Single-Period Analysis and Continuation Analysis of Endogenous Money

Author(s):  
Giuseppe Fontana
2019 ◽  
Vol 76 (2) ◽  
pp. 208-216
Author(s):  
Adriana Nogueira ◽  
Nick Tolimieri ◽  
Diana González-Troncoso

There are three different species of redfish (Sebastes spp.) in the waters of the Flemish Cap (Division 3M, NAFO Regulatory Area): S. fasciatus, S. mentella, and S. norvegicus. Historically, S. fasciatus and S. mentella have been managed together as a single stock because of similar biology and difficulty in species identification. Here we use multivariate autoregressive state-space models to examine the abundance trajectories of the three species and to determine whether they can be treated as a single stock for management purposes or whether they should be treaty separately. We also included covariates to evaluate relationships with climate, commercial catch, and the abundance of predators and (or) competitors and prey. We did two separate analyses: (i) a single-period analysis over the full time series and (ii) a blocked, two-period analysis over different regulatory periods. In both analyses, the best-fit model included separate trajectories for each species at each depth but one overall stock growth rate; both also included commercial catches as a covariate. These analyses suggest that a single assessment for the Sebastes complex is acceptable.


2011 ◽  
Vol 45 (8) ◽  
pp. 1128-1151 ◽  
Author(s):  
Behdad Masih-Tehrani ◽  
Susan H. Xu ◽  
Soundar Kumara ◽  
Haijun Li

Crisis ◽  
2020 ◽  
Vol 41 (6) ◽  
pp. 422-428 ◽  
Author(s):  
Masatsugu Orui

Abstract. Background: Monitoring of suicide rates in the recovery phase following a devastating disaster has been limited. Aim: We report on a 7-year follow-up of the suicide rates in the area affected by the Great East Japan Earthquake, which occurred in March 2011. Method: This descriptive study covered the period from March 2009 to February 2018. Period analysis was used to divide the 108-month study period into nine segments, in which suicide rates were compared with national averages using Poisson distribution. Results: Male suicide rates in the affected area from March 2013 to February 2014 increased to a level higher than the national average. After subsequently dropping, the male rates from March 2016 to February 2018 re-increased and showed a greater difference compared with the national averages. The difference became significant in the period from March 2017 to February 2018 ( p = .047). Limitations: Specific reasons for increasing the rates in the recovery phase were not determined. Conclusion: The termination of the provision of free temporary housing might be influential in this context. Provision of temporary housing was terminated from 2016, which increased economic hardship among needy evacuees. Furthermore, disruption of the social connectedness in the temporary housing may have had an influence. Our findings suggest the necessity of suicide rate monitoring even in the recovery phase.


2006 ◽  
pp. 19-31 ◽  
Author(s):  
I. Rozmainsky

The paper considers basic perspectives of post-Keynesian macroeconomics. The author describes post-Keynesian views on theories of durables choice, endogenous money, financial fragility, hysteresis, conflict inflation and endogenous growth. The paper shows distinctions of post-Keynesian approach from both neoclassical tradition and other branches of Keynesianism. The author examines links between post-Keynesian macroeconomics and macroeconomics of Keynes. The paper also considers post-Keynesian views on economic policy and analyzes the relevance of post-Keynesian approach for the post-Soviet Russian economy.


2013 ◽  
Author(s):  
Giovanni Iolascon ◽  
Annarita Capaldo ◽  
Valentina Orlando ◽  
Enrica Menditto ◽  
Francesca Gimigliano

GIS Business ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. 39-45
Author(s):  
J. P. Singh

This article sets up a single period value maximization model for the firm based on stochastic end-of-period cash inflows, stochastic bankruptcy costs and taxes based on income rather than wealth. The risk-return trade-off is captured in the Capital Asset Pricing Model. Thus, the model also assumes a perfect capital market and market equilibrium. The model establishes the existence of a unique optimal financial leverage at which the firm value is maximized, this leverage being less than the maximum debt capacity of the firm.


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