Free Essays on Euro-monetary Transition

The Eurosystem Monetary Transmission Network This issue of the ECB Working Paper Series contains research presented at a conference on â€Å"Monetary Policy Transmission in the Euro Area† held at the European Central Bank on 18 and 19 December 2001. This research was conducted within the Monetary Transmission Network, a group of economists affiliated with the ECB and the National Central Banks of the Eurosystem chaired by Ignazio Angeloni. Anil Kashyap (University of Chicago) acted as external consultant and Benoà ®t Mojon as secretary to the Network. The papers presented at the conference examine the euro area monetary transmission process using different data and methodologies: structural and VAR macro-models for the euro area and the national economies, panel micro data analyses of the investment behaviour of non-financial firms and panel micro data analyses of the behaviour of commercial banks. Contents Abstract 4 Non-technical summary 5 1. Introduction 7 II. A Brief account of some Luxembourg peculiarities 9 III. Theoretical aspects 11 IV. Data, variables and estimation methodology 12 V. Empirical results 21 VI. Concluding remarks 26 VII. References 27 VIII. Appendix 29 European Central Bank Working Paper Series 31 Abstract: This paper investigates the transmission of monetary policy using data from a panel of Luxembourg firms. The results indicate that the sales accelerator may be at work. A very robust result is the negative effect of the user cost of capital on firms’ investment ratio. Changes in user costs are significantly affected by changes in the monetary policy indicator. In addition, firm specific balance sheet characteristics, such as the lagged cash stock to capital ratio influence the investment behaviour according to the broad credit channel theory. Using various sample splits, it is shown that young firms, in particular, are more sensitive to user cost changes, sales growth and ... Free Essays on Euro-monetary Transition Free Essays on Euro-monetary Transition The Eurosystem Monetary Transmission Network This issue of the ECB Working Paper Series contains research presented at a conference on â€Å"Monetary Policy Transmission in the Euro Area† held at the European Central Bank on 18 and 19 December 2001. This research was conducted within the Monetary Transmission Network, a group of economists affiliated with the ECB and the National Central Banks of the Eurosystem chaired by Ignazio Angeloni. Anil Kashyap (University of Chicago) acted as external consultant and Benoà ®t Mojon as secretary to the Network. The papers presented at the conference examine the euro area monetary transmission process using different data and methodologies: structural and VAR macro-models for the euro area and the national economies, panel micro data analyses of the investment behaviour of non-financial firms and panel micro data analyses of the behaviour of commercial banks. Contents Abstract 4 Non-technical summary 5 1. Introduction 7 II. A Brief account of some Luxembourg peculiarities 9 III. Theoretical aspects 11 IV. Data, variables and estimation methodology 12 V. Empirical results 21 VI. Concluding remarks 26 VII. References 27 VIII. Appendix 29 European Central Bank Working Paper Series 31 Abstract: This paper investigates the transmission of monetary policy using data from a panel of Luxembourg firms. The results indicate that the sales accelerator may be at work. A very robust result is the negative effect of the user cost of capital on firms’ investment ratio. Changes in user costs are significantly affected by changes in the monetary policy indicator. In addition, firm specific balance sheet characteristics, such as the lagged cash stock to capital ratio influence the investment behaviour according to the broad credit channel theory. Using various sample splits, it is shown that young firms, in particular, are more sensitive to user cost changes, sales growth and ...

Expository Essay on Depression

Expository Essay on Depression Expository Essay on Depression Even though depression entails one having sad feelings, it is actually a condition that is by far more than merely having some degree of sadness. This is because the magnitude of sadness that one feels when depressed is so intense, it may also be accompanied by numerous other symptoms. There are many types of depression, one of which is referred to as the major depressive disorder in clinical terms. This type of depression is serious because the individual is depressed for a large portion of a day, year-round. The symptoms for this depression include loss of interest in favorite activities and an unexplained gain or loss in weight. Insomnia, difficulty i falling asleep, is also one of the many symptoms. An individual who has a major depression is also more likely to feel like he or she is dissatisfied with all that life has to offer. The other symptoms of this condition include feeling very tired the entire day, even without having done any work, experiencing trouble when concentrating and in one trying to make decisions. Doctors usually diagnose this depression if a patient has suffered five or more symptoms, if the patient has been experiencing the aforementioned symptoms for a period of two or more weeks, and if one of the symptoms is the loss of interest in activities that the patient once found very interesting. Major depression can be treated with a mixture of therapy and medication or the taking of antidepressants. When these two methods of treatment do not work, some of the other treatment options that may be suggested by physicians include those of repetitive trans-cranial magnetic stimulation and electro-convulsive therapy. These methods work by using magnetic fields to stimulate certain parts of the brain in order to help an individual to work better or even have better control of their moods. The other major type of depression is the persistent depressive disorder which is a type of depression that can last for at least two years. This type of depression has numerous symptoms which include a drastic change in one’s appetite where one eats too much food or not enough. This type of disorder also greatly affects an individual’s sleep patterns, either causing the patient to sleep too much or too little. An individual suffering from persistent depression also tends to be fatigued for most of the day and generally feel like he or she lacks energy to perform even the simplest of tasks. This lack of energy, in turn, causes the individual to experience low self-esteem and to generally develop a feeling of hopelessness. As we can see, depression is a serious condition that requires medical attention. If any of the symptoms occur, it is essential to consult a specialist to prevent a big issue. Our custom essay writing service can easily write your expository essay on depression from scratch. Just visit our companys website now!

Justifying an evaluation Essay Example | Topics and Well Written Essays - 1000 words

Justifying an evaluation - Essay Example Griffith’s work in the film is fascinating both in the adverse and affirmative dimensions. The characterization features from different angles. For instance, the general scene development of the film is very accurate and authentic with reference to the music played, archives featuring and the natural landscapes that existed in the times of civil wars. The major theme of culture and racial prejudice forms part of the epic story of the film. Initially, what fascinates me about the film is the general presentation of reality with regards to the society. Some of these preside the film with defined warnings regarding the heuristic nature of war amongst different races. For instance, the film tends to seek clarity and relevance from the Biblical directives and Shakespeare works. Most of the scenes of the film disentangle the inappropriate trends of life and give way to light where darkness features most. The issue here is about virtues. It is thrilling to find a film that tries to establish the necessity of liberty. The â€Å"birth of a nation film† is a good pace setter. The first impressive instance about the film is that it takes a representation of the superior culture and the slave’s cultures. The actual history in America is that the whites dominate the northern region, and the African Americans dominate the south. The first part of the film features the introduction of the Africans into the American territory. The underside of disunity in the territory remains well established in the film. The film does not complicate the entire situation of hatred amongst the Africans cultural backgrounds and the American cultures. The film features two distinct families from the Cameroonian and American backgrounds. The film also features intensive political trends where some sides of the national house support intense need for the demolition of civil wars. Others support the need for safety and respect for the African culture thus

Orion Nebula Research Paper Example | Topics and Well Written Essays - 750 words

Orion Nebula - Research Paper Example It was the first nebula to be photographed (1880), by Henry Draper in the United States† (Encyclop?dia Britannica, 2013). Orion is amongst the simplest to be found patters of star in the sky on the evenings of the winter season. The feature that defines Orion is a three stars’ row that constitutes Orion’s belt. The bright reddish star called as Betelgeuse is located above the belt. The bluish star called as Rigel exists just underneath the belt. A dimmer stars’ sword hangs straight from this belt. The ancient astronomers were impressed to observe a splotch of blood upon the stars’ sword, that can be seen with the naked eye in the dark; that is Orion Nebula. Although Orion Nebula can be seen with the naked eye, it was not until 1610 that its actual nebulous nature was identified. â€Å"As a vast and active star-forming region of bright dust and gas located a mere 1,500 light-years distant, the various stars within the Orion Nebula Cluster (ONC) has g iven astronomers invaluable benchmarks for research on many aspects of star formation† (Major, 2012). Orion Nebula appears as a web of dark dust and glowing gas when observed with the help of a large telescope or when its processed images are seen. â€Å"As a region of gas and dust coalesced under its combined gravity, stars began to burst into life and lit up the rest of the cloud resulting in the bright and colourful swirls of gas and dust that you can easily see through binoculars and telescopes† (Active Astronomy, n.d.). Inside the Orion Nebula forms the adolescent stars’ energy. Trapezium is the conglomerate of four bright stars that exist in its center. Observations made with the help of telescope have led to the conclusion that 11 stars exist inside the central group whereas the number of immediately neighboring stars is more than 2000 (Fraknoi, 2007). These surrounding stars are very small in age; their age is less than one million years which is why they can be considered as babies according to the astronomical standards. Nebula gains its glow from the energy provided by one of the stars, that is known as Theta-1C Orionis. Theta-IC Orionis can make up to 40 stars like Sun. The glow it contains is equal to the brightness of 210,000 Suns. The width of nebula is around 30 light years. A certain number of infant stars can be seen throughout the nebula. Disks of darker material surround the infant stars. These disks make a planet system that is similar to the system of planets that surrounds the Sun. â€Å"Observations with the Hubble Space Telescope have revealed over 150 such "getting-ready-to-make-planets" disks, an indication that the birth of stars is frequently accompanied by the birth of planets† (Fraknoi, 2007). The Orion Nebula entirely extends over the sky’s one degree region. It consists of numerous associations of stars, neutral clouds of dust and gas, reflection nebulae, and ionized gas volumes. Orion Nebula i s a constituent of a larger nebula called as the Orion Molecular Cloud Complex that includes Barnard’s Loop, Flame Nebula, M43, Horsehead Nebula, and M78 and extends all across Orion’s constellation. The heat-intensive process of star formation inside the Orion Nebula makes it prominent in the infrared. The roughly spherical cloud formed by the nebula that reaches its peak in the density close to the core. The temperature of the cloud ranges up to 10,000 K that

Importance of Human Interaction in William Faulkners A Rose for Emily

Importance of Human Interaction in William Faulkner's A Rose for Emily Are human beings responsible for the well being of others that they come into contact with? William Faulkner's story "A Rose for Emily" considers the significance that human interaction has or does not have on people's lives. Faulkner creatively uses a shocking ending to cause readers to reevaluate their own interactions with others in their lives. Throughout the story, Faulkner uses characters that may relate to the readers more than they want to admit. Homer Barron, the construction worker from the North, and the residents of Jefferson are used to expose the opportunities, although different, they are afforded to affect the life of Emily Grierson, who is the town's recluse. Faulkner offers Homer and the townspeople opportunities to affect Emily's life, and the story tells how these humans react to Emily and her situation. Ultimately, Homer and the townspeople choose not to intervene, and thus the devastation of Emily's life is inevitable. First, before human interaction can occur, an emotional response has to be provoked. Faulkner uses human curiosity to provide the opportunities that Homer and the residents of Jefferson will have to affect Emily's life. At one time, all people would have wanted to be included in the same social class to which Emily and her father belonged. Just as in Faulkner's own life, the Civil War changed life in the South forever. Emily is now a misplaced icon as industry has taken over her street, and the once-beautiful house is decaying and oddly out of place among the garages and the machines. Faulkner refers to Emily's house as "an eyesore among eyesores." Like her house, Emily has fallen out of grace, and the townspeople ... ...d leaning forward, that faint and invisible dust dry and acrid in the nostrils, we saw a long strand of iron-gray hair." So desperate for human contact, Emily has been sleeping next to a dead man's body. No one in the whole town had the slightest human insight to see this lady's predicament of needing human contact. Faulkner could be drawing attention to the proximity of a desperate person in the reader's life and could be questioning whether or not the reader will react once he acknowledges the need. The world needs more human interactions that overcome fear, hatred, and death. If curiosity evokes action and if this action produces guidance, not necessarily conformity, then human beings truly can have a significant effect on others' lives. Works Cited: Faulkner, William. "A Rose for Emily." Collected Stories of William Faulkner. New York: Random House, 1950.

Healthcare Industry

The global healthcare industry is expected to grow at a CAGR of 24.7%. This is made possible by the leveraging of various analytics tools and practices by the healthcare providers for improving their operational efficiency. Source: http://www.thehealthcareanalytics.comUnited States is at the front of the growth, accounting for 65.84% which can be attributed to country's substantial investment in healthcare. Europe and Asia are on a path of steady growth with increased expenditure on technology, R;D and the emergence of Big Data. Source: http://www.thehealthcareanalytics.comThe volume of data available is expected to be increasing at an exponential rate in the years ahead. Current cumbersome techniques of evaluation will soon have to pave the way for advanced analytics. These techniques, which have the ability to process, act on, manage and distribute data from variety of sources, will become the backbone of the healthcare sector. With this evaluation, the vast health data will be better understood and more effective, real time, specific decisions can be taken. Source: http://www.techferry.com Current SituationBefore discussing about the future, it is important to reflect upon the current scenario. After the introduction of Electronic Health Records (EHR), amount of data collected have gone up significantly, creating meta data that can be used for querying. Healthcare organizations have resorted to analytical tools to improve the efficiency of patient examination. With a wide range of information about patient's history, genetics and demographics, more customized quality care could be provided. More and more venture capitalists have started investing into healthcare analytics. However, healthcare organizations are a long way from making effective use of such information. Proper understanding about the vast applications of such a resource is still scarce. Differentiating between quality data and noise has been becoming more and more difficult. High cost of analytic solutions and lack of skilled professionals have been a pain point in many organizations. Leveraging bigdata analytics in healthcarePatient profile analytics: Analytics can be applied to the existing patient profiles to identify those who may need preventive care. Patients who are at a risk of developing a disease like diabetes can be helped with lifestyle changes and preventive care.Public health: By analysing the large amount of data available, disease patterns can be identified and outbreaks can be predicted by finding various correlations among the data points.Resource management: With the development of location tracking technologies like RFIDs, patients, staffs, instruments and other resources in the enterprise can be effectively tracked and managed on a real time basis.Fraud analysis: Hospitals on a daily basis receives large number of insurance claims. With the help of big data analytics, valid claims can be segregated out reducing wastage of time and resources.Genomic Analytics: Genes of an individual and high-powered computing are combined to produce personalize d treatments for each patient. Genetic disorders can be identified and target therapies can be developed.Real-Time health care: Various mobile applications are being developed that help individuals to manage their care in a personalized manner. Wearables are being developed that can effectively track the safety and monitor the conditions in real-time by analysing the large volumes of fast moving data.R & D: Predictive modelling and statistical methods can be used to improve clinical trials and finding the follow-on indications. Trial failures can be reduced and new product development can be given the push it demands.Concerns and mitigation strategiesData Integrity: The data in many situations comes from places with questionable data governance standards. Obtaining data that meets with the standards required for accurate use is one of the major ongoing battles in organizations. Lack of understanding of the usage of EHR (Electronic Healthcare Records) and importance of capturing qual ity data further adds to the lack of data quality.Future: Improvements in data capture by prioritizing valuable data types and educating clinicians about how to ensure that data is useful for downstream analytics are some of the ways forward.Filtering: Presence of inaccurate unwanted data (noise) can derail the effectiveness of the analytics system. The data, which comes from disparate data sources in multiple formats, unless acted upon properly will lead to inconsistency. Though Data cleaning, process of ensuring the datasets are consistent, accurate and relevant, are being done, most organizations still use inefficient manual methods. Future: IT vendors are now coming up with applications which use machine learning that use rules to filter and segregate data, which will make the process effective and affordableStorage: With the latest developments in technology, amount of data being generated and captured is increasing at an alarming rate. Even though most enterprises currently pr efer on premise data storage which has the advantage of having better control on security and access, it has become difficult to modify, scale and adapt to situations.Future: Many organizations are slowly shifting to cloud storage and various hybrid approaches to store their data. This provides a highly scalable, cost effective solution which provides ease of access.Security: With the recent episodes of high profile hackings, security breaches, ransomwares etc security has become a huge concern in this technological era.From a small action like leaving the laptop unsecured to highly sophisticated hacking, data is not safe in spite of many initiatives being taken.Future: Employees are being educated in transmission security, authentication protocols, and controls over access, integrity, and auditing. Procedures such as using latest anti-virus software, setting up firewalls, encrypting sensitive data, and using multi-factor authentication are some of the ways to prevent security attac ks. As we move forward in 2018, organizations will have to analyse much more complex and high-volume data. With the development of customized, highly efficient data analytics practices, organizations can make sense of the data and use it for providing efficient personalized care. Data integrity is bound to become the most important factor as effectiveness of data analytical methods are dependent on incorporation of error free, relevant data from quality sources.References1. http://www.thehealthcareanalytics.com 2. Healthcare Industry The global healthcare industry is expected to grow at a CAGR of 24.7%. This is made possible by the leveraging of various analytics tools and practices by the healthcare providers for improving their operational efficiency. Source: http://www.thehealthcareanalytics.comUnited States is at the front of the growth, accounting for 65.84% which can be attributed to country's substantial investment in healthcare. Europe and Asia are on a path of steady growth with increased expenditure on technology, R;D and the emergence of Big Data. Source: http://www.thehealthcareanalytics.comThe volume of data available is expected to be increasing at an exponential rate in the years ahead. Current cumbersome techniques of evaluation will soon have to pave the way for advanced analytics. These techniques, which have the ability to process, act on, manage and distribute data from variety of sources, will become the backbone of the healthcare sector. With this evaluation, the vast health data will be better understood and more effective, real time, specific decisions can be taken. Source: http://www.techferry.com Current SituationBefore discussing about the future, it is important to reflect upon the current scenario. After the introduction of Electronic Health Records (EHR), amount of data collected have gone up significantly, creating meta data that can be used for querying. Healthcare organizations have resorted to analytical tools to improve the efficiency of patient examination. With a wide range of information about patient's history, genetics and demographics, more customized quality care could be provided. More and more venture capitalists have started investing into healthcare analytics. However, healthcare organizations are a long way from making effective use of such information. Proper understanding about the vast applications of such a resource is still scarce. Differentiating between quality data and noise has been becoming more and more difficult. High cost of analytic solutions and lack of skilled professionals have been a pain point in many organizations. Leveraging bigdata analytics in healthcarePatient profile analytics: Analytics can be applied to the existing patient profiles to identify those who may need preventive care. Patients who are at a risk of developing a disease like diabetes can be helped with lifestyle changes and preventive care.Public health: By analysing the large amount of data available, disease patterns can be identified and outbreaks can be predicted by finding various correlations among the data points.Resource management: With the development of location tracking technologies like RFIDs, patients, staffs, instruments and other resources in the enterprise can be effectively tracked and managed on a real time basis.Fraud analysis: Hospitals on a daily basis receives large number of insurance claims. With the help of big data analytics, valid claims can be segregated out reducing wastage of time and resources.Genomic Analytics: Genes of an individual and high-powered computing are combined to produce personalize d treatments for each patient. Genetic disorders can be identified and target therapies can be developed.Real-Time health care: Various mobile applications are being developed that help individuals to manage their care in a personalized manner. Wearables are being developed that can effectively track the safety and monitor the conditions in real-time by analysing the large volumes of fast moving data.R & D: Predictive modelling and statistical methods can be used to improve clinical trials and finding the follow-on indications. Trial failures can be reduced and new product development can be given the push it demands.Concerns and mitigation strategiesData Integrity: The data in many situations comes from places with questionable data governance standards. Obtaining data that meets with the standards required for accurate use is one of the major ongoing battles in organizations. Lack of understanding of the usage of EHR (Electronic Healthcare Records) and importance of capturing qual ity data further adds to the lack of data quality.Future: Improvements in data capture by prioritizing valuable data types and educating clinicians about how to ensure that data is useful for downstream analytics are some of the ways forward.Filtering: Presence of inaccurate unwanted data (noise) can derail the effectiveness of the analytics system. The data, which comes from disparate data sources in multiple formats, unless acted upon properly will lead to inconsistency. Though Data cleaning, process of ensuring the datasets are consistent, accurate and relevant, are being done, most organizations still use inefficient manual methods. Future: IT vendors are now coming up with applications which use machine learning that use rules to filter and segregate data, which will make the process effective and affordableStorage: With the latest developments in technology, amount of data being generated and captured is increasing at an alarming rate. Even though most enterprises currently pr efer on premise data storage which has the advantage of having better control on security and access, it has become difficult to modify, scale and adapt to situations.Future: Many organizations are slowly shifting to cloud storage and various hybrid approaches to store their data. This provides a highly scalable, cost effective solution which provides ease of access.Security: With the recent episodes of high profile hackings, security breaches, ransomwares etc security has become a huge concern in this technological era.From a small action like leaving the laptop unsecured to highly sophisticated hacking, data is not safe in spite of many initiatives being taken.Future: Employees are being educated in transmission security, authentication protocols, and controls over access, integrity, and auditing. Procedures such as using latest anti-virus software, setting up firewalls, encrypting sensitive data, and using multi-factor authentication are some of the ways to prevent security attac ks. As we move forward in 2018, organizations will have to analyse much more complex and high-volume data. With the development of customized, highly efficient data analytics practices, organizations can make sense of the data and use it for providing efficient personalized care. Data integrity is bound to become the most important factor as effectiveness of data analytical methods are dependent on incorporation of error free, relevant data from quality sources.References1. http://www.thehealthcareanalytics.com 2.

OF MICE AND MEN ESSAY Libre - 2222 Words

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