Growth miracles and failures in a Markov switching classification model of growth

In this paper economic growth is interpreted as a sequence of transitions between distinct growth regimes that countries visit with different frequencies. Countries featuring similar growth dynamics are endogenously grouped into three different clusters. The first cluster comprises successful countries that are characterized by lengthy periods of high or very high growth. Moderately successful countries in the second cluster experience both periods of reasonable growth and periods of stagnation, whereas failing countries in the third cluster suffer from highly volatile growth rates with frequent episodes of crisis. Successful countries are characterized by better initial conditions, policies and institutions compared to the other countries. Neither initial conditions nor institutions distinguish moderately successful from failing countries; what makes them different is policy in the form of investments into infrastructure and human capital, trade liberalization and limited policy volatility.     

Population heterogeneity and growth

I investigate the robustness of the link between growth and heterogeneity in a population along ethnic, linguistic, religious, and socio-economic class lines using cross-country data covering the period 1960–92 and 72 countries. In addition to 21 distinct explanatory variables extensively used in the empirical growth literature, I consider several fragmentation and polarization indices capturing the heterogeneity in a population to deal with measurement uncertainty, and utilize Bayesian Model Averaging techniques to address uncertainty issues regarding model specification. My results indicate that while substantial data evidence favors the inclusion of population heterogeneity as a theory when proxied by fragmentation indices, it does not support the inclusion of this theory when proxied by polarization indices. Furthermore, the religious fragmentation index has the strongest evidence in favor of its inclusion as opposed to ethnic and linguistic fragmentation indices and income inequality.     

Does the version of the Penn World Tables matter? An analysis of the relationship between growth and volatility

Abstract .  The Penn World Tables (PWT) are an important data source for cross-country comparisons in economics. The PWT have undergone several revisions over time. This paper documents how countries' output growth rates change across four publicly available versions of the PWT. We show that for some countries the magnitude of the differences is significant and/or the sign of the growth rates changes across versions. Using as an example Ramey and Ramey (1995) , who found growth volatility has a significant negative effect on growth, we demonstrate that conclusions based on one version of the PWT may not hold under another version.     

On the Dynamics of Basic Growth Models: Ratio Stability vs. Convergence and Divergence in State Space

Abstract. We show for a class of basic growth models that convergence in ratios does not imply the pathwise convergence to the corresponding balanced growth path in the state space. We derive conditions on parameters and on the elasticity of the savings function for convergence or divergence and apply our results to the Solow model, an augmented Solow model as well as to an optimal growth model. An implication for the convergence debate is that two economies that differ only in the initial capital stock and converge in per capita terms might diverge to infinity in absolute terms.     

Does corruption slow down innovation? Evidence from a cointegrated panel of U.S. states

I investigate the long-run relationship between corruption and innovative activity using annual data from 48 contiguous U.S. states between 1977 and 2006. Using U.S. data allows me to work with a panel long enough to exploit time series properties of the data. I use two different measures of innovative activity: one measuring the quantity and the other measuring the quality of the patents granted. I also use two different measures of corruption: one based on the number of corruption convictions, the other based on number of corruption stories covered in Associated Press news wires. Following Pedroni (1999, 2000), I estimate the cointegrating relationship between corruption and innovative activity with Fully Modified Ordinary Least Squares (FMOLS). The results indicate that corruption indeed slows down innovation in the long-run.     

An Empirical Analysis of the Determinants of Foreign Aid: A Panel Approach

This paper uses a panel approach to examine the determinants of foreign aid. It examines the extent to which taxes on international trade and the scope of government activities, ethnicity, private credit, and education determine foreign aid. The paper specifies and estimates a model that explains the allocation of foreign aid among 151 countries over the period 1975 to 1998. The key empirical finding suggests that Taxes on Trade increases foreign aid dependency. Moreover, trade, private credit, foreign direct investment, GDP per worker, and government consumption are important determinants of foreign aid. The factors that appear to decrease foreign aid include: Years of schooling, private credit, trade, and GDP per worker. The factors that appear to increase foreign aid include: Taxes on international trade, ethnicity, and government consumption.     

An Empirical Analysis of the Effect of Aid on Growth

The fact that so many countries register low per capita income after receiving enormous amounts of foreign aid questions its effectiveness as a tool for economic growth and consequently as an instrument of poverty alleviation. The impact of foreign aid on economic growth is ultimately an empirical question and one that will be addressed in this paper. The paper uses the most recent data and incorporates most of the salient features of the new growth literature to test the effect of aid on economic growth. Three important conclusions emerged from the empirical analysis of the paper. First, it shows that the effect of aid on growth is nonlinear. The nonlinearity of the relationship indicates a threshold for foreign aid beyond which more aid is detrimental to economic growth. Second, the empirical results of this paper support Burnside and Dollars findings that a good policy environment is important for aid to work effectively. Aid effectiveness can only be sustained in an environment of good economic policy. Finally, using etholinguistic fractionalization as an instrument, the empirical results of the paper indicate that the relationship between AID/GDP and economic growth is sequential. More and more aid leads to lower economic growth.The authors would like to thank W. Mark Crain, G. Chris Rodrigo, Willem Thorbecke, an anonymous referee, and the participants of the 57th International Atlantic Economic Conference held in Lisbon, March 10–14, 2004. This paper is presented to the conference under a different title. Professor Ali would also like to thank the Research Council of Niagara University for their financial help.     

The “V-factor”: Distribution,timing and correlates of the great Indian growth turnaround

We analyze a panel of output series for India, disaggregated by 15 states and 14 broad industry groups. Using principal components (Bai, 2004; Bai and Ng, 2004) we find that a single common “V-factor” captures well the significant shift in the cross-sectional distribution of state-sectoral output growth rates since the 2nd half of the 1980s. The timing of the turnaround implied by the V-factor is more closely related to the pattern of policy reforms than has been found in previous research. Regression-based analysis also provides some insights into the uneven distribution of the turnaround across Indian states.     

A smooth coefficient quantile regression approach to the social capital–economic growth nexus

This analysis assesses the role of social capital in generating heterogeneity in growth processes across U.S. counties by estimating growth regressions, using the novel semiparametric smooth coefficient quantile regression method in which parameters are unspecified functions of a measure of social capital. The results indicate substantial differences across the quantiles of economic growth in the profile shapes of the coefficient estimates over the level of social capital. Moreover, the coefficient function estimates are highly nonlinear over the level of social capital, providing evidence that the growth process that links initial income, education attainment, ethnic diversity, inequality, population density, and government activity to growth varies with social capital in a nonlinear way.     

Spillovers and the competitive pressure for long-run innovation

This paper discusses the impact of oligopolistic product markets for innovation and growth, highlighting a novel, fundamental role of spillovers. We develop a model of endogenous growth with non-tournament R&D, where spillovers raise the relative R&D efficiency of laggards. A key feature is that the rate of innovation and the market configuration (i.e. the distribution of market shares) are jointly determined. Our results emphasize the role of spillovers in sustaining the competitive pressure that is fundamental for long-run innovation and economic growth.     

Testing the neocon agenda: Democracy in resource-rich societies

Resource-rich countries have tended to be autocratic and also have tended to use their resource wealth badly. The neoconservative agenda of promoting democratization in resource-rich countries thus offers the hopeful prospect of a better use of their economic opportunities. This paper examines whether the effect of democracy on economic performance is distinctive in resource-rich societies. We show that a priori the sign of the effect is ambiguous: Resource rents could either enhance or undermine the economic consequences of democracy. We therefore investigate the issue empirically. We first build a new dataset on country-specific resource rents, annually for the period 1970-2001. Using a global panel dataset, we find that in developing countries the combination of high natural resource rents and open democratic systems has been growth-reducing. Checks and balances offset this adverse effect. Thus, resource-rich economies need a distinctive form of democracy with particularly strong checks and balances. Unfortunately, this is rare: Checks and balances are public goods and so are liable to be undersupplied in new democracies. Over time they are eroded by resource rents.     

Measuring absorptive capacity constraints to foreign aid

To assist with progress towards the United Nations Millennium Development Goals (MDGs) in developing countries, the international community is scaling-up foreign aid to record levels. Concurrently, there are concerns that additional aid will not be used effectively due to a problem of absorptive capacity in recipient countries. Empirical studies lend support to these concerns with many finding that there are diminishing returns to foreign aid. This paper reviews the extensive aid effectiveness literature to identify the various dimensions of absorptive capacity. It proceeds by devising a composite index of absorptive capacity for individual recipient countries which can assist policymakers in guiding the allocation of their aid. The relevance of the index is confirmed through its employment in a standard empirical model of aid effectiveness. The paper highlights the developing countries that currently receive high levels of aid relative to their estimated level of absorptive capacity.