Suchergebnisse

The IMISEM dataset contains 828 indicators on the migration policies of 32 polities from Europe, South East Asia and Latin America and the Caribbean. The IMISEM project adopts a comprehensive view of migration policy that includes both its emigrant/ emigration and immigrant/ immigration sides, bridging for the first time the two sides of migration policy. Thus, the dataset includes indicators that measure emigration policies (exit policies and control of outflows), immigration policies (entry policies and control of inflows), emigrant policies (rights granted, services offered and obligations imposed on non-resident citizens), immigrant policies (mainly, rights granted to non-citizen residents) and citizenship policies (mainly, access to naturalization for immigrants and retention of citizenship by emigrants). The main sources used to complete the IMISEM questionnaires are legal sources (i.e. laws, regulations). Legal sources are complemented with secondary sources (for instance, policy reports) and interviews with experts. The IMISEM Dataset is one of the main outputs of the "The Every Immigrant is an Emigrant Project (IMISEM)" funded by the Leibniz Gemeinschaft and carried out at the GIGA German Institute for Global and Area Studies between 2017 and 2020.

The dataset is composed of the entire universe of sanctions regimes imposed by the UN, US and EU in the period from 1990 to 2010, including those sanctions regimes that were in place by 1990, targeting a country, its leadership and entities associated with it. Episodes which are still on-going are also recorded. Included are all sanctioned countries which have been coded – at least – at the start of sanction episodes as "autocratic regimes" by the Hadenius/Teorell/Wahman dataset on authoritarian regimes (2012).

For legal reasons, the study data (data_incels_gesis.zip) are no longer available as of 30.01.2024 until further notice.

The dataset consists of all publicly visible posts and the data that comes with each post of the online-forum incels.is during the first week of November 2022.
The forum is the current (2022) largest communication platform within the incel community.
Incels (involuntary celibates) are of interest to researchers through several offline and online violence cases. Violence against themselves is also an accepted act within the community.
This dataset is a large-scale collection of digital behavioral data that allows researchers to investigate questions surrounding, e.g. incels, hate-speech, communication in online forums, the emergence of acts of terrorism, and suicide prevention.
The dataset was used for a Master's Thesis and is the basis for upcoming publications.
This repository contains the dataset and the scripts that showcase the analysis of this dataset.

Geographical factors in general and proximity in particular have a pervasive influence on negative as well as positive interaction between states. Traditionally, proximity has been measured by contiguity or by great-circle distance. We argue that it is important to distinguish between the different levels of interaction opportunities open to contiguous states and propose to operationalize this as the length of the shared land boundary. Data on boundary lengths can be used, e.g., in the study of the relationship between natural resources and conflict or in the study of the diffusion of conflict. To date, such datasets have only been available for the most recent years. We present a new dataset covering the entire Correlates of War period, explain the measurement procedures, and offer comparisons with other more limited datasets.

Geographical factors in general & proximity in particular have a pervasive influence on negative as well as positive interaction between states. Traditionally, proximity has been measured by contiguity or by great-circle distance. We argue that it is important to distinguish between the different levels of interaction opportunities open to contiguous states & propose to operationalize this as the length of the shared land boundary. Data on boundary lengths can be used, e.g., in the study of the relationship between natural resources & conflict or in the study of the diffusion of conflict. To date, such datasets have only been available for the most recent years. We present a new dataset covering the entire Correlates of War period, explain the measurement procedures, & offer comparisons with other more limited datasets. 2 Tables, 1 Figure, 50 References. Adapted from the source document.

AbstractIn this paper, we emphasize the role of institutions as the underlying basis for economic and social activity. We describe and compare different institutional classification systems, which is rarely done in the literature, and show how to empirically operationalize institutional concepts. More than 30 established institutional indicators can be clustered into three homogeneous groups of formal institutions: legal, political and economic, which capture to a large extent the complete formal institutional environment of a country. We compute the latent quality of legal, political and economic institutions for every country in the world and for every year. On this basis, we propose a legal, political and economic World Institutional Quality Ranking, through which we can follow whether a country is improving or worsening its relative institutional environment. The calculated latent institutional quality measures can be especially useful in further panel data applications and add to the usual practice of using simply one or another index of institutional quality to capture the institutional environment. We make the Institutional Quality Dataset, covering up to 197 countries and territories from 1990 to 2010, freely available online.

The dataset is composed of the entire universe of sanctions regimes imposed by the UN, US and EU in the period from 1990 to 2010, including those sanctions regimes that were in place by 1990, targeting a country, its leadership and entities associated with it. Episodes which are still on-going are also recorded. Included are all sanctioned countries which have been coded – at least – at the start of sanction episodes as "autocratic regimes" by the Hadenius/Teorell/Wahman dataset on authoritarian regimes (2012).

The Manifesto Project Dataset provides the scientific community with parties' policy positions derived from a content analysis of parties' electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents' policy positions across countries and elections within a common framework. Manifestos are understood to be parties' only and presidential candidates' main authoritative policy statements and, therefore, as indicators of the parties' policy preferences at a given point in time.
The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.

The Manifesto Project Dataset provides the scientific community with parties' policy positions derived from a content analysis of parties' electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents' policy positions across countries and elections within a common framework. Manifestos are understood to be parties' only and presidential candidates' main authoritative policy statements and, therefore, as indicators of the parties' policy preferences at a given point in time.
The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.

The Manifesto Project Dataset provides the scientific community with parties' policy positions derived from a content analysis of parties' electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents' policy positions across countries and elections within a common framework. Manifestos are understood to be parties' only and presidential candidates' main authoritative policy statements and, therefore, as indicators of the parties' policy preferences at a given point in time.
The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.

The Manifesto Project Dataset provides the scientific community with parties' policy positions derived from a content analysis of parties' electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents' policy positions across countries and elections within a common framework. Manifestos are understood to be parties' only and presidential candidates' main authoritative policy statements and, therefore, as indicators of the parties' policy preferences at a given point in time.
The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.

The Manifesto Project Dataset provides the scientific community with parties' policy positions derived from a content analysis of parties' electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents' policy positions across countries and elections within a common framework. Manifestos are understood to be parties' only and presidential candidates' main authoritative policy statements and, therefore, as indicators of the parties' policy preferences at a given point in time.
The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.

The Manifesto Project Dataset provides the scientific community with parties' policy positions derived from a content analysis of parties' electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents' policy positions across countries and elections within a common framework. Manifestos are understood to be parties' only and presidential candidates' main authoritative policy statements and, therefore, as indicators of the parties' policy preferences at a given point in time.
The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.