世界経済・社会統計 = World development indicators

Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

https://hal.archives-ouvertes.fr/hal-02148483/document

Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis.

This paper investigates the asymmetric relationship between energy consumption and economic growth by incorporating financial development, capital and labour into a production function covering the Indian economy from 1960Q1–2015Q4. The nonlinear autoregressive distributed lag bounds testing approach is applied to examine the asymmetric cointegration between the variables. An asymmetric causality test is also employed to examine the causal association between the considered variables. The results indicate cointegration between the variables in the presence of asymmetries. The asymmetric causality results show that only negative shocks in energy consumption have impacts on economic growth. In the same vein, only negative shocks in financial development have impacts on economic growth. By contrast, symmetrically, capital formation causes economic growth. Finally, over the study period, a neutral effect exists between the labour force and economic growth in India. The implications of these results for growth policies in India are also discussed.

Energy Consumption, Financial Development and Economic Growth in India: New Evidence from a Nonlinear and Asymmetric Analysis

Telecommunications Infrastructure and Economic Development: A Simultaneous Approach

In this study, we investigate the role of infrastructure in economic growth in India for the period 1970–2006 on the basis of the empirical framework developed by D.A. Aschauer (Is public expenditure productive? Journal of monetary economics, 23 (2), 1989, 177–200). In this context, we develop an index of infrastructure stocks and estimate growth-accounting equations to investigate the impact of infrastructure development on output. Overall, the results reveal that infrastructure stocks, labour force and total investment play an important role in economic growth in India. More importantly, we find that infrastructure development in India has a significant positive contribution toward growth than both private and public investments. Further, causality analysis shows that there is unidirectional causality from infrastructure development to output growth. From a policy perspective, there should be greater emphasis on infrastructure development to sustain the high economic growth which the Indian economy has ...

Infrastructure development and economic growth in India

We examine the output elasticity of infrastructure for four South Asian countries viz., India, Pakistan, Bangladesh, and Sri Lanka using panel cointegration techniques for the period 1980–2005. In this context, we develop an index of infrastructure stocks and investigate the impact of infrastructure on output. The study finds a long-run equilibrium relationship between output and infrastructure along with other relevant variables, such as gross domestic capital formation (GDCF), labor force, international trade and human capital. The results reveal that GDCF, labor force, export and expenditure on human capital exhibit a positive contribution to output. More importantly, infrastructure development contributes significantly to output growth in South Asia. Further, the panel causality analysis shows that there is mutual feedback between total output and infrastructure development.

Economic growth in south asia: role of infrastructure

Foreign Direct Investment in South Asia

The paper investigates the role of infrastructure in promoting economic growth in China using ARDL and GMM techniques for the period 1975 to 2007. In this context, an attempt is made to understand growth accounting equations to investigate the impact of infrastructure development on output. Overall, the results reveal that infrastructure stock, labour force, public and private investment play an important role in economic growth in China. More importantly, the study finds that Infrastructure development in China has significant positive contribution to growth than both private and public investment. Further, there is unidirectional causality from infrastructure development to output growth justifying China's high spending on infrastructure development since the early nineties. The experience from China suggests that it is necessary to design an economic policy that improves the physical infrastructure as well as human capital formation for sustainable economic growth in developing countries.Keywords: China, Infrastructure Development, Investment, Output GrowthJEL classification: H4, H54, L9, O1(ProQuest: ... denotes formulae omitted.)1. INTRODUCTIONChina is the fastest growing country in the world for last few decades and accounts for nearly one fifth of the world population. Economic growth in China increased from 7.5% during 1970 to 1999 to over 10% per annum between 1999 to 2008. This has attracted many scholars to examine the major determinates of growth in China. Over the last two decades, academic research has devoted considerable attention to the role of trade and Foreign Direct Investment (FDI) in promoting growth. However, the role of infrastructure and human capital development has been neglected. Therefore, this paper offers an empirical assessment of the impact of infrastructure and human capital development on growth in the case of China.The role of infrastructure in enhancing economic development has been well documented both in the academic literature and in the policy debate (Aschauer, 1989; Munnell, 1990; World Bank, 1994; Calderon and Serven, 2003; Estache, 2006; Sahoo, 2006; Sahoo and Dash, 2010; and 2011). More recently, increasing attention has also been paid to the impact of infrastructure on poverty and inequality (World Bank, 2006). Further, it has been found that social infrastructure such as education, health, and housing are essential to promote better utilization of physical infrastructure and human resources, thereby leading to higher economic growth and improving quality of life (Hall and Jones, 1999).Over the past two decades, one of the defining features of China's growth has been investment led growth supported by domestic savings. China's sustained high economic growth and increased competitiveness has been underpinned by a massive development of physical infrastructure (Chatterjee, 2005; Stephane et al., 2007). The open economic policy made it possible for the inflow of foreign direct investment (FDI) mainly to the manufacturing sector. Cheap labour and better than adequate infrastructure were important pre-requisites that led to a successful the export-led growth strategy. With seemingly unlimited supply of cheap labour from the rural sector, public investment in infrastructure became the keystone in the strategy. A major focus by the government at all levels on infrastructure thus ensued.1Though infrastructure development certainly helped export-led economic growth in China, the Chinese economy started showing signs of overheating in recent years because of basic infrastructure constraints. Clearly, there is an increasing gap between the potential demand and the available supply of infrastructure to sustain high growth. Given the importance of infrastructure development for sustainable economic growth and poverty reduction in China, the present study examines the output elasticity of infrastructure development in China for the period 1970-2008. …

Ranjan Kumar Dash

Papers

Infrastructure development and economic growth in India

Economic growth in south asia: role of infrastructure

Foreign Direct Investment in South Asia

China’s growth story: the role of physical and social infrastructure

Savings behaviour in South Asia