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677 results for “Replication package”
Replication package for: Beyond Dividing the Pie: Multi-Issue Bargaining in the Laboratory
<p>Replication package for the article Bochet, Olivier, Manshu Khanna, Simon Siegenthaler (2023), Beyond Dividing the Pie: Multi-Issue Bargaining in the Laboratory. The Review of Economic Studies.</p> <p>The replication package contains the data and software code to replicate the statistical analysis, tables, and figures published in the article and the online appendix. It only contains the experimental instructions.</p>
Replication package for PHP code smells in web apps: evolution, survival and anomalies
<p>Replication package (dataset and programs/scripts) and extra documents for article:</p> <p><strong>PHP code smells in web apps: evolution, survival and anomalies</strong></p> <p>Folder zips RQ1-5 - Extra graphics for all applications studied. In the article, due to lack of space, we only present graphics for two applications.</p> <p>Data folder zip - data used in the study and suitable for replication. The folder is divided in subfolders and there is an "explanation.txt".</p> <p>scripts.zip - PHP scripts used to pre-process data</p> <p>R scripts.zip - R scripts used to analyze and graphics</p>
R Scripts - Replication Package
<p><strong>R Scripts - Replication Package:</strong> Contains R scripts for the complete quantitative analysis:</p> <ul> <li>One script for the preliminary question</li> <li>Three scripts, one for each research question</li> <li>One script for the classification of reactors based on their number of commits.</li> </ul>
Replication package for our TOSEM paper entitled "An Empirical Study on GitHub Pull Requests' Reactions"
<p>This package contains our dataset and the source code used to collect data from the the top 10,000 most starred GitHub repositories, and the selected six repositories (i.e., Cataclysm-DDA, Julia, Laravel, Node, RPCS3 and Rust), as well as the source code to analyze the data and generate all the figures in the paper. </p> <p>Please carefully read the README.md file for more details.</p>
Replication package for Superiority Seeking and the Preference for Exclusion (previously titled Mimetic Dominance and the Economics of Exclusion)
<p>Replication package for Superiority Seeking and the Preference for Exclusion (previously titled Mimetic Dominance and the Economics of Exclusion). Manuscript Number 29719. It contains the data for Studies 1-5.</p>
Replication package for: Housing Prices in Spain: Convergence or Decoupling?
<p><strong>Ghirelli C., D. Leiva-Leon, A. Urtasun (forthcoming). “Housing Prices in Spain: Convergence or Decoupling?”, SERIEs. </strong></p>
Replication package for "The Price Effects of Reducing Payment Card Interchange Fees"
<p>B. Shabgard and J. Asensio (forthcoming) "The Price Effects of Reducing Payment Card Interchange Fees", SERIEs</p>
Replication package for the article "Who chooses fast-track programs in mathematics? The role of class origin, ethnicity, and gender among Norwegian lower-secondary students", submitted to European Societies.
<p>This file contains a replication package for the article "Who chooses fast-track programs in mathematics? The role of class origin, ethnicity, and gender among Norwegian lower-secondary students", submitted to European Societies</p> <p>****************************************************************************************************************************************<br> The analyses in this article are of secondary data from Norwegian state registers. We analyzed the data with concession from The Norwegian Data Protection Authority, and under the auspices of a confidentiality agreement with Statistics Norway. All direct identifiers were stripped from the file prior to analysis. Data were handled in such a way as to protect individual’s privacy and confidentiality. This included storing these data on a secure Research Computing server and requiring each researcher working with the data to sign a confidentiality affidavit. Other parties may not access the data because it would violate the concession given by The Norwegian Data Protection Authority, and the confidentiality agreement with Statistics Norway. This prevents us from uploading the data to a public repository. <br> Researchers may apply to get access to such data, and the procedure one needs to follow is described at Statistics Norway’s webpage: <br> https://www.ssb.no/en/data-til-forskning/utlan-av-data-til-forskere<br> </p>
Replication package for: The 2000s Housing Boom With 2020 Hindsight: A Neo-Kindlebergerian View
<p>This replication package includes code and data to reproduce the tables and figures in:</p> <p>Gabriel Chodorow-Reich, Adam Guren, and Timothy McQuade, "The 2000s Housing Boom With 2020 Hindsight: A Neo-Kindlebergerian View", Review of Economic Studies</p>
Replication package of: 'When information conflicts with obligations: the role of motivated cognition' ECONOMIC JOURNAL
<p>Final_Ramadan_Survey.dta is the dataset from the survey experiment described in the paper.</p> <p>Final_Ramadan_Admin.dta is the dataset that includes exam takers’ score in the College Entrance Exam.</p>
Replication package for "Ride-Sharing and the Geography of Consumption Industries"
<p>This package replicates all the analysis of the associated manuscript. The output is all the figures and tables provided in the paper. All the non-confidential data are also provided in this package.</p>
Replication package for: Optimal Long-Term Health Insurance Contracts: Characterization, Computation, and Welfare Effects
<p>This is a replication package for: </p> <p>Ghili, S., Handel, B., Hendel, I. and Whinston, M. "Optimal Long-Term Health Insurance Contracts: Characterization, Computation, and Welfare Effects." </p> <p>The replication package .zip file contains a ReadMe, which provides instructions, and data matrices and code for the paper. </p>
Replication Package for Automatically Identifying Relations Between Self-Admitted Technical Debt Across Different Sources
<p>This dataset includes a trained weight file for identifying the relations between self-admitted technical debt items.</p>
Replication Package for ASE 2023 Paper "Personalized First Issue Recommender for Newcomers in Open Source Projects"
<p>This replication package contains a replication package for ASE 2023 paper titled "Personalized First Issue Recommender for Newcomers in Open Source Projects." This package includes a dataset of 68,858 issues from 100 GitHub projects, records of 123 manually labeled issue samples, and Python scripts for analyzing the data and evaluating models. The package is also stored in the GitHub repository <a href="https://github.com/mcxwx123/PFIRec">https://github.com/mcxwx123/PFIRec</a>.</p> <p>Required Environment</p> <p>We recommend setting up the required environment on a commodity Linux machine with at least 1 CPU Core, 8GB Memory, and 100GB empty storage space. Our experiments were conducted on an Ubuntu 20.04 server with two Intel Xeon Gold CPUs, 320GB memory, and 36TB RAID 5 Storage.</p> <p>Files and Replicating Results</p> <p>We used the GFI-bot database and the GitHub GraphQL API to collect features of 68,858 candidate issues and restore historical states of resolvers of 11,615 FIs (first issues).</p> <p>The followings are the files and replicating results:</p> <p>Dataset:</p> <p>The raw data of newcomer-issue pairs' features are stored in <code>ReplicationPackage/data/dataset_{bertmodel}_{num}.pkl</code>, where {bertmodel} is one of the four BERT-based language models: SIMCSE, RoBERTa, CodeBERT, and BERTOverflow, corresponding to the dataset whose textual features are extracted by one of the four language models. And {num} is 0 to 19, corresponding to the 20 chronological folds. The training sets of the GFI-Bot approach are contained in <code>ReplicationPackage/data/training_set_recgfi_simcse_{num}.pkl</code>. <code>ReplicationPackage/data/newcomerdata.json</code> contains first issues' title and description and their resolvers' total commit number and number of commits in the latest month, and <code>ReplicationPackage/data/processeddata.pkl</code> contains the 37 developers' features for the empirical study. <code>ReplicationPackage/data/isstexts.json</code> contains issues titles and descriptions for Stanik et al.'s approach.</p> <p>Python scripts:</p> <p><code>ReplicationPackage/empirical.py</code> is the script for reproducing all the results in Section III of the paper. <code>ReplicationPackage/model.py</code> is the script for reproducing all the results in Section IV of the paper.</p> <p>Records:</p> <p><code>ReplicationPackage/PFIs.csv</code> records the manually labeled issues for the empirical study.</p> <p>Figures:</p> <p>By running <code>ReplicationPackage/empirical.py</code> and <code>ReplicationPackage/model.py</code>, you can get all the figures in the fold <code>ReplicationPackage/figures/</code>. Besides the figures in the paper, <code>ReplicationPackage/figures/</code> also contains <code>typedis_{num}.png</code>, and <code>domaindis_{num}.png</code>, {num} is 1 to 4, representing additional results of newcomer features for Figure 4 in the paper.</p>
Replication package for: Weak Instruments in Instrumental Variables Regression: Theory and Practice
<p>The package contains all the code necessary to reproduce the figures and tables in </p> <p><a href="https://www.annualreviews.org/doi/abs/10.1146/annurev-economics-080218-025643">Weak Instruments in Instrumental Variables Regression: Theory and Practice</a></p> <p>Isaiah Andrews, James H. Stock, Liyang Sun</p> <p>Annual Review of Economics 2019 11:1, 727-753</p> <p>Detailed instructions are given in a readme therein. Section A is an overview on the directory structure of the replication files. Section B describes features collected from articles and specifications in the AER sample.</p>
Replication package for "Memory and markets"
<p>This package includes raw data for Figure 1 and lists the sources of the data in Kovbasyuk, Spagnolo (forthcoming), "Memory and Markets." Review of Economic Studies.</p>
Replication package for: Patent Hold-out and Licensing Frictions: Evidence from Litigation of Standard Essential Patents
<p>This replication package contains the data and the code to generate the results reported in "Patent Hold-out and Licensing Frictions: Evidence from Litigation of Standard Essential Patents" by Christian Helmers and Brian J. Love.</p>
Replication Package for SPLC23 Paper Continuous T-Wise Coverage
<p><strong>This package contains the tooling used to evaluate continuous t-wise coverage for the paper submission 9249</strong>.</p> <p>How to use this replication package:</p> <ol> <li>Unzip FeatJar.zip</li> <li>Unzip paper-result.zip</li> <li>Read the readme file for detailed instructions.</li> </ol>
Replication package for "Competition and Product Composition: Evidence from Hollywood"
<p>This replication package contains the data and the code to generate the results in "Competition and Product Composition: Evidence from Hollywood" by Joseph Kuehn and Ryan Lampe, to be published in the <em>International Journal of Industrial Organization</em>. </p>
Replication package for: Taxes and Growth: New Narrative Evidence from Interwar Britain
<p>This package contains the datasets and software for reproducing the figures and tables in Cloyne, Dimsdale and Postel-Vinay "Taxes and Growth: New Narrative Evidence from Interwar Britain", Review of Economic Studies. See the Readme.pdf file for more detailed instructions.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.