cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/sapqys/iuikst
title: cleaned_dwnominate_with_biographical_by_session.dta
DOI: 10.7910/dvn/sapqys/vjcojm
title: got_21_262.tab
DOI: 10.7910/dvn/sapqys/xsjcxd
title: approp_33withdistrict.tab
DOI: 10.5517/ccdc.csd.cc1pzcz0
title: CCDC 1578333: Experimental Crystal Structure Determination

description: Related Article: Federico A. Rabuffetti and Leopoldo Suescun|2018|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20k28y
title: CCDC 1863449: Experimental Crystal Structure Determination

description: Related Article: Federico A. Rabuffetti, Leopoldo Suescun, and Hashini N. Munasinghe|2018|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.7910/dvn/sapqys/40dbdw
title: analysis_of_41_588.tab
DOI: 10.7910/dvn/sapqys/dlw0ms
title: approp_03withdistrict.tab
DOI: 10.7910/dvn/sapqys/dplz5c
title: approp_06withdistrict.tab
DOI: 10.7910/dvn/sapqys/ffwsw4
title: input_rivers_and_bays.csv
DOI: 10.7910/dvn/sapqys/gnamjr
title: approp_08withdistrict.tab
DOI: 10.7910/dvn/sapqys/kti8j2
title: districts036.zip
DOI: 10.7910/dvn/sapqys/odk85o
title: approp_26withdistrict.tab
DOI: 10.7910/dvn/sapqys/tpctfe
title: approp_20withdistrict.tab
DOI: 10.7910/dvn/sapqys/vpdxdi
title: approp_16withdistrict.tab
DOI: 10.7910/dvn/lupim3/rwmzcb
title: Heparin_Dataset.txt
DOI: 10.7910/dvn/lupim3/uqilbo
title: Description_for_Datasets.docx
DOI: 10.7910/dvn/sapqys/aufwkp
title: input_roads_and_canals.tab
DOI: 10.7910/dvn/sapqys/f3afrb
title: hou23kh.dta
DOI: 10.7910/dvn/sapqys/k2xr36
title: analysis_of_24_457.tab
DOI: 10.7910/dvn/sapqys/kuvuf2
title: analysis_of_44_66.tab
DOI: 10.7910/dvn/sapqys/lzs49f
title: districts023.zip
DOI: 10.7910/dvn/sapqys/pnirg9
title: districts027.zip
DOI: 10.7910/dvn/sapqys/ri42pg
title: input_harbors.tab
DOI: 10.7910/dvn/sapqys/sldn6b
title: gmp.pdf
DOI: 10.7910/dvn/sapqys/whkfwo
title: hou19kh.dta
DOI: 10.7910/dvn/zio43m/pkizav
title: data.zip
DOI: 10.7910/dvn/eugqdu/nzrdom
title: readme
DOI: 10.7910/dvn/sapqys/1yzfvv
title: approp_11withdistrict.tab
DOI: 10.7910/dvn/sapqys/8gojmn
title: fraction_new_starts.pdf
DOI: 10.7910/dvn/sapqys/deo63z
title: Figure 1.pdf
DOI: 10.7910/dvn/sapqys/eu46se
title: got_43_148.tab
DOI: 10.7910/dvn/sapqys/oas33m
title: voting_regression_no_in_majority.pdf
DOI: 10.7910/dvn/sapqys/ov3dsq
title: approp_31withdistrict.tab
DOI: 10.7910/dvn/sapqys/r0j6vs
title: approp_21withdistrict.tab
DOI: 10.7910/dvn/sapqys/w1qdab
title: hou31kh.dta
DOI: 10.7910/dvn/sapqys/wiadtx
title: districts041.zip
DOI: 10.7910/dvn/sapqys/9tmh0y
title: Conduct all coding and analysis.do
DOI: 10.7910/dvn/sapqys/a3mcwi
title: approp_44withdistrict.tab
DOI: 10.7910/dvn/sapqys/bxpsp4
title: districts024.zip
DOI: 10.7910/dvn/sapqys/d1bxww
title: input_lighthouses_beacons_buoys.tab
DOI: 10.7910/dvn/sapqys/eejtfo
title: approp_39withdistrict.tab
DOI: 10.7910/dvn/sapqys/krx3gq
title: got_46_267.tab
DOI: 10.7910/dvn/sapqys/lp8yh6
title: got_46_325.tab
DOI: 10.7910/dvn/sapqys/ph8dhr
title: legislator_beneficiaries_by_session.dta
DOI: 10.7910/dvn/sapqys/rhlgme
title: analysis_of_36_234_par.tab
DOI: 10.7910/dvn/yu5jpq/yumpwy
title: replication.bz2
DOI: 10.7910/dvn/zpj5vx/6j36gu
title: Manual de Usuario 2.1.pdf
DOI: 10.7910/dvn/zpj5vx/kwpjqh
title: ENACOES_2014_V4.tab
DOI: 10.7910/dvn/sapqys/8snvd2
title: session_duration.dta
DOI: 10.7910/dvn/sapqys/anrvqq
title: input_public_buildings.tab
DOI: 10.7910/dvn/sapqys/atg8uy
title: analysis_of_45_326.tab
DOI: 10.7910/dvn/sapqys/elyfjf
title: approp_22withdistrict.tab
DOI: 10.7910/dvn/sapqys/jhuomg
title: approp_01withdistrict.tab
DOI: 10.7910/dvn/sapqys/obdmm3
title: parametric_externalities.R
DOI: 10.7910/dvn/sapqys/smulvn
title: approp_46withdistrict.tab
DOI: 10.7910/dvn/sapqys/wrsdik
title: got_29_601.tab
DOI: 10.7910/dvn/sapqys/zybyzw
title: approp_27withdistrict.tab
DOI: 10.7910/dvn/yu5jpq/xlrykf
title: processed-data.bz2
DOI: 10.7910/dvn/sapqys/ewhas7
title: Assemble spatially joined appropriations data.do
DOI: 10.7910/dvn/sapqys/jvuaji
title: analysis_of_29_601.tab
DOI: 10.7910/dvn/sapqys/l4g2ze
title: approp_10withdistrict.tab
DOI: 10.7910/dvn/sapqys/nckbqj
title: got_46_376.tab
DOI: 10.7910/dvn/sapqys/trjnpe
title: approp_12withdistrict.tab
DOI: 10.7910/dvn/sapqys/uyls7r
title: hst0179.tab
DOI: 10.7910/dvn/sapqys/xgqghz
title: table2.tex
DOI: 10.7910/dvn/sapqys/ynltwg
title: analysis_of_35_340_par.tab
DOI: 10.7910/dvn/sapqys/12c2xj
title: analysis_of_43_148_par.tab
DOI: 10.7910/dvn/sapqys/1my568
title: got_31_412.tab
DOI: 10.7910/dvn/sapqys/acze30
title: got_27_764.tab
DOI: 10.7910/dvn/sapqys/cecdls
title: hst0137.tab
DOI: 10.7910/dvn/sapqys/l6oqet
title: analysis_of_43_397.tab
DOI: 10.7910/dvn/sapqys/n02w8x
title: approp_07withdistrict.tab
DOI: 10.7910/dvn/sapqys/ozlwee
title: got_25_326.tab
DOI: 10.7910/dvn/sapqys/uk8wd4
title: got_35_340.tab
DOI: 10.7910/dvn/sapqys/wzztux
title: approp_35withdistrict.tab
DOI: 10.7910/dvn/sapqys/9mzuko
title: approp_36withdistrict.tab
DOI: 10.7910/dvn/sapqys/c76duo
title: hou46kh.dta
DOI: 10.7910/dvn/sapqys/hfnc98
title: analysis_of_31_426.tab
DOI: 10.7910/dvn/sapqys/jaar6d
title: analysis_of_43_148.tab
DOI: 10.7910/dvn/sapqys/lzmhrn
title: got_31_426.tab
DOI: 10.7910/dvn/sapqys/nv3yr9
title: session_last_days.dta
DOI: 10.7910/dvn/sapqys/rcxp1e
title: hst3879.cb.txt
DOI: 10.7910/dvn/sapqys/xmgj4j
title: districts045.qpj
DOI: 10.7910/dvn/sapqys/ysi1px
title: approp_15withdistrict.tab
DOI: 10.7910/dvn/ytnidu/e4syrf
title: 0.Disclaimer.pdf
DOI: 10.7910/dvn/sapqys/6dcfap
title: analysis_of_33_406.tab
DOI: 10.7910/dvn/sapqys/6iukeq
title: districts029.zip
DOI: 10.7910/dvn/sapqys/avp1bu
title: analysis_of_43_397_par.tab
DOI: 10.7910/dvn/sapqys/bysrea
title: .Rhistory
DOI: 10.7910/dvn/sapqys/d2s8uf
title: analysis_of_29_601_par.tab
DOI: 10.7910/dvn/sapqys/gzd4hk
title: member_names.tab
DOI: 10.7910/dvn/sapqys/llxu4f
title: districts043.zip
DOI: 10.7910/dvn/sapqys/ptmjmu
title: approp_24withdistrict.tab
DOI: 10.7910/dvn/sapqys/zwgxq2
title: approp_37withdistrict.tab
DOI: 10.7910/dvn/sapqys/1ejoac
title: analysis_of_31_412_par.tab
DOI: 10.7910/dvn/sapqys/b33qzv
title: hou43kh.dta
DOI: 10.7910/dvn/sapqys/gbq7nb
title: congress_1840_1879.tab
DOI: 10.7910/dvn/sapqys/h6w6yi
title: analysis_of_41_588_par.tab
DOI: 10.7910/dvn/sapqys/jkgeit
title: hou36kh.dta
DOI: 10.7910/dvn/sapqys/o48hs6
title: analysis_of_44_66_par.tab
DOI: 10.7910/dvn/sapqys/q3dh8t
title: approp_34withdistrict.tab
DOI: 10.7910/dvn/sapqys/us7dno
title: approp_09withdistrict.tab
DOI: 10.7910/dvn/sapqys/vijzqr
title: approp_25withdistrict.tab
DOI: 10.7910/dvn/xteeki/v1hawy
title: ACS_1216_TRACT.tab
DOI: 10.7910/dvn/sapqys/4qcmi4
title: approp_40withdistrict.tab
DOI: 10.7910/dvn/sapqys/7k5u6m
title: analysis_of_27_764.tab
DOI: 10.7910/dvn/sapqys/akho1w
title: approp_43withdistrict.tab
DOI: 10.7910/dvn/sapqys/qfj1vg
title: districts025.zip
DOI: 10.7910/dvn/sapqys/tlgnvm
title: input_mints_and_assay_offices.tab
DOI: 10.7910/dvn/sapqys/w5mocz
title: hou24kh.dta
DOI: 10.7910/dvn/sapqys/ww8fip
title: analysis_of_45_326_par.tab
DOI: 10.7910/dvn/sapqys/ynxkyy
title: districts021.zip
DOI: 10.7910/dvn/pt8mh0/6ze6fc
title: AgBioMarketQuestionnaire_Uganda.xlsx
DOI: 10.7910/dvn/pt8mh0/c62tu2
title: AgBioMarketQuestionnaire_Ethiopia.xlsx
DOI: 10.7910/dvn/pt8mh0/mbhpt6
title: MarketDataUganda.7z
DOI: 10.7910/dvn/pt8mh0/tszszm
title: MarketDataEthiopia.7z
DOI: 10.7910/dvn/sapqys/6y7vuw
title: analysis_of_27_764_par.tab
DOI: 10.7910/dvn/sapqys/9lcw6w
title: approp_13withdistrict.tab
DOI: 10.7910/dvn/sapqys/abkfux
title: analysis_of_33_406_par.tab
DOI: 10.7910/dvn/sapqys/c3rfkm
title: approp_17withdistrict.tab
DOI: 10.7910/dvn/sapqys/fabbl7
title: approp_29withdistrict.tab
DOI: 10.7910/dvn/sapqys/hufujb
title: Committees to which referred.tab
DOI: 10.7910/dvn/sapqys/u4ierm
title: approp_18withdistrict.tab
DOI: 10.7910/dvn/sapqys/v3vyb3
title: state_election_days.tab
DOI: 10.7910/dvn/sapqys/xkbz7t
title: analysis_of_31_426_par.tab
DOI: 10.7910/dvn/zio43m/fzvcmi
title: Githinji_2018_Variant_Calling_Tools_Readme.txt
DOI: 10.7910/dvn/zio43m/g9iojx
title: Githinji_2018_intercaller_concordance1.R
DOI: 10.7910/dvn/zio43m/ipehx6
title: Githinji_2018_performance_profiles.R
DOI: 10.7910/dvn/zio43m/tcmvdf
title: Githinji_2018_Variant_Calling_Tools_Readme.txt
DOI: 10.7910/dvn/otwch7/qyickb
title: youthparent.dta
DOI: 10.7910/dvn/otwch7/ri1sko
title: youthparent analyses.do
DOI: 10.7910/dvn/pt8mh0/uyiwu6
title: MarketSurveyQuestionnaireModified.docx
DOI: 10.7910/dvn/sapqys/8dvaxu
title: approp_32withdistrict.tab
DOI: 10.7910/dvn/sapqys/ejvhus
title: analysis_of_46_325.tab
DOI: 10.7910/dvn/sapqys/ga3lif
title: districts046.zip
DOI: 10.7910/dvn/sapqys/kr5d7p
title: approp_23withdistrict.tab
DOI: 10.7910/dvn/sapqys/mjiyzk
title: hc01113d21_PRES_PRE_DATES.tab
DOI: 10.7910/dvn/sapqys/ml91ca
title: analysis_of_30_175_par.tab
DOI: 10.7910/dvn/sapqys/ndce73
title: analysis_of_31_412.tab
DOI: 10.7910/dvn/sapqys/pp5egu
title: working_appropriations_by_cd_and_session.dta
DOI: 10.7910/dvn/sapqys/z4nhbm
title: analysis_of_36_234.tab
DOI: 10.7910/dvn/x8pt3j/ls91u5
title: Focus Group Discussion guide AG -Final.docx
DOI: 10.7910/dvn/zio43m/edkn7r
title: Githinji_2018_variant.list.tab
DOI: 10.7910/dvn/zio43m/qbryul
title: Githinji_2018_upset_plots.R
DOI: 10.7910/dvn/zio43m/tbxlxe
title: Githinji_2018_reference_in_column.tab
DOI: 10.7910/dvn/sapqys/9rmwbc
title: approp_42withdistrict.tab
DOI: 10.7910/dvn/sapqys/fb17r3
title: districts019.zip
DOI: 10.7910/dvn/sapqys/g6ar6o
title: got_36_234.tab
DOI: 10.7910/dvn/sapqys/kqp0y1
title: hst0137.dat
DOI: 10.7910/dvn/sapqys/tq5cpf
title: approp_41withdistrict.tab
DOI: 10.7910/dvn/sapqys/xlrnib
title: approp_47withdistrict.tab
DOI: 10.7910/dvn/sapqys/znwjhb
title: analysis_of_46_325_par.tab
DOI: 10.7910/dvn/sapqys/zsjuzd
title: got_30_175.tab
DOI: 10.7910/dvn/fdsxmr/eu3bnc
title: appendix_missing values.do
DOI: 10.7910/dvn/h6sor6/aypjbt
title: SSPA report 04final.pdf
DOI: 10.7910/dvn/sapqys/bkzazz
title: common_space_dwnominate.tab
DOI: 10.7910/dvn/sapqys/hvi3w7
title: hou30kh.dta
DOI: 10.7910/dvn/sapqys/hvnla2
title: hou35kh.dta
DOI: 10.7910/dvn/sapqys/hzh6qy
title: Create additional datasets for analysis.do
DOI: 10.7910/dvn/sapqys/i5uj8d
title: got_41_588.tab
DOI: 10.7910/dvn/sapqys/l3bgxa
title: approp_14withdistrict.tab
DOI: 10.7910/dvn/sapqys/oykkqc
title: hou27kh.dta
DOI: 10.7910/dvn/sapqys/qk2own
title: hou41kh.dta
DOI: 10.7910/dvn/sapqys/ugm7jr
title: hst0137.cb.txt
DOI: 10.7910/dvn/w7hiyg/mkhx7f
title: Bearce Connell pre-registration.docx
DOI: 10.7910/dvn/jwmcxy/a5ygfq
title: 060_cover_m_clean.tab
DOI: 10.7910/dvn/jwmcxy/shmcm2
title: 009_cover_f_clean.tab
DOI: 10.7910/dvn/sapqys/5c2y6w
title: got_44_66.tab
DOI: 10.7910/dvn/sapqys/dcl9tt
title: voting_regression.pdf
DOI: 10.7910/dvn/sapqys/h6axl8
title: districts031.zip
DOI: 10.7910/dvn/sapqys/nmsz06
title: hou44kh.dta
DOI: 10.7910/dvn/sapqys/rdsk3e
title: got_21_249.tab
DOI: 10.7910/dvn/sapqys/uucs81
title: got_19_105.tab
DOI: 10.7910/dvn/sapqys/uxigbe
title: got_33_406.tab
DOI: 10.7910/dvn/sapqys/wwfxad
title: got_45_326.tab
DOI: 10.7910/dvn/sapqys/xxh8ou
title: approp_38withdistrict.tab
DOI: 10.7910/dvn/uxp0cy/xirfpc
title: Create Final Unweighted_Bayes Files for CT and CBG.R
DOI: 10.7910/dvn/sapqys/0jls10
title: working_data_for_regressions.dta
DOI: 10.7910/dvn/sapqys/76uydd
title: analysis_of_24_457_par.tab
DOI: 10.7910/dvn/sapqys/b4mxab
title: analysis_of_30_175.tab
DOI: 10.7910/dvn/sapqys/dd5jkd
title: districts045.zip
DOI: 10.7910/dvn/sapqys/fhndzw
title: hst3879.dat
DOI: 10.7910/dvn/sapqys/hg5onn
title: analysis_of_46_376.tab
DOI: 10.7910/dvn/sapqys/hzdelh
title: table2.txt
DOI: 10.7910/dvn/sapqys/l8h6zp
title: hou21kh.dta
DOI: 10.7910/dvn/sapqys/tcr54h
title: approp_02withdistrict.tab
DOI: 10.7910/dvn/sapqys/vjv903
title: analysis_of_25_326.tab
DOI: 10.3886/e101244v2
title: Measuring Democratic Performance: A Multidimensional Approach

description: This article constructs the Democratic Performance
Index (DPI) as a new measure of democratic quality covering 69 existing
democracies over the period from 1990 to 2012. This index contains eight core
dimensions of democracy: individual liberties, rule of law, public sphere,
transparency, participation, representation, competition, and mutual
constraints, which have been extracted from the democracy literature. To this
end, first, this paper reviews previous attempts to conceptualize and measure
the quality of democracy; second, democratic performance is defined under a
middle-range conception of democracy that avoids both minimalist and maximalist
approaches, in conjunction with a multidimensional
framework. There is no doubt that
democracy is multifaceted, but theoretical grounds are not yet enough to
combine all the dimensions into a summary measure of democracy. Thus, this
inquiry stops aggregating indicators at the level of distinguishable dimensions
and preserves information about systematic variation of underlying
dimensionality. The DPI is better
suited than other measures of democracy for exploring existing democracies not
only because it can capture subtle differences among democracies across various
dimensions, but also because it overcomes several important issues of
conceptualization and measurement embedded in the previous measures.
description: 69 existing democracies: 30 core countries and 39 non-core countriesSmallest Geographic Unit: country
DOI: 10.7910/dvn/sapqys/d9gn9p
title: unique_district_geography.tab
DOI: 10.7910/dvn/sapqys/emmadm
title: analysis_of_25_326_par.tab
DOI: 10.7910/dvn/sapqys/olgfwz
title: approp_30withdistrict.tab
DOI: 10.7910/dvn/sapqys/osdnnx
title: hou33kh.dta
DOI: 10.7910/dvn/sapqys/vzxvxu
title: Figure 3.pdf
DOI: 10.7910/dvn/sapqys/yb97mi
title: Assemble and clean legislator data.do
DOI: 10.7910/dvn/mdfg8e/jblr0v
title: ISQ Keynesianism and Great Recession Symposium.pdf
DOI: 10.7910/dvn/zhcuuu/odt57p
title: BNS_2008-10_Combined_by_Block_Group.tab
DOI: 10.7910/dvn/zhcuuu/x1vltk
title: g2008_brexit_count_polys.zip
DOI: 10.7910/dvn/ajz7rp/0sxjdm
title: 003_retailerSurveyVeg_A.tab
DOI: 10.7910/dvn/dachkp/30jzzz
title: Local Parliament Project 2015 Canadian Election Survey codebook.pdf
DOI: 10.7910/dvn/lllove/shdnlp
title: qualtrics_UTF.tab

description: This is the raw data as downloaded from qualtrics (the platform we used to get the contribution amount from the workers). It seems that by chance, two people got the same mTurkCode of '6885935', so we changed one manually to '6885936'. we also needed to fix the UTF format of the file using 'iconv -f utf-8 -t utf-8 -c qualtrics_raw.csv &gt; qualtrics_UTF.csv' in the terminal.
DOI: 10.7910/dvn/mdfg8e/gaffm4
title: ISQ Keynesianism and Great Recession Symposium.pages
DOI: 10.7910/dvn/mdfg8e/oo7d6s
title: ISQ Keynesianism and Great Recession Symposium.pdf
DOI: 10.7910/dvn/zhcuuu/ss4fyq
title: tweets_10am_6_24_2016_brexit.tab
DOI: 10.7910/dvn/1yus0i/coya1d
title: Ethiopia Ag Bio Nutrition Baseline Data.7z
DOI: 10.7910/dvn/1yus0i/pmwcds
title: Disclaimer.pdf
DOI: 10.7910/dvn/1yus0i/rvb2uj
title: Uganda Ag Bio Nutrition Data.7z
DOI: 10.7910/dvn/cax5b9/wgk2pz
title: UgandaMapFinal.pdf
DOI: 10.7910/dvn/lllove/delzhf
title: full_data_preparation.ipynb

description: This Jupyter Notebook takes the raw data file "qualtrics_UTF.csv" and produces the cleaned data file "data.csv" that is ready for analysis.
DOI: 10.7910/dvn/lllove/jzltmf
title: data.csv

description: This is the cleaned version of the data file and was used for all of the analyses.
DOI: 10.7910/dvn/lllove/lg23nz
title: quantitative_analysis.ipynb

description: This Jupyter Notebook reads the cleaned data from "data.csv" and conducts all of the primary analysis, across conditions comparisons, and compute p-values
DOI: 10.7910/dvn/lllove/wrhujt
title: treatment_interaction.R

description: This is an R file that uses the Causal Tree implementation found here: https://github.com/susanathey/causalTree
DOI: 10.7910/dvn/ujrdig/ci7awg
title: Uganda Baseline Data.7z
DOI: 10.7910/dvn/ujrdig/fbm1cf
title: Ethiopia Baseline Data.7z
DOI: 10.7910/dvn/ujrdig/qgc2cc
title: Disclaimer.pdf
DOI: 10.3886/e101245v2
title: The Redistribution Hypothesis Revisited with Perceived Inequality

description: It is a long-standing puzzle whether changes
in economic inequality lead to changes in redistribution. However, there has
been a lack of conclusive evidence about this relationship. Moreover,
redistributive preferences as an intervening factor between inequality and
redistribution, which are taken for granted implicitly or explicitly in
redistribution theories, have been largely overlooked in the analysis.
Meanwhile, recent comparative studies of inequality and redistribution started
paying attention to inequality perceptions that deviate from actual inequality.
Thus, this inquiry aims to reconstruct the classical redistribution theory by
employing perceived inequality and preferences for redistribution and test the
reformulated redistribution hypotheses. One of the most challenging efforts for
the analysis is to develop a country-level measure of perceived inequality. To
this end, the Gini coefficient of perceived social position (perceived Gini) is
first invented by using the International Social Survey Programme (ISSP) data,
which covers 33 OECD countries over the period from 1987 to 2016. The empirical
results show robust evidence that perceived inequality, not actual inequality,
is significantly associated with redistributive preferences, while preferences
for redistribution do not translate into any type of redistribution.
description: 33 OECD countriesSmallest Geographic Unit: country
DOI: 10.7910/dvn/3j8vca/qhkw3s
title: AgBioHHFarmQuestionnaire_Ethiopia.xlsx
DOI: 10.7910/dvn/3j8vca/txvxpx
title: Disclaimer.pdf
DOI: 10.7910/dvn/3j8vca/xu3j3m
title: AgBioHHFarmQuestionnaire_Uganda.xlsx
DOI: 10.7910/dvn/3wmmzu/awqyoq
title: AgBiodiversityNutritionConsumption_Uganda.xlsx
DOI: 10.7910/dvn/3wmmzu/brxbct
title: AgBiodiversityNutritionConsumption_Ethiopia.xlsx
DOI: 10.7910/dvn/3wmmzu/c7ddiw
title: Disclaimer.pdf
DOI: 10.7910/dvn/cax5b9/byshbi
title: Disclaimer.pdf
DOI: 10.7910/dvn/cax5b9/jd6tkv
title: EthiopiaMapFinal.pdf
DOI: 10.7910/dvn/v7ib2y/izcyba
title: Regression_Dataverse.xlsx
DOI: 10.3886/e101258v2
title: Individuals' Social Position, Inequality Perceptions, and Redistributive Preferences

description: The standard model of redistribution posits
that attitudes towards redistribution are driven by economic self-interest.
From a social psychological perspective, however, subjective social status
rather than material wealth is relevant basis for self-interest that is closely
associated with policy preferences. This inquiry compares these two different
approaches and further explores the role of individuals’ inequality perceptions
including perceptions of inequality norms, which researchers have paid little attention
to, in shaping individual preferences for redistribution. For the empirical
analysis, the new measures of perceived actual inequality, perceived normative
inequality, and perceived injustice have been developed with the aim to
overcome the limitations of the existing measures of perceived inequality. The
International Social Survey Programme (ISSP) micro-data are used to create the
measures, which cover 31 OECD countries over the four waves: 1987, 1992, 1999,
and 2009. The empirical evidence shows that the effect of subjective social
position is stronger than that of objective income position in determining
redistributive preferences. The current findings also demonstrate that
individuals’ inequality norms play a more crucial role in preference formation
than does their perception of actual inequality, which sheds new light on
another facet of inequality perceptions at the individual level.
description: 31 OECD countriesSmallest Geographic Unit: country
DOI: 10.7910/dvn/unju3n/gpc33o
title: info_wanted_codebook.docx
DOI: 10.7910/dvn/wjgcaa/ovsykb
title: GFPR_2018_SPEED_data.xls
DOI: 10.7910/dvn/knwkiv/qoh9ss
title: Data Appendix.pdf
DOI: 10.7910/dvn/knwkiv/uumckj
title: Data Appendix.html
DOI: 10.7910/dvn/knwkiv/x1qcay
title: Data Appendix.md
DOI: 10.7910/dvn/a0hhdi/rt0zxp
title: DataFest_2018_WorldMap.pptx
DOI: 10.7910/dvn/r33rs9/dimwjs
title: Dataverse_Introduction.txt
DOI: 10.7910/dvn/a0hhdi/ubjvyq
title: BNS_2008-10_Combined_by_Block_Group.tab
DOI: 10.7910/dvn/a0hhdi/5hgwry
title: BNS_2008-10_Combined_by_Block_Group.tab
DOI: 10.7910/dvn/yaghta/1r7xij
title: table2.do
DOI: 10.7910/dvn/yaghta/1uzc4v
title: jop_replication12.tab
DOI: 10.7910/dvn/yaghta/f1vka9
title: table1.do
DOI: 10.7910/dvn/yaghta/pwrrqd
title: figures.do
DOI: 10.7910/dvn/a0hhdi/sol5m5
title: ACS_BLKGRP_test.tab
DOI: 10.7910/dvn/cho7l8/3hxgzr
title: Appendix.pdf
DOI: 10.7910/dvn/wxewwu/h6r2e1
title: Chapter5Master.r
DOI: 10.7910/dvn/wxewwu/xg4zqz
title: README.txt
DOI: 10.5517/ccdc.csd.cc20k2c1
title: CCDC 1863452: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Effendy, Allan H. White|2018|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2037ft
title: CCDC 1850155: Experimental Crystal Structure Determination

description: Related Article: Andrew L. Clevenger, Ryan M. Stolley, Nicholas D. Staudaher, Noman Al, Arnold L. Rheingold, Ryan T. Vanderlinden, Janis Louie|2018|Organometallics|37|3259|doi:10.1021/acs.organomet.8b00438
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2037gv
title: CCDC 1850156: Experimental Crystal Structure Determination

description: Related Article: Andrew L. Clevenger, Ryan M. Stolley, Nicholas D. Staudaher, Noman Al, Arnold L. Rheingold, Ryan T. Vanderlinden, Janis Louie|2018|Organometallics|37|3259|doi:10.1021/acs.organomet.8b00438
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2037hw
title: CCDC 1850157: Experimental Crystal Structure Determination

description: Related Article: Andrew L. Clevenger, Ryan M. Stolley, Nicholas D. Staudaher, Noman Al, Arnold L. Rheingold, Ryan T. Vanderlinden, Janis Louie|2018|Organometallics|37|3259|doi:10.1021/acs.organomet.8b00438
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.