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"Many policies to limit greenhouse gas emissions have at their core efforts to put a price on carbon emissions. Carbon pricing impacts households both by raising the cost of carbon intensive products and by changing factor prices. A complete analysis requires taking both effects into account. The impact of carbon pricing is determined by heterogeneity in household spending patterns across income groups as well as heterogeneity in factor income patterns across income groups. It is also affected by precise formulation of the policy (how is the revenue from carbon pricing distributed) as well as the treatment of other government policies (e.g. the treatment of transfer payments). What is often neglected in analyses of policy is the heterogeneity of impacts across households even within income or regional groups. In this paper, we incorporate 15,588 households from the U.S. Consumer and Expenditure Survey data as individual agents in a comparative-static general equilibrium framework. These households are represented within the MIT USREP model, a detailed general equilibrium model of the U.S. economy. In particular, we categorize households by full household income (factor income as well as transfer income) and apply various measures of lifetime income to distinguish households that are temporarily low-income (e.g., retired households drawing down their financial assets) from permanently low-income households. We also provide detailed within-group distributional measures of burden impacts from various policy scenarios"--National Bureau of Economic Research web site

This book presents a new computational approach to solving large-scale Auerbach-Kotlikoff Overlapping Generations (OLG) models in a complementarity format. Unlike with integrated solution methods, the proposed decomposition algorithm allows for the solution of multi-regional and multi-sectoral OLG models that exhibit a large number of heterogeneous consumers and a variety of household-specific effects. By broadening the scope of economic analysis, this new approach provides a powerful tool for applied general equilibrium modelers. In this book, the algorithm is applied to the macroeconomics of demographic change, demonstrating its flexibility and scope as a solution concept. With a specific analysis on the implications of globally unsynchronized demographic patterns for international trade, the book also explores the sectoral and distributional consequences of an aging population in Germany.

We examine the distributional and e ciency impacts of climate policy in the context of fiscal consolidation in a dynamic general-equilibrium overlapping generations model of the US economy. The model includes a disaggregated production structure, including energy sector detail and advanced low- or zero-carbon energy technologies, and detail on government taxes and spending. In contrast to revenue-neutral carbon tax swaps, using the carbon revenue for deficit reduction implies a relaxation of future public budgets as debt repayment results in lower interest obligations. While we show that the intergenerational welfare impacts depend importantly on what tax recycling instrument is used, we find that combining debt consolidation with a carbon policy entails the possibility of sustained welfare gains for future generations. We thus argue that combining fiscal and climate policy may o er the chance for positive societal gains (without considering potential benefits from averted climate change). Importantly, this may enhance the political support for revenue-raising climate policies that are framed over the next couples of decades.