scispace - formally typeset
Search or ask a question
Institution

Government of Canada

GovernmentOttawa, Ontario, Canada
About: Government of Canada is a government organization based out in Ottawa, Ontario, Canada. It is known for research contribution in the topics: Monetary policy & Debt. The organization has 796 authors who have published 886 publications receiving 21366 citations. The organization is also known as: federal government of Canada & Her Majesty's Government.


Papers
More filters
Journal ArticleDOI
H.G. James1
TL;DR: WISP/HF is a flexible Shuttle/Spacelab instrument for transmitting, receiving and processing signals in the 0.3 to 30 MHz range as discussed by the authors, which is used to study the transmitting antenna, fundamentals of electromagnetic (EM) and electrostatic (ES) waves in magnetoplasmas, plasma instabilities and nonlinearities, and sounding of ionospheric structure.

1 citations

Journal ArticleDOI
01 Jun 2020
TL;DR: The objective of this study was to ascertain the minimum and most effective dose of BG on PP glucose and insulin response using waffles as the test food and found that the low dose provided a physiological benefit (reduction in PP glucose response >20%).
Abstract: Barley β-glucan (BG) has reported post-prandial (PP) glycemic response lowering effects. The objective of this study was to ascertain the minimum and most effective dose of BG on PP glucose and insulin response using waffles as the test food. Healthy adults (7 men/17 women) completed a randomized controlled crossover trial at the Asper Research Institute in Winnipeg, MB. Each participant attended five 2.5-hour study visits separated by 3–14 days (average = 7 days). At each visit participants ate waffles containing 30 g available carbohydrates (AC) with varied doses of BG (0, 2, 4, or 6 g). Wheat waffles with low fibre and protein (0g-1) and wheat waffles matched to BG waffles for insoluble dietary fibre and protein (0g-2) were used as controls. The order of treatments was random. Fasting, 15, 30, 45, 60, 90 and 120 minute PP capillary blood samples were collected for analysis of blood glucose and plasma insulin levels. Data were analyzed using analysis of covariance with treatment, participant, visit number and interaction between treatment and visit number included in the model. Differences (P ≤ 0.05) among treatments were determined using least square means adjusted using the Tukey option. There was a significant effect of treatment on both glucose and insulin iAUC (P < 0.0001). Glucose iAUC was 31–40% lower after eating 2, 4 and 6 g BG waffles compared to both 0 g waffles. Glucose iAUC was not significantly different between 0 g waffles or among BG waffles. Insulin iAUC was not significantly different between 0 g waffles. Insulin iAUC was 32% lower after eating 2 g BG compared to 0g-1, but not significantly different from 0g-2 waffles. Insulin iAUC was 36–58% lower after eating 4 and 6 g BG compared to both 0 g waffles, and 38% lower after eating 6 g BG compared to 2 g BG waffles. The low dose (2 g BG per 30 g AC) provided a physiological benefit (reduction in PP glucose response >20%). Increasing dose to 4 or 6 g BG did not provide additional glucose lowering benefits, but insulin response decreased as BG dose increased. Lack of difference in glucose and insulin iAUC between the two 0 g control waffles (insoluble fibre 1 g vs 8 g; soluble fibre 0 g), but higher PP glycemic responses than BG waffles emphasizes that the type of fibre is key to PP glycemic responses. Agriculture and Agri-Food Canada.

1 citations

Journal ArticleDOI
Zhentong Lu1
TL;DR: In this article, the authors proposed a new approach to estimate multinomial choice models when each consumer's actual choice set is unobservable but could be bounded by two known sets, i.e., the largest and smallest possible choice sets.
Abstract: This paper proposes a new approach to estimating multinomial choice models when each consumer’s actual choice set is unobservable but could be bounded by two known sets, i.e., the largest and smallest possible choice sets. The bounds on choice set, combined with a monotonicity property derived from utility maximization, imply a system of inequality restrictions on observed choice probabilities that could be used to identify and estimate the model. A key insight is that the identification of random utility model can be achieved without exact information on consumers’ choice sets, which generalizes the identification result of the standard multinomial choice model. The effectiveness of the proposed approach is demonstrated via a range of Monte Carlo experiments as well as an empirical application to consumer demand for potato chips using household scanner data.

1 citations

Journal ArticleDOI
TL;DR: In this paper, the authors studied constrained-efficient dividend policy when banks fund loans with equity and debt, and found that constrained efficient dividends, while restricted during normal times and zero during crises, are higher during recoveries.
Abstract: Financial regulation imposes equity buffers on banks by restricting dividends. This paper studies constrained-efficient dividend policy when banks fund loans with equity and debt. In the model, bank shareholders consider equity costly and a bank’s access to debt depends on its shareholder value. In response to loan losses banks cut dividends, but eventually defer dividends too much. They do not internalize that a commitment to higher dividends (and fewer loans) during recoveries from financial crises would increase shareholder value and access to debt during crises. Constrained-efficient dividends, while restricted during normal times and zero during crises, are higher during recoveries.

1 citations


Authors

Showing all 802 results

NameH-indexPapersCitations
Kingston H. G. Mills9231329630
David W. Schindler8521739792
Martha C. Anderson7034020288
Hui Li6224614395
Lei Zhang5814621872
Michael J. Vanni5512411714
Cars Hommes5425014984
Richard E. Caves5311524552
John W. M. Rudd51709446
Karen A. Kidd4716310255
Kenneth O. Hill431268842
Steven H. Ferguson432256797
Derwyn C. Johnson411038208
Kevin E. Percy40915167
Guy Ampleman401284706
Network Information
Related Institutions (5)
University of Waterloo
93.9K papers, 2.9M citations

73% related

Queen's University
78.8K papers, 2.8M citations

72% related

Virginia Tech
95.2K papers, 2.9M citations

72% related

University of Maryland, College Park
155.9K papers, 7.2M citations

72% related

Université de Montréal
100.4K papers, 4M citations

72% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
20223
202147
202044
201931
201832