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The purpose of this paper is to contribute to the teaching of undergraduate macroeconomics.

To suggest a roadmap, based on a consumption function, to be used by instructors willing to teach the Lucas Critique subject.

Therefore, this paper proposes a lesson, which consists of three parts, to help undergraduates better understand the subject: (1) a grading exercise to bring the topic closer to students’ lives; (2) a Keynesian and an optimal consumption function, followed by an example based on an unemployment insurance policy; and (3) two optional topics consisting of extensions of the optimal consumption function and some empirical results related to the Lucas Critique.

The Lucas Critique influenced the evolution of research in macroeconomics, but it is not easily grasped in a classroom.

F. A. Hayek’s macroeconomic theory and policy ideas have gained renewed attention since the cheap-money boom until 2007, and subsequent bust, followed the basic Hayekian narrative. Only to a very limited extent, however, do we find Hayek’s ideas on the agenda of mainstream macroeconomic researchers since Robert Lucas’s research program gave way to “Neoclassical” and “New Keynesian” DSGE models. We find examples of deeper interest on the periphery of the mainstream. Hayek’s influence on today’s macroeconomic policy discussions remains similarly limited, although he has become an icon to some opponents of loose monetary policy.

Purpose — This chapter reviews the key findings of the reported research in this volume using the wider international literatures on transport and social exclusion as its conceptual framework. It begins by briefly summarising the research and policy context in which the study is set. It then provides an overview of major conceptual, theoretical and methodological advancements relevant to this area over the last 10 years in order to evaluate the study’s contribution to research, policy and practice internationally.

Methodology — The conceptual framework for this chapter is based on a comprehensive review of the international literatures on transport and social exclusion. After a brief introduction to these, it outlines key conceptual, theoretical and methodological advancements as they pertain to transport-related social exclusion. In addition, it evaluates the scope and implications of the methodological approach with particular reference to contemporary scholarly debates in this area. The chapter subsequently explores the applicability of the research in policy and practice, both inside and outside the Australian context.

Findings — The chapter concludes that the research has made a significant contribution to conceptual, theoretical and methodological developments within the area of transport-related exclusion, and has helped move forward related debates within policy circles. Opportunities for further research are also identified.

Looks at the impact John Maynard Keynes and the movement (Keynesian) he started had on the theory and practice of economics in the 1930s and onwards. Identifies respective problems about capitalism and discusses them in depth. States that the monetary and fiscal policies recommended by Keynes have helped the West escape severe social consequences in the aftermath of the Great Depression. Goes on to show how economists after Keynes carried his work forward and upward in the 1940s and 1950s. Closes by stating there is a further, third revolution in economic thinking on the rise.

Many dynamic problems in economics are characterized by large state spaces which make both computing and estimating the model infeasible. We introduce a method for approximating the value function of high-dimensional dynamic models based on sieves and establish results for the (a) consistency, (b) rates of convergence, and (c) bounds on the error of approximation. We embed this method for approximating the solution to the dynamic problem within an estimation routine and prove that it provides consistent estimates of the modelik’s parameters. We provide Monte Carlo evidence that our method can successfully be used to approximate models that would otherwise be infeasible to compute, suggesting that these techniques may substantially broaden the class of models that can be solved and estimated.