Decentralizing antipoverty program delivery in developing countries

We study the effects on accountability in government service delivery of decentralizing administration of an antipoverty program. While governments at both central and local levels are vulnerable to antipoor policy biases owing to political capture, centralized delivery systems are additionally prone to bureaucratic corruption, owing to problems in monitoring bureaucratic performance. Decentralizing the delivery system promotes cost-effectiveness and improves intraregional targeting at low program scales. But interregional targeting may deteriorate, as central grants to high-poverty regions shrink, owing to high capture of local governments by local elites in such regions.     

Endogenous lifetime and economic growth

Endogenous mortality is introduced in a two-period overlapping generations model: probability of surviving from the first period to the next depends upon health capital that is augmented through public investment. High mortality societies do not grow fast since shorter lifespans discourage savings; development traps are possible. Productivity differences across nations result in persistent differences in capital-output ratios and relatively larger gaps in income and mortality. High mortality also reduces returns on education, where risks are undiversifiable. When human capital drives economic growth, countries differing in health capital do not converge to similar living standards, ‘threshold effects’ may also result.     

Technological convergence, R&D, trade and productivity growth

This paper analyses productivity growth in a panel of 14 United Kingdom manufacturing industries since 1970. Innovation and technology transfer provide two potential sources of productivity growth for a country behind the technological frontier. We examine the roles played by research and development (R&D), international trade, and human capital in stimulating each source of productivity growth. Technology transfer is statistically significant and quantitatively important. While R&D raises rates of innovation, international trade enhances the speed of technology transfer. Human capital primarily affects output through private rates of return (captured in our index of labour quality) rather than measured TFP.     

Evaluating investment projects in the presence of sectoral linkages1

In this paper we develop a framework to assess the economic impact of foreign investment projects. If investment projects interact with other industries in the host economy, either by buying inputs locally or by selling their own product to local downstream firms, they can create sectoral linkages. The expansion of upstream and downstream industries can feed back to the project's own industry leading to a further expansion of the local industry. We study the circumstances under which investment projects lead to the creation of sectoral linkages and characterize the factors that determine the project's welfare impact. We link analytical findings to case studies undertaken for the EBRD.     

Growth,Employment and Taxation with Distortions in the Goods and Labour Market

Abstract. This paper analyses taxation in the presence of distortions in goods and labour markets in an endogenous growth model. The government disposes of capital, labour and consumption taxes. It is shown that the market solution leads to suboptimally low levels of growth and employment. However, available tax instruments are sufficient to attain the first‐best growth path in this economy. The paper further explores the relative distortion of capital and labour taxes. For plausible parametrisations of the model, lowering capital taxes dominate reductions in labour taxes in welfare terms.     

Endogenous structural change and crisis in a multiple time-scales growth model

The slow and endogenous twist of economic macro-structure makes up an important evolutionary feature of capitalist economies, and may be at the root of structural crisis. In this line, a Goodwinian growth model with increasing returns and profit-sharing that tries to picture a simple scenario of the seventies crisis is considered. It is shown that the exhaustion of the Kaldor-Verdoorn “productivity law” can entail, in a nonlinear framework, a “catastrophic” bifurcation from a “high” to a “low” growth path. Slow/fast dynamical systems then allow one to formalize a multiple time-scales dynamics where the growth path is shaped by the structural framework in which it takes place, but has also a long -un feedback. Structural change and crisis appear as long term and endogenous outcomes.     

Growth,Convergence, and Social Cohesion in the European Union

The aim of this paper is to analyze the economic and social cohesion in the European Union. There are different factors to explain the convergence process and besides, empirical findings are not conclusive. To the European Union, GDP per head interregional differences have decreased for certain periods but it has remained unchanged or even increased for others periods. The second report on the economic and social cohesion indicates that some decades are necessary to eliminate regional differences. These differences in regional GDP are mainly explained by differences in their productive structures, degree of innovate activity, communications structures, which depend on the relative level of transport infrastructures, and manpower qualifications. This analysis allows us to obtain some conclusions to the economic policies and the social cohesion. A preliminary version of this paper was presented in the 57th International Atlantic Conference, held in Lisbon, Portugal, March 10–14, 2004.     

Innovation timing games: a general framework with applications

We offer a new algorithm for analyzing innovation timing games. Its main advantage over the traditional approach is that it applies to problems that had previously been intractable. We use the algorithm to examine two classical innovation problems. We find that the competition takes the form of a waiting game with a second-mover advantage either for any level of R&D costs (process innovation) or for high R&D costs (product innovation). Moreover, both models predict that the second-mover advantage is monotonically increasing in the costs of R&D.     

Complex solutions of nonconcave dynamic optimization models

Summary In this paper we consider a class of time discrete intertemporal optimization models in one dimension. We present a technique to construct intertemporal optimization models with nonconcave objective functions, such that the optimal policy function coincides with any pre-specifiedC ² function. Our result is a variant of the approach presented in a seminal paper by Boldrin and Montrucchio (1986). Whereas they solved the inverse problem for the reduced form models, we address the different question of how to construct both reduced and primitive form models. Using our technique one can guarantee required qualitative properties not only in reduced, but also in primitive form. The fact that our constructed model has a single valued and continuous optimal policy is very important as, in general, nonconcave problems yield set valued optimal policy correspondences which are typically hard to analyze. To illustrate our constructive approach we apply it to a simple nonconcave model.We are grateful for the helpful comments of L. Montrucchio, K. Nishimura, T. Mitra and an anonymous referee. Financial support of the Austrian Science Foundation under contract No. P7783-PHY and No. J01003-SOZ is gratefully acknowledged. This paper was written while M. Kopel was visiting the Department of Economics, Cornell University.     

Restricted maximum likelihood estimation under Eisenhart model Ill

For a balanced two-way mixed model, the maximum likelihood (ML) and restricted ML (REML) estimators of the variance components were obtained and compared under the non-negativity requirements of the variance components by L ee and K apadia (1984). In this note, for a mixed (random blocks) incomplete block model, explicit forms for the REML estimators of variance components are obtained. They are always non-negative and have smaller mean squared error (MSE) than the analysis of variance (AOV) estimators. The asymptotic sampling variances of the maximum likelihood (ML) estimators and the REML estimators are compared and the balanced incomplete block design (BIBD) is considered as a special case. The ML estimators are shown to have smaller asymptotic variances than the REML estimators, but a numerical result in the randomized complete block design (RCBD) demonstrated that the performances of the REML and ML estimators are not much different in the MSE sense.