“Neighborhood” Influence on the Formation of National Identity in Taiwan: Spatial Regression with Disjoint Neighborhoods

Lin, Tse-Min; Wu, Chin En; Lee, Feng Yu

doi:10.1177/106591290605900104

Cited by 20 publications

(13 citation statements)

References 19 publications

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“…Also interestingly, all threeq estimators approach (S-2SLS: stays) unbiased as q/1. Our intuition for this finding is underdeveloped, but we suspect it may be related to a result proven in Lin et al (2006). of the simultaneity bias inq S-OLS ; with the S-OLS estimated importance of exogenousexternal conditions falsely trending downward linearly.…”

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confidence: 90%

Spatial Econometric Models of Cross-Sectional Interdependence in Political Science Panel and Time-Series-Cross-Section Data

2007

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In this paper, we demonstrate the econometric consequences of different specification and estimation choices in the analysis of spatially interdependent data and show how to calculate and present spatial effect estimates substantively. We consider four common estimators—nonspatial OLS, spatial OLS, spatial 2SLS, and spatial ML. We examine analytically the respective omitted-variable and simultaneity biases of nonspatial OLS and spatial OLS in the simplest case and then evaluate the performance of all four estimators in bias, efficiency, and SE accuracy terms under more realistic conditions using Monte Carlo experiments. We provide empirical illustration, showing how to calculate and present spatial effect estimates effectively, using data on European governments' active labor market expenditures. Our main conclusions are that spatial OLS, despite its simultaneity, performs acceptably under low-to-moderate interdependence strength and reasonable sample dimensions. Spatial 2SLS or spatial ML may be advised for other conditions, but, unless interdependence is truly absent or minuscule, any of the spatial estimators unambiguously, and often dramatically, dominates on all three criteria the nonspatial OLS commonly used currently in empirical work in political science.

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confidence: 90%

Spatial Econometric Models of Cross-Sectional Interdependence in Political Science Panel and Time-Series-Cross-Section Data

2007

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“…Similarly, Bisin and colleagues (Bisin, Patacchini, Verdier, & Zenou, 2016) find that ethnic minorities are more motivated in retaining their own distinctive cultural heritage the more integrated are the neighbourhoods where they reside and work. In a different context, Lin (2006) shows that voters of the same subethnicity who reside in different geographic locations can have different levels of national identity.…”

Section: Previous Research On Context and Identitymentioning

confidence: 99%

When the context matters: Identity, secession and the spatial dimension in Catalonia

Rodón

Guinjoan

2018

Political Geography

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Regional and national identities are significant determinants of people's support for secession. Most previous works, however, have implicitly assumed that national identity has a linear unconditional effect. We complement previous works by showing that the relationship between identity and support for secession changes as a function of the context in which an individual interacts, an effect particularly important among those with mixed national and regional identities. The first stage of our empirical analysis is based on a pool of 22,000 individuals in the context of Catalonia (Spain). Findings confirm that dual-identity individuals are especially affected by their immediate surroundings: the probability to vote in favour of independence among them substantially increases when the percentage of people speaking Catalan increases. On a second stage, we explore the existence of a social interaction mechanism by employing a survey that measures the preferences of people's close networks. We show that individual's interaction in like-minded networks modifies the relationship between identity and secession, with the effect being again strong among dual-identity individuals. This group is six times more likely to vote for secession when having only pro-secession close contacts, as compared to having none. These results have implications for studies on regionalism and preferences for territorial decentralization.

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“…Simmons and Elkins (2004) model the diffusion of economic liberalization as a function partially of the liberalization of one's neighbors, where one's neighborhood is defined by either trade or group membership, not geography. Lin, Wu, and Lee (2005) use occupation as a way to identify connectivity between individuals in a study of national identity formation in Taiwan. Despite the prominence of the concept of social space and the clear analogies between graph theory and spatial statistical models, the existing literature has paid very little attention to the potential for applications of spatial statistics to social distances.…”

Section: Beyond Euclid: Non‐geographic Notions Of Spacementioning

confidence: 99%

Space Is More than Geography: Using Spatial Econometrics in the Study of Political Economy

2006

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for helpful discussions and comments, James LeSage for making available his MATLAB spatial econometrics library and answering our questions, and Michael Ward for impressing us on the importance of space. This research was supported by a grant from the National Science Foundation (SES-0214027). AbstractWhile spatial econometrics is being used more frequently in political science, most applications are still based on geographic notions of distance. Here we argue that it is often more fruitful to consider political economy notions of distance, such as relative trade. We also argue that the spatially autoregressive model usually (but not always) should be preferred to the spatially lagged error model. Finally, we consider the role of spatial econometrics in analyzing time-series-cross-section data, and show that a plausible (and testable) assumption allows for the simple introduction of space (however defined) into such analyses. Examples of spatial analyses involving trade and democracy are presented.

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“Neighborhood” Influence on the Formation of National Identity in Taiwan: Spatial Regression with Disjoint Neighborhoods

Cited by 20 publications

References 19 publications

Spatial Econometric Models of Cross-Sectional Interdependence in Political Science Panel and Time-Series-Cross-Section Data

Spatial Econometric Models of Cross-Sectional Interdependence in Political Science Panel and Time-Series-Cross-Section Data

When the context matters: Identity, secession and the spatial dimension in Catalonia

Space Is More than Geography: Using Spatial Econometrics in the Study of Political Economy

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