scholarly journals The Pricing Efficiency of Corn in a Minor Surplus Production Area

1978 ◽  
Vol 10 (2) ◽  
pp. 165-169
Author(s):  
Steven K. Riggins

The U.S. grain marketing system frequently is cited as a fairly good working example of the perfect market concept. In general, research has shown that prices change as predicted, to account for the changes in the time, place, and form of the commodity. Much of the research done on grain prices over space has concentrated on the major grain producing states and/or has been cast in the Judge and Wallace general equilibrium framework. The author reports the results of an analysis of corn pricing efficiency in a minor surplus area (western New York) located in a much larger deficit area (the northeastern U.S.).

1978 ◽  
Vol 7 (1) ◽  
pp. 19-22
Author(s):  
Steven K. Riggins

This paper develops the methodology used to investigate the pricing efficiency of farm level corn prices in a minor surplus production area (Western New York) located within a much larger regionally deficit, producing area. The results indicate that from January 1975-June 1976, farm level corn prices in Western New York were not competitively efficient. However, Western New York corn prices were competitively efficient after mid June 1976. A conclusion is that Western New York corn prices became competitively efficient after two new relatively large buyers located in the area.


2008 ◽  
Vol 35 (2) ◽  
pp. 145-179 ◽  
Author(s):  
George C. Romeo ◽  
James J. McKinney

Joseph Hardcastle was one of the foremost authorities on subjects connected with the mathematics of finance and other topics in accounting in the late 19th and early 20th centuries. As a teacher, author, and leader in the profession, he figured prominently in the elevation of accountancy. Hardcastle is relatively unknown in the literature except for having the distinction of scoring the highest grades on the first CPA exam in New York in 1896. However, he was well respected during his time as one of the premier theorists in accounting and was awarded an honorary degree of Master of Letters by New York University. Because of his prolific writings, his teaching of future accountants, and his interactions with members of the Institute of Accounts, he had a strong impact on the “science of accounts,” the dominant accounting theory in the U.S. at the turn of the century.


Author(s):  
Mikhail Menis ◽  
Barbee I Whitaker ◽  
Michael Wernecke ◽  
Yixin Jiao ◽  
Anne Eder ◽  
...  

Abstract Background Human babesiosis is a mild-to-severe parasitic infection that poses health concerns especially in older and other at-risk populations. The study objective was to assess babesiosis occurrence among the U.S. Medicare beneficiaries, ages 65 and older, during 2006-2017. Methods Our retrospective claims-based study utilized Medicare databases. Babesiosis cases were identified using recorded diagnosis codes. The study estimated rates (per 100,000 beneficiary-years) overall, by year, diagnosis month, demographics, state and county of residence. Results Nationwide, 19,469 beneficiaries had babesiosis recorded, a rate of 6 per 100,000 person-years, ranging from 4 in 2006 to 9 in 2017 (p<0.05). The highest babesiosis rates were in: Massachusetts (62), Rhode Island (61), Connecticut (51), New York (30), and New Jersey (19). The highest rates by county were in: Nantucket, MA (1,089); Dukes, MA (236); Barnstable, MA (213); and Dutchess, NY (205). Increasing rates, from 2006 through 2017 (p<0.05), were identified in multiple states, including states previously considered non-endemic. New Hampshire, Maine, Vermont, Pennsylvania, and Delaware saw rates increase by several times. Conclusion Our 12-year study shows substantially increasing babesiosis diagnosis trends, with highest rates in well-established endemic states. It also suggests expansion of babesiosis infections in other states and highlights the utility of real-world evidence.


Author(s):  
Catalina Amuedo-Dorantes ◽  
Neeraj Kaushal ◽  
Ashley N. Muchow

AbstractUsing county-level data on COVID-19 mortality and infections, along with county-level information on the adoption of non-pharmaceutical interventions (NPIs), we examine how the speed of NPI adoption affected COVID-19 mortality in the United States. Our estimates suggest that adopting safer-at-home orders or non-essential business closures 1 day before infections double can curtail the COVID-19 death rate by 1.9%. This finding proves robust to alternative measures of NPI adoption speed, model specifications that control for testing, other NPIs, and mobility and across various samples (national, the Northeast, excluding New York, and excluding the Northeast). We also find that the adoption speed of NPIs is associated with lower infections and is unrelated to non-COVID deaths, suggesting these measures slowed contagion. Finally, NPI adoption speed appears to have been less effective in Republican counties, suggesting that political ideology might have compromised their efficacy.


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