRM_HIERA*~IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*FRM_HIERI*~IFM_RELI <= FSRADICALITY", data = data_i)
##################
# Switzerland #
##################
pof("OCC_TRAINA*EMP_RELA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*EMP_RELI <= FSRADICALITY", data = data_i)
##################
# Denmark #
##################
pof("~OCC_TRAINA*FRM_HIERA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*FRM_HIERI*CORP_GOVI <= FSRADICALITY", data = data_i)
###############################
# Sweden & Netherlands #
###############################
pof("FRM_HIERA*EMP_RELA <= FSRADICALITY", data = data_a)
pof("FRM_HIERI*EMP_RELI <= FSRADICALITY", data = data_i)
##################
# Norway #
##################
pof("~OCC_TRAINA*FRM_HIERA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*FRM_HIERI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
##################
# Belgium #
##################
pof("OCC_TRAINA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
##################
# Germany #
##################
pof("OCC_TRAINA*FRM_HIERA*IFM_RELA*EMP_RELA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*FRM_HIERI*IFM_RELI*EMP_RELI <= FSRADICALITY", data = data_i)
##################
# Austria #
##################
pof("OCC_TRAINA*FRM_HIERA*IFM_RELA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*FRM_HIERI*IFM_RELI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
#########################################
############### 60-90 ###################
#########################################
# get patent counts by country
data6090 %>% dplyr::count(assignee_country)
# get radical patent counts by country
quantile(data6090$total_radicality, c(.25, .50, .75, .90, .95, .99))
# e = complete nonmembership value' c = the crossover value (re: more/less in than out) i=complete membership
data6090$FSRADICALITY<- calibrate(data6090$total_radicality, type = "fuzzy",
thresholds = "e= 0, c= 6844.0 , i=77771.6 ", ecdf = TRUE)
keepsa <- c("FSRADICALITY", "CORP_GOVA", "IFM_RELA", "FRM_HIERA", "EMP_RELA",
"OCC_TRAINA")
keepsi <- c("FSRADICALITY","CORP_GOVI", "IFM_RELI", "FRM_HIERI", "EMP_RELI",
"OCC_TRAINI")
data_a <- data6090[keepsa]
data_i <- data6090[keepsi]
######################
# US configuration #
######################
# assignee
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA*~EMP_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a) # <= denotes necessity, => denotes sufficiency, + = logical OR, * = logical AND ~ = negation
# inventor
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI*~EMP_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
###########################
# UK, Canada, Australia #
###########################
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
##############
# Ireland #
##############
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI <= FSRADICALITY", data = data_i)
##################
# New Zealand #
##################
pof("~OCC_TRAINA*~FRM_HIERA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Spain #
############
pof("~OCC_TRAINA*IFM_RELA*~EMP_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*IFM_RELI*~EMP_RELI <= FSRADICALITY", data = data_i)
############
# France #
############
pof("FRM_HIERA <= FSRADICALITY", data = data_a)
pof("FRM_HIERI <= FSRADICALITY", data = data_i)
#########################
# Portugal and Greece #
#########################
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Italy #
############
pof("OCC_TRAINA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Japan #
############
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA*EMP_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI*EMP_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
###############
# S. Korea #
###############
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI <= FSRADICALITY", data = data_i)
#############
# Finland #
#############
pof("~OCC_TRAINA*FRM_HIERA*~IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*FRM_HIERI*~IFM_RELI <= FSRADICALITY", data = data_i)
##################
# Switzerland #
##################
pof("OCC_TRAINA*EMP_RELA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*EMP_RELI <= FSRADICALITY", data = data_i)
##################
# Denmark #
##################
pof("~OCC_TRAINA*FRM_HIERA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*FRM_HIERI*CORP_GOVI <= FSRADICALITY", data = data_i)
###############################
# Sweden & Netherlands #
###############################
pof("FRM_HIERA*EMP_RELA <= FSRADICALITY", data = data_a)
pof("FRM_HIERI*EMP_RELI <= FSRADICALITY", data = data_i)
##################
# Norway #
##################
pof("~OCC_TRAINA*FRM_HIERA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*FRM_HIERI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
##################
# Belgium #
##################
pof("OCC_TRAINA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
##################
# Germany #
##################
pof("OCC_TRAINA*FRM_HIERA*IFM_RELA*EMP_RELA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*FRM_HIERI*IFM_RELI*EMP_RELI <= FSRADICALITY", data = data_i)
##################
# Austria #
##################
pof("OCC_TRAINA*FRM_HIERA*IFM_RELA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*FRM_HIERI*IFM_RELI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
#########################################
############### 70-00 ###################
#########################################
# get patent counts by country
data7000 %>% dplyr::count(assignee_country)
quantile(data7000$total_radicality, c(.25, .50, .75, .90, .95, .99))
# e = complete nonmembership value' c = the crossover value (re: more/less in than out) i=complete membership
data7000$FSRADICALITY <- calibrate(data7000$total_radicality, type = "fuzzy",
thresholds = "e= 0, c= 2350.0, i=24534.2", ecdf = TRUE)
# keep only needed columns
keepsa <- c("FSRADICALITY","CORP_GOVA", "IFM_RELA", "FRM_HIERA", "EMP_RELA",
"OCC_TRAINA")
keepsi <- c("FSRADICALITY", "CORP_GOVI", "IFM_RELI", "FRM_HIERI", "EMP_RELI",
"OCC_TRAINI")
data_a <- data7000[keepsa]
data_i <- data7000[keepsi]
######################
# US configuration #
######################
# assignee
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA*~EMP_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a) # <= denotes necessity, => denotes sufficiency, + = logical OR, * = logical AND ~ = negation
# inventor
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI*~EMP_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
###########################
# UK, Canada, Australia #
###########################
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
##############
# Ireland #
##############
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI <= FSRADICALITY", data = data_i)
##################
# New Zealand #
##################
pof("~OCC_TRAINA*~FRM_HIERA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Spain #
############
pof("~OCC_TRAINA*IFM_RELA*~EMP_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*IFM_RELI*~EMP_RELI <= FSRADICALITY", data = data_i)
############
# France #
############
pof("FRM_HIERA <= FSRADICALITY", data = data_a)
pof("FRM_HIERI <= FSRADICALITY", data = data_i)
#########################
# Portugal and Greece #
#########################
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Italy #
############
pof("OCC_TRAINA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Japan #
############
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA*EMP_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI*EMP_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
###############
# S. Korea #
###############
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI <= FSRADICALITY", data = data_i)
#############
# Finland #
#############
pof("~OCC_TRAINA*FRM_HIERA*~IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*FRM_HIERI*~IFM_RELI <= FSRADICALITY", data = data_i)
##################
# Switzerland #
##################
pof("OCC_TRAINA*EMP_RELA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*EMP_RELI <= FSRADICALITY", data = data_i)
##################
# Denmark #
##################
pof("~OCC_TRAINA*FRM_HIERA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*FRM_HIERI*CORP_GOVI <= FSRADICALITY", data = data_i)
###############################
# Sweden & Netherlands #
###############################
pof("FRM_HIERA*EMP_RELA <= FSRADICALITY", data = data_a)
pof("FRM_HIERI*EMP_RELI <= FSRADICALITY", data = data_i)
##################
# Norway #
##################
pof("~OCC_TRAINA*FRM_HIERA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*FRM_HIERI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
##################
# Belgium #
##################
pof("OCC_TRAINA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
##################
# Germany #
##################
pof("OCC_TRAINA*FRM_HIERA*IFM_RELA*EMP_RELA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*FRM_HIERI*IFM_RELI*EMP_RELI <= FSRADICALITY", data = data_i)
##################
# Austria #
##################
pof("OCC_TRAINA*FRM_HIERA*IFM_RELA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*FRM_HIERI*IFM_RELI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
#######################################
############## 80-10 ##################
#######################################
# get patent counts by country
data8010 %>% dplyr::count(assignee_country)
# making the fuzzy set variable for radicality for 1960-1990
quantile(data8010$total_radicality, c(.25, .50, .75, .90, .95, .99))
# e = complete nonmembership value' c = the crossover value (re: more/less in than out) i=complete membership
data8010$FSRADICALITY <- calibrate(data8010$total_radicality, type = "fuzzy",
thresholds = "e= 0, c= 473.0, i=9076.0", ecdf = TRUE)
# keep only needed columns
keepsa <- c("FSRADICALITY","CORP_GOVA", "IFM_RELA", "FRM_HIERA", "EMP_RELA",
"OCC_TRAINA")
keepsi <- c("FSRADICALITY", "CORP_GOVI", "IFM_RELI", "FRM_HIERI", "EMP_RELI",
"OCC_TRAINI")
data_a <- data8010[keepsa]
data_i <- data8010[keepsi]
######################
# US configuration #
######################
# assignee
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA*~EMP_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a) # <= denotes necessity, => denotes sufficiency, + = logical OR, * = logical AND ~ = negation
# inventor
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI*~EMP_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
###########################
# UK, Canada, Australia #
###########################
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
##############
# Ireland #
##############
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI <= FSRADICALITY", data = data_i)
##################
# New Zealand #
##################
pof("~OCC_TRAINA*~FRM_HIERA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Spain #
############
pof("~OCC_TRAINA*IFM_RELA*~EMP_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*IFM_RELI*~EMP_RELI <= FSRADICALITY", data = data_i)
############
# France #
############
pof("FRM_HIERA <= FSRADICALITY", data = data_a)
pof("FRM_HIERI <= FSRADICALITY", data = data_i)
#########################
# Portugal and Greece #
#########################
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Italy #
############
pof("OCC_TRAINA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Japan #
############
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA*EMP_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI*EMP_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
###############
# S. Korea #
###############
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI <= FSRADICALITY", data = data_i)
#############
# Finland #
#############
pof("~OCC_TRAINA*FRM_HIERA*~IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*FRM_HIERI*~IFM_RELI <= FSRADICALITY", data = data_i)
##################
# Switzerland #
##################
pof("OCC_TRAINA*EMP_RELA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*EMP_RELI <= FSRADICALITY", data = data_i)
##################
# Denmark #
##################
pof("~OCC_TRAINA*FRM_HIERA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*FRM_HIERI*CORP_GOVI <= FSRADICALITY", data = data_i)
###############################
# Sweden & Netherlands #
###############################
pof("FRM_HIERA*EMP_RELA <= FSRADICALITY", data = data_a)
pof("FRM_HIERI*EMP_RELI <= FSRADICALITY", data = data_i)
##################
# Norway #
##################
pof("~OCC_TRAINA*FRM_HIERA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*FRM_HIERI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
##################
# Belgium #
##################
pof("OCC_TRAINA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
##################
# Germany #
##################
pof("OCC_TRAINA*FRM_HIERA*IFM_RELA*EMP_RELA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*FRM_HIERI*IFM_RELI*EMP_RELI <= FSRADICALITY", data = data_i)
##################
# Austria #
##################
pof("OCC_TRAINA*FRM_HIERA*IFM_RELA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*FRM_HIERI*IFM_RELI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
#########################################
############### 90-20 ###################
#########################################
# get patent counts by country
data9020 %>% dplyr::count(assignee_country)
quantile(data9020$total_radicality, c(.25, .50, .75, .90, .95, .99))
data9020$FSRADICALITY <- calibrate(data9020$total_radicality, type = "fuzzy",
thresholds = "e= 0, c= 125.00 , i=4877.70 ", ecdf = TRUE)
# keep only needed columns
keepsa <- c("FSRADICALITY","CORP_GOVA", "IFM_RELA", "FRM_HIERA", "EMP_RELA",
"OCC_TRAINA")
keepsi <- c("FSRADICALITY", "CORP_GOVI", "IFM_RELI", "FRM_HIERI", "EMP_RELI",
"OCC_TRAINI")
data_a <- data9020[keepsa]
data_i <- data9020[keepsi]
######################
# US configuration #
######################
# assignee
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA*~EMP_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a) # <= denotes necessity, => denotes sufficiency, + = logical OR, * = logical AND ~ = negation
# inventor
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI*~EMP_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
###########################
# UK, Canada, Australia #
###########################
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
##############
# Ireland #
##############
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI <= FSRADICALITY", data = data_i)
##################
# New Zealand #
##################
pof("~OCC_TRAINA*~FRM_HIERA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Spain #
############
pof("~OCC_TRAINA*IFM_RELA*~EMP_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*IFM_RELI*~EMP_RELI <= FSRADICALITY", data = data_i)
############
# France #
############
pof("FRM_HIERA <= FSRADICALITY", data = data_a)
pof("FRM_HIERI <= FSRADICALITY", data = data_i)
#########################
# Portugal and Greece #
#########################
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Italy #
############
pof("OCC_TRAINA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Japan #
############
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA*EMP_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI*EMP_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
###############
# S. Korea #
###############
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI <= FSRADICALITY", data = data_i)
#############
# Finland #
#############
pof("~OCC_TRAINA*FRM_HIERA*~IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*FRM_HIERI*~IFM_RELI <= FSRADICALITY", data = data_i)
##################
# Switzerland #
##################
pof("OCC_TRAINA*EMP_RELA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*EMP_RELI <= FSRADICALITY", data = data_i)
##################
# Denmark #
##################
pof("~OCC_TRAINA*FRM_HIERA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*FRM_HIERI*CORP_GOVI <= FSRADICALITY", data = data_i)
###############################
# Sweden & Netherlands #
###############################
pof("FRM_HIERA*EMP_RELA <= FSRADICALITY", data = data_a)
pof("FRM_HIERI*EMP_RELI <= FSRADICALITY", data = data_i)
##################
# Norway #
##################
pof("~OCC_TRAINA*FRM_HIERA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*FRM_HIERI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
##################
# Belgium #
##################
pof("OCC_TRAINA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
##################
# Germany #
##################
pof("OCC_TRAINA*FRM_HIERA*IFM_RELA*EMP_RELA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*FRM_HIERI*IFM_RELI*EMP_RELI <= FSRADICALITY", data = data_i)
##################
# Austria #
##################
pof("OCC_TRAINA*FRM_HIERA*IFM_RELA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("OCC_TRAINI*FRM_HIERI*IFM_RELI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
##############################################
# #
# citation-based indicators #
# #
##############################################
########################################
##### full period ######
########################################
# get patent counts by country
data %>% dplyr::count(assignee_country)
# get radical patent counts by country
quantile(data$forward_citations, c(.25, .50, .75, .90, .95, .99), na.rm=TRUE)
data$FSRADICALITY <- calibrate(data$u_radicality, type = "fuzzy",
thresholds = "e= 0, c= 1, i= 7", ecdf = TRUE)
keepsa <- c("FSRADICALITY", "CORP_GOVA", "IFM_RELA", "FRM_HIERA", "EMP_RELA",
"OCC_TRAINA")
keepsi <- c("FSRADICALITY", "CORP_GOVI", "IFM_RELI", "FRM_HIERI", "EMP_RELI",
"OCC_TRAINI")
data_a <- data[keepsa]
data_i <- data[keepsi]
######################
# US configuration #
######################
# assignee
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA*~EMP_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a) # <= denotes necessity, => denotes sufficiency, + = logical OR, * = logical AND ~ = negation
# inventor
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI*~EMP_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
###########################
# UK, Canada, Australia #
###########################
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA*~CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI*~CORP_GOVI <= FSRADICALITY", data = data_i)
##############
# Ireland #
##############
pof("~OCC_TRAINA*~FRM_HIERA*~IFM_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*~IFM_RELI <= FSRADICALITY", data = data_i)
##################
# New Zealand #
##################
pof("~OCC_TRAINA*~FRM_HIERA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*CORP_GOVI <= FSRADICALITY", data = data_i)
############
# Spain #
############
pof("~OCC_TRAINA*IFM_RELA*~EMP_RELA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*IFM_RELI*~EMP_RELI <= FSRADICALITY", data = data_i)
############
# France #
############
pof("FRM_HIERA <= FSRADICALITY", data = data_a)
pof("FRM_HIERI <= FSRADICALITY", data = data_i)
#########################
# Portugal and Greece #
#########################
pof("~OCC_TRAINA*~FRM_HIERA*IFM_RELA*EMP_RELA*CORP_GOVA <= FSRADICALITY", data = data_a)
pof("~OCC_TRAINI*~FRM_HIERI*IFM_RELI*EMP_RELI*CORP_GOVI <= FSRADICALITY", data = data_i)
############