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  1. Why are some U.S. cities successful, while others are not?
    empirical evidence from machine learning
    Author: Azzopardi, Damien; Fareed, Fozan; Lenain, Patrick; Sutherland, Douglas
    Published: 2020
    Publisher:  OECD, Paris, France

    The U.S. population has become increasingly concentrated in large metropolitan areas. However, there are striking differences in between the performances of big cities: some of them have been very successful and have been able to pull away from the... more

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    The U.S. population has become increasingly concentrated in large metropolitan areas. However, there are striking differences in between the performances of big cities: some of them have been very successful and have been able to pull away from the rest, while others have stagnated or even declined. The main objective of this paper is to characterize U.S. metropolitan areas according to their labor-market performance: which metropolitan areas are struggling and falling behind? Which ones are flourishing? Which ones are staying resilient by adapting to shocks? We rely on an unsupervised machine learning technique called Hierarchical Agglomerative Clustering (HAC) to conduct this empirical investigation. The data comes from a number of sources including the new Job-to-Job (J2J) flows dataset from the Census Bureau, which reports the near universe of job movements in and out of employment at the metropolitan level. We characterize the fate of metropolitan areas by tracking their job mobility rate, unemployment rate, income growth, population increase, net change in job-to-job mobility and GDP growth. Our results indicate that the 372 metropolitan areas under examination can be categorized into four statistically distinct groups: booming areas (67), prosperous mega metropolitan areas (99), resilient areas (149) and distressed metropolitan areas (57). The results show that areas that are doing well are predominantly located in the south and the west. The main features of their success have revolved around embracing digital technologies, adopting local regulations friendly to job mobility and business creation, avoiding strict rules on land-use and housing market, and improving the wellbeing of the city’s population. These results highlight that cities adopting well-targeted policies can accelerate the return to growth after a shock.

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Book
    Format: Online
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    Series: OECD Economics Department working papers ; no. 1643
    Subjects: Labour mobility; job-to-job flows; metropolitan areas; clustering analysis; United States; Economics
    Scope: 1 Online-Ressource (circa 22 Seiten), Illustrationen
  2. Labour mobility and labour market adjustment in the EU
    Published: 2014
    Publisher:  Europ. Comm., Directorate-General for Economic and Financial Affairs, Brussels

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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9789279351884
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    doi: 10.2765/72
    Series: Array ; 539
    Subjects: Labour mobility; geographic mobility; migration; gravity; adjustment; asymmetric shocks; optimal currency areas
    Scope: Online-Ressource (PDF-Datei; 44 S., 2,88 MB)
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    Weitere DOI: 10.2765/81481
  3. Labour mobility and labour market adjustment in the EU
    Author: Arpaia, Alfonso; Kiss, Áron; Palvolgyi, Balazs; Turrini, Alessandro
    Published: June 2016
    Publisher:  Centro Studi Luca d'Agliano, [Milano]

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Development studies working papers / Centro Studi Luca d'Agliano ; n. 396
    Subjects: Labour mobility; geographic mobility; migration; gravity; adjustment; asymmetric shocks; optimal currency areas; European Union
    Scope: 1 Online-Ressource (circa 72 Seiten), Illustrationen
  4. The price of pet ownership
    reduced labour mobility?
    Author: Maris, Robbie; Cameron, Michael
    Published: January 2022
    Publisher:  University of Waikato, Hamilton, New Zealand

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Working paper in economics / [University of Waikato] ; 22, 3
    Subjects: Pet ownership; Labour mobility; Mincer wage regression
    Scope: 1 Online-Ressource (circa 14 Seiten), Illustrationen
  5. Why are some U.S. cities successful, while others are not?
    empirical evidence from machine learning
    Author: Azzopardi, Damien; Fareed, Fozan; Lenain, Patrick; Sutherland, Douglas
    Published: 2020
    Publisher:  OECD, Paris, France

    The U.S. population has become increasingly concentrated in large metropolitan areas. However, there are striking differences in between the performances of big cities: some of them have been very successful and have been able to pull away from the... more

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    The U.S. population has become increasingly concentrated in large metropolitan areas. However, there are striking differences in between the performances of big cities: some of them have been very successful and have been able to pull away from the rest, while others have stagnated or even declined. The main objective of this paper is to characterize U.S. metropolitan areas according to their labor-market performance: which metropolitan areas are struggling and falling behind? Which ones are flourishing? Which ones are staying resilient by adapting to shocks? We rely on an unsupervised machine learning technique called Hierarchical Agglomerative Clustering (HAC) to conduct this empirical investigation. The data comes from a number of sources including the new Job-to-Job (J2J) flows dataset from the Census Bureau, which reports the near universe of job movements in and out of employment at the metropolitan level. We characterize the fate of metropolitan areas by tracking their job mobility rate, unemployment rate, income growth, population increase, net change in job-to-job mobility and GDP growth. Our results indicate that the 372 metropolitan areas under examination can be categorized into four statistically distinct groups: booming areas (67), prosperous mega metropolitan areas (99), resilient areas (149) and distressed metropolitan areas (57). The results show that areas that are doing well are predominantly located in the south and the west. The main features of their success have revolved around embracing digital technologies, adopting local regulations friendly to job mobility and business creation, avoiding strict rules on land-use and housing market, and improving the wellbeing of the city’s population. These results highlight that cities adopting well-targeted policies can accelerate the return to growth after a shock.

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    Series: OECD Economics Department working papers ; no. 1643
    Subjects: Labour mobility; job-to-job flows; metropolitan areas; clustering analysis; United States; Economics
    Scope: 1 Online-Ressource (circa 22 Seiten), Illustrationen
  6. Regional labour market mobility
    a network analysis of inter-firm relatedness
    Author: Sufrauj, Shamnaaz B.; Corò, Giancarlo; Volpe, Mario
    Published: [2017]
    Publisher:  Department of Economics, Ca’ Foscari University of Venice, Venice Italy

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Working paper / Ca' Foscari University of Venice, Department of Economics ; 2017, no. 06
    Subjects: Labour mobility; network analysis; skill-relatedness cross-industry linkages
    Scope: 1 Online-Ressource (circa 41 Seiten), Illustrationen
  7. Migration and climate change in the Arab region
    Published: [2024]
    Publisher:  ESCWA, Beirut, Lebanon

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: United Nations publication
    Subjects: Climate change; Migration; Climate change adaptation; Labour mobility; Refugees; Displaced persons; Migrant workers; Food security; Children; Urbanization; Women; Government policy; Research; Recommendations; Arab countries; Resilience
    Scope: 1 Online-Ressource (circa 24 Seiten)