: Macarena Hernández Salmerón, Diego Romero-Ávila
: Convergence in Output and Its Sources Among Industrialised Countries A Cross-Country Time-Series Perspective
: Springer-Verlag
: 9783319136356
: 1
: CHF 47.70
:
: Volkswirtschaft
: English
: 79
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF

This book investigates the existence of stochastic and deterministic convergence of real output per worker and the sources of output (physical capital per worker, human capital per worker, total factor productivity -TFP- and average annual hours worked) in 21 OECD countries over the period 1970-2011. Towards this end, the authors apply a large battery of panel unit root and stationarity tests, all of which are robust to the presence of cross-sectional dependence. The evidence fails to provide clear-cut evidence of convergence dynamics either in real GDP per worker or in the series of the sources of output. Due to some limitations associated with second-generation panel unit root and stationarity tests, the authors further use the more flexible PANIC approach which provides evidence that real GDP per worker, real physical capital per worker, human capital and average annual hours exhibit some degree of deterministic convergence, whereas TFP series display a high degree of stochastic convergence.



Macarena Hernández Salmerón is Research Fellow at Pablo de Olavide University. Her research interests lie in the fields of Macroeconomics and Development Economics. She works as a regional economy analyst for the Regional Government of Andalusia and has participated in several publications of the Economics, Innovation, Science and Employment Department about the Andalusian economy.

Diego Romero-Ávila is Associate Professor at Pablo de Olavide University. He has been Research Fellow at the European Central Bank and Visiting Professor at Vienna University of Economics and Business. His research interests lie in the fields of Macroeconomics and Development Economics. He has published articles in such academic journals as International Economic Review, Journal of Law and Economics, Journal of Money, Credit and Banking, Canadian Journal of Economics, World Development, Economic Inquiry, Journal of Banking and Finance and European Journal of Political Economy, among others.

Acknowledgments6
Contents7
Abstract9
1 Introduction10
Abstract10
2 Model Specification and Data17
Abstract17
2.1 Model Specification and Definitions of Convergence17
2.2 Data Description20
3 Econometric Methods23
Abstract23
3.1 Test for Cross-Sectional Dependence in Panels23
3.2 Panel Unit Root and Stationarity Tests with Cross-Sectional Dependence24
3.2.1 Smith et al. (2004) Panel Unit Root Statistics24
3.2.2 Breitung and Das (2005) Panel Unit Root Test26
3.2.3 Chang (2002) Panel Unit Root Tests26
3.2.4 Hadri (2000) Panel Stationarity Statistic27
3.2.5 Choi (2002) Panel Unit Root Tests28
3.2.6 Moon and Perron (2004) Panel Unit Root Statistics29
3.2.7 Pesaran (2007) Panel Unit Root Statistics30
3.2.8 Harris et al. (2005) Panel Stationarity Statistic31
4 Empirical Results33
Abstract33
4.1 Initial Results Regarding sigma -Convergence33
4.2 Results Regarding Cross-Sectional Dependence38
4.3 Analysis of Stochastic Convergence40
4.3.1 Convergence in Real GDP per Worker40
4.3.2 Convergence in the Sources of Output per Worker44
4.4 Analysis of Deterministic Convergence50
5 PANIC Approach53
Abstract53
5.1 Methodological and Conceptual Limitations of the Previous Analysis53
5.2 PANIC Methodology56
5.2.1 Analysis of the Idiosyncratic Component57
5.2.2 Analysis of the Common Component58
6 PANIC Results60
Abstract60
6.1 Determining the Optimal Number of Common Factors60
6.2 Applying the PANIC Approach to Log Real GDP per Worker and Its Sources62
6.2.1 PANIC Analysis of Stochastic Convergence68
6.2.2 PANIC Analysis of Deterministic Convergence69
6.3 Discussion of Results70
7 Concluding Remarks71
Abstract71
References76