This book presents an original exposition of general equilibrium theory for advanced undergraduate and graduate-level students of economics. It contains detailed discussions of economic efficiency, competitive equilibrium, the first and second welfare theorems, the Kuhn-Tucker approach to general equilibrium, the Arrow-Debreu model, and rational expectations equilibrium and the permanent income hypothesis. Truman Bewley also treats optimal growth and overlapping generations models as special cases of the general equilibrium model. He uses the model and the first and second welfare theorems to explain the main ideas of insurance, capital theory, growth theory, and social security. It enables him to present a unified approach to portions of macro- as well as microeconomic theory. The book contains problems sets for most chapters.

The book provides a hands-on introduction to computable general equilibrium (CGE) models, written at an accessible, undergraduate level.

International trade is the core foundation of globalisation. This current and up-to-date volume brings together the finest academics working in the field today, containing contributions in key areas of policy research, such as, modelling frameworks, trade policy, trade and migration, trade and the environment, trade and unemployment.

The authors' model is the first large-scale computer simulation of the effects of changes in U.S. import quotas.

Existing estimates of power laws in firm size typically ignore the impact of international trade. Using a simple theoretical framework, we show that international trade systematically affects the distribution of firm size: the power law exponent among exporting firms should be strictly lower in absolute value than the power law exponent among non-exporting rms. We use a dataset of French firms to demonstrate that this prediction is strongly supported by the data. While estimates of power law exponents have been used to pin down parameters in theoretical and quantitative models, our analysis implies that the existing estimates are systematically lower than the true values. We propose two simple ways of estimating power law parameters that take explicit account of exporting behavior.