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Analyzing the Labor Market Outcomes of Occupational Licensing
Recent assessments of occupational licensing have shown varying effects of the institution on labor market outcomes. This study revisits the relationship between occupational licensing and labor market outcomes by analyzing a new topical module to the Survey of Income and Program Participation (SIPP). Relative to previously available data, the topical module offers more detailed information on occupational licensing from government, with a larger sample size and access to a richer set of person-level characteristics. We exploit this larger and more detailed data set to examine the labor ...
The impact of policy uncertainty on U. S. employment: industry evidence
The anemic pace of the recovery of the U. S. economy from the Great Recession has frequently been blamed on heightened uncertainty, much of which concerns the nation?s fiscal policy. Intuition suggests that increased policy uncertainty likely has different impacts on different industries, to the extent that industries differ in their exposure to government policies. This study utilizes industry data to explore whether policy uncertainty indeed affects the dynamics of employment, and particularly its impact on industry employment, during this recovery. This analysis focuses on heterogeneity ...
The cost of fiscal policy uncertainty: industry evidence of its impact on the labor market
The anemic pace of the recovery of the U.S. economy from the Great Recession has frequently been blamed on heightened uncertainty, much of which concerns the nation's fiscal policy. Intuition suggests that increased policy uncertainty likely has different impacts on industries with different exposure to government actions. Such heterogeneity can help identify the effect of shocks due to policy uncertainty. This study uses industry data to explore whether policy uncertainty indeed affects the dynamics of employment during this recovery, and particularly whether it has a differential impact on ...
Embedded Supervision: How to Build Regulation into Blockchain Finance
The spread of distributed ledger technology (DLT) in finance could help to improve the efficiency and quality of supervision. This paper makes the case for embedded supervision, i.e., a regulatory framework that provides for compliance in tokenized markets to be automatically monitored by reading the market?s ledger, thus reducing the need for firms to actively collect, verify and deliver data. After sketching out a design for such schemes, the paper explores the conditions under which distributed ledger data might be used to monitor compliance. To this end, a decentralized market is modelled ...
Beyond the Doomsday Economics of “Proof-of-Work” in Cryptocurrencies
This paper discusses the economics of how Bitcoin achieves data immutability, and thus payment finality, via costly computations, i.e., ?proof-of-work.? Further, it explores what the future might hold for cryptocurrencies modelled on this type of consensus algorithm. The conclusions are, first, that Bitcoin counterfeiting via ?double-spending? attacks is inherently profitable, making payment finality based on proof-of-work extremely expensive. Second, the transaction market cannot generate an adequate level of ?mining? income via fees as users free-ride on the fees of other transactions in a ...
Economic Uncertainty before and during the COVID-19 Pandemic
We consider several economic uncertainty indicators for the United States and the UK before and during the COVID-19 pandemic: implied stock market volatility, newspaper-based economic policy uncertainty, twitter chatter about economic uncertainty, subjective uncertainty about future business growth, and disagreement among professional forecasters about future gross domestic product growth. Three results emerge. First, all indicators show huge uncertainty jumps in reaction to the pandemic and its economic fallout. Indeed, most indicators reach their highest values on record. Second, peak ...