nepaldem: Data from Joshi and Mason (2008) on voter turnout in Nepal

Description

Data from a study on the relationship between land tenure and voter turnout in the three rounds of parliamentary elections in Nepal from the restoration of democracy in 1990 to 1999. Data is at the district-level (N = 75). Variable names are taken directly from original dataset. The data is publicly available and has been included here with the endorsement of the authors.

Usage

data(nepaldem)

Arguments

Format

A data frame with 76 rows and 73 variables:

sn: a column of identifiers. This column is not a variable
district: names of the district in Nepal used in analysis
householdsize: average size of household in district
total_holding: total land holding
noown_single_tenure: number of households that own and cultivate land under single tenure
norent_single_ten: number of households that rent for service and cultivate land under single tenure
noother_single_ten: number of households that cultivate under single tenure and have another set up other than those above
nomore1_ten_hold: number of households with more than one tenure
noholding_below1_pa: number of households that hold less than 1.0 hectares of land
noholding_2to3_pa: number of households that hold 2 to 3 hectares of land
noholding_4to5_pa: number of households that hold 4 to 5 hectares of land
noholding_6to9_pa: number of households that hold 6 to 9 hectares of land
noholding_10_pa: number of households with more than 10 parcels of land
total_ha: total hectares of land
total_parcel: total parcels of land
no_hold_fixmoney2: subsection of number of households with fixed cash rent
no_hold_fixproduct2: subsection of households with fixed product rent
no_hold_share2: subsection of households participating in sharecropping
no_hold_services2: subsection of households participating in sharecropping
no_hold_mortgage2: subsection of households with a mortgage
no_hold_fixmoney1: subsection of households with fixed cash rent
no_hold_fixproduct1: subsection of households with fixed product rent
no_hold_share1: subsection of households participating in sharecropping
no_hold_services1: subsection of households with rent for service
no_hold_mortgage1: subsection of households with a mortgage
totalhouseholds: total number of households
landless: number of landless households
totalvoters1991: total number of voters in 1991
totalcastedvote1991: total number of votes cast in 1991
totalvalidvote1991: total number of valid votes in 1991
constituency1991: constituency in 1991
totalcontestants1991: total number of candidates contesting elections in 1991
totalvoters1994: total number of voters in 1994
totalcastedvote1994: total number of votes cast in 1994
totalvalidvote1994: total number of valid votes in 1994
constituency1994: constituency in 1994
totalcontestants1994: total number of candidates contesting elections in 1994
togalvoters1999: total number of voters in 1999
totalcastedvote1999: total number of votes cast in 1999
totalvalidvote1999: total number of valid votes in 1999
constituency1999: constituency in 1999
totalcontestants1999: total number of candidates contesting elections in 1999
pop_2001: population in 2001
hdi_1996: HDI 1996 (index 0 to 1)
per_without_instcredit: percent without access to institutional credit
access_instutional_credit: access to institutional credit
total_hh_sharecrop: total number of households participating in sharecropping
total_hh_fixmoney: total number of households with fixed cash rent
total_hh_fixproduct: total number of households with fixed product rent
total_hh_service: total number of households with rent for service
total_hh_mortgage: total number of households with a mortgage
total_killed: total number of people killed. This serves as a measure of political violence during the insurgency
percent_regvote1991: election turnout for 1991 as measured by the percentage of registered voters who voted in the national parliamentary election
percent_regvote1994: election turnout for 1994 as measured by the percentage of registered voters who voted in the national parliamentary election
percent_regvote1999: election turnout for 1999 as measured by the percentage of registered voters who voted in the national parlimentary election
per_total_hold_sharecrop: percent of sharecropping households
per_total_hold_fixmoney: percent of households that have a fixed cash rent
per_total_hold_fixproduct: percent of households that have a fixed product rent
per_total_hold_service: percent of households that have rent for service
per_total_hold_mortgage: percent of households with a mortgage
per_noholding_below1_pa
landless_1000: landless households (in 1,000s)
totoalkilled_1000: total number of people killed (in 1,000s). This serves as a measure of political violence during the insurgency
cast_eth_fract: caste and ethnic fractionalization
languistic_fract: linguistic fractionalization
landless_gap: landless households (in 1,000s) gap
below1pa_gap: percent smallholder households gap
sharecrop_gap: percent sharecropping households gap
service_gap: percent rent for service households gap
fixmoney_gap: percent fixed cash rent households gap
fixprod_gap: percent fixed product rent households gap
hdi_gap: HDI 1996 (index 0 to 1) gap
ln_pop2001: population in 2001 (logged)
hdi_gap1: HDI 1996 (index 0 to 1) gap (positive values)

References

Joshi, M., & Mason, T. D. (2008). Between democracy and revolution: peasant support for insurgency versus democracy in Nepal. Journal of Peace Research, 45(6), 765-782. 10.1177/0022343308096155

Examples

Run this code

# NOT RUN {
data(nepaldem)

library(MASS)
library(modeLLtest)

# Models from Joshi and Mason (2008)
model_1991 <- rlm(percent_regvote1991 ~ landless_gap +
   below1pa_gap + sharecrop_gap + service_gap + fixmoney_gap +
   fixprod_gap + per_without_instcredit + hdi_gap1 + ln_pop2001 +
   totalcontestants1991 + cast_eth_fract, data = nepaldem)

model_1994 <- rlm(percent_regvote1994 ~ landless_gap +
   below1pa_gap + sharecrop_gap + service_gap + fixmoney_gap +
   fixprod_gap +  per_without_instcredit + hdi_gap1 + ln_pop2001 +
   totalcontestants1994 + cast_eth_fract, data = nepaldem)

model_1999a <- rlm(percent_regvote1999 ~ landless_gap +
   below1pa_gap + sharecrop_gap + service_gap + fixmoney_gap +
   fixprod_gap + per_without_instcredit + hdi_gap1 + ln_pop2001 +
   totalcontestants1999 + cast_eth_fract, data = nepaldem)

model_1999b <- rlm(percent_regvote1999 ~ landless_gap +
   below1pa_gap + sharecrop_gap + service_gap + fixmoney_gap +
   fixprod_gap + per_without_instcredit + totoalkilled_1000 +
   hdi_gap1 + ln_pop2001 + totalcontestants1999 + cast_eth_fract,
   data = nepaldem)

# Comparing OLS to RR fit for model_1999b
obj_cvdm_jm <- cvdm(percent_regvote1999 ~ landless_gap +
   below1pa_gap + sharecrop_gap + service_gap + fixmoney_gap +
   fixprod_gap + per_without_instcredit + totoalkilled_1000 +
   hdi_gap1 + ln_pop2001 + totalcontestants1999 + cast_eth_fract,
   data = nepaldem, method1 = "OLS", method2 = "RLM-MM")

obj_cvdm_jm

# }

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