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Growth Regressions (growth + regression)
Kinds of Growth Regressions Selected AbstractsINCORPORATING TECHNOLOGY DIFFUSION, FACTOR MOBILITY AND STRUCTURAL CHANGE INTO CROSS-REGION GROWTH REGRESSION: AN APPLICATION TO CHINA,JOURNAL OF REGIONAL SCIENCE, Issue 3 2010Laixiang Sun ABSTRACT This paper advocates a spatial dynamic model that introduces technology diffusion, factor mobility, and structural change into the cross-region growth regression. The spatial setting is derived from theory rather than spatial statistical tests. An application of this model to the study of cross-province growth in China over the period 1980,2005 indicates that incomes are spatially correlated, which highlights the significance of technology diffusion and factor mobility. Furthermore, the integration of neoclassical growth empirics and the structural change perspective of development economics provide a much improved account of interprovincial variations in income levels and economic growth. [source] Tumor R2* is a prognostic indicator of acute radiotherapeutic response in rodent tumorsJOURNAL OF MAGNETIC RESONANCE IMAGING, Issue 4 2004Loreta M. Rodrigues MSc Abstract Purpose To test the prognostic potential of tumor R2* with respect to radiotherapeutic outcome. Blood oxygenation level dependent (BOLD) MRI images are sensitive to changes in deoxyhemoglobin concentration through the transverse MRI relaxation rate R2* of tissue water, hence the quantitative measurement of tumor R2* may be related to tissue oxygenation. Methods and Materials Tumor growth inhibition in response to radiation was established for both GH3 prolactinomas and RIF-1 fibrosarcomas with animals breathing either air or carbogen during radiation. In a separate cohort, the baseline R2* and carbogen (95% O2, 5% CO2)-induced ,R2* of rat GH3 prolactinomas and murine RIF-1 fibrosarcomas were quantified using multigradient echo (MGRE) MRI prior to radiotherapy, and correlated with subsequent tumor growth inhibition in response to ionizing radiation, while the animals breathed air. Results A radiation dose of 15 Gy caused pronounced growth delay in both tumor models and transient regression of the GH3 prolactinomas. When the animals breathed carbogen during radiation, the growth delay/regression was enhanced only in the GH3 prolactinomas. The GH3 prolactinomas, which exhibit a relatively fast baseline R2* and large ,R2* in response to carbogen breathing prior to radiotherapy, showed a substantial reduction in normalized tumor volume to 66 ± 3% with air breathing and 36 ± 5% with carbogen seven days after 15 Gy irradiation. In contrast, the effect of 15 Gy on the RIF-1 fibrosarcomas, which give a relatively slow baseline R2* and negligible ,R2* response to carbogen prior to treatment, showed a much smaller growth inhibition (143 ± 3% with air, 133 ± 12% with carbogen). Conclusion Quantitation of tumor R2* and carbogen-induced ,R2* by MGRE MRI provides completely noninvasive prognostic indicators of a potential acute radiotherapeutic response. J. Magn. Reson. Imaging 2004;19:482,488. © 2004 Wiley-Liss, Inc. [source] INCORPORATING TECHNOLOGY DIFFUSION, FACTOR MOBILITY AND STRUCTURAL CHANGE INTO CROSS-REGION GROWTH REGRESSION: AN APPLICATION TO CHINA,JOURNAL OF REGIONAL SCIENCE, Issue 3 2010Laixiang Sun ABSTRACT This paper advocates a spatial dynamic model that introduces technology diffusion, factor mobility, and structural change into the cross-region growth regression. The spatial setting is derived from theory rather than spatial statistical tests. An application of this model to the study of cross-province growth in China over the period 1980,2005 indicates that incomes are spatially correlated, which highlights the significance of technology diffusion and factor mobility. Furthermore, the integration of neoclassical growth empirics and the structural change perspective of development economics provide a much improved account of interprovincial variations in income levels and economic growth. [source] The Solow model with CES technology: nonlinearities and parameter heterogeneityJOURNAL OF APPLIED ECONOMETRICS, Issue 2 2004Winford H. Masanjala This paper examines whether nonlinearities in the aggregate production function can explain parameter heterogeneity in the Solow growth regressions. Nonlinearities in the production technology are introduced by replacing the commonly used Cobb,Douglas (CD) aggregated production specification with the more general Constant-Elasticity-of-Substitution (CES) specification. We first justify our choice of production function by showing that cross-country regressions favour the CES over the CD technology. Then, by using an endogenous threshold methodology we show that the Solow model with CES technology is consistent with the existence of multiple regimes. Copyright © 2004 John Wiley & Sons, Ltd. [source] Model uncertainty in cross-country growth regressionsJOURNAL OF APPLIED ECONOMETRICS, Issue 5 2001Carmen Fernández We investigate the issue of model uncertainty in cross-country growth regressions using Bayesian Model Averaging (BMA). We find that the posterior probability is spread widely among many models, suggesting the superiority of BMA over choosing any single model. Out-of-sample predictive results support this claim. In contrast to Levine and Renelt (1992), our results broadly support the more ,optimistic' conclusion of Sala-i-Martin (1997b), namely that some variables are important regressors for explaining cross-country growth patterns. However, care should be taken in the methodology employed. The approach proposed here is firmly grounded in statistical theory and immediately leads to posterior and predictive inference. Copyright © 2001 John Wiley & Sons, Ltd. [source] The Principal Components of Growth in the Less Developed CountriesKYKLOS INTERNATIONAL REVIEW OF SOCIAL SCIENCES, Issue 4 2008Derek Headey SUMMMARY This paper re-examines the international evidence on the sources of growth in less developed countries (LDCs) using exploratory factor analysis (EFA). Although EFA was first used in the development context by Adelman and Morris (1967) it has rarely been used since, despite being ideally suited to a context in which a large number of latent factors have been hypothesized to determine growth, and in which an even greater number of imperfectly measured and multicollinear proxies have been used to measure these latent factors. This paper uses EFA to minimize these problems of omitted variables biases, multicollinearity and measurement error, by reducing a large array of hypothesized growth determinants into a parsimonious and non-collinear set of composite indices. The paper then provides theoretical interpretations of the derived indices, tests their statistical significance and quantitative importance in otherwise conventional growth regressions, and uses these results to reappraise the usefulness of cross-country empirics in deriving robust, policy-relevant knowledge of the principal components of growth in LDCs, including the so called ,economic miracles'. [source] Economic Growth and Potential Punishment Under DictatorshipKYKLOS INTERNATIONAL REVIEW OF SOCIAL SCIENCES, Issue 2 2007Abel Escribà-Folch SUMMARY This paper explores whether the probability of being punished after losing power leads dictators to restrain their level of predation and, thus, increase economic growth. To do so, a simple model of predatory rule is developed, and the consequences of an increasing probability of punishment after loosing power explored. New data on dictators' post-exit fate have permitted to estimate the predicted probability of punishment taking place by using multinomial logit. Outgoing dictators' strength and the international context are shown to be the main determinants of post-exit scenarios. The probability of punishment is proven to have a positive and significant effect on the rate of growth of GDP under alternative specifications of growth regressions. [source] Does corporate ownership structure matter for economic growth?MANAGERIAL AND DECISION ECONOMICS, Issue 3 2009A cross-country analysis The role of corporations in allocating resources has been of great importance in the debate about the manner in which enterprises should be governed to enhance economic growth. Corporate governance features seem to be central to the dynamics by which successful firms and economies improve their performance over time as well as relative to each other. In this paper we try to clarify the relationship between corporate ownership structure and output growth by using the data of La Porta et al. (J. Finance 1999; LIV: 471,517) on ownership structure of large- and medium-sized corporations in 27 economies. To search for empirical linkages, we use cross-country growth regressions. The evidence provided in the paper suggests that an environment with a higher percentage of directly and indirectly widely held companies and a lower degree of state than private ownership is associated with a higher growth rate of per capita income. We also conclude that a higher degree of institutional investment does not seem to enhance the growth performance of an economy. Copyright © 2008 John Wiley & Sons, Ltd. [source] Resource abundance vs. resource dependence in cross-country growth regressionsOPEC ENERGY REVIEW, Issue 2 2010Annika Kropf Having analysed the macroeconomic performance of large oil exporters, I found that, in many cases, rents from natural resources have been successfully used to enhance economic growth. Nevertheless, adherents of the ,resource curse' seem to have found ample evidence suggesting that resource-abundant countries grow slower than resource-poor countries. A review of empirical research on the ,resource curse' reveals that the variables used were usually proxies for resource dependence. These variables introduce a bias, making less developed economies per se more resource ,abundant' than developed economies. As a consequence, a new variable, not containing any information on a country's stage of development, was introduced. Comparing the variables on resource dependence and resource abundance in a model by Sachs and Warner, resource abundance was not significant. In a new model, resource abundance was even positively correlated with growth. [source] A non-linear sensitivity analysis of cross-country growth regressionsCANADIAN JOURNAL OF ECONOMICS, Issue 3 2000Pantelis Kalaitzidakis We extend the sensitivity analysis of cross-country growth regressions of Levine and Renelt (1992) by introducing a semi-parametric formulation of their regression function. Our results differ from theirs in how certain policy variables affect growth rates. We find that distortion variables, such as the standard deviation of gross domestic credit and inflation and real exchange rate distortions, have a robust negative effect on growth. JEL Classification: O47, C14 Une analyse de sensibilité non-linéaire des régressions de croissance pour divers pays. Les auteurs utilisent une formulation semi-paramétrique des équations de croissance de Levine et Renelt (1992) pour divers pays afin de rendre leur analyse de sensibilité plus compréhensive. Les résultats different de ceux de Levine et Renelt en ce que certaines variables de politique affectent les taux de croissance. On découvre que certains facteurs comme l'écart type du crédit intérieur brut et de l'inflation, et des distorsions des taux de change réels, ont un effet négatif important sur la croissance. [source] We Ran One Regression,OXFORD BULLETIN OF ECONOMICS & STATISTICS, Issue 5 2004David F. Hendry The controversy over the selection of ,growth regressions' was precipitated by some remarkably numerous ,estimation' strategies, including two million regressions by Sala-i-Martin [American Economic Review (1997b) Vol. 87, pp. 178,183]. Only one regression is really needed, namely the general unrestricted model, appropriately reduced to a parsimonious encompassing, congruent representation. We corroborate the findings of Hoover and Perez [Oxford Bulletin of Economics and Statistics (2004) Vol. 66], who also adopt an automatic general-to-simple approach, despite the complications of data imputation. Such an outcome was also achieved in just one run of PcGets, within a few minutes of receiving the data set in Fernández, Ley and Steel [Journal of Applied Econometrics (2001) Vol. 16, pp. 563,576] from Professor Ley. [source] |