Economic forecast quality: information timeliness and data vintage effects

This paper investigates the impact of the timeliness of information releases and data vintage variation on economic forecast quality. Specifically, using a set of 63 key US economic series, we provide a concise measure of the forecast accuracy associated with use of economic activity indices with different publication lags. A forecasting model based on an economic activity index that is subject to a short publication lag (viz. the Aruoba-Diebold-Scotti index) is more efficient than competing models. Moreover, if this publication lag advantage is removed (by artificially imposing a publication lag restriction comparable to that of a competing indicator) this efficiency largely disappears. The final part of the analysis employs a novel (simulation-based) method of assessing the impact of data vintage variation on forecast accuracy, and finds that the results are somewhat sensitive to such variation.     

Economic uncertainty and corruption: evidence from a large cross-country data set

A vast amount of research has considered numerous causes and correlates of corruption. Also, there have been many studies of the consequences of various forms of uncertainty. However, exploration of the nexus between economic uncertainty and corruption appears scarce. After providing an intuitive and heuristic linkage between general economic uncertainty and corruption, this article uses a large cross-country data set to augment a fairly standard model with simple proxies for uncertainty and to investigate how economic uncertainty might affect the prevalence of corruption. In addition, a quantile-regression framework is used to judge how the strength of various covariates may differ with the level of corruption. Seven main points emerge from the estimates. First, economic uncertainty is associated positively with corruption, and the relation seems to be robust across measures of uncertainty and corruption. Second, quantile-regression estimates indicate considerable parametric heterogeneity across the distribution of corruption. Third, Gross Domestic Product (GDP) per capita has the expected corruption-mitigating role. Fourth, increased political rights and civil liberties also appear to lower corruption. Fifth, greater government consumption is associated with lower corruption. Sixth, while the hyperinflation dummy lacks significance in most OLS regressions, its significance varies across the distribution of corruption. Seventh, neither police force nor government subsidies shows significance, but transition economies have more corruption.     

Economic complexity,human capital and economic growth: empirical research based on cross-country panel data

Economic complexity reflects a country’s production capabilities and plays an important role in economic growth. This article measures the economic complexity of 210 countries using the method of reflections, and investigates the impact of economic complexity and human capital on economic growth. The measurement results show that there are significant differences regarding the level of complexity among countries. High-income economies have higher complexity than low- and middle-income economies. The empirical findings demonstrate that economic complexity and different levels of human capital have positive effects on long- and short-term growth. A positive interaction effect on economic growth exists between economic complexity and human capital. In addition, secondary education as a proxy for human capital has a relatively greater positive direct effect and a much stronger interactive effect with complexity on economic growth. In addition, the magnitude of the interaction effect between economic complexity and human capital on long- and short-term growth increases as the revealed comparative advantage threshold grows.     

Model selection via genetic algorithms illustrated with cross-country growth data

We provide a new simple procedure for selecting econometric models, which is used to select the regressors of the cross-country growth model regression. This procedure is based on a heuristic approach called genetic algorithms which are used to explore the universe of models made available by a General Unrestricted Model. This search process of the correct model is only guided by the Schwarz information criterion, which acts as the loss function of the genetic algorithm in order to rank the models. Our procedure shows good performance relative to other alternative methodologies when they are compared in a simulation environment. This research was supported by the Spanish Ministry of Science and Education through the project SEJ2006-07701.     

A new cross-country tabulation of the quality index of consumption

Cross-country data are used to tabulate a quality index of consumption for each of 30 countries ranging in affluence from the U.S. to India as well as the real-income, relative-price and residual components of the quality index.     

LISREL growth model on direct and indirect effects using cross-country data

Many papers have analyzed the factors affecting economic growth. However, these have concentrated on direct effects and ignored indirect effects through other variables in the model. This study investigates direct and indirect effects of various factors on growth with a causal growth model using LISREL (LInear Structural RELations) for a sample of 105 countries over the period of 1975–2002. Results suggest that ignoring the indirect effects of productivity growth, geography and economic development on economic growth may lead to a considerable underestimation of their ‘true’ total effects on growth. While the importance of the indirect effects of productivity growth and geography relative to their direct effects changes with the estimated model, the relative importance of the indirect effect of economic development on growth is found to be robust to different model specifications.     

Broadband penetration and economic growth nexus: evidence from cross-country panel data

This article investigates whether there are Granger causal relationships between broadband penetration, degree of urbanization, foreign direct investment and economic growth using a panel data set covering the G-20 countries for the period 1998–2011. Using our multivariate framework, we first find that all of the variables are cointegrated. Our findings further reveal a network of causal connections between the variables including short-run bidirectional causality between broadband penetration and economic growth among the more developed countries within the G-20. On the other hand, for the developing countries within the G-20, there is evidence of unidirectional causality from economic growth to broadband penetration.     

ICT and resilience in times of crisis: evidence from cross-country micro moments data

ABSTRACT

ICT-intensive firms are often found to have a better performance than their non-ICT-intensive counterparts. Along with investing in ICT capital they have to adapt their production and business processes in order to reap the potentials implied by the use of ICT. Are these firms also more resilient in times of crisis? We study this question by exploiting a novel and unique data set from the Micro Moments Database. Covering 12 countries, 7 industries and the period from 2001 to 2010, the data allow us to distinguish between ICT-intensive and non-ICT-intensive firms within industries. We find evidence that indeed during the crisis in 2008 and 2009, ICT-intensive firms were hit less hard with respect to their productivity. This holds in particular for firms from service industries. Moreover, ICT-intensive firms were also more successful in introducing process innovations during that period which could explain their better productivity performance compared to non-ICT intensive firms.     

Simultaneous versus sequential information processing

Subjects update prior information simultaneously versus sequentially. The mean prediction is remarkably close to the correct Bayesian estimate with simultaneous information, but differs significantly conditional on whether good news precedes bad news or vice versa.     

Financial factors and the margins of trade: Evidence from cross-country firm-level data

Using a large cross-country, firm-level database containing 5000 firms in 9 developing and emerging economies, we study how financial factors affect both firms' export decisions and the amount exported by firms. First, our results highlight the importance of the impact of firms' access to finance on their entry decision into the export market. However, better financial health neither increases the probability of remaining an exporter once the firm has entered, nor the size of exports. Second, we find that financial constraints create a disconnection between firms' productivity and their export status: productivity is only a significant determinant of the export decision if the firm has a sufficient access to external finance. Finally, an increase in a country's financial development dampens this disconnection, thus acting both on the number of exporters and on the exporters' selection process. These results contribute to the literature documenting the role of fixed costs and of the extensive margin of trade in total trade adjustment, and provide micro-level evidence of the positive impact of financial development on trade found by previous literature.     

Testing for linear Engel curves: An application of NLES to cross-country data

The demand system, NLES, proposed recently by Blundell and Ray (1982), is shown to aggregate consistently across households. It is then used to analyse time series expenditure data of Korea, Greece, Israel and Puerto Rico. The empirical results reject linear Engel curves for each country.     

Cross-country variation in the quality of consumption

The quality of consumption, formulated in terms of the luxary/necessity composition of the consumer's basket, is measured by means of an index for each of 15 countries ranging in affluence from the U.S. to India. The discussion includes the real-income, relative-price, and residual components of this index.     

The effect of the Internet on economic growth: Evidence from cross-country panel data

Using cross-country panel data, we found evidence that the Internet plays a positive and significant role in economic growth after investment ratio, government consumption ratio, and inflation were used as control variables in the growth equation.     

Another look at the identical tastes hypothesis on the analysis of cross-country alcohol data

A number of studies have appeared in the area of cross-country consumption comparisons, where a common system of demand equations is used to model the consumption patterns of all countries. Under this approach, tastes are taken to be the same internationally. Such an assumption of identical tastes was forcibly advocated by the dual Nobel laureates, Stigler and Becker, who argued that tastes neither change capriciously nor differ importantly between people. In this paper, we use the system-wide approach to demand analysis to analyse the alcohol consumption patterns of drinkers from 10 high-income industrialised countries and verify Stigler and Becker’s (Rev Econ Statist 59:113–118, 1977) hypothesis by testing whether pooling the data across countries is acceptable. We also present the implied demand elasticities for beer, wine and spirits for the 10 countries and discuss the use of these elasticities in policy-related applications.     

Private versus public production of information

This paper re-examines a recent article by Grossman and Stiglitz (1980) where information production is shown to be fundamentally incompatible with decentralized market systems. Based upon their model, public production of information is discussed as a natural alternative. Three main implications of the analysis are: (i) the market can be informationally efficient with public production of information, (ii) there exists an informational equilibrium and the resulting allocation is Pareto efficient, and (iii) although the optimal level of information critically depends upon information users' preferences and endowments, their complete knowledge t the societal level is not necessary for public production of information.