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Supporting data and python and R scripts for the menu project, as documentation for the paper.
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Do minority voters respond to co-racial or co-ethnic candidates? That is does the increased chance of substantive representation translate into increased participation? Here, we focus on this question among African American voters. While much of the empirical literature on this question has produced conflicting answers, recent studies suggest that minority candidates can significantly increase minority turnout. We argue that past work on this topic does not adequately account for the fact that minority voters in places with minority candidates may systematically differ in their level of participation than minority voters in places without minority candidates. In this study we address the weakness of previous research designs and offer a new design that exploits the redistricting process to gain additional leverage over this question. The redistricting process allows us to correctly model the selection process and ensure that voters who were moved to districts with African American candidates through the redistricting process are comparable to voters that remained in existing districts with white candidates. We find little evidence that African American voter turnout increases when voters are moved to African America candidates. We find some evidence that white voters, however, tend to vote at lower rates when they are represented by African American candidates.
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Review of Economics and Statistics: Forthcoming
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The Schlegel, Finkbeiner & Davis map of interstellar dust. ApJ 500, 525
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The datasets presented here enable historical longitudinal studies of micro-level geographic factors in a rural setting. These types of datasets are new, as historical demography studies have generally failed to properly include the micro-level geographic factors. Our datasets describe the geography over five Swedish rural parishes and a geocoded population (at the property unit level) for this area for the time period 1813-1914. The population is a subset of the Scanian Economic Demographic Database (SEDD). The geographic information includes the following feature types: property units, wetlands, buildings, roads and railroads. The property units and wetlands are stored in object-lifeline time representations (information about creation, changes and ends of objects are recorded in time), whereas the other feature types are stored as snapshots in time. Thus, the datasets present one of the first opportunities to study historical spatio-temporal patterns at the micro-level.
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Fishnet, Lake Victoria, vector polygon, ~2015 Reference Information and Units: GCS: WGS 1984 (http://spatialreference.org/) Projection: ESRI:102024 (http://spatialreference.org/) Pixel Size: NA Units: NA File Naming Convention: Fishnet_Poly.shp Data Origin: Developed at Salisbury University Sensor: NA Code: NA Data Development/Processing: Data was developed within ArcGIS.
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Dyadic effects to a large extent account for the difficulty of explaining and predicting international conflict. In this study, I derive a statistical model to estimate unobserved dyadic effects in the dyadic analysis of conflict. The proposed model employs a hierarchical modeling approach to estimate dyadic effects, thereby avoiding the problems caused by the use of fixed effects models. Furthermore, it simultaneously addresses the important sample selection issue of identifying relevant dyads. I show that the estimation of dyadic effects significantly improves the model fit and generates several interesting findings. Substantively, this study makes an important contribution to the empirical evaluation of the Kantian peace. It argues that international organizations increase the likelihood of conflict of interest between member states but reduce the probability of militarized conflict. I demonstrate that the positive coefficient of international organizations in Oneal and Russett (1999) is biased in the positive direction. When the proposed statistical model is used, international organizations, together with trade and democracy, reduce the probability of conflict.
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This study consists of sex-disaggregated data and other related materials generated as part of the Sentinel Landscapes Network household survey baseline in West Africa sentinel site in Burkina Faso. A total of 600 households were surveyed between October and November 2013 from 28 villages namely: Sakou, Nongsom, Temnaoré, Bogoname, Loaga, Badinogo2, Rambo Watinooma, Bam, Sam, kouka, Dao, Diao, Gao, Kassolo, Cassou, Bongnounou, Pro, Tiabona, Yinga, Vrassan, Kou, Lerou, Lon, Lué, Pani, Passin, Mao-Nassira, Tékourou. The data consists of information on household demographics, migration, education, asset ownership, income sources, household food security, progress out of poverty, crop production and sales, livestock products, participation in credit markets, social networks, and natural resource use. In compliance with the CGIAR protocol on collecting sex-disaggregated data, approximately 50% of the respondents interviewed were women. Before downloading any of the files, particularly the data files, please download and read the ’Sentinel Landscapes Network Disclaimer and Terms of Use’.
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Dataset and code for Science Policy Forum submission: "Growing pains for global monitoring of societal events: Automated event coding raises promise and concerns"
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This study consists of sex-disaggregated data and other related materials generated as part of the Sentinel Landscapes Network household survey baseline in Westen Ghats sentinel site in India. A total of 1109 households were surveyed between July & September 2014 and April to July 2015 from 62 villages namely: Bellatha, Buthani, Dasanahundi, Hondarabalu, K.Devarahalli, Kuntugudi, Malladevanahallu, Shanivaramunti, Vodagere, Yerakanagadde Colony, Avandur, Benguru, Bettageri Bakka, Bettathur, Kaloor, Kolagadalu Paka, Kopatti, Kuranabane, Kuyyangeri, Vanachala, Glenmorgan, Thottalingi, Thakkal, Kovilpatti, Kurumbarpalayam, Kurumbarpadi, Moolakadu, Kozhikolli, Kodamula, Kadachanakolli, Theppakadu, Kamrajnagar, Kurunjinagar, Ellamalai, Puthurvayal, Ponkuzhi , Manmadhamoola, Athikkuny , Cherumoola, Alathoor , Kallumukku, Melemoola , Kuzhimoola, Rampalli, Veluthondi, Marukara , Kavumkarakunnu, Chappakolly, Karuvattimoola, Pallivayal, Kottanottu, Karissery , Choorikuni, Kumbarankolli, Kozhimoola, Pambaramoola, Chettiyalathoor, Odappalam , Valluvady , Anappandhi, Anappandhi2, Chettipampra. The data consists of information on household demographics, migration, education, asset ownership, income sources, household food security, progress out of poverty, crop production and sales, livestock products, participation in credit markets, social networks, and natural resource use. In compliance with the CGIAR protocol on collecting sex-disaggregated data, approximately 50% of the respondents interviewed were women. Before downloading any of the files, particularly the data files, please download and read the ’Sentinel Landscapes Network Disclaimer and Terms of Use’.
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