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Displaying results 1 to 13 of 13.

  1. House price synchronization and financial openness
    a dynamic factor model approach
    Author: Katagiri, Mitsuru
    Published: 2018
    Publisher:  International Monetary Fund, [Washington, D.C.]

    This paper investigates the developments in house price synchronization across countries by a dynamic factor model using a country- and city-level dataset, and examines what drives the synchronization. The empirical results indicate that: (i) the... more

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    This paper investigates the developments in house price synchronization across countries by a dynamic factor model using a country- and city-level dataset, and examines what drives the synchronization. The empirical results indicate that: (i) the degree of synchronization has been rising since the 1970s, and (ii) a large heterogeneity in the degree of synchronization exists across countries and cities. A panel and cross-sectional regression analysis show that the heterogeneity of synchronization is partly accounted for by the progress in financial and trade openness. Also, the city-level analysis implies that the international synchronization is mainly driven by the city-level connectivity between large and international cities

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
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    ISBN: 9781484378243
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    Series: IMF working paper ; WP/18, 209
    Subjects: Classification Methods; Cluster Analysis; Factor Models; Principal Components
    Scope: 1 Online-Ressource (circa 29 Seiten), Illustrationen
  2. The expenditure composition and tradeoffs in local government budgets
    Author: Iliopoulos, Panagiotis; De Witte, Kristof
    Published: [2023]
    Publisher:  [KU Leuven, Department of Economics], [Leuven]

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    Source: Union catalogues
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    Series: Discussion paper series / KU Leuven, Department of Economics ; DPS23, 17 (October 2023)
    Subjects: Fiscal Policy; Budget Composition; Local Government; Public Choice; Cluster Analysis
    Scope: 1 Online-Ressource (circa 53 Seiten), Illustrationen
  3. Impact of COVID-19
    nowcasting and big data to track economic activity in Sub-Saharan Africa
    Author: Buell, Brandon; Chen, Carissa; Chérif, Réda; Seo, Hyeon-Jae; Tang, Jiawen; Wendt, Nils
    Published: April 2021
    Publisher:  International Monetary Fund, [Washington, D.C.]

    The COVID-19 pandemic underscores the critical need for detailed, timely information on its evolving economic impacts, particularly for Sub-Saharan Africa (SSA) where data availability and lack of generalizable nowcasting methodologies limit efforts... more

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    The COVID-19 pandemic underscores the critical need for detailed, timely information on its evolving economic impacts, particularly for Sub-Saharan Africa (SSA) where data availability and lack of generalizable nowcasting methodologies limit efforts for coordinated policy responses. This paper presents a suite of high frequency and granular country-level indicator tools that can be used to nowcast GDP and track changes in economic activity for countries in SSA. We make two main contributions: (1) demonstration of the predictive power of alternative data variables such as Google search trends and mobile payments, and (2) implementation of two types of modelling methodologies, machine learning and parametric factor models, that have flexibility to incorporate mixed-frequency data variables. We present nowcast results for 2019Q4 and 2020Q1 GDP for Kenya, Nigeria, South Africa, Uganda, and Ghana, and argue that our factor model methodology can be generalized to nowcast and forecast GDP for other SSA countries with limited data availability and shorter timeframes

     
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    Source: Staatsbibliothek zu Berlin
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    ISBN: 9781513582498
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    Series: IMF working paper ; WP/21, 124
    Subjects: COVID-19; Econometric modeling; Economic activity; GDP; Google Search Trends; Mobile payments; NO2; Nowcasting; Short-term forecasting; Classification Methods; Cluster Analysis; Foreign Exchange; Informal Economy; Underground Econom
    Scope: 1 Online-Ressource (circa 61 Seiten), Illustrationen
  4. Estimating the impact of external shocks on the ECCU
    application to the COVID shock
    Author: Parlak, Vivian; Salinas, Gonzalo; Vargas, Mauricio
    Published: August 2021
    Publisher:  International Monetary Fund, [Washington, D.C.]

    We measure the impact of frequent exogeneous shocks on small ECCU economies, including changes to global economic activity, tourism flows, oil prices, passport sales, FDI, and natural disasters. Using Canonical-Correlation Analysis (CCA) and dynamic... more

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    We measure the impact of frequent exogeneous shocks on small ECCU economies, including changes to global economic activity, tourism flows, oil prices, passport sales, FDI, and natural disasters. Using Canonical-Correlation Analysis (CCA) and dynamic panel regression analysis we find significant effects of most of these shocks on output, while only fluctuations in oil prices have significant effects on inflation. Results also suggest a significant impact of FDI and passport sales on the external balance, a link that CCA identifies as the strongest among all analyzed relations. The model also shows how Covid-19 related shocks lead to substantial contractions in output in all ECCU countries and deterioration of the current account balance in most of them, depending on countries' tourism dependency

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
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    ISBN: 9781513585413
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    Series: IMF working paper ; WP/21, 218
    Subjects: Forecasting; ECCU; COVID-19; Growth; Panel-Data; Classification Methods; Cluster Analysis; Factor Models; Multiple or Simultaneous Equation Models; Principal Components
    Scope: 1 Online-Ressource (circa 37 Seiten), Illustrationen
  5. House price synchronization and financial openness
    a dynamic factor model approach
    Author: Katagiri, Mitsuru
    Published: 2018
    Publisher:  International Monetary Fund, [Washington, D.C.]

    This paper investigates the developments in house price synchronization across countries by a dynamic factor model using a country- and city-level dataset, and examines what drives the synchronization. The empirical results indicate that: (i) the... more

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    This paper investigates the developments in house price synchronization across countries by a dynamic factor model using a country- and city-level dataset, and examines what drives the synchronization. The empirical results indicate that: (i) the degree of synchronization has been rising since the 1970s, and (ii) a large heterogeneity in the degree of synchronization exists across countries and cities. A panel and cross-sectional regression analysis show that the heterogeneity of synchronization is partly accounted for by the progress in financial and trade openness. Also, the city-level analysis implies that the international synchronization is mainly driven by the city-level connectivity between large and international cities

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
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    ISBN: 9781484378243
    Other identifier:
    Series: IMF working paper ; WP/18, 209
    Subjects: Classification Methods; Cluster Analysis; Factor Models; Principal Components
    Scope: 1 Online-Ressource (circa 29 Seiten), Illustrationen
  6. The method of market multiples on the valuation of companies
    a multivariate approach
    Author: Couto, José; Brito, Paula; Cerqueira, Antonio
    Published: 2017
    Publisher:  School of Economics and Management, University of Porto, Porto

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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: FEP working papers ; n. 586 (January 2017)
    Subjects: Cluster Analysis; Estimation Errors; Relative Valuation; Method of Multiples; Market Multiples
    Scope: 1 Online-Ressource (circa 44 Seiten), Illustrationen
  7. Fighting COVID-19
    patterns in international data, expanded
    Author: Mariano, Roberto S.; Özmucur, Süleyman
    Published: March 21, 2021
    Publisher:  Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, Philadelphia, PA

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    Source: Union catalogues
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    Media type: Book
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    Series: PIER working paper ; 21, 015
    Subjects: COVID-19; Disaster Index; Data Patterns; Trends; Correlations; Cluster Analysis
    Scope: 1 Online-Ressource (circa 86 Seiten), Illustrationen
  8. Startup types and macroeconomic performance in Europe
    Author: Haas, Ralph de; Sterk, Vincent; Horen, Neeltje van
    Published: 21 June 2022
    Publisher:  Centre for Economic Policy Research, London

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    Series: Array ; DP17400
    Subjects: Startups; Firm entry; Productivity; corporate tax; entrepreneurship; Cluster Analysis
    Scope: 1 Online-Ressource (circa 77 Seiten), Illustrationen
  9. Adoption of eco and circular economy-innovation in Italy
    exploring different firm profiles
    Author: Mazzanti, Massimiliano; Nicolli, Francesco; Pareglio, Stefano; Quatrosi, Marco
    Published: February 2022
    Publisher:  Fondazione Eni Enrico Mattei, Milano, Italia

    Applying clustering techniques, this paper identifies homogeneous groups of enterprises within the heterogeneous landscape of the italian manufacturing tissue. The algorithm will be fed with data from a survey on a cross-section of SMEs in 2019. The... more

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    Applying clustering techniques, this paper identifies homogeneous groups of enterprises within the heterogeneous landscape of the italian manufacturing tissue. The algorithm will be fed with data from a survey on a cross-section of SMEs in 2019. The set of questions span from economic and financial performances to innovation adoption (product, process, organization), to circular economy implementation and environmental protection. Clustering has been chosen to identify groups of firms with respect to multiple and diverse characteristics without any preexisting hypothesis on a possible relationship among the variables. Results will group profiles of enterprises considering the information on multi-dimensional aspects of a firm. Indeed, the overarching aim of this work is to single out common characteristics among the diverse landscape of enterprises within the manufacturing sector. This will in turn support (local and national) policy makers in better designing and targeting an appropriate set of policy instruments with respect to the relevant areas (i.e., circular economy, environmental protection, eco-innovation) of the ecological/sustainability transition. If the one-size-fits-all has not been proved a viable approach in policy making, a more targeted intervention at policy level tackling the consistent heterogeneity of the manufacturing tissue might improve the effectiveness of (sectorial) policies.

     
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    Source: Union catalogues
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    hdl: 10419/263894
    Series: Working paper / Fondazione Eni Enrico Mattei ; 2022, 06
    Subjects: Circular Economy; Sustainable Production; Environmental Innovation; Cluster Analysis; Firm Profile
    Scope: 1 Online-Ressource (circa 21 Seiten)
  10. Grouped variation in factor shares
    an application to misallocation
    Author: Asturias, José; Rossbach, Jack
    Published: [2022]
    Publisher:  U.S. Census Bureau, Center for Economic Studies, Washington, DC

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    Series: Working papers / Center for Economic Studies, U.S. Census Bureau ; 22, 33 (August 2022)
    Subjects: Cluster Analysis; Misallocation
    Scope: 1 Online-Ressource (circa 87 Seiten), Illustrationen
  11. Impact of COVID-19
    nowcasting and big data to track economic activity in Sub-Saharan Africa
    Author: Buell, Brandon; Chen, Carissa; Chérif, Réda; Seo, Hyeon-Jae; Tang, Jiawen; Wendt, Nils
    Published: April 2021
    Publisher:  International Monetary Fund, [Washington, D.C.]

    The COVID-19 pandemic underscores the critical need for detailed, timely information on its evolving economic impacts, particularly for Sub-Saharan Africa (SSA) where data availability and lack of generalizable nowcasting methodologies limit efforts... more

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    The COVID-19 pandemic underscores the critical need for detailed, timely information on its evolving economic impacts, particularly for Sub-Saharan Africa (SSA) where data availability and lack of generalizable nowcasting methodologies limit efforts for coordinated policy responses. This paper presents a suite of high frequency and granular country-level indicator tools that can be used to nowcast GDP and track changes in economic activity for countries in SSA. We make two main contributions: (1) demonstration of the predictive power of alternative data variables such as Google search trends and mobile payments, and (2) implementation of two types of modelling methodologies, machine learning and parametric factor models, that have flexibility to incorporate mixed-frequency data variables. We present nowcast results for 2019Q4 and 2020Q1 GDP for Kenya, Nigeria, South Africa, Uganda, and Ghana, and argue that our factor model methodology can be generalized to nowcast and forecast GDP for other SSA countries with limited data availability and shorter timeframes

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781513582498
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    Series: IMF working paper ; WP/21, 124
    Subjects: COVID-19; Econometric modeling; Economic activity; GDP; Google Search Trends; Mobile payments; NO2; Nowcasting; Short-term forecasting; Classification Methods; Cluster Analysis; Foreign Exchange; Informal Economy; Underground Econom
    Scope: 1 Online-Ressource (circa 61 Seiten), Illustrationen
  12. Estimating the impact of external shocks on the ECCU
    application to the COVID shock
    Author: Parlak, Vivian; Salinas, Gonzalo; Vargas, Mauricio
    Published: August 2021
    Publisher:  International Monetary Fund, [Washington, D.C.]

    We measure the impact of frequent exogeneous shocks on small ECCU economies, including changes to global economic activity, tourism flows, oil prices, passport sales, FDI, and natural disasters. Using Canonical-Correlation Analysis (CCA) and dynamic... more

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    We measure the impact of frequent exogeneous shocks on small ECCU economies, including changes to global economic activity, tourism flows, oil prices, passport sales, FDI, and natural disasters. Using Canonical-Correlation Analysis (CCA) and dynamic panel regression analysis we find significant effects of most of these shocks on output, while only fluctuations in oil prices have significant effects on inflation. Results also suggest a significant impact of FDI and passport sales on the external balance, a link that CCA identifies as the strongest among all analyzed relations. The model also shows how Covid-19 related shocks lead to substantial contractions in output in all ECCU countries and deterioration of the current account balance in most of them, depending on countries' tourism dependency

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781513585413
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    Series: IMF working paper ; WP/21, 218
    Subjects: Forecasting; ECCU; COVID-19; Growth; Panel-Data; Classification Methods; Cluster Analysis; Factor Models; Multiple or Simultaneous Equation Models; Principal Components
    Scope: 1 Online-Ressource (circa 37 Seiten), Illustrationen
  13. A map of the fractal structure of high-tech dynamics across EU regions
    Author: Wirkierman, Ariel; Ciarli, Tommaso; Savona, Maria
    Published: 17 May 2021
    Publisher:  Maastricht Economic and Social Research Institute on Innovation and Technology (UNU-MERIT), Maastricht, The Netherlands

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    Verlag (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    VS 692
    Inter-library loan:
    No inter-library loan
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Working paper series / United Nations University, UNU-MERIT ; #2021, 023
    Subjects: Regional high-tech employment; Regional wage rate differentials; Cluster Analysis; European cohesion policy
    Scope: 1 Online-Ressource (circa 41 Seiten), Illustrationen