Philipp Hunziker
Biographic Data
| ID | 3821026 |
|---|---|
| NAME | Philipp Hunziker |
| GIVEN NAMES | Philipp |
| FAMILY NAME | Hunziker |
| SIGNATURE | HUNZIKER P |
| AFFILIATIONS | Lazerlab, Northeastern University & IQSS, Harvard University |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 445 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 5 |
A Fast Estimator for Binary Choice Models with Spatial, Temporal, and Spatio-Temporal Interdependence
Binary outcome models are frequently used in the social sciences and economics. However, such models are difficult to estimate with interdependent data structures, including spatial, temporal, and spatio-temporal autocorrelation because jointly determined error terms in the reduced-form specification are generally analytically intractable. To deal with this problem, simulation-based approaches have been proposed. However, these approaches (i) are…
Roads to Rule, Roads to Rebel: Relational State Capacity and Conflict in Africa
Weak state capacity is one of the most important explanations of civil conflict. Yet, current conceptualizations of state capacity typically focus only on the state while ignoring the relational nature of armed conflict. We argue that opportunities for conflict arise where relational state capacity is low, that is, where the state has less control over its subjects than its potential challengers. This occurs in ethnic groups that are poorly acces…
New spatial data on ethnicity: Introducing Side
Research on ethnic politics and political violence has benefited substantially from the growing availability of cross-national, geo-coded data on ethnic settlement patterns. However, because existing datasets represent ethnic homelands using aggregate polygon features, they lack information on ethnic compositions at the local level. Addressing this gap, this article introduces the Spatially Interpolated Data on Ethnicity (SIDE) dataset, a collect…
No extraction without representation: The ethno-regional oil curse and secessionist conflict
A large body of literature claims that oil production increases the risk of civil war. However, a growing number of skeptics argue that the oil-conflict link is not causal, but merely an artifact of flawed research designs. This article re-evaluates whether - and where - oil causes conflict by employing a novel identification strategy based on the geological determinants of hydrocarbon reserves. We employ geospatial data on the location of sedime…
Who Inherits the State? Colonial Rule and Postcolonial Conflict
Postulating grievance‐based mechanisms, several recent studies show that politically excluded ethnic groups are more likely to experience civil conflict. However, critics argue that endogeneity may undermine this finding since governments' decisions to include or exclude could be motivated by the anticipation of conflict. We counter this threat to inference by articulating a causal pathway that explains ethnic groups' access to power independentl…
Integrating Data on Ethnicity, Geography, and Conflict: The Ethnic Power Relations Data Set Family
This article introduces the new Family of Ethnic Power Relations (EPR) data sets, version 2014, which is the latest in a series of data sets on ethnicity that have stimulated civil war research in the past decade. The EPR Family provides data on ethnic groups’ access to state power, their settlement patterns, links to rebel organizations, transborder ethnic kin relations, and intraethnic cleavages. The new 2014 version does not only extend the da…
Integrating Data on Ethnicity, Geography, and Conflict: The Ethnic Power Relations Data Set Family
This article introduces the new Family of Ethnic Power Relations (EPR) data sets, version 2014, which is the latest in a series of data sets on ethnicity that have stimulated civil war research in the past decade. The EPR Family provides data on ethnic groups’ access to state power, their settlement patterns, links to rebel organizations, transborder ethnic kin relations, and intraethnic cleavages. The new 2014 version does not only extend the da…
Who Inherits the State? Colonial Rule and Postcolonial Conflict
Postulating grievance‐based mechanisms, several recent studies show that politically excluded ethnic groups are more likely to experience civil conflict. However, critics argue that endogeneity may undermine this finding since governments' decisions to include or exclude could be motivated by the anticipation of conflict. We counter this threat to inference by articulating a causal pathway that explains ethnic groups' access to power independentl…
Roads to Rule, Roads to Rebel: Relational State Capacity and Conflict in Africa
Weak state capacity is one of the most important explanations of civil conflict. Yet, current conceptualizations of state capacity typically focus only on the state while ignoring the relational nature of armed conflict. We argue that opportunities for conflict arise where relational state capacity is low, that is, where the state has less control over its subjects than its potential challengers. This occurs in ethnic groups that are poorly acces…
No extraction without representation: The ethno-regional oil curse and secessionist conflict
A large body of literature claims that oil production increases the risk of civil war. However, a growing number of skeptics argue that the oil-conflict link is not causal, but merely an artifact of flawed research designs. This article re-evaluates whether - and where - oil causes conflict by employing a novel identification strategy based on the geological determinants of hydrocarbon reserves. We employ geospatial data on the location of sedime…
New spatial data on ethnicity: Introducing Side
Research on ethnic politics and political violence has benefited substantially from the growing availability of cross-national, geo-coded data on ethnic settlement patterns. However, because existing datasets represent ethnic homelands using aggregate polygon features, they lack information on ethnic compositions at the local level. Addressing this gap, this article introduces the Spatially Interpolated Data on Ethnicity (SIDE) dataset, a collect…
A Fast Estimator for Binary Choice Models with Spatial, Temporal, and Spatio-Temporal Interdependence
Binary outcome models are frequently used in the social sciences and economics. However, such models are difficult to estimate with interdependent data structures, including spatial, temporal, and spatio-temporal autocorrelation because jointly determined error terms in the reduced-form specification are generally analytically intractable. To deal with this problem, simulation-based approaches have been proposed. However, these approaches (i) are…
Integrating Data on Ethnicity, Geography, and Conflict: The Ethnic Power Relations Data Set Family
This article introduces the new Family of Ethnic Power Relations (EPR) data sets, version 2014, which is the latest in a series of data sets on ethnicity that have stimulated civil war research in the past decade. The EPR Family provides data on ethnic groups’ access to state power, their settlement patterns, links to rebel organizations, transborder ethnic kin relations, and intraethnic cleavages. The new 2014 version does not only extend the da…
Who Inherits the State? Colonial Rule and Postcolonial Conflict
Postulating grievance‐based mechanisms, several recent studies show that politically excluded ethnic groups are more likely to experience civil conflict. However, critics argue that endogeneity may undermine this finding since governments' decisions to include or exclude could be motivated by the anticipation of conflict. We counter this threat to inference by articulating a causal pathway that explains ethnic groups' access to power independentl…
No extraction without representation: The ethno-regional oil curse and secessionist conflict
A large body of literature claims that oil production increases the risk of civil war. However, a growing number of skeptics argue that the oil-conflict link is not causal, but merely an artifact of flawed research designs. This article re-evaluates whether - and where - oil causes conflict by employing a novel identification strategy based on the geological determinants of hydrocarbon reserves. We employ geospatial data on the location of sedime…
New spatial data on ethnicity: Introducing Side
Research on ethnic politics and political violence has benefited substantially from the growing availability of cross-national, geo-coded data on ethnic settlement patterns. However, because existing datasets represent ethnic homelands using aggregate polygon features, they lack information on ethnic compositions at the local level. Addressing this gap, this article introduces the Spatially Interpolated Data on Ethnicity (SIDE) dataset, a collect…
A Fast Estimator for Binary Choice Models with Spatial, Temporal, and Spatio-Temporal Interdependence
Binary outcome models are frequently used in the social sciences and economics. However, such models are difficult to estimate with interdependent data structures, including spatial, temporal, and spatio-temporal autocorrelation because jointly determined error terms in the reduced-form specification are generally analytically intractable. To deal with this problem, simulation-based approaches have been proposed. However, these approaches (i) are…
Roads to Rule, Roads to Rebel: Relational State Capacity and Conflict in Africa
Weak state capacity is one of the most important explanations of civil conflict. Yet, current conceptualizations of state capacity typically focus only on the state while ignoring the relational nature of armed conflict. We argue that opportunities for conflict arise where relational state capacity is low, that is, where the state has less control over its subjects than its potential challengers. This occurs in ethnic groups that are poorly acces…
Computer Science (5 works) · Political science (5 works) · Ethnic group (4 works) · Law (4 works) · Political Conflict and Governance (4 works) · Politics (4 works) · Sociology (4 works) · Civil Conflict (3 works) · Economics (3 works) · Geography (3 works)