IDEAS home Printed from https://ideas.repec.org/p/aah/create/2012-26.html
   My bibliography  Save this paper

Measuring Convergence using Dynamic Equilibrium Models: Evidence from Chinese Provinces

Author

Listed:
  • Lei Pan

    (Wageningen University)

  • Olaf Posch

    (Aarhus University and CREATES)

  • Michel van der Wel

    (Erasmus University Rotterdam and CREATES)

Abstract

We propose a model to study economic convergence in the tradition of neoclassical growth theory. We employ a novel stochastic set-up of the Solow (1956) model with shocks to both capital and labor. Our novel approach identifies the speed of convergence directly from estimating the parameters which determine equilibrium dynamics. The inference on the structural parameters is done using a maximum-likelihood approach. We estimate our model using growth and population data for China’s provinces from 1978 to 2010. We report heterogeneity in the speed of convergence both across provinces and time. The Eastern provinces show a higher tendency of convergence, while there is no evidence of convergence for the Central and Western provinces. We find empirical evidence that the speed of convergence decreases over time for most provinces.

Suggested Citation

  • Lei Pan & Olaf Posch & Michel van der Wel, 2012. "Measuring Convergence using Dynamic Equilibrium Models: Evidence from Chinese Provinces," CREATES Research Papers 2012-26, Department of Economics and Business Economics, Aarhus University.
    • Handle: RePEc:aah:create:2012-26
    as

    Download full text from publisher

    File URL: https://repec.econ.au.dk/repec/creates/rp/12/rp12_26.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Economic convergence; Dynamic stochastic equilibrium models; Solow model; Structural estimation;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aah:create:2012-26. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: http://www.econ.au.dk/afn/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.