Mapping the Universe of International Investment Agreements

Alschner, Wolfgang; Skougarevskiy, Dmitriy

doi:10.2139/ssrn.2801608

Cited by 20 publications

(36 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It simply counts the share of textual elements that a text pair has in common in relation to all text elements present in the pair. Subtracted from 1 this number yields the Jaccard distance, otherwise it indicates Jaccard similarity (Alschner and Skougarevskiy, 2016). A useful property of the Jaccard measure is that it is bounded between 0 and 1.…”

Section: ) Comparing Texts Computationally Through Distance Measuresmentioning

confidence: 99%

See 1 more Smart Citation

Sense and similarity: automating legal text comparison

Alschner¹

2020

Computational Legal Studies

Self Cite

View full text Add to dashboard Cite

Section: ) Comparing Texts Computationally Through Distance Measuresmentioning

confidence: 99%

“…Moreover, the same type of analysis can help track policy diffusion patterns. By comparing treaty texts across countries, it is possible to identify when one country borrowed treaty language from another country and how new policies thereby spread from one state to the next (Alschner and Skougarevskiy, 2016).…”

Section: ) Policy Evolution and Diffusionmentioning

confidence: 99%

Sense and similarity: automating legal text comparison

Alschner¹

2020

Computational Legal Studies

Self Cite

View full text Add to dashboard Cite

“…Historically, it originates from the botany field when, in the early 1900, Paul Jaccard quantified the number of common floral species across several sets of lands [6] , [7] . It has then been used in International Business when [8] , [9] used Jaccard similarity indices to measure the persistency of the TPP across free trade agreements. From a methodological perspectively, they treated text as data by using character N-grams of 5 characters before providing a coefficient of similarity.…”

Section: Datamentioning

confidence: 99%

Dataset of Jaccard similarity indices from 1,597 European political manifestos across 27 countries (1945–2017)

Sanger

Warin

2019

Data in Brief

View full text Add to dashboard Cite

This dataset compiles the results of our computations of Jaccard similarity indices of political manifestos from 27 European countries since 1945. The raw text is accessible through the Manifesto Project's API in R. In total, 1597 political manifestos have been compared on a country level, providing measures of similarity between different political platforms. In addition to the Jaccard similarity indices gathered into 27 csv files (one per country), the R code to download, transform, and compare political manifestos is provided. Moreover, we also provide the R code to execute all the necessary computations for a whole country.

show abstract

“…To operationalize the notion of textual similarity between PTAs we follow Alschner and Skougarevskiy (b:564). We first split each treaty in our corpus into its underlying five‐character gram components .…”

Section: Text‐as‐data Analysis With Totamentioning

confidence: 99%

Text of Trade Agreements (ToTA)—A Structured Corpus for the Text‐as‐Data Analysis of Preferential Trade Agreements

Alschner¹,

Seiermann²,

Skougarevskiy³

2018

J Empirical Legal Studies

Self Cite

View full text Add to dashboard Cite

With multilateral negotiations at the World Trade Organization (WTO) in deadlock, rulemaking on international economic governance has shifted to preferential trade agreements (PTAs). To facilitate the scholarly investigation of the fast‐growing universe of PTAs, this article introduces a machine‐readable and structured full text corpus of 448 WTO‐notified trade agreements stored on a Github repository—the Text of Trade Agreements (ToTA) corpus. The article (1) provides a summary analysis of the ToTA corpus, (2) illustrates how text‐as‐data techniques can be used to investigate PTA design using ToTA, including through an interactive website accompanying this research, and (3) concludes with an overview of research applications involving this PTA text corpus in economics, political science, and law. The current codebook is attached herein as an appendix. The dataset, codebook, and code, as updated, are available at https://github.com/mappingtreaties/tota.

show abstract

Mapping the Universe of International Investment Agreements

Cited by 20 publications

References 3 publications

Sense and similarity: automating legal text comparison

Sense and similarity: automating legal text comparison

Dataset of Jaccard similarity indices from 1,597 European political manifestos across 27 countries (1945–2017)

Text of Trade Agreements (ToTA)—A Structured Corpus for the Text‐as‐Data Analysis of Preferential Trade Agreements

Contact Info

Product

Resources

About