James H. Stock – författare

The inability of forecasters to predict accurately the 1990-1991 recession emphasizes the need for better ways for charting the course of the economy. In this volume, leading economists examine forecasting techniques developed over the past ten years, compare their performance to traditional econometric models, and discuss new methods for forecasting and time series analysis.

This volume presents six new papers on environmental and energy economics and related policy issues. Robert Pindyck provides a systematic overview of what is known, and remains unknown, about climate change, along with the implications of uncertainty for climate policy. Shaikh Eskander, Sam Fankhauser, and Joana Setzer offer insights from a comprehensive data set on climate change legislation and litigation across all countries of the world over the past thirty years. Adele Morris, Noah Kaufman, and Siddhi Doshi shine a light on how expected trends in the coal industry will create significant challenges for the local public finance of coal-reliant communities. Joseph Aldy and his collaborators analyze the treatment of co-benefits in benefit-cost analyses of federal clean air regulations. Tatyana Deryugina and her co-authors report on the geographic and socioeconomic heterogeneity in the benefits of reducing particulate matter air pollution. Finally, Oliver Browne, Ludovica Gazze, and Michael Greenstone use detailed data on residential water consumption to evaluate the relative impacts of conservation policies based on prices, restrictions, and public persuasion.

This volume presents six new papers on environmental and energy economics and policy in the United States. Rebecca Davis, J. Scott Holladay, and Charles Sims analyze recent trends in and forecasts of coal-fired power plant retirements with and without new climate policy. Severin Borenstein and James Bushnell examine the efficiency of pricing for electricity, natural gas, and gasoline. James Archsmith, Erich Muehlegger, and David Rapson provide a prospective analysis of future pathways for electric vehicle adoption. Kenneth Gillingham considers the consequences of such pathways for the design of fuel vehicle economy standards. Frank Wolak investigates the long-term resource adequacy in wholesale electricity markets with significant intermittent renewables. Finally, Barbara Annicchiarico, Stefano Carattini, Carolyn Fischer, and Garth Heutel review the state of research on the interactions between business cycles and environmental policy.

Rigorous, careful, and nonpartisan research with a high policy impact on environmental and energy economics.Environmental and Energy Policy and the Economy focuses on the effective and efficient management of environmental and energy challenges. Research papers offer new evidence on the intended and unintended consequences, the market and nonmarket effects, and the incentive and distributional impacts of policy initiatives and market developments.This volume presents six new papers on environmental and energy economics and policy. Gilbert Metcalf examines the distributional impacts of substituting a vehicle miles-traveled tax for the existing federal excise tax in the United States. David Weisbach, Samuel Kortum, Michael Wang, and Yujia Yao consider solutions to the leakage problem of climate policy with differential tax policies on the supply and demand for fossil fuels and on domestic production and consumption. Danae Hernandez-Cortes, Kyle Meng, and Paige Weber quantify and decompose recent trends in air pollution disparities in the US electricity sector. Severin Borenstein and Ryan Kellogg provide a comparative analysis of different incentive-based mechanisms to reduce emissions in the electricity sector on a path to zero emissions. Sarah Anderson, Andrew Plantinga, and Matthew Wibbenmeyer document distributional differences in the allocation of  US wildfire prevention projects. Finally, Mark Curtis and Ioana Marinescu provide new evidence on the quality and quantity of emerging “green” jobs in the United States.

This 2005 volume contains the papers presented in honor of the lifelong achievements of Thomas J. Rothenberg on the occasion of his retirement. The authors of the chapters include many of the leading econometricians of our day, and the chapters address topics of current research significance in econometric theory. The chapters cover four themes: identification and efficient estimation in econometrics, asymptotic approximations to the distributions of econometric estimators and tests, inference involving potentially nonstationary time series, such as processes that might have a unit autoregressive root, and nonparametric and semiparametric inference. Several of the chapters provide overviews and treatments of basic conceptual issues, while others advance our understanding of the properties of existing econometric procedures and/or propose others. Specific topics include identification in nonlinear models, inference with weak instruments, tests for nonstationary in time series and panel data, generalized empirical likelihood estimation, and the bootstrap.

This 2005 volume contains the papers presented in honor of the lifelong achievements of Thomas J. Rothenberg on the occasion of his retirement. The authors of the chapters include many of the leading econometricians of our day, and the chapters address topics of current research significance in econometric theory. The chapters cover four themes: identification and efficient estimation in econometrics, asymptotic approximations to the distributions of econometric estimators and tests, inference involving potentially nonstationary time series, such as processes that might have a unit autoregressive root, and nonparametric and semiparametric inference. Several of the chapters provide overviews and treatments of basic conceptual issues, while others advance our understanding of the properties of existing econometric procedures and/or propose others. Specific topics include identification in nonlinear models, inference with weak instruments, tests for nonstationary in time series and panel data, generalized empirical likelihood estimation, and the bootstrap.