Endogenous phase switch in Baumol's service paradox model

This paper develops a two-sector model that considers Baumol's service paradox. The paper simultaneously incorporates two ideas about technological progress in the model: (1) the consumption of services contributes to human capital accumulation and (2) the production of manufacturing leads to technological progress due to learning-by-doing. Accordingly, productivity growth in both services and manufacturing is endogenously determined. We show that initially, a shift in the employment share toward the services sector decreases the per capita real GDP growth rate, but at some point in time, the shift begins to increase the growth rate. Therefore, we observe an endogenous phase switch from a phase where the employment shift toward services depresses the economy to another where the employment shift promotes the economy.     

Human capital accumulation in R&D-based growth models

This paper develops a model that reproduces the essential aspects of the recent ICT-based economy using the framework of endogenous growth theory in which a central role is played by human capital accumulation. In particular, it considers a multi-sectoral growth model in discrete time with infinite horizon, endogenous growth, embodied technological progress, horizontal differentiation and “lab-equipment” specification of R&D, and with human capital accumulation (represented by the fact that households devote a fraction of their time to schooling), in order to take into account the crucial role of the latter when new technologies are present. In this model it is possible to obtain some important results, both analytically and through simulations, either in the case of constant productivity of schooling and in the case in which this productivity is a function of technological progress. The first conclusion is that the productivity of schooling affects the long run growth of the economy, contrary to the productivities of the other sectors, hence in this model human capital accumulation is the true engine of growth. It is then possible to study the reaction of the economy to different types of shocks, and to compare the results with the empirical evidence. The conclusion is that the model is able to reproduce such evidence, suggesting that the interaction between ICT and human capital is one of the drivers of the recent economic performance.     

Social status, human capital formation and super-neutrality in a two-sector monetary economy

In this paper, we study how social status affects the impact of monetary policy on the long-run growth rate in a two-sector monetary economy with human capital accumulation, and find that the super-neutrality of money, with regard to the growth rate of the economy depends on the formation of human capital. In an economy with Lucas-type human capital formation, money is super-neutral; however, for an economy in which both physical and human capital are used as inputs for human capital accumulation, the money growth rate will have a positive effect on the long-run economic growth rate. The existence, uniqueness and saddle-path stability of balanced-growth equilibrium are also examined.     

LAND PRICE,COLLATERAL AND ECONOMIC GROWTH*

This paper extends Kiyotaki and Moore's (1997 ) to an endogenous growth model and investigates the dynamic properties of a growing economy with binding credit constraint when land is used not only as an input of production but also as collateral. There exists a balanced growth path in an economy with binding credit constraint. In response to a once and for all productivity shock, the developed model shows the propagation mechanism among output, capital, bank credit and the land price in terms of the growth rate. The model's tractability allows us to derive interesting qualitative and quantitative findings on business cycles.     

TECHNOLOGICAL CHANGE,HUMAN CAPITAL STRUCTURE,AND MULTIPLE GROWTH PATHS*

This paper presents a theoretical model to analyze the effects of technology change on growth rates of income and human capital in the uncertain environments of technology. The uncertainty comes from two sources: the possibility of a technology advance and the characteristics of new technologies. We set up an overlapping generations model in which young agents invest in both width and depth of human capital in order to adopt new technologies. The model develops explicitly the micro‐mechanism of the role of human capital in adopting new technologies as well as that of the process of human capital production in the uncertain environments. In our model, a higher level of width of human capital relative to the level of depth leads one country to a higher growth path. We also show that an economy can have different growth paths depending on the initial structure of human capital and the uncertainty about the nature of new technologies. In particular, new technologies with more uncertain characteristics may adversely affect human capital accumulation and income growth, leading the economy to a low growth trap.     

Management Ability, Long-run Growth, and Poverty Traps

This study establishes an R&D-based growth model that includes the functional difference between labor and human capital in the production of goods. In our analysis, human capital is used by the managers in the manufacturing process. Such an allocation of human capital yields three possible steady states: endogenous growth, poverty traps, and multiple equilibria. Economies are sorted into these steady states according to the endowments of labor, human capital, and knowledge. Thus, the obtained steady states explain some economic growth patterns, such as polarization and leapfrogging of economies.     

Phases of economic development and the transitional dynamics of an innovation-education growth model

This paper extends earlier analysis of the transitional dynamics of a growth model in which both human capital and innovation drive income expansion. Funke and Strulik [2000. On endogenous growth with physical capital, human capital and product variety. European Economic Review 44, 491-515] suggest that the typical advanced economy follows three development phases, characterized in a temporal order by physical capital accumulation, human capital formation, and innovation, and that the transitional dynamics of the model reproduce such a sequencing. I argue that other sequences of the phases of development are possible and show that the model can generate a trajectory in which innovation precedes human capital formation. This trajectory accords with the observation that the rise in formal education followed with a considerable lag the process of industrialization. U.S. income and educational time series data are used to corroborate the innovation-education trajectory.     

Optimal monetary policy and economic growth

A question at the center of many analyses of optimal monetary policy is, why do central banks never implement the Friedman rule? To the list of answers to this question, we add neoclassical production (specifically, the Tobin effect) as one possible explanation. To that end, we study an overlapping generations economy with capital where limited communication and stochastic relocation create an endogenous transactions role for fiat money. We assume a production function with a knowledge externality (Romer style) that nests economies with endogenous growth (AK form) and those with no long-run growth (the Diamond model). The Tobin effect is shown to be always operative. Under CRRA preferences, a mild degree of social increasing returns is sufficient (but not necessary) for some positive inflation to dominate zero inflation and for the Friedman rule to be sub-optimal, irrespective of the degree of risk aversion.     

HUMAN CAPITAL ACCUMULATION,HOME PRODUCTION AND EQUILIBRIUM DYNAMICS*

In this paper, we construct a three‐sector endogenous growth model in which long‐run growth is propelled by human capital accumulation. We show that although the addition of a home sector to the standard two‐sector endogenous growth model preserves the well‐behaved balanced growth equilibrium properties, it generates new transitional dynamics around the balanced growth path. It is shown that, when there is a positive shock to physical capital, our model is more likely to exhibit paradoxical growth than are standard multisector endogenous growth models that exclude home production. Our analysis adds new results to those from the related literature on leisure.     

The Uzawa–Lucas model without scale effects: theory and empirical evidence

Numerous cross-sectional tests have been performed to evaluate the predictions of recent growth theories such as the Uzawa–Lucas growth model. In a series of papers and in his book, Jones [Q. J. Econ. 110 (1995a) 495; J. Political Econ. 103 (1995b) 759; The upcoming slowdown in US economic growth, Stanford University, Stanford] has shifted the attention toward the time series predictions of endogenous growth models. By contrasting endogenous growth models with facts, one is frequently confronted with the prediction that levels of economic variables, such as human capital, imply lasting effects on the per capita growth rate of an economy. As stylized facts show, measures of education or human capital in most advanced countries have dramatically increased, mostly more than the gross domestic production (GDP). Yet, the growth rates have roughly remained constant or even declined. In this paper we modify the growth effects of education and human capital in our variant of the Uzawa–Lucas growth models and test the model using time series data for the US and Germany from 1962.1 to 1996.4. We consider two versions. In the first, we treat the time spent for education as exogenously given and we neglect the external effect of human capital. In the second version, the time spent for education is an endogenous variable and the external effect of human capital is taken into account. Our results demonstrate that the model is compatible with the time series for aggregate data in those countries. The parameters fall into reasonable ranges.     

Human capital formation,learning by doing and the government in the process of economic growth

We present an endogenous growth model with human capital and learning by doing. Human capital is not an input factor in the production process of final output but it affects the ability to build up knowledge capital as a by‐product of cumulated investment (learning by doing). Human capital is formed in the schooling sector that is financed by the government. The government may run into debt but obeys the inter‐temporal budget constraint. The article analyzes the structure of the model and studies the effects of different budgetary policies as regards the balanced growth rate, transition dynamics and with respect to welfare.     

GROWTH EFFECTS OF INFLATION UNDER THE PRESENCE OF INFORMALITY

In this paper we build an endogenous growth model in which the informal economy is subject to a cash‐in‐advance constraint along with physical capital accumulation and consumption. In this setting, we find that inflation generally adversely affects long‐run growth. However; this effect strongly interacts with the size of the informal economy. Specifically, the negative effect becomes milder (and can even be positive) under the presence of a large informal economy. Moreover, using an annual cross‐country panel data set of 161 countries over the period 1950‐2010 we also provide some empirical support for the mechanism of our theory.     

Externalities,Productivity and Sustained Growth

This paper shows that the existence of endogenous growth, in the closed‐form solution, in a single sector economy with a convex technology in an overlapping generations (OLG) framework, which attempts to fill the current gap in endogenous growth theory. It finds there is an unbounded growth when trade, in the form of knowledge spillover, affects labor productivity through the formation of human capital with self‐education that is not an independent sector but builds the human capital here. This conclusion holds even though there is the “limited income” expressed as the “non‐increasing wage/investment ratio” for each generation. Moreover, it shows the convergence of growth rates for each country, which is unique and constant, while the growth rate per capita negatively relates with each country's population growth rate. Also, there is no “poverty trap” with the introduction of externalities that is different from existing literature.     

Non‐Scale Endogenous Growth with R&D and Human Capital

This paper examines the conditions under which increasing knowledge, encapsulated in ideas for new technology through R&D and embodied in human capital through education, sustains economic growth. A general model is developed where, consistent with recent literature, growth is non‐scale (not increasing in population size) and endogenous (generated by factors within R&D and education). Recent models feature the counterfactual assumption of constant returns to existing knowledge and restrict the substitutability of inputs within R&D and education. We find that non‐scale endogenous growth is possible under less stringent conditions. The findings reconcile sustained economic growth with evidence of diminishing marginal returns in education and R&D, which suggests an ambiguous role for R&D policy.     

Scale effects found!

A key feature of early endogenous growth models is their prediction of scale effects – the larger the economy, as measured by population, the number of firms or employment, the faster the economy should grow. However, empirical work has failed to support the existence of scale effects. As a result, much human capital has been expended in order to ‘fix’ this problem by eliminating scale effects in endogenous growth models. We contend that econometric techniques used in the empirical search for scale effects are inconsistent with growth theory. Using data from US states and an econometric technique that better matches growth theory by allowing each economy to have its own steady state, we provide empirical support for the existence of scale effects. Results call into question the need to reformulate the first models of endogenous growth.     

Comparing China and India: A factor accumulation perspective

The remarkable economic transformations in China and India in recent decades have been accompanied by almost equally remarkable different development patterns. For example, the empirical data during 1985–2004 show that, compared with India, China’s economy has exhibited (i) considerably higher rates of physical capital formation; (ii) much higher ratios of measured physical to human capital; and (iii) a more physical-capital-friendly public policy. Motivated by these empirical observations, we study the accumulation of both physical and human capital in a one-sector growth model with a CES production function. After deriving some qualitative implications from the model, we estimate the key technological parameters of the normalized CES production function using the panel data at the provincial level for China and at the state level for India. Our estimation results suggest that our model implications match broadly with the above stylized development patterns regarding China and India.     

FISCAL POLICY IN AN ENDOGENOUS GROWTH MODEL WITH PUBLIC CAPITAL AND POLLUTION

This paper studies the growth and welfare effects of fiscal policy in an endogenous growth model with public capital and environmental pollution. I assume that pollution is due to aggregate production, and that it does not have a direct effect on production but only reduces household utility. I study the growth effects of fiscal policy for the model on the balanced growth path, taking transition dynamics into account. I then analyse the welfare effects of fiscal policy along the balanced growth path. Finally, I show how the fiscal parameters must be set so that the competitive economy replicates the social optimum.     

Factor saving innovations and factor income shares

We present an endogenous growth model where innovations are factor saving. Technologies can be changed paying a cost and technological change takes place only if the benefits are larger than the costs. Since the gains derived from factor saving innovations depend on factor abundance, biased innovations respond to changes in factors' supply. Therefore, as the economy becomes more capital abundant agents try to use capital more intensively. Consequently, (a) the elasticity of output with respect to reproducible factors depends on the capital abundance of the economy and (b) the income share of reproducible factors increases as the output grows. Another insight of the model is that in some economies the production function converges to an AK in the long run, while in others long-run growth is zero.     

Endogenous Growth and Publicly Funded Knowledge Accumulation

We investigate a centrally planned, infinite horizon, single good economy in which new knowledge is generated in a separate R&D sector with government subsidy. The rate of growth of new ideas is assumed to be linear in the amount of labor devoted to R&D. Perpetual growth in per capita output and consumption is sustained by the spillover effects of knowledge creation. Using an isoelastic social welfare function and a general production function, the unique balanced growth path is characterized and the conditions for balanced growth to take place derived. In analyzing standard balanced growth, we demonstrate that so long as physical capital and knowledge grow at some arbitrarily constant rates along an optimal time path, the two rates must necessarily be equal. Using a Cobb–Douglas production function, the dynamic evolution of the economy is explicitly described in closed form for each state and control variables. In particular, it is shown that the economy either (i) attains the balanced growth path from the initial time, or (ii) converges monotonically to the balanced growth path. An asymptotic balanced growth path along which labor input in manufacturing tends to zero in the long run is ruled out by the tranversality condition on knowledge.     

Externalities of investment and endogenous growth: theory and time series evidence

In the paper we present and estimate an endogenous growth model in which sustained per capita growth is the result of positive externalities of investment in physical capital. In contrast to the usual assumption that investment raises physical capital and, as a byproduct, a stock of knowledge one for one, we suppose a different framework. So, we treat physical and human capital as two distinct variables and underline the importance of the stock of knowledge per physical capital as to the growth performance of countries. Estimation of that model for France, Germany and Japan shows that it is compatible with empirical data. For Great Britain the model performs poor and for the USA it does not produce reasonable outcomes at all. One conclusion we draw from our studies is that an endogenous growth model with positive externalities of investment is of empirical relevance. However, the growth process is also determined by country specific factors such that cross-countries studies should be considered with some care.