Contributors: Beel, Joeran, Dinesh, Siddharth, Mayr, Philipp, Carevic, Zeljko, Raghvendra, Jain
... This data relates to our paper "Stereotype and Most-Popular Recommendations in the Digital Library Sowiport". The data includes a list of the 28 million delivered and clicked recommendations as CSV file, the R script to analyze the data, and the figures and tables presented in this paper as PNG and CSV files. This open access to the data allows replicating our analyses, checking the results for correctness, and conducting additional analyses.
Contributors: Forget, Gaël
... See README.pdf
Contributors: Pickering, Steve
... A new method for measuring levels of infrastructure development, based on Bing, Google, Open and Sina maps.
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Contributors: Arbués, Ignacio , Ledo, Ramiro, Matilla-García, Mariano
... There are a number of econometrics tools to deal with the different types of situations in which cointegration can appear: I(1), I(2), seasonal, polyno- mial, etc. There are also different kinds of Vector Error Correction models related to these situations. The authors propose a unified theoretical and practical framework to deal with many of these situations. To this aim: (i) they introduce a general class of models and (ii) provide an automatic method to identify models, based on estimating the Smith form of an autoregressive model. Their simulations suggest the power of the new proposed methodology. An empirical example illustrates the methodology.
Contributors: Puljek-Shank, Randall, Verkoren, Willemijn
... This dataset includes data from a survey of constituencies (members and/or beneficiaries) of case study CSOs in Bosnia-Herzegovina conducted in 2014. It consists of raw survey data and R script which generates a report. It also includes an appendix with additional data supporting the conclusions.
Contributors: Miller, Jonathan
... A brief description of the clinical effectiveness and some biochemistry of anthracyclines and other small molecules in the treatment of various cancers.
Contributors: Da Silva, Mayesse, Monserrate, Fredy, Valencia, Jefferson, Quintero, Marcela, Jarvis, Andy
... Digital soil property maps were generated at 30 meters resolution for the West of Honduras in order to develop the AGRI v.1 tool (Monserrate et al., 2016). AGRI (from its Spanish words AGua para RIego) is a tool that combines information about climate, relief, soils, land cover, and hydrology to identify suitable water sources for implementing small irrigation projects. The soil properties mapped were sand (%), silt (%), clay (%), texture class, field capacity (v/v), wilting point (v/v), water holding capacity (v/v), and curve numbers. A database of 1887 points from González et al. (2008) were used to generate the maps of sand, silt, and clay. This database was also used to determine field capacity, wilting point and water-holding capacity for each point by applying pedotransfer functions according to Saxton & Rawls (2006). A regression kriging approach was performed by combining 80% of point data with the terrain attributes aspect, mid-slope position, normalized height, plan and profile curvature, slope and topographic wetness index generated from a digital elevation model SRTM of 30 meters resolution. The combination of sand, silt, and clay maps resulted on texture class map. The curve number was mapped using the texture and land cover maps according to Soil Conservation Service of the United States of America (USDA-SCS, 1985). The maps performance was evaluated by the normalized root mean square error (RMSEn) expressed in percentage and using 20% of data point not used for mapping. Clay, sand, silt, field capacity, water holding capacity and wilting point presented error of 16%, 17%, 13%, 19%, 10% and 18% respectively.
Contributors: Baum-Snow, Nathaniel, Brandt, Loren, Henderson, J. Vernon, Turner, Matthew, Zhang, Qinghua
... Review of Economics and Statistics: Forthcoming
Contributors: Flynn, Michael, Fordham, Benjamin
... Why do some domestic actors see the international environment as a threatening place populated by untrustworthy powers, when others find opportunities for peaceful cooperation in the same conditions? Because these actors confront the same international environment, the reasons for their divergent evaluations must rest on differences in their own beliefs and interests. In this article, we consider the impact of societal interests in trade and trade protection on elite assessments of the international environment. We examine evaluations of the international environment in speeches given in the U.S. Congress during naval appropriations debates between 1890 and 1914. The manufacturing sector’s interest in trade protection led political leaders who represented manufacturing regions to offer more negative assessments of the international environment, while those representing export-oriented agricultural areas of the country gave more positive evaluations. These effects were roughly comparable to those associated with party, as well as individual-level characteristics, such as having served as a military officer.
Replication Data for: Don't Know What You Got: A Bayesian Hierarchical Model of Neuroticism and Nonresponse
Contributors: Klingler, Jonathan D., Hollibaugh, Gary E., Ramey, Adam J.
... Individuals who are more sensitive to negative outcomes from error are more likely to provide nonresponses in surveys. We argue Neurotics’ sensitivity to negative outcomes leads them to avoid gathering costly information and forming/reporting opinions about stimuli. Using data from the 2014 Cooperative Congressional Election Study, we show Neuroticism is strongly and positively associated with NA/DK responses when placing politicians on a 7-point ideological scale. We then introduce to political science a Bayesian hierarchical model that allows nonresponse to be generated by both a lack of information as well as disincentives for response. Using this model, we show that the NA/DK responses in these data are due to inhibited information collection and indecision from error avoidance by Neurotics.