Government bonds are usually traded between the financial institutions and the Fed during the open market operations. These operations impact the bank reserves, subsequently influencing the monetary base. The monetary base and government bonds may portray a common trend and government debt could potentially bind the central bank to debt monetization. This paper, using monthly data on federal government debt and the monetary base from 1947:1 to 2018:10, investigates the presence of a long-run equilibrium relationship between the two variables and as to how the long-run equilibrium relationship vary in the short-run. Threshold cointegration tests find evidence of a long-run equilibrium relationship. Estimates of the threshold vector error-correction model find statistically significant evidence of contraction in the monetary base growth in the short-run in regime 1. In regime 2, the growth in the monetary base does not adjust to accommodate faster government debt growth. These estimates find no evidence of debt monetization or otherwise in either of the regimes in the United States. The Fed, by reducing the monetary base, perhaps focuses more on the inflation target. The findings also suggest a potential scenario where the Fed and the fiscal authority are not conjoined with each other in their operations.
PurposeThis paper explores the evidence of a long-run co-movement between aggregate unemployment insurance spending and the labor force participation rate in the USA. The unemployment insurance (UI) program tends to expand during an economic downturn and contract during an expansion. UI may incentivize unemployment and may also facilitate better matching in the labor market. Statistical evidence of the presence of a co-movement will thus shed new light on their dynamics.Design/methodology/approachThis research applies time-series econometric approach using monthly data from 1959:1 to 2020:3 to test threshold cointegration and estimate a threshold vector error-correction (TVEC) model. The estimates from the TVEC model investigating the nature of short-run dynamics.FindingsThe Enders and Siklos (2001) test find evidence of threshold cointegration between the two indicating the presence of long-run co-movement. The estimates from the TVEC model investigating the nature of short-run dynamics find evidence that the growth in aggregate UI spending and the growth in labor force participation rate adjust simultaneously to maintain the long-run co-movement above the threshold in the short run. The author also observes the same short-run dynamics for the growth in aggregate UI spending and the growth in the labor force participation rate for females.Research limitations/implicationsThis model is bi-variate by construction and does not address causality.Practical implicationsThe author argues that the UI program positively impacts the female labor market outcomes, for example, better matching. This finding may explain the upward trend in the labor force participation rate for females in the USA.Social implicationsThe research findings may justify the transfer programs for minority and immigrants.Originality/valueThis is first research that analyzes the UI programs impact on the labor force participation using a macroeconometric approach. To the best of the author's knowledge, this is the first study in this genre.
In this research, we explore the dynamics among measures of income inequality in the United States, male and female unemployment rates, and growth in government transfer using time series data. This research adopts a macro-econometric approach using a structural VAR model. Our structural impulse responses find growth in government transfer increases unemployment rates for both males and females. Female income inequality declines with increased government transfer. When the female income ratio rises, we observe the government transfer outlays fall over the forecast horizon. Variance decomposition finds that growth in government transfers is impacted by the male unemployment rate relatively more than the female unemployment rate. This research, therefore, suggests gender-specific government transfers to reduce income inequality. This, in effect, may reduce government transfer outlays over time. JEL code: C32, D63, E24, I38, J16
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.