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Dive into the research topics where John Stachurski is active.

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Featured researches published by John Stachurski.


Handbook of Economic Growth | 2005

Chapter 5 Poverty Traps

Costas Azariadis; John Stachurski

Abstract This survey reviews models of self-reinforcing mechanisms that cause poverty to persist. Some of them examine market failure in environments where the neoclassical assumptions on markets and technology break down. Other mechanisms include institutional failure which can, by itself, perpetuate self-reinforcing poverty. A common thread in all these mechanisms is their adverse impact on the acquisition of physical or human capital, and on the adoption of modern technology. The survey also reviews recent progress in the empirical poverty trap literature.


Journal of Economic Theory | 2005

Stability of stochastic optimal growth models: a new approach

Kazuo Nishimura; John Stachurski

Many economic models are now explicitly dynamic and stochastic. Their state variables evolve in line with the decisions and actions of individual economic agents. These decisions are identified in turn by imposing rationality. Depending on technology, market structure, time discount rates and other primitives, rational behavior may lead either to stability or to instability.


Journal of Economic Theory | 2002

Stochastic Optimal Growth with Unbounded Shock

John Stachurski

This paper considers a neoclassical optimal growth problem where the shock that perturbs the economy in each time period is potentially unbounded on the state space. Sufficient conditions for existence, uniqueness and stability of equilibria are derived in terms of the primitives of the model using new techniques from the field of perturbed dynamical systems.


Theoretical Economics | 2014

Stochastic Stability in Monotone Economies

Takashi Kamihigashi; John Stachurski

This paper extends a family of well-known stability theorems for monotone economies to a significantly larger class of models. We provide a set of general conditions for existence, uniqueness and stability of stationary distributions when monotonicity holds. The conditions in our main result are both necessary and sufficient for global stability of monotone economies that satisfy a weak mixing condition introduced in the paper. Through our analysis we develop new insights into the nature and causes of stability and instability.


Journal of Economic Theory | 2009

Endogenous inequality and fluctuations in a two-country model

Tomoo Kikuchi; John Stachurski

We study a two-country version of Matsuyamas [K. Matsuyama, Financial market globalization, symmetry-breaking, and endogenous inequality of nations, Econometrica 72 (2004) 853-884] world economy model. As in Matsuyamas model, symmetry-breaking can be observed, and symmetry-breaking generates endogenously determined levels of inequality. In addition, we show that when the countries differ in population size, their interaction through credit markets may lead to persistent endogenous fluctuations.


Journal of Mathematical Economics | 2003

Economic dynamical systems with multiplicative noise

John Stachurski

Abstract The paper considers random economic systems generating nonlinear time series on the positive half-ray R + . Using Lyapunov techniques, new conditions for existence, uniqueness and stability of stationary equilibria are obtained. The conditions generalize earlier results from the mathematical literature, and extend to models outside the scope of existing economic methodology. Applications to growth models with productive capital are given.


Studies in Nonlinear Dynamics and Econometrics | 2003

Stochastic Growth with Increasing Returns: Stability and Path Dependence

John Stachurski

The paper demonstrates global stability in a class of stochastic overlapping generations economies with increasing returns. These results are applied to the study of path dependent dynamics. In particular, for nonlinear stochastic models it is seen that persistence of the historical state and formal ergodicity may easily coincide. A new definition of path dependence is proposed that incorporates such dynamics.


Mathematics of Operations Research | 2012

Generalized Look-Ahead Methods for Computing Stationary Densities

R. Anton Braun; Huiyu Li; John Stachurski

The look-ahead estimator is used to compute densities associated with Markov processes via simulation. We study a framework that extends the look-ahead estimator to a broader range of applications. We provide a general asymptotic theory for the estimator, where both L1 consistency and L2 asymptotic normality are established. The L2 asymptotic normality implies √n convergence rates for L2 deviation.


Macroeconomic Dynamics | 2012

Introduction to macroeconomic dynamics special issue in honor of Kazuo Nishimura: Nonlinear dynamics in equilibrium models

John Stachurski; Alain Venditti; Makoto Yano

Over the past three decades, analysis of dynamics has come to the forefront of macroeconomic theory. A key impetus for progress on this front has been the connections developed between equilibrium growth theory, on one hand, and the field of nonlinear dynamics, on the other. Kazuo Nishimuras work has been at the center of these advances, and the lines of research he initiated remain an exciting area of study for young researchers with strong technical skills.


Journal of Economic Theory | 2016

Seeking ergodicity in dynamic economies

Takashi Kamihigashi; John Stachurski

In estimation and calibration studies, the convergence of time series sample averages plays a central role. At the same time, a significant number of economic models do not satisfy the classical ergodicity conditions. Motivated by existing work on asymptotics of stochastic economic models, we develop a new set of results on limits of sample moments and other sample averages using an order-theoretic approach. Our results include a condition that is necessary and sufficient for convergence over a broad class of moment functions. We discuss implications, sufficient conditions and a range of economic applications.

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Tomoo Kikuchi

Nanyang Technological University

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Yin Liao

Queensland University of Technology

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Alain Venditti

Aix-Marseille University

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Ryszard Rudnicki

Polish Academy of Sciences

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Cuong Le Van

Centre national de la recherche scientifique

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