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A Non‐parametric Estimation of Productivity with Idiosyncratic and Aggregate Shocks: The Role of Research and Development (R&D) and Corporate Tax: The Role of Research and Development (R&D) and Corporate Tax

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A Non‐parametric Estimation of Productivity with Idiosyncratic and Aggregate Shocks: The Role of Research and Development (R&D) and Corporate Tax: The Role of Research and Development (R&D) and Corporate Tax. / Bournakis, I.; Tsionas, M.
In: Oxford Bulletin of Economics and Statistics, Vol. 86, No. 3, 12.01.2024, p. 641-671.

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@article{216d42333d964997bd5c2859f214e13a,
title = "A Non‐parametric Estimation of Productivity with Idiosyncratic and Aggregate Shocks: The Role of Research and Development (R&D) and Corporate Tax: The Role of Research and Development (R&D) and Corporate Tax",
abstract = "We develop a non-parametric technique framework for estimating firm-level Total Factor Productivity (TFP). Our paper has two major novelties: first, we propose a modelling of productivity with both firm-idiosyncratic factors and aggregate shocks. Second, we apply the Bayesian Markov Chain Monte Carlo (MCMC) technique that offers a numerical integration of productivity outside the posterior overcoming the restrictive assumptions about the relationship between productivity and variable production inputs. We implement our methodology in a group of 4,286 manufacturing firms from France, Germany, Italy, and the UK (2001–14). The results show that: (i) aggregate shocks matter for firm TFP evolution. The global financial crisis of 2008 caused severe, albeit short, adverse effects on TFP; (ii) there is substantial heterogeneity across countries in the way firms react to changes in R&D and taxation. German and UK firms are more sensitive to fiscal changes than R&D, while the opposite is true for Italian firms. R&D and taxation effects are symmetrical for French firms; (iii) the UK productivity handicap continues for years after the financial crisis; and (iv) there are substantial knowledge spillovers among German and Italian firms.",
author = "I. Bournakis and M. Tsionas",
year = "2024",
month = jan,
day = "12",
doi = "10.1111/obes.12594",
language = "English",
volume = "86",
pages = "641--671",
journal = "Oxford Bulletin of Economics and Statistics",
issn = "0305-9049",
publisher = "Wiley-Blackwell",
number = "3",

}

RIS

TY - JOUR

T1 - A Non‐parametric Estimation of Productivity with Idiosyncratic and Aggregate Shocks: The Role of Research and Development (R&D) and Corporate Tax

T2 - The Role of Research and Development (R&D) and Corporate Tax

AU - Bournakis, I.

AU - Tsionas, M.

PY - 2024/1/12

Y1 - 2024/1/12

N2 - We develop a non-parametric technique framework for estimating firm-level Total Factor Productivity (TFP). Our paper has two major novelties: first, we propose a modelling of productivity with both firm-idiosyncratic factors and aggregate shocks. Second, we apply the Bayesian Markov Chain Monte Carlo (MCMC) technique that offers a numerical integration of productivity outside the posterior overcoming the restrictive assumptions about the relationship between productivity and variable production inputs. We implement our methodology in a group of 4,286 manufacturing firms from France, Germany, Italy, and the UK (2001–14). The results show that: (i) aggregate shocks matter for firm TFP evolution. The global financial crisis of 2008 caused severe, albeit short, adverse effects on TFP; (ii) there is substantial heterogeneity across countries in the way firms react to changes in R&D and taxation. German and UK firms are more sensitive to fiscal changes than R&D, while the opposite is true for Italian firms. R&D and taxation effects are symmetrical for French firms; (iii) the UK productivity handicap continues for years after the financial crisis; and (iv) there are substantial knowledge spillovers among German and Italian firms.

AB - We develop a non-parametric technique framework for estimating firm-level Total Factor Productivity (TFP). Our paper has two major novelties: first, we propose a modelling of productivity with both firm-idiosyncratic factors and aggregate shocks. Second, we apply the Bayesian Markov Chain Monte Carlo (MCMC) technique that offers a numerical integration of productivity outside the posterior overcoming the restrictive assumptions about the relationship between productivity and variable production inputs. We implement our methodology in a group of 4,286 manufacturing firms from France, Germany, Italy, and the UK (2001–14). The results show that: (i) aggregate shocks matter for firm TFP evolution. The global financial crisis of 2008 caused severe, albeit short, adverse effects on TFP; (ii) there is substantial heterogeneity across countries in the way firms react to changes in R&D and taxation. German and UK firms are more sensitive to fiscal changes than R&D, while the opposite is true for Italian firms. R&D and taxation effects are symmetrical for French firms; (iii) the UK productivity handicap continues for years after the financial crisis; and (iv) there are substantial knowledge spillovers among German and Italian firms.

U2 - 10.1111/obes.12594

DO - 10.1111/obes.12594

M3 - Journal article

VL - 86

SP - 641

EP - 671

JO - Oxford Bulletin of Economics and Statistics

JF - Oxford Bulletin of Economics and Statistics

SN - 0305-9049

IS - 3

ER -