Portfolio Implications of Cointegration Between Labor Income and Dividends

De Economist ◽  
2012 ◽  
Vol 160 (4) ◽  
pp. 397-412 ◽  
Author(s):  
Frank de Jong
Keyword(s):  

EDIS ◽  
2017 ◽  
Vol 2017 (5) ◽  
Author(s):  
Alan W. Hodges ◽  
Mohammad Rahmani ◽  
Christa D. Court

This analysis was conducted using the Implan regional economic modeling system and associated state and county databases (IMPLAN Group LLC) to estimate economic multipliers and contributions for over 500 different industry sectors. Multipliers capture the indirect and induced economic activity generated by re-spending of income or sales revenues in a regional economy. A collection of 121 industry sectors were included in the analysis to represent the broad array of activities encompassed by agricultural and natural-resource commodity production, manufacturing, distribution and supporting services in Florida. Economic contributions can be measured in terms of employment, industry output, value added, exports, labor income, other property income, and business taxes. A glossary of economic terms used in this report is provided following this summary.



2009 ◽  
Author(s):  
ByoungKyu Min ◽  
Tong Suk Kim ◽  
Dongcheol Kim


Author(s):  
Radhakrishnan Gopalan ◽  
Barton Hamilton ◽  
Ankit Kalda ◽  
David Sovich

Abstract Using detailed data for U.S. homeowners, we document a negative, nonlinear relation between the loan-to-value ratio (LTV) of homeowners' primary residence and their labor income. Consistent with high LTV individuals experiencing constrained mobility, we find stronger effects among subprime, liquidity-constrained individuals and those living in regions with limited alternative local employment opportunities and strict noncompete law enforcement. Though high LTV individuals are less likely to move across MSAs, they are more likely to change jobs without changing their residence. We find no effects among similar neighboring renters employed at the same firm and with a similar job tenure.



Author(s):  
Jeremy Mattson ◽  
Del Peterson

The objective of this research was to measure the benefits of rural and small urban transit services in Minnesota. The study accomplished this by first identifying, describing, and classifying the potential benefits of transit. Second, a method was developed to measure these benefits. Where possible, benefits were quantified in dollar values. Other benefits that could not be quantified in monetary terms were either quantified in another way or described qualitatively. The study included an analysis of societal benefits and economic impacts within local communities. Third, the developed method was applied to a series of six case studies across Greater Minnesota. Data were collected through onboard rider surveys for each of the six transit agencies. Total benefits and benefit-cost ratios were estimated for the six transit agencies—all showed benefits that exceeded costs—and results were generalized to Greater Minnesota. Economic impacts were also estimated showing the effect on jobs, labor income, and value added. This research provides information to assess the benefits of public spending on transit, which gives decision makers the data needed to inform investment decisions.



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