Prospective Cohort Study

The East Asian miracle: Economic growth and public policy: By the World Bank. (New York: Oxford University Press for the World Bank, 1993. 389 pp. $19.95, paper.)

By Pierre Bourdieu (London: Routledge, 2010), xxx + 607 pp. £15.99 paper. A combination of social theory, statistical data, illustrations, and interviews, Distinction: A Social Critique of the Judg...

Distinction: A Social Critique of the Judgement of Taste

A number of possible advantages of industry agglomeration—or spatial clustering—have been identified in the research literature, notably those related to shared costs for infrastructure, the build-up of a skilled labour force, transaction efficiency, and knowledge spillovers leading to firm learning and innovation. We identify two shortcomings of existing research on the clustering phenomenon. First, the abundance of theoretical concepts and explanations stands in sharp contrast with the general lack of work aimed at validating these mechanisms empirically and the contradictory evidence found in recent empirical work in the field. Second, there is still a lack of a unified theoretical framework for analyzing spatial clustering. In an attempt to remedy the latter shortcoming, this paper investigates the nature of the cluster from a knowledge-creation or learning perspective. We argue for the need to establish a specific theory of the cluster where learning occupies centre stage. The basic requirements for ...

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The Elusive Concept of Localization Economies: Towards a Knowledge-Based Theory of Spatial Clustering

Sampson, Robert J. 2012. Great American city: Chicago and the enduring neighborhood effect. Chicago: University of Chicago Press. ISBN-13: 9780226734569. pp. 552, $27.50 cloth. Robert J. Sampson’s ...

Great American city: Chicago and the enduring neighborhood effect

Economic growth depends on human resources and human needs. The demographic age structure shapes both of these factors. We study five-year data from the OECD countries 1950–1990 in the framework of an age structure augmented neoclassical growth model with gradual technical adjustment. The model performs well in both pooled and panel estimations. The growth patterns of GDP per worker (labor productivity) in the OECD countries are to a large extent explained by age structure changes. The 50–64 age group has a positive influence, and the group above 65 contributes negatively, while younger age groups have ambiguous effects. However, the mechanism behind these age effects is not yet resolved.

Age structure effects and growth in the OECD, 1950–1990

As global deaths from COVID-19 continue to rise, the world's governments, institutions, and agencies are still working toward an understanding of who is most at risk of death. In this study, data on all recorded COVID-19 deaths in Sweden up to May 7, 2020 are linked to high-quality and accurate individual-level background data from administrative registers of the total population. By means of individual-level survival analysis we demonstrate that being male, having less individual income, lower education, not being married all independently predict a higher risk of death from COVID-19 and from all other causes of death. Being an immigrant from a low- or middle-income country predicts higher risk of death from COVID-19 but not for all other causes of death. The main message of this work is that the interaction of the virus causing COVID-19 and its social environment exerts an unequal burden on the most disadvantaged members of society.

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A population-based cohort study of socio-demographic risk factors for COVID-19 deaths in Sweden

Agglomeration and firm performance: Economies of scale, localisation and urbanisation among Swedish export firms.

Agglomeration and Firm Performance: Economies of Scale, Localisation, and Urbanisation among Swedish Export Firms:

In recent years, structural changes to the school system, including the introduction of independent schools, have increased school choice alternatives in Sweden. Consequently, a large share of toda ...

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School Choice and Increasing Performance Difference: A Counterfactual Approach

Nearly all segregation measures use some form of administrative unit (usually tracts in the United States) as the base for the calculation of segregation indices, and most of the commonly used measures are aspatial. The spatial measures that have been proposed are often not easily computed, although there have been significant advances in the past decade. We provide a measure that is individually based (either persons or very small administrative units) and a technique for constructing neighborhoods that does not require administrative units. We show that the spatial distribution of different population groups within an urban area can be efficiently analyzed with segregation measures that use population count-based definitions of neighborhood scale. We provide a variant of a k-nearest neighbor approach and a statistic spatial isolation and a methodology (EquiPop) to map, graph, and evaluate the likelihood of individuals meeting other similar race individuals or of meeting individuals of a different ethnicity. The usefulness of this approach is demonstrated in an application of the method to data for Los Angeles and three metropolitan areas in Sweden. This comparative approach is important as we wish to show how the technique can be used across different cultural contexts. The analysis shows how the scale (very small neighborhoods, larger communities, or cities) influences the segregation outcomes. Even if microscale segregation is strong, there may still be much more mixing at macroscales.

/pdf/measuring-the-scale-of-segregation-using-k-nearest-neighbor-96msl9zu98.pdf

Bo Malmberg

Papers

Age structure effects and growth in the OECD, 1950–1990

A population-based cohort study of socio-demographic risk factors for COVID-19 deaths in Sweden

Agglomeration and Firm Performance: Economies of Scale, Localisation, and Urbanisation among Swedish Export Firms:

School Choice and Increasing Performance Difference: A Counterfactual Approach

Measuring the Scale of Segregation Using k‐Nearest Neighbor Aggregates