Population distribution over time: modelling local spatial dependence with a CAR process

Epifani, Ilenia; Ghiringhelli, Chiara; Nicolini, Rosella

doi:10.1080/17421772.2020.1708442

Cited by 9 publications

(4 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Various contributions in the literature point to the relevance of the economic status of a neighborhood in making such a decision, together with other social features such as education level, labor skills, or individuals belonging to the same ethnic group and living in the same spatial unit (Duranton and Puga 2015). Within this body of work, Epifani and Nicolini (2013) and Epifani et al (2020) develop a probabilistic approach (applicable to different spatial scales, namely either urban or regional levels) to assess the determinants for population density distribution. They approximate individual preferences relying on features that define neighborhood status (following Rosenthal and Ross 2015), as well as accessibility, intended as individuals' ease of access to amenities or other facilities in which they are interested.…”

Section: Framework Of Analysis and Research Hypothesismentioning

confidence: 99%

Urban Spatial Structure in Barcelona (1902–2011): Immigration, Spatial Segregation and New Centrality Governance

García-López

Nicolini

Sabaté

2020

Appl. Spatial Analysis

Self Cite

View full text Add to dashboard Cite

This paper investigates the impact of the city’s urban spatial structure in shaping population density distribution over time. This research question is relevant in Barcelona because urban population grew at a sustained pace in various decades due to intense immigration inflows. When the urban spatial structure fails to behave as the backbone of population density distribution, population distribution can suffer from polarization problems. We conduct our empirical study using an urban monocentric framework, tracking the different spatial distribution patterns of the overall population and a few selected urban communities in light of the degree of attractiveness of the central business district (CBD). To this end, we construct an original database by each district in Barcelona from 1902 to 2011 and perform an econometric analysis. Our results reveal that the urban spatial structure continued to be a crucial determinant over time for shaping the overall population distribution in Barcelona and in almost all selected communities. However, its importance fluctuated over time, bottoming out in the 1950s–1960s, and whose resurgence was mostly driven by the political initiative to create a new centrality in the urban periphery. This policy reinforced the attractiveness of the CBD, resulting in the de-facto avoidance of urban polarization.

show abstract

Section: Framework Of Analysis and Research Hypothesismentioning

confidence: 99%

Urban Spatial Structure in Barcelona (1902–2011): Immigration, Spatial Segregation and New Centrality Governance

García-López

Nicolini

Sabaté

2020

Appl. Spatial Analysis

Self Cite

View full text Add to dashboard Cite

show abstract

“…As in [48], we suppose the existence of a potential impact of social interactions-in the form of local spatial spillovers-on the probability of a municipality of having mixed marriages. This spatial version of ZIP model takes the form of a cross-sectional spatially lagged SLX model ( [49][50][51]). It is an augmented model which incorporates the spatial lags of the explanatory variables in the expressions of equation ( 3) as follows:…”

mentioning

confidence: 99%

Modeling Spatial Local Variations in Intermarriage

Esteve¹,

Chasco²,

López‐Gay³

2022

Preprint

View full text Add to dashboard Cite

We utilized all Spanish marriage records available at the municipality level from 2005-2007 to model spatial variations in intermarriage. We constructed a spatial regime zero inflated Poisson model and grouped-data probit model, with spatially lagged regressors, to predict the absolute and relative presence of intermarriage between Spaniards and migrants based on structural characteristics of the local marriage markets and their neighboring areas (i.e., relative group size, homogeneity of national origins, and sex ratio indicators). Our models do not assume collapsibility of the marriage market. Instead, they incorporate the local dimension of the marriage market and examine the association between intermarriage and structural variables at the spatial local level. The model also investigates intermarriage variation by size of place. The local characteristics of the marriage markets are robust indicators of both the absolute and relative importance of intermarriage, but their impact varies by size of municipality. The relative size of the migrant community positively impacts intermarriage. The homogeneity of the origins of migrants is negatively related to it. The impact of sex ratios in the migrant and native communities on intermarriage is not uniform across all municipalities and is not always related to more intermarriage.

show abstract

“…As in [50], we suppose the existence of a potential impact of social interactions-in the form of local spatial spillovers-on the probability of a municipality of having mixed marriages. This spatial version of ZIP model takes the form of a cross-sectional spatially lagged SLX model [51][52][53]. It is an augmented model which incorporates the spatial lags of the explanatory variables in the expressions of Equation (3) as follows:…”

mentioning

confidence: 99%

Modeling Local Variations in Intermarriage

2022

View full text Add to dashboard Cite

We utilized all Spanish marriage records available at the municipality level from 2005–2007 to model spatial variations in intermarriage. We constructed a spatial regime zero-inflated Poisson model and grouped-data probit model, with spatially lagged regressors, to predict the absolute and relative presence of intermarriage between Spaniards and migrants based on structural characteristics of the local marriage markets and their neighboring areas (i.e., relative group size, homogeneity of national origins, and sex ratio indicators). Our models do not assume collapsibility of the marriage market. Instead, they incorporate the local dimension of the marriage market and examine the association between intermarriage and structural variables at the spatial local level. The model also investigates intermarriage variation by size of place. The local characteristics of the marriage markets are robust indicators of both the absolute and relative importance of intermarriage, but their impact varies by size of municipality. The relative size of the migrant community positively impacts intermarriage. The homogeneity of the origins of migrants is negatively related to it. The impact of sex ratios in the migrant and native communities on intermarriage is not uniform across all municipalities and is not always related to more intermarriage.

show abstract

Population distribution over time: modelling local spatial dependence with a CAR process

Cited by 9 publications

References 28 publications

Urban Spatial Structure in Barcelona (1902–2011): Immigration, Spatial Segregation and New Centrality Governance

Urban Spatial Structure in Barcelona (1902–2011): Immigration, Spatial Segregation and New Centrality Governance

Modeling Spatial Local Variations in Intermarriage

Modeling Local Variations in Intermarriage

Contact Info

Product

Resources

About