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  1. Bayesian estimation of multivariate panel probits with higher-order network interdependence and an application to firms' global market participation in Guangdong
    Autor*in: Baltagi, Badi H.; Egger, Peter; Kesina, Michaela
    Erschienen: February 2022
    Verlag:  CESifo, Center for Economic Studies & Ifo Institute, Munich, Germany

    This paper proposes a Bayesian estimation framework for panel-data sets with binary dependent variables where a large number of cross-sectional units is observed over a short period of time, and cross-sectional units are interdependent in more than a... mehr

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    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 63
    Fernleihe:
    keine Fernleihe

     

    This paper proposes a Bayesian estimation framework for panel-data sets with binary dependent variables where a large number of cross-sectional units is observed over a short period of time, and cross-sectional units are interdependent in more than a single network domain. The latter provides for a substantial degree of flexibility towards modelling the decay function in network neighbourliness (e.g., by disentangling the importance of rings of neighbors) or towards allowing for several channels of interdependence whose relative importance is unknown ex ante. Besides the flexible parameterization of cross-sectional dependence, the approach allows for simultaneity of the equations. These features should make the approach interesting for applications in a host of contexts involving structural and reduced-form models of multivariate choice problems at micro-, meso-, and macroeconomic levels. The paper outlines the estimation approach, illustrates its suitability by simulation examples, and provides an application to study exporting and foreign ownership among potentially interdependent firms in the specialized and transport machinery sector in the province of Guangdong.

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/252096
    Schriftenreihe: CESifo working paper ; no. 9579 (2022)
    Schlagworte: network models; spatial models; higher-order network interdependence; multivariate panel probit; Bayesian estimation; firm-level data; Chinese firms
    Umfang: 1 Online-Ressource (circa 36 Seiten), Illustrationen
  2. Contagious exporting and foreign ownership
    evidence from firms in Shanghai using a Bayesian spatial bivariate probit model
    Autor*in: Baltagi, Badi H.; Egger, Peter; Kesina, Michaela
    Erschienen: 2018
    Verlag:  CESifo, Center for Economic Studies & Ifo Institute, Munich

    Whether a firm is able to attract foreign capital and whether it may participate at the export market depends on whether the fixed costs associated with doing so are at least covered by the incremental operating profits. This paper provides evidence... mehr

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    Staats- und Universitätsbibliothek Bremen
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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 63 (6993)
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    Whether a firm is able to attract foreign capital and whether it may participate at the export market depends on whether the fixed costs associated with doing so are at least covered by the incremental operating profits. This paper provides evidence that success for some firms in attracting foreign investors and in exporting appears to reduce the associated fixed costs with exporting or foreign ownership in other firms. Using data on 8,959 firms located in Shanghai, we find that contagion and spillovers in exporting and in foreign ownership decisions within an area of 10 miles in the city of Shanghai amplify fixed-cost reductions for both exporting as well as foreign ownership of neighboring firms. Contagion among exporters and among foreign-owned firms, respectively, amplify shocks to the profitability of these activities to a large extent. These findings are established through the estimation of a spatial bivariate probit model.

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/180255
    Schriftenreihe: Array ; no. 6993
    Umfang: 1 Online-Ressource (circa 52 Seiten), Illustrationen
  3. Sources of productivity spillovers
    panel data evidence from China
    Autor*in: Baltagi, Badi H.; Egger, Peter; Kesina, Michaela
    Erschienen: 2014
    Verlag:  CESifo, München

    This paper assesses sources of productivity spillovers in China's electric and electronic manufacturing industry using a rich panel data-set of 25,360 firms observed over the period 2004-2007. This industry is characterized by its important reliance... mehr

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    Niedersächsische Staats- und Universitätsbibliothek Göttingen
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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    DS 63 (4812)
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    This paper assesses sources of productivity spillovers in China's electric and electronic manufacturing industry using a rich panel data-set of 25,360 firms observed over the period 2004-2007. This industry is characterized by its important reliance on technology. In particular, the paper focuses on the role of other firms' productivity as well as productivity shifters in affecting own firm-level total factor productivity. In addition, this paper examines the possible difference between spillovers from foreign-owned units and from units which participate at global markets through exporting in comparison to domestically-owned and non-exporting units. We find evidence of stronger spillovers from exporting firms than from non-exporting firms. This is true for foreign-owned as well as domestic exporters. The strength of the spillover effects differ across subsectors.

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/102152
    Schriftenreihe: Array ; 4812
    Umfang: Online-Ressource ([1], 28, [6] S.), Kt.
  4. Firm-level productivity spillovers in China's chemical industry
    a spatial Hausman-Taylor approach
    Autor*in: Baltagi, Badi H.; Egger, Peter; Kesina, Michaela
    Erschienen: 2014
    Verlag:  CESifo, München

    This paper assesses the role of intra-sectoral spillovers in total factor productivity across Chinese producers in the chemical industry. We use a rich panel data-set of 12,552 firms observed over the period 2004 - 2006 and model output by the firm... mehr

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    Staats- und Universitätsbibliothek Bremen
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    Standort:
    Niedersächsische Staats- und Universitätsbibliothek Göttingen
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    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 63 (5114)
    Fernleihe:
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    This paper assesses the role of intra-sectoral spillovers in total factor productivity across Chinese producers in the chemical industry. We use a rich panel data-set of 12,552 firms observed over the period 2004 - 2006 and model output by the firm as a function of skilled and unskilled labor, capital, materials, and total factor productivity, which is broadly defined. The latter is a composite of observable factors such as export market participation, foreign as well as public ownership, the extent of accumulated intangible assets, and unobservable total factor productivity. Despite the richness of our data-set, it suffers from the lack of time variation in the number of skilled workers as well as in the variable indicating public ownership. We introduce spatial spillovers in total factor productivity through contextual effects of observable variables as well as spatial dependence of the disturbances. We extend the Hausman and Taylor (1981) estimator to account for spatial correlation in the error term. This approach permits estimating the effect of time-invariant variables which are wiped out by the fixed effects estimator. While the original Hausman and Taylor (1981) estimator assumes homoskedastic error components, we provide spatial variants that allow for both homoskedasticity and heteroskedasticity. Monte Carlo results show, that our estimation procedure performs well in small samples. We find evidence of positive spillovers across chemical manufacturers and a large and significant detrimental effect of public ownership on total factor productivity.

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/107303
    Schriftenreihe: Array ; 5114
    Schlagworte: Technologietransfer; Spillover-Effekt; Produktivitätsentwicklung; Chemieindustrie; Panel; Schätzung; China
    Umfang: Online-Ressource ([1], S.), Kt.
  5. Four essays on the estimation time-invariant variables in panel data models
    Autor*in: Kesina, Michaela
    Erschienen: 2015
    Verlag:  KOF, Zürich

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Dissertation
    Format: Druck
    Weitere Identifier:
    Diss. ETH No. 22486
    Schriftenreihe: KOF dissertation series ; 24
    Schlagworte: Lineare Regression; Panel; Hausman Taylor model
    Umfang: XII, 155 S., graph. Darst.
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    Enth. 4 Beitr

    Zsfassung in dt. Sprache

    Zugl.: Zürich, Eidgenössische Techn. Hochsch., Diss., 2015