Skill-Specific rather than General Education: A Reason for US–Europe Growth Differences?

In this paper, we develop a model of technology adoption and economic growth in which households optimally obtain either a concept-based, general education or a skill-specific, vocational education. General education is costly to obtain, but enables workers to operate new production technologies. Firms weigh the cost of adopting and operating new technologies against increased profits and optimally choose the level of adoption. We show that an economy whose policies favor vocational education will grow slower in equilibrium than one that favors general education. More importantly, the gap between their growth rates will increase with the growth rate of available technology. By characterizing the optimal Ramsey education policy we also demonstrate that the optimal subsidy for general education increases with the growth rate of available technology. Our theory suggests that European education policies that favored specialized, vocational education might have worked well, both in terms of growth rates and welfare, during the 1960s and 1970s when available technologies changed slowly. However, in the information age of the 1980s and 1990s when new technologies emerged at a more rapid pace, they might have contributed to an increased growth gap relative to the United States.     

Financial crisis and persistence: evidence from sticky expectations consumption growth model

We estimate the degree of stickiness in aggregate consumption growth for the U.S. considering the effects of the Great Recession. The behavior of stickiness estimate in the crisis is somewhat as the U-shaped pattern. Our findings imply that during the crisis consumers’ attentiveness to aggregate information has slightly increased, thereby reducing the persistence of aggregate consumption growth. However, the reduction in persistence is transitory. Since 1980, the U.S. faced five recessions and in most of them the degree of stickiness declined, albeit temporarily.     

Does the World Bank have any impact on human development of the poorest countries? Some preliminary evidence from Africa

In an attempt to better understand the impact of the World Bank on human development in poor countries, we use cross-country data on African countries for the 1990–2002 period to examine this relationship. The coefficient estimates of our parsimonious fixed-effects models indicate that while loans and grants of the Bank have had a positive impact on some relatively short-term indicators of health and education in an average African country, there is little evidence to suggest that such loans and grants have helped these countries to consolidate on the short-term gains.     

Cointegration of U.S. budget and current account deficits: Twins or strangers?

In this paper the authors employ the cointegration approach to explore empirically the existence of a possible long-run equilibrium relationship between the U.S. budget deficits and the current account deficits. This study uses annual nominal data in levels for the postwar period 1946–1988. Both the DW and the ADF tests confirm that the two deficits are not cointegrated. It implies that the two deficits have no possibility of reverting to a long-run equilibrium relation.     

Money,working capital and production in a developing economy: A disequilibrium econometric model of production for India, 1950–1980

The paper formulates and estimates for India for the period 1950–1980 an aggregate production function wherein the supply of real money balances in the economy appears as a limitational factor of production. The rationale for the formulation is argued from the importance of working capital funds in organising production, and how the supply of money, or the lack thereof, may constrain its availability in a financially underdeveloped economy characterized by imperfect capital markets.Comments and suggestions by annonymous referees for the journal as well as by the participants in the seminar at the Institute of Economic Growth, Delhi, India and the session on money and production at the Windsor meetings of the Canadian Economic Association are gratefully acknowledged. Thanks are also due Mr. Salah Foda for programming assistance.     

The hydroelectricity consumption and economic growth in Asian countries - evidence using an asymmetric cointegration approach

ABSTRACT

This study examines the four commonly tested hypotheses in hydroelectricity consumption – economic growth literature for 12 Asian countries. Our results from a recently developed hidden cointegration technique uncover rich and significant relationships between negative and positive components of the variables under consideration. In particular, we find evidence to support the neutrality hypothesis in five countries (Bangladesh, Indonesia, Pakistan, Philippines, and Thailand), the growth hypothesis in four countries (India, Japan, South Korea and Taiwan), and both growth and conservation hypotheses in three countries (China, Malaysia, and New Zealand). These findings suggest that appropriate economic policies should be elaborated on the basis of the country’s specific hydroelectricity consumption–growth nexus. Finally, our new evidence suggests that the lack of stable relationship between hydroelectricity consumption and economic growth documented in previous studies for some of these countries could be due to the failure to properly account for the nonlinearity property in the data.     

Modelling the dynamics of Bitcoin and Litecoin: GARCH versus stochastic volatility models

We examine and compare a large number of generalized autoregressive conditional heteroskedastic (GARCH) and stochastic volatility (SV) models using series of Bitcoin and Litecoin price returns to assess the model fit for dynamics of these cryptocurrency price returns series. The various models examined include the standard GARCH(1,1) and SV with an AR(1) log-volatility process, as well as more flexible models with jumps, volatility in mean, leverage effects, t-distributed and moving average innovations. We report that the best model for Bitcoin is SV-t while it is GARCH-t for Litecoin. Overall, the t-class of models performs better than other classes for both cryptocurrencies. For Bitcoin, the SV models consistently outperform the GARCH models and the same holds true for Litecoin in most cases. Finally, the comparison of GARCH models with GARCH-GJR models reveals that the leverage effect is not significant for cryptocurrencies, suggesting that these do not behave like stock prices.     

Economic Growth,Productivity Gains and Foreign Capital: A Comment

Journal of Quantitative Economics -     

Quality dualism

We suggest a theory of quality dualism, defined in terms of the gap between the highest quality good produced in the informal sector and the lowest quality produced in the formal sector. We develop a model of vertically differentiated products, in which firms producing in the formal and informal sectors face different factor prices, and have a relative advantage in the manufacture of different qualities. We then use the model to examine the cyclical behavior of the respective sizes of the two sectors. Finally, we point out that factor price changes, which reduce or increase the size of the informal sector, may have the same or opposite effect on the degree of dualism in the economy.     

Dynamic Currency Linkages and Their Determinants: An Empirical Study for East Asian Economic Community Region

In this article, Copula GARCH models have been employed to study the inter-temporal process of currency market co-movements between ASEAN+6 countries (referred to in this study as East Asian Economic Community) and ASEAN+6 currency market index. Empirical results show that the sample countries of the region exhibit varying levels of currency co-movements with the Asian benchmark. Markov regime switching results show that many of the countries which had high dependences with the regional currency index as was found in copula estimations had also overlapping currency market cycles. Using Principal Component Analysis, we find that three statistical factors explain exchange rate co-movements which came out to be trade linkages, economic risk, and currency market openness in our dynamic panel data estimation.