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Growth with heterogenous interdependence

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  • Miranda Gualdrón, Karen Alejandra
  • Manjón Antolín, M.
  • Martinez Ibañez, Oscar

Abstract

We present a growth model with spatial interdependencies in the heterogeneous technological progress and the stock of knowledge that, under certain conditions, yields agrowth-initial equation that can be taken to the data. We then use data on EU-NUTS2 regions and a correlated random e ects specication to estimate the resulting spatial Durbin dynamic panel model with spatially weighted individual e ects. QML estimatessupport our model against simpler alternatives that impose a homogeneous technology. Also, our results indicate that rich regions tend to have higher (unobserved) productivityand are likely to stay rich because of the strong time and spatial dependence of the GDP per capita. Poor regions, on the other hand, tend to enjoy productivity spillovers but arelikely to stay poor unless they increase their saving rates.

Suggested Citation

  • Miranda Gualdrón, Karen Alejandra & Manjón Antolín, M. & Martinez Ibañez, Oscar, 2019. "Growth with heterogenous interdependence," DES - Working Papers. Statistics and Econometrics. WS 29023, Universidad Carlos III de Madrid. Departamento de Estadística.
    • Handle: RePEc:cte:wsrepe:29023
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    More about this item

    Keywords

    Correlated Random Effects;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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