{"title":"The Coming(?) Inflation and the Income Tax: Lessons from the Past, Lessons for the Future","authors":"David Gliksberg","doi":"10.5744/ftr.2010.1004","DOIUrl":"https://doi.org/10.5744/ftr.2010.1004","url":null,"abstract":"The concerns about inflation as a result of the current financial crisis and the U.S. budget deficit challenge the social order, including taxation. Based on the historical U.S. experience and discourse on this issue, the article focuses on the relationships between adjusting the tax system for inflation and the general attitude towards adjustment for inflation in the social order. The article offers a new insight which is very different from the current research. The nominalism/adjustism culture that dominates the social order is placed at the center of the analysis. There is “equilibrium” between the scope of adjustment in the social order and in the tax regime. Advancing adjustment of the tax regime requires that it also be promoted in the general social order. This cultural paradigm plays a significant role in the tax response to inflation, including the scope and character of that adjustment regime. This approach erodes the literature’s conservative approach arguing that classical tax policy consideration like cost-benefit analysis is the most effective factor on the adjustment issue. The article argues that adopting an adjusted tax regime is largely dependent on the existence and extent of a general culture towards the concept of “money”: Is the prevailing culture one of nominalism or adjustism?This paradigm explains the reality in the U.S. in the past with regards to adjustment for inflation. The sophisticated American discourse on adjusting the income tax regime for inflation, which first took place in the late nineteen seventies and early nineteen eighties, was unproductive from the start, and was doomed to failure because the U.S. culture of adjustism was not sufficiently ripe for justifying or permitting a “legitimate” social decision on adjusting the tax regime. The lessons from the past are that advancing adjustment of the tax regime requires promoting adjustment of the general social order. Adjusting the income tax regime without adjusting the general social order would be, culturally, a tough mission and even impossible.","PeriodicalId":289078,"journal":{"name":"Macroeconomics: Prices","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134307089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Long-Run Effects of Recessions on Education and Income","authors":"B. Stuart","doi":"10.2139/ssrn.3408324","DOIUrl":"https://doi.org/10.2139/ssrn.3408324","url":null,"abstract":"This paper examines the long-run effects of the 1980–1982 recession on education and income. Using confidential census data, I estimate difference-in-difference regressions that exploit variation across counties in recession severity and across cohorts in age at the time of the recession. For individuals age 0–10 in 1979, a 10 percent decrease in earnings per capita in their county of birth reduces four-year college degree attainment by 15 percent and earnings in adulthood by 5 percent. Simple calculations suggest that in aggregate, the 1980–1982 recession led to 1.3–2.8 million fewer college graduates and $66–$139 billion less earned income per year. (JEL E32, I21, I26, J24, J31)","PeriodicalId":289078,"journal":{"name":"Macroeconomics: Prices","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129614730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"FIBO: A New Approach to Measuring Intercity Differences in Housing Costs","authors":"Nathaniel Harris, Hyung Joon Chung","doi":"10.2139/ssrn.3914797","DOIUrl":"https://doi.org/10.2139/ssrn.3914797","url":null,"abstract":"Intercity housing price indexes that rely on median house price or pooled hedonic regressions adjust imperfectly for differences in housing characteristics. Single equation hedonic methods produce estimates of intercity differences that vary substantially with the specific cities in the regression, the sample sizes from each city, and/or the housing characteristics used. To mitigate these shortcomings, we create intercity housing price indexes for both rental and asset prices, which is a Fisher Ideal aggregation of a two-way Blinder-Oaxaca decomposition, the FIBO index. Our method improves upon current house price indexes because it is far less influenced by the cities studied, sample sizes from each city, and housing characteristics included. We also find, as predicted by Carrillo and Yezer (2021), that asset prices substantially overstate variation in rental prices across cities.","PeriodicalId":289078,"journal":{"name":"Macroeconomics: Prices","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128232950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Extreme Weather and the Macroeconomy","authors":"Hee Soo Kim, C. Matthes, T. Phan","doi":"10.2139/ssrn.3918533","DOIUrl":"https://doi.org/10.2139/ssrn.3918533","url":null,"abstract":"We investigate the macroeconomic impacts of extreme weather shocks on the United States economy over the past sixty years. To identify changes in extreme weather patterns, we use the Actuaries Climate Index, which tracks changes in extreme temperatures, heavy rainfall, drought, high wind, and sea level. We find strong evidence of time-varying effects: While the impacts of extreme weather shocks are negligible at the beginning of the sample, they become significant at the end, where an increase in the index persistently reduces aggregate industrial production growth while raising aggregate unemployment and inflation.","PeriodicalId":289078,"journal":{"name":"Macroeconomics: Prices","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115204155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investors Can Temper Their Inflation Fears: Post-COVID Inflation is Unlikely to Resemble the Great Inflation of 1968 to 1982","authors":"Mark L. Higgins","doi":"10.2139/ssrn.3907668","DOIUrl":"https://doi.org/10.2139/ssrn.3907668","url":null,"abstract":"On August 11, 2021, the U.S. Bureau of Labor Statistics reported a 5.4% per year increase in the CPI for the third consecutive month, intensifying the ongoing debate about whether high inflation will prove temporary or more lasting. This paper seeks to inform this debate by evaluating the current conditions contributing to the recent uptick in inflation and comparing them to conditions that caused similar episodes of high inflation in the past. The paper concludes that inflationary pressures are likely to be temporary, perhaps resembling the two-year period that followed World War I and the Great Influenza. It appears highly unlikely, however, that the United States is on the brink of another Great Inflation, which lasted from 1968 to 1982. The primary reason is that the Federal Reserve of today is much less likely to suffer from the philosophical biases, knowledge gaps, and political pressures that allowed the Great Inflation to occur. If the conclusions in this paper are correct, they may prove valuable to investors. Should elevated levels of inflation prove temporary, over-reactions may lead to decisions that impair an investor's long-term objectives rather than foster their achievement.","PeriodicalId":289078,"journal":{"name":"Macroeconomics: Prices","volume":"73 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132443322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Steady-state Growth","authors":"Doron Nissim","doi":"10.2139/ssrn.3898767","DOIUrl":"https://doi.org/10.2139/ssrn.3898767","url":null,"abstract":"The starting point for estimating firm-specific steady-state growth, which is a critical assumption in implementing fundamental valuation, is the expected long-term growth rate of the economy in which the company operates. This study provides evidence that supports using the risk-free long-term interest rate as the basis for forecasting long-term economy-wide growth. Using the risk-free interest rate and various economists’ forecasts, the study then develops a composite estimate of long-term GDP growth. It concludes by discussing potential adjustments to this estimate in deriving firm-specific steady-state growth rates.","PeriodicalId":289078,"journal":{"name":"Macroeconomics: Prices","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128745144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Uncertainty and Business Cycle Asymmetry","authors":"Yu-Fan Huang, Sui Luo, Hung-Jen Wang","doi":"10.2139/ssrn.3895809","DOIUrl":"https://doi.org/10.2139/ssrn.3895809","url":null,"abstract":"We investigate the link between macroeconomic uncertainty and business cycle asymmetry of the U.S. economy. To this end, we propose an unobserved component model in which the shocks are asymmetrically distributed, and the degree of asymmetry varies with macroeconomic uncertainty. An efficient Bayesian MCMC algorithm is developed. Empirical results suggest that asymmetry in the U.S. business cycles is closely associated with macroeconomic uncertainty. Specifically, high macroeconomic uncertainty tends to be associated with large and negative shocks to the cyclical components. During times of high uncertainty, the probability density of output growth skews to the left, and growth vulnerability increases.","PeriodicalId":289078,"journal":{"name":"Macroeconomics: Prices","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116386495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Harjoat S. Bhamra, Christian Dorion, A. Jeanneret, Michael Weber
{"title":"High Inflation: Low Default Risk and Low Equity Valuations","authors":"Harjoat S. Bhamra, Christian Dorion, A. Jeanneret, Michael Weber","doi":"10.2139/ssrn.3290745","DOIUrl":"https://doi.org/10.2139/ssrn.3290745","url":null,"abstract":"We develop an asset-pricing model with endogenous corporate policies that explains how inflation jointly impacts real asset prices and corporate default risk. Our model includes two empirically founded nominal rigidities: fixed nominal debt coupons (sticky leverage) and sticky cash flows. These two frictions result in lower real equity prices and credit spreads when expected inflation rises. A decrease in expected inflation has opposite effects, with even larger magnitudes. In the cross-section, the model predicts that the negative impact of higher expected inflation on real equity values is stronger for low leverage firms. We find empirical support for the model’s predictions.","PeriodicalId":289078,"journal":{"name":"Macroeconomics: Prices","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129417811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Macroeconomic Cost of Climate Volatility","authors":"H. Mumtaz, Piergiorgio Alessandri","doi":"10.2139/ssrn.3895032","DOIUrl":"https://doi.org/10.2139/ssrn.3895032","url":null,"abstract":"We study the impact of climate volatility on economic growth exploiting data on 133 countries between 1960 and 2005. We show that the conditional (ex-ante) volatility of annual temperatures increased steadily over time, rendering climate conditions less predictable across countries, with important implications for growth. Controlling for concomitant changes in temperatures, a +1oC increase in temperature volatility causes on average a 0.9 percent decline in GDP growth and a 1.3 percent increase in the volatility of GDP. Unlike changes in average temperatures, changes in temperature volatility affect both rich and poor countries.","PeriodicalId":289078,"journal":{"name":"Macroeconomics: Prices","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130269876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"One-Stop Source: A Global Database of Inflation","authors":"Jongrim Ha, M. Kose, F. Ohnsorge","doi":"10.2139/ssrn.3881526","DOIUrl":"https://doi.org/10.2139/ssrn.3881526","url":null,"abstract":"This paper introduces a global database that contains inflation series: (i) for a wide range of inflation measures (headline, food, energy, and core consumer price inflation; producer price inflation; and gross domestic product deflator changes); (ii) at multiple frequencies (monthly, quarterly and annual) for an extended time period (1970-2021); and (iii) for a large number of (up to 196) countries. As it doubles the number of observations over the next-largest publicly available sources, our database constitutes a comprehensive, single source for inflation series. We illustrate the potential use of the database with three applications. First, we study the evolution of inflation since 1970 and document the broad-based disinflation around the world over the past half-century, with global consumer price inflation down from a peak of roughly 17 percent in 1974 to 2.5 percent in 2020. Second, we examine the behavior of inflation during global recessions. Global inflation fell sharply (on average by 0.9 percentage points) in the year to the trough of global recessions and continued to decline even as recoveries got underway. In 2020, inflation declined less, and more briefly, than in any of the previous four global recessions over the past 50 years. Third, we analyze the role of common factors in explaining movements in different measures of inflation. While, across all inflation measures, inflation synchronization has risen since the early 2000s, it has been much higher for inflation measures that involve a larger share of tradable goods.","PeriodicalId":289078,"journal":{"name":"Macroeconomics: Prices","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123869044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}