A note on the closed-form solution to the Lucas–Uzawa model with externality

Ruiz-Tamarit [2008. The closed-form solution for a family of four-dimension nonlinear MHDS. Journal of Economic Dynamics and Control 32, 1000–1014] provides a closed-form solution to the two-sector model of endogenous growth with externalities. He assumes that the coefficient of the relative risk aversion is equal to the physical capital share, but this assumption is empirically and theoretically implausible. This note uses the result of Boucekkine and Ruiz-Tamarit [2008. Special functions for the study of economic dynamics: the case of the Lucas–Uzawa model. Journal of Mathematical Economics 44, 33–54] and derives a closed-form solution without setting the parametric assumption. The solution path is expressed in terms of the Gauss hypergeometric functions.     

Feasibility and optimality of sustainable growth under materials balance

Pollution from consumption and production is an inevitable part of economic processes. We employ a materials balance approach and develop an endogenous growth theory, with recycling activity, to examine the evolution of the economic and environment systems. This paper provides feasibility and optimality conditions for sustainable economic growth with rising environmental quality. The fundamental condition of feasibility is that the flow of natural resources, which eventually returns to the environment as waste and pollution, has a negative growth rate in the long run.     

石油价格冲击与宏观经济

本文首先讨论石油价格冲击的传导机制,然后考察石油价格冲击对经济增长和通货膨胀的非对称性影响,并分析石油价格上升的货币政策含义,最后提出了政策建议。     

Evolution of preferences and cross-country differences in time devoted to market work

I model the hypothesis that preferences evolve and permanent differences in individual attitudes towards work emerge between two countries characterized initially by identical preferences as a result of a period in which only one of the two countries is subject to regulations constraining labor supply, or as a by-product of different tax rates on labor income. Hence, the elimination of these regulations may not allow the economy thus deregulated to converge to the same hours of market work per person of the other economy, and the long-run differential in market work between economies subject to different tax rates is amplified.     

Spatial agglomeration and endogenous growth

This paper constructs a dynamic general equilibrium model with spatial interactions in which a human capital externality is the centripetal force towards agglomeration. The resource cost of transportation is, on the other hand, the main centrifugal force, preventing a city from growing unboundedly. A central feature of our analysis is the dynamic interaction between (perpetual) economic growth and (bounded) city growth. We examine the socially optimal and the decentralized growth rates as well as city sizes. In the decentralized environment, individuals under-invest, whereas cities are under-populated. We show how public policies may enable a decentralized city to attain the socially optimal allocation.     

Equilibrium dynamics in a class of one-sector endogenous growth models with external habits: An application of special functions

This paper analyzes the equilibrium dynamics in a class of one-sector endogenous growth models with external habits. Using an explicit solution expressed in terms of the Gauss hypergeometric function, we show that the levels of consumption, habits and capital may exhibit non-monotonic transition dynamics, even though their ratios converge monotonically. A numerical simulation illustrates this result.     

ARE EMPIRICAL MEASURES OF MACROECONOMIC UNCERTAINTY ALIKE?

Abstract There is a plethora of time series measures of uncertainty for inflation and real output growth in empirical studies but little is known whether they are comparable to the uncertainty measure reported by individual forecasters in the survey of professional forecasters. Are these two measures of uncertainty inherently distinct? This paper shows that, compared with many uncertainty proxies produced by time series models, the use of real‐time data with fixed‐sample recursive estimation of an asymmetric bivariate generalized autoregressive conditional heteroskedasticity model yields inflation uncertainty estimates which resemble the survey measure. There is, however, overwhelming evidence that many of the time series measures of growth uncertainty exceed the level of uncertainty obtained from survey measure. Our results highlight the relative merits of using different methods in modelling macroeconomic uncertainty which are useful for empirical researchers.     

Evaluating predictive densities of US output growth and inflation in a large macroeconomic data set

We evaluate conditional predictive densities for US output growth and inflation using a number of commonly-used forecasting models that rely on large numbers of macroeconomic predictors. More specifically, we evaluate how well conditional predictive densities based on the commonly-used normality assumption fit actual realizations out-of-sample. Our focus on predictive densities acknowledges the possibility that, although some predictors can cause point forecasts to either improve or deteriorate, they might have the opposite effect on higher moments. We find that normality is rejected for most models in some dimension according to at least one of the tests we use. Interestingly, however, combinations of predictive densities appear to be approximated correctly by a normal density: the simple, equal average when predicting output growth, and the Bayesian model average when predicting inflation.