{"title":"Losing the Inflation Anchor","authors":"R. Reis","doi":"10.1353/eca.2022.0004","DOIUrl":"https://doi.org/10.1353/eca.2022.0004","url":null,"abstract":"ABSTRACT:Inflation has an anchor in people's expectations of what its longrun value will be. If expectations persistently change, then the anchor is adrift; if they differ from the central bank's target, the anchor is lost. This paper uses data on expectations from market prices, from professional surveys, and from the cross-sectional distribution of household surveys to measure shifts in this anchor. The paper's main application is to the Great Inflation in the United States. The data suggest that the anchor started drifting as early as 1967 and that this could have been spotted well before policymakers noticed it. Other applications using expectations data from Brazil, Turkey, South Africa, the United States in the 1970s, and the United States in 2021 confirm the data's usefulness to measure the inflation anchor in real time.","PeriodicalId":51405,"journal":{"name":"Brookings Papers on Economic Activity","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78783490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comments and Discussion","authors":"","doi":"10.1353/eca.2022.0009","DOIUrl":"https://doi.org/10.1353/eca.2022.0009","url":null,"abstract":"","PeriodicalId":51405,"journal":{"name":"Brookings Papers on Economic Activity","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77503203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Employment Impact of a Green Fiscal Push: Evidence from the American Recovery and Reinvestment Act","authors":"D. Popp, F. Vona, Giovanni Marin, Ziqiao Chen","doi":"10.1353/eca.2022.0000","DOIUrl":"https://doi.org/10.1353/eca.2022.0000","url":null,"abstract":"ABSTRACT:Investments in the green economy are used for both environmental goals and fiscal stimulus. The success of these investments depends, at least in part, on whether they create new jobs and whether such jobs are available to workers hurt by a green transition. We evaluate the employment effect of green investments from the American Recovery and Reinvestment Act (ARRA). Most job creation from green ARRA investments is permanent and emerged in the post-ARRA period, but the plausible range of estimates is extremely wide (zero to twenty-five jobs per $1 million). Such large uncertainty on aggregate effects masks substantial heterogeneity across communities. The green stimulus mostly benefited areas with a greater prevalence of preexisting green skills that created 40 percent additional jobs than average communities. New jobs are primarily manual labor and in occupations performing green tasks, especially in renewable energy. However, manual labor wages do not increase. Descriptive evidence suggests that the skill gap between green energy and fossil fuel workers is modest, but green jobs require significantly more training. Because the spatial distribution of skills and jobs matters, using green stimuli can help reshape the economy in the long run but may also exacerbate regional inequities associated with the green energy transition.","PeriodicalId":51405,"journal":{"name":"Brookings Papers on Economic Activity","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87459151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comments and Discussion","authors":"M. Greenstone, Mar Reguant","doi":"10.1353/eca.2022.0010","DOIUrl":"https://doi.org/10.1353/eca.2022.0010","url":null,"abstract":"","PeriodicalId":51405,"journal":{"name":"Brookings Papers on Economic Activity","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85493538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comments and Discussion","authors":"Marianne Bertrand, Edward L. Glaeser","doi":"10.1353/eca.2022.0008","DOIUrl":"https://doi.org/10.1353/eca.2022.0008","url":null,"abstract":"","PeriodicalId":51405,"journal":{"name":"Brookings Papers on Economic Activity","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76188228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comments and Discussion","authors":"Gabriel Chodorow-reich, V. Ramey","doi":"10.1353/eca.2022.0011","DOIUrl":"https://doi.org/10.1353/eca.2022.0011","url":null,"abstract":"","PeriodicalId":51405,"journal":{"name":"Brookings Papers on Economic Activity","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76265148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Rennert, Brian C. Prest, W. Pizer, R. Newell, D. Anthoff, Cora Kingdon, Lisa Rennels, R. Cooke, A. Raftery, H. Ševčíková, F. Errickson
{"title":"The Social Cost of Carbon: Advances in Long-Term Probabilistic Projections of Population, GDP, Emissions, and Discount Rates","authors":"K. Rennert, Brian C. Prest, W. Pizer, R. Newell, D. Anthoff, Cora Kingdon, Lisa Rennels, R. Cooke, A. Raftery, H. Ševčíková, F. Errickson","doi":"10.1353/eca.2022.0003","DOIUrl":"https://doi.org/10.1353/eca.2022.0003","url":null,"abstract":"ABSTRACT:The social cost of carbon (SCC) is a crucial metric for informing climate policy, most notably for guiding climate regulations issued by the US government. Characterization of uncertainty and transparency of assumptions are critical for supporting such an influential metric. Challenges inherent to SCC estimation push the boundaries of typical analytical techniques and require augmented approaches to assess uncertainty, raising important considerations for discounting. This paper addresses the challenges of projecting very long-term economic growth, population, and greenhouse gas emissions, as well as calibration of discounting parameters for consistency with those projections. Our work improves on alternative approaches, such as nonprobabilistic scenarios and constant discounting, that have been used by the government but do not fully characterize the uncertainty distribution of fully probabilistic model input data or corresponding SCC estimate outputs. Incorporating the full range of economic uncertainty in the social cost of carbon underscores the importance of adopting a stochastic discounting approach to account for uncertainty in an integrated manner.","PeriodicalId":51405,"journal":{"name":"Brookings Papers on Economic Activity","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76994795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhengyang Jiang, Hanno Lustig, Stijn Van Nieuwerburgh, M. Xiaolan
{"title":"Measuring US Fiscal Capacity Using Discounted Cash Flow Analysis","authors":"Zhengyang Jiang, Hanno Lustig, Stijn Van Nieuwerburgh, M. Xiaolan","doi":"10.2139/ssrn.4058541","DOIUrl":"https://doi.org/10.2139/ssrn.4058541","url":null,"abstract":"ABSTRACT:We use discounted cash flow analysis to measure the projected fiscal capacity of the US federal government. We apply our valuation method to the Congressional Budget Office (CBO) projections for the US federal government's primary deficits between 2022 and 2052 and projected debt outstanding in 2052. The discount rate for projected cash flows and future debt must include a GDP or market risk premium in recognition of the risk associated with future surpluses. Despite current low interest rates, we find that US fiscal capacity is more limited than commonly thought. Because of the back-loading of projected primary surpluses, the duration of the surplus claim far exceeds the duration of the outstanding Treasury portfolio. This duration mismatch exposes the government to the risk of rising interest rates, which would trigger the need for higher tax revenue or lower spending. Reducing this risk by front-loading primary surpluses requires a major fiscal adjustment.","PeriodicalId":51405,"journal":{"name":"Brookings Papers on Economic Activity","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89182948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Supplemental Expenditure Poverty Measure: A New Method for Measuring Poverty","authors":"John M. Fitzgerald, R. Moffitt","doi":"10.1353/eca.2022.0017","DOIUrl":"https://doi.org/10.1353/eca.2022.0017","url":null,"abstract":"ABSTRACT:We propose a new measure of the rate of poverty we call the supplemental expenditure poverty measure (SEPM), based on expenditure in the Consumer Expenditure Survey. It treats household expenditure as a measure of resources available to purchase the minimum bundle necessary to meet basic needs. Our measure differs from conventional income and consumption poverty in both concept and measurement, and it has advantages relative to both. Poverty rates using our basic measure are very close in level and recent trend to those of the most preferred income-based poverty rate produced by the US Census Bureau. But the SEPM poverty rate differs from the US Census Bureau measure at different levels of the poverty line. For example, the number of individuals living in either poor or almost poor households is 5 percentage points greater (about 16 million individuals) using our measure. We also construct an augmented measure that adds additional potential liquid resources. This \"maximal resources\" measure indicates that if disadvantaged households used up all their bank balances and maximized their credit card borrowing, 9.6 percent of the population (over 31 million individuals) would still be poor and unable to purchase the goods necessary for the basic needs of life.","PeriodicalId":51405,"journal":{"name":"Brookings Papers on Economic Activity","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88729203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}