Knowledge,technological convergence and economic growth: a dynamic panel data analysis of Middle East and North Africa and Latin America

Quality & Quantity - This paper aims to investigate the role of various knowledge indicators, such as research and development, information and communication technologies and trade, in the...     

Income convergence within the MENA countries: A panel unit root approach

This article aims at testing the convergence hypothesis in MENA region using new tests of a unit root in panel data. Evans and Karras [Evans P., & Karras G. (1996). Convergence revisited. Journal of Monetary Economics, 37, 249–265] and Bernard and Jones [Bernard A., & Jones C. I. (1996). Productivity across industries and countries: Time series theory and evidence. The Review of Economics and Statistics, 135–146] recommend this technique to evaluate the income convergence hypothesis. According to them it avoids econometric problems of the cross-countries growth regressions testing convergence and sample bias of the multivariate cointegration techniques. We test for both absolute and the conditional convergence with panel unit root tests using the Summers and Heston's data 5.6 and 6.1 on the periods of 1960 to 1990 and from 1960 to 2000. The absolute convergence hypothesis use panel unit roots test with no fixed individual effects. The catching-up hypothesis is not rejected for most groups of countries of the region during both periods. If we allow a break in the unit root tests, the hypothesis is not rejected for more groups. The conditional convergence requires panel unit root tests with fixed individual effects. Again, during the whole periods, the conditional convergence is not rejected for the major part of the remaining groups of MENA countries.     

Remittances and economic growth: A study of Guyana

Using an augmented Solow framework and an ARDL bounds test for cointegration, we explore the short- and long-run effects of remittances, aid and financial deepening on growth in Guyana using annual data for the period 1982–2010. The results show that remittances have a positive and significant effect both in the short and the long run. Aid has a negative effect in the long run and financial deepening is not statistically significant. The Granger-causality test reveals that capital stock, aid and financial deepening cause remittances inflow in Guyana.     

The heterogeneous impact of taxation on economic development: New insights from a panel cointegration approach

In this paper, we study the role of taxation on long-run income performance. In the theoretical part of the study, we develop a stylized model based on Barro (1990), in which income taxation has two contradictory roles in the standard Solow (1956) setup: on the one hand, taxation appropriates resources that would otherwise be used for physical capital accumulation, and on the other, it is the source of government spending, which is used to support private production. In the empirical part of the study, the impact of consumption tax, personal income tax, corporate profit tax and property tax on income is estimated using the common correlated effects (CCE) panel cointegration approach, which allows for cross-sectional dependencies and provides both panel- and country-specific results. The panel findings for 30 OECD countries for the period of 1995–2016 indicate that only consumption tax has a statistically significant negative effect on long-run income. However, because the type and sign of the tax coefficients are heterogeneous for the country-specific results, we conclude that taxation has heterogeneous effects on income.     

Testing the impact of educational expenditures on economic growth: new evidence from Latin American countries

This paper investigates the impact of educational expenditures on economic growth for 18 Latin American countries over the period 1970–2009 by using cointegration test procedure in the presence of two unknown structural breaks. Considering structural breaks is necessary for our analysis because of that Latin American countries implemented important reforms to expand their educational systems and these reforms may affect the cointegrating relationship. The findings indicate that there is evidence of cointegrating relationship between educational expenditures and economic growth for the considered countries except Chile, Guyana, Jamaica, Nicaragua, Paraguay, Peru and Uruguay. Another finding of the paper is that identified structural breaks refer to the educational reform periods of Latin American countries.     

Testing for a unit root in a random coefficient panel data model

This paper proposes new unit root tests in the context of a random autoregressive coefficient panel data model, in which the null of a unit root corresponds to the joint restriction that the autoregressive coefficient has unit mean and zero variance. The asymptotic distributions of the test statistics are derived and simulation results are provided to suggest that they perform very well in small samples.     

Corruption, economic growth, and income inequality in Africa

This paper uses panel data from African countries and a dynamic panel estimator to investigate the effects of corruption on economic growth and income distribution. I find that corruption decreases economic growth directly and indirectly through decreased investment in physical capital. A unit increase in corruption reduces the growth rates of GDP and per capita income by between 0.75 and 0.9 percentage points and between 0.39 and 0.41 percentage points per year respectively. The results also indicate that increased corruption is positively correlated with income inequality. The combined effects of decreased income growth and increased inequality suggests that corruption hurts the poor more than the rich in African countries. Received: March 19, 2001 / Accepted: December 14, 2001 RID="*" ID="*" An earlier version of this paper was presented at the first AmFiTan International Conference on Development Ethics in February 2000, Dar er Salaam, Tanzania. I thank two anonymous referees of this Journal for helpful suggestions. I am, however, solely responsible for any remaining errors.     

Taking a new contour: A novel approach to panel unit root tests

The paper introduces a novel approach to testing for unit roots in panels, which takes a new contour that is drawn along the line given by the equi-squared-sum instead of the traditional one given by the equi-sample-size. We show in the paper that the distributions of the unit root tests are asymptotically normal along the new contour under both the null and the local-to-unity alternatives. Subsequently, we demonstrate that this startling finding may be exploited constructively to invent tools and methodologies for effective inferences in panel unit root models. Simulations show that our approach works quite well in finite samples.     

The effect of data transformation on common cycle,cointegration, and unit root tests: Monte Carlo results and a simple test

Cointegration, common cycle, and related tests statistics are often constructed using logged data, even without clear reason why logs should be used rather than levels. Unfortunately, it is also the case that standard data transformation tests, such as those based on Box–Cox transformations, cannot be shown to be consistent unless assumptions concerning whether variables I(0)$I(0)$ or I(1)$I(1)$ are made. In this paper, we propose a simple randomized procedure for choosing between levels and log-levels specifications in the (possible) presence of deterministic and/or stochastic trends, and discuss the impact of incorrect data transformation on common cycle, cointegration and unit root tests.     

Beyond panel unit root tests: Using multiple testing to determine the nonstationarity properties of individual series in a panel

Most panel unit root tests are designed to test the joint null hypothesis of a unit root for each individual series in a panel. After a rejection, it will often be of interest to identify which series can be deemed to be stationary and which series can be deemed nonstationary. Researchers will sometimes carry out this classification on the basis of n$n$ individual (univariate) unit root tests based on some ad hoc significance level. In this paper, we suggest and demonstrate how to use the false discovery rate (FDR)$\left(FDR\right)$ in evaluating I(1)/I(0)$I\left(1\right)/I\left(0\right)$ classifications.     

A cointegration approach to modeling human capital formation,self-employment,and economic growth: evidence from Pakistan

This study aims to empirically investigate the dynamics of relationship among human capital formation, self-employment (SE), and economic growth in Pakistan. Using quarterly data of primary school enrollment, SE, and GDP per capita, we employed ARDL bound testing approach to cointegration covering the time span of 1995–2010. We found that in the long run, primary school enrollment, high school enrollment and SE have significant impact on economic growth. Enrollment in primary schools (EP) has a strong positive and significant impact on economic growth, whereas enrollment in high school has a relatively small positive and significant impact on economic growth in the long run in Pakistan. Further, SE has a small, positive and significant impact on economic growth in the long run. In short run, enrollments in high schools and SE have weak positive impact on economic growth whereas, EP has a strong positive and significant impact on economic growth in Pakistan. Further it is found that that there is unidirectional long run causality from self employment to economic growth followed by the bidirectional short run causality between economic growth and high school enrollment, GDP per capita and primary school enrollment, high school enrollment and primary school enrollment.     

中国房价是否存在泡沫——基于省际面板数据的协整分析

本文在理性预期的框架下,从现值模型出发,得到了房地产价格与收入的关系式。如果房地产价格与收入是非平稳过程,只有当房地产价格与收入呈协整关系时,才没有房地产泡沫,否则将出现房地产泡沫。本文对我国31个省、市和自治区1999-2008年的面板数据进行分析,发现商品房销售价格与城镇居民可支配收入皆为一阶单整过程,并且两者存在协整关系,从而得知,从全国范围来言,我国房地产市场并不存在泡沫;进一步按东、中、西部分析,发现中西部地区房地产市场也不存在泡沫,但东部地区房地产市场存在泡沫。     

The information revolution,innovation diffusion and economic growth: an examination of causal links in European countries

Quality & Quantity - Over the last 5 decades, the economic landscape in Europe has been transformed rapidly due to innovation, digitisation of the economy, and emergence of new sources of...     

The impact of patents and standards on macroeconomic growth: a panel approach covering four countries and 12 sectors

Based on the assumption that codified technological know-how contributes to economic growth, this paper presents the estimation of a Cobb–Douglas production function, pooling data from four European countries and 12 sectors. The empirical results confirm that both the stock of patents and the stock of technical standards contribute significantly to economic growth in the 1990s. Whereas the results of the country models are rather similar, we observe significant differences between the sector models, which indicate that standards are more important for growth in less R&D-intensive industries and patents in R&D-intensive industries.

Institutions and economic development: A Granger causality analysis of panel data evidence

This study examines the causal relationship between institutions and economic development using a panel Granger causality test. The study incorporates two institutional datasets, the International Country Risk Guide (ICRG) and World Governance Indicators (WGI). The empirical results based on 60 countries show that there is a bi-directional causality between institutions and economic development. The findings also suggest that causality patterns between institutions and economic performance vary at different stages of income level. Better institutional quality fosters economic development in higher income countries, whereas economic development tends to enhance institutional quality in lower income countries.     

Stock markets,banks and the sources of economic growth in low and high income countries

This paper studies the effects of stock markets and banks on the sources of economic growth, productivity and capital accumulation, using a large cross country panel that includes high- and low-income countries. Results show that, in low-income countries, banks have a sizable positive effect on capital accumulation. We find that stock markets, however, have not contributed to capital accumulation or productivity growth in these countries. Given the emphasis that has been placed in developing equity markets in developing countries, these findings are somewhat surprising. Conversely, in high-income countries, stock markets are found to have sizable positive effects on both productivity and capital growth, while banks only affect capital accumulation.     

Priors,posteriors and bayes factors for a Bayesian analysis of cointegration

Cointegration occurs when the long-run multiplier matrix of a vector autoregressive model exhibits rank reduction. Using a singular value decomposition of the unrestricted long-run multiplier matrix, we construct a parameter that reflects the presence of rank reduction. Priors and posteriors of the parameters of the cointegration model follow from conditional priors and posteriors of the unrestricted long-run multiplier matrix given that the parameter that reflects rank reduction is equal to zero. This idea leads to a complete Bayesian framework for cointegration analysis. It includes prior specification, simulation schemes for obtaining posterior distributions and determination of the cointegration rank via Bayes factors. We apply the proposed Bayesian cointegration analysis to the Danish data of Johansen and Juselius (Oxford Bull. Econom. Stat. 52 (1990) 169).     

把握规律切实转变经济增长方式--我国经济增长的因素分析

本文从资本、劳动力、人力资本、产业结构、制度变迁等影响经济增长的因素出发,建立了我国经济增长的模型;对影响我国经济增长的因素进行了实证分析;通过对实证分析结论的解释,对我国经济增长提出规律性认识;从科学发展观的高度,对保持我国经济持续高速增长提出了一些建议。