Institution
Government of Canada
Government•Ottawa, 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 & Productivity. 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 published on a yearly basis
Papers
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TL;DR: This paper developed a simple model for measuring potential output that uses data on inflation, unemployment, and capacity utilization, and applied the model to 10 countries, in addition to the United States and the euro area.
Abstract: This paper develops a simple model for measuring potential output that uses data on inflation, unemployment, and capacity utilization. We apply the model to 10 countries, in addition to the United States and the euro area. While there is a substantial amount of uncertainty around our estimates, we find that the financial crisis has resulted in a reduction in potential output.
84 citations
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Deutsche Bundesbank1, De Nederlandsche Bank2, VU University Amsterdam3, Hungarian National Bank4, Federal Reserve Bank of New York5, Government of Canada6, Indiana University7, European Central Bank8, Bank of Mexico9, Bank of Korea10, Government of the United States of America11, Bank of England12, Central Bank of Brazil13, Oswaldo Cruz Foundation14
TL;DR: In this paper, a horse race of network reconstruction methods using network data obtained from 25 different markets spanning 13 jurisdictions is conducted, and the methods are ranked in terms of their ability to reconstruct the structures of links and exposures in networks.
Abstract: Capturing financial network linkages and contagion in stress test models are important goals for banking supervisors and central banks responsible for micro- and macroprudential policy. However, granular data on financial networks is often lacking, and instead the networks must be reconstructed from partial data. In this paper, we conduct a horse race of network reconstruction methods using network data obtained from 25 different markets spanning 13 jurisdictions. Our contribution is two-fold: first, we collate and analyze data on a wide range of financial networks. And second, we rank the methods in terms of their ability to reconstruct the structures of links and exposures in networks.
83 citations
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Monash University1, Stanford University2, Australian Antarctic Division3, Centre national de la recherche scientifique4, University of Oslo5, BirdLife International6, University of Cambridge7, University College London8, British Antarctic Survey9, University of Exeter10, Antarctica New Zealand11, Government of Canada12, University of Melbourne13, Texas A&M University14, Stony Brook University15, University of British Columbia16, University of Barcelona17, Concordia University18
TL;DR: It is suggested that for a region so remote and apparently pristine as the Antarctic, the biodiversity outlook is similar to that for the rest of the planet, and much scope for remedial action exists.
Abstract: The Strategic Plan for Biodiversity, adopted under the auspices of the Convention on Biological Diversity, provides the basis for taking effective action to curb biodiversity loss across the planet by 2020—an urgent imperative. Yet, Antarctica and the Southern Ocean, which encompass 10% of the planet’s surface, are excluded from assessments of progress against the Strategic Plan. The situation is a lost opportunity for biodiversity conservation globally. We provide such an assessment. Our evidence suggests, surprisingly, that for a region so remote and apparently pristine as the Antarctic, the biodiversity outlook is similar to that for the rest of the planet. Promisingly, however, much scope for remedial action exists.
81 citations
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TL;DR: The authors developed an economic framework to analyze the exchange rate of virtual currency and showed that, as virtual currency becomes more established, it becomes less sensitive to the impact of shocks to speculators' beliefs.
Abstract: This paper develops an economic framework to analyze the exchange rate of virtual currency. Three components are important. First, the actual use of virtual currency to make payments. Second, the decision of forward-looking investors to buy virtual currency (thereby effectively regulating its supply). Third, the elements that jointly drive future consumer adoption and merchant acceptance of virtual currency. The model predicts that, as virtual currency becomes more established, the exchange rate becomes less sensitive to the impact of shocks to speculators' beliefs. This undermines the notion that excessive exchange rate volatility will prohibit widespread usage of virtual currency.
80 citations
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TL;DR: Attitudes and subjective norms of adolescent males and females toward breastfeeding are described to determine whether these are related to gender, age, secondary education level, mother tongue, country of origin, feeding method as an infant,feeding method of siblings, and exposure to breastfeeding.
Abstract: There is a lack of information regarding the attitudes of Quebec's adolescents about breastfeeding and how others influence their opinions. The present study aims to describe attitudes and subjective norms of adolescent males and females toward breastfeeding and to determine whether these are related to gender, age, secondary education level, mother tongue, country of origin, feeding method as an infant, feeding method of siblings, and exposure to breastfeeding. Adolescents (N = 439) answered a questionnaire based on the theory of reasoned action. Both genders showed an overall positive attitude but negative subjective norms toward breastfeeding. Gender differences and relationships with external variables in terms of attitudes as well as subjective norms are presented. Possible avenues to promote breastfeeding are discussed.
80 citations
Authors
Showing all 802 results
Name | H-index | Papers | Citations |
---|---|---|---|
Kingston H. G. Mills | 92 | 313 | 29630 |
David W. Schindler | 85 | 217 | 39792 |
Martha C. Anderson | 70 | 340 | 20288 |
Hui Li | 62 | 246 | 14395 |
Lei Zhang | 58 | 146 | 21872 |
Michael J. Vanni | 55 | 124 | 11714 |
Cars Hommes | 54 | 250 | 14984 |
Richard E. Caves | 53 | 115 | 24552 |
John W. M. Rudd | 51 | 70 | 9446 |
Karen A. Kidd | 47 | 163 | 10255 |
Kenneth O. Hill | 43 | 126 | 8842 |
Steven H. Ferguson | 43 | 225 | 6797 |
Derwyn C. Johnson | 41 | 103 | 8208 |
Kevin E. Percy | 40 | 91 | 5167 |
Guy Ampleman | 40 | 128 | 4706 |