Contributors: Mark Henderson
... The 1904-07 Prussian maps show the footprints of settlements including the outlines of city walls. Small areas around each capital in the ChinaW file were clipped from the georeferenced maps. Filenames contain the ChinaW ID number for each city.
Contributors: Schutte, Sebastian
... A method for predicting conflict zones in civil wars based on point process models is presented in this paper. Instead of testing the validity of specific theoretical conjectures about the determinants of violence in a causal framework, this paper builds on classic literature and a wide body of recent studies to predict conflict zones based on a series of geographic conditions. Using an innovative cross-validation design, the study shows that the quantitative research program on the micro-foundations of violence in civil conflict has crafted generalizable insights permitting out-of-sample predictions of conflict zones. The study region is delimited to 10 countries in Sub-Saharan Africa that experienced full-blown insurgencies in the post-Cold War era.
Contributors: Gorodnichenko, Yuriy, Roland, Gerard
... Review of Economics and Statistics: Forthcoming
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Contributors: Berman, Lex
... The GIST project was a web-based application for merging KML files created with GoogleEarth into a MySQL database. Once parsed into the database, placemarks submitted by multiple users could be searched, aggregrated and downloaded. The project build on KML spec versions 1.0 and 1.1. The codebase was not updated beginning with KML version 2.0 and is being stored here for archival purposes.
Replication Data for: "The Spatial Dimensions of State Fiscal Capacity: The Mechanisms of International Influence on Domestic Extractive Efforts"
Contributors: Nieman, Mark, Chyzh, Olga, Thies, Cameron
... This paper expands traditional predatory theory approaches to state fiscal capacity by adopting spatial analytical reasoning and methods. While previous work in the predatory theory tradition has often incorporated interdependent external influences, such as war and trade, it has often done so in a way that maintains a theoretical and empirical autonomy of the state. Theoretically, we suggest four mechanisms (coercion, competition, learning, and emulation) that operate to channel information through interstate rivalry and territorial contiguity, trade networks, and the political space associated with regime type and intergovernmental organization membership. We test our predictions using a multi-parametric spatio-temporal autoregressive model with four spatial lags capturing the four mechanisms. Our empirical results provide support for the coercion and learning mechanisms.
Contributors: Dandois, Jonathan
... The data were collected by the EcoSynth Laboratory of UMBC, using a UAV. The data show part of the Harvard Forest in Petersham, MA. The UAV was flown over parts of Prospect Hill for the purposes of the GSD course 06242 by Peter Del Tredici and Erle Ellis.
Contributors: International Food Policy Research Institute (IFPRI)
... The Complementary Panel Survey (CPS) is a continuation of the work undertaken by the Malawi Poverty Monitoring System (PMS) since 1997. Four rounds of the CPS were conducted between January 2000 and September 2002. The PMS itself was conceived as part of the Government of Malawi’s Poverty Alleviation Programme (PAP) launched in 1994. The Policy Framework for PAP articulated the overall objective of the PMS as being to assist the government monitor poverty by collecting and analyzing data rel evant to track progress in poverty reduction and to help guide the formulation of poverty alleviation policies and programs. The Malawi National Statistical Office, the National Economic Council (NEC) and the Center for Social Research of the University of Malawi along with the technical assistance of the International Food Policy Research Institute (IFPRI), a program encompassing the implementation of a regular detailed Integrated Household Survey (IHS) was designed. The resulting Complementary Panel Survey is based on the IHS sample and complementary to the IHS, and the poverty analysis of the data collec ted by the two survey programs. The IHS was to be conducted every three to five years, while the panel survey twice a year. The final sample size of the CPS in the first round was 758 households. The CPS dataset includes information on education; morbidity; food security and coping strategies; labour and employment; income, expenditures, and transfers. The questionnaire for the fourth round of the CPS was developed explicitly to allow a welfare indicator to be constructed that would be comparable to the welfare indicator developed in the poverty analysis of the 1997-98 Integrated Household Survey. This was necessary to allow the IHS data and poverty analysis to be linked to th e CPS data in order to undertake an analysis of the dynamics of household welfare in the CPS sample between the IHS and the fourth round.