It is the determiner of most in your life, and its utmost importance cannot be overemphasized. From your college major to the type of employment, to achieving your goals, choosing your career is paramount.When choosing a career, most people only think about the money aspect and forget about other aspects that need to be considered. Some pick a career because of their family persuasions and pressure whereas, others due to reasons such as the respect and monetary value associated with it. Career is long term, and your interest and passion towards it are very important. Countless times, you have witnessed categories of people hopping from one job to the other, whereas others who are already in the working sector not happy or motivated in their job. While many of you have been wondering how to make one`s way to a good career, I happen to know the secret to getting the right one. Here are the top tips on how to choose a career:Analyze yourself to determine your strengths and weaknessesSelf-analysis is one of the most important steps before embarking on any career choice. Create a list of what are your strengths and what are your weaknesses or potential weaknesses. This will be your guide. Find a peaceful place away from the persuasions and pressure, clear your head, and be true to yourself. Note everything down and think of ways of improving your strengths and ways of converting your weaknesses into strengths.Identify the goals that can be achieved within the shortest term and the goals which may not be able to be achieved within that time frame. Clear your path from anything that might deter you from achieving your dream and walk towards a path that will help you succeed. For example, if you want to convert your weaknesses into strengths, you may decide to get a tutor to help you in your weak subjects.Do a thorough search to narrow down your choicesAfter noting down your strengths and weaknesses, your path to choosing the ideal choice becomes much easier. Search the internet, basing yourself on your strengths and weaknesses, talk to a professional who knows more about your choice. If need be, watch Youtube career videos to guide you on your choices or download a career guide book. These simple things will surely help you towards reaching your goals.Countercheck your chosen choice with your academic qualificationsSometimes, it happens that your choice does not match with your academic qualifications. Let’s say you want to be a doctor, but it so happens that you barely passed the required subjects needed to study medicine. The path you want might not be what you are qualified for. Go back to your list, mark the options which match your academic qualifications, or explore a different path. If you barely reached the minimum qualifications, and you still feel that there is a way out, talk to a professional who will guide you regarding the chosen options.Countercheck your choice with your skillsCertain professions need certain skills. Some people might not have academic qualifications, but they have the skills for it. For instance, you are a good painter or are good at drawing or dancing. You lack the academic qualifications but still want to pursue your dream, do not fret about getting a professional who will act as your guide and recommend you based on your skills.Check the unemployment ratesSome careers are flooding the markets with high rates of unemployment. You might want to pick a certain choice due to the temptations from the many benefits it has to offers, but first, check the statistics for unemployment to determine the path you will take. Choose an option that you will guarantee your job security. Choosing a career that you can make something out of it will help you in the long run. It isn’t easy to find a job nowadays. You need to get the right one to survive in this harsh world.Choose what ticks all your boxesAfter analyzing all the above, pick that which ticks your boxes and submit your choice. The path to picking the ideal profession sure is hard, but with these simple steps, you will be able to pick the ideal path in no time.
People suffering from mental health illnesses must be treated equally and with respect in order to ensure and sustain the foundations of a fair and just society. Mental illnesses include a variety of forms such as schizophrenia, depression, anxiety disorders, as well as other personality disorders. Some mental health disorders generally occur during old age, such as Dementia, while other illnesses that are commonly found in young people include eating disorders. Although no single cause for the occurrence of such disorders has yet been identified, the consequences of the same are disastrous for the people suffering from it as well as those around them, hence the society must ensure that such patients are provided due care and treated equally.According to Gask (2009), mental health disorder is one of the most common reasons for seeking primary care in the UK. Studies conducted to study the issue of the prevalence of mental health illnesses among individuals in the UK it was observed that GPs spend approximately 30% of their time in treating patients with mental disorders. Mental health problems are found across all sections of society, regardless of age, gender, country, or race. Some of the most common mental health problems prevalent in the UK are mixed anxiety and depression.According to The Office for National Statistics Psychiatry Morbidity report (2001), approximately 9% of people in Britain suffer from mixed anxiety and depression. The report further states that about 8-12% of the population is diagnosed with depression each year, and approximately half of the people suffering from common mental health issues belong to poor economic backgrounds. Most of these people suffering from mental illnesses are highly likely to be unemployed, as compared to the general population (Singleton, Lewis, 2003).
Furthermore, Sutherland defined ‘white-collar crime as a crime committed by a person of espectability and high social status in the course of his occupation.’ Finally, the relationship of these to gender and their importance in the examination of statistics is investigated before concluding.In 1981, the British Crime Survey (BCS) estimated around 11 million crimes in England and Wales. But there were only less than 3 million crimes recorded by the police. The gap between the estimated and the actual number recorded by the police is called the “dark figure” of crime. The common reasons given for not reporting crimes are that the incidents involved no loss or are too trivial, and believed that there was nothing the police can do. According to authors Hough and Mayhew, ‘for those categories for which comparison was possible, the survey indicated a considerably greater number of incidents than did Criminal Statistics. Only for one category – thefts of motor vehicles – were the figures similar. For example, the survey indicated twice as many burglaries as were recorded by the police.’BCS is a victimization survey that measures the amount of crime in England and Wales by asking people about crimes they have experienced in the previous year. Aside from the BCS, the police also have recorded crime figures that provide a measure of crime in England and Wales. ‘For the crime types, it covers, the BCS provides a better reflection of the true extent of crime because it includes crimes that are not reported to the police. The BCS count also gives a better indication of trends in crime over time because it is unaffected by changes in levels of public reporting and police recording’ (Jansson 1982). The first victimization surveys were done in the 60s and 70s and were designed to examine the crimes that were not reported to or recorded by the police or what we call, the “dark figure” of crime. Over time BCS has upgraded its methods and system.
In the current study firstly, the Augmented Dicky Fuller (ADF) test is used for finding the order of integration between the two data series. Secondly, the Johansen maximum likelihood estimates are used for testing co-integration. Thirdly, the standard Granger-type test is adapted by using lag residual of the co-integrating regression model. Lag length for Granger causality test is determined by minimizing the Akaike’s Final Prediction Error (FPE). The data used in this study comprise annual secondary data of GDP and Exports values in Portugal between 1835 to1985 time period. The base year has been selected since 1914 for calculating the real prices.Statistical estimates of ADF test showed that log GDP and log Exports are 1(1) while the first difference of the level variables is 1(0). The trace statistics of the Johansen maximum likelihood is used to conclude that real GDP and real Exports values of Portugal are co-integrated and causally related. Four lags of the dependent variable are used in this model. Based on FPE criteria Granger causality test structure is determined as m=3, n=2, q=3, and r=4. Accordingly, the Wald test statistics of the Granger causality test rejected the null hypothesis in favor of reverse causality. Thus economic growth has caused export growth in Portugal during 1835 to1985 time period.The first section of the paper describes the concept of autocorrelation in relation to conventional research studies of applied economics. Autocorrelation or serial correlation is a common condition found in time series data. In OLS estimation residual is assumed to be independently distributed and does not contain any long run correlations. Thus in the presence of autocorrelation OLS estimates are not associated with minimum variance. Nevertheless, autocorrelation is not considered as a fatal statistical issue in econometrics analyses.
It is widely known that in the labor force of the United States, women are compensated less than men. According to the report of the Bureau of Labor Statistics (BLS) in 1997, full-time working white women had weekly salaries equal to roughly 75% of white men’s weekly salaries (Keaveny Inderrieden, 2000). The gender disparity in salary has shrunk slightly during the recent decades. In spite of this trend of lower salaries among women, investigations of salary satisfaction have discovered that women are not less discontented with their salary than men. In line with this report, when salary grade has been regulated, women have disclosed greater salary satisfaction than men (Figart, 2000). Because it is believed that salary satisfaction rests on whether salary received is equivalent to salary expected, it means that if women have lesser salary expectations, women are contented with lesser salary. Major and Konar (1984 as cited in Keaveny Inderrieden, 2000) studied probable roots of gender disparities in salary expectations undergraduate and graduate students. Similar to previous empirical findings, women had lower salary expectations. The suggested explanations for these disparities in salary expectations were that females might be different from men in job value, comparison criteria, job inputs, and career directions. In relation to career direction, women and men may choose dissimilar areas of interest in school and may pursue dissimilar industrial areas and jobs (Gasser, Oliver, Tan, 1998). Milkovich and Newman (1996 as cited in Keaveny Inderrieden, 2000) claim that men are more probable to pursue high-paying jobs and industries. Job inputs as a predictor of pay equity have been taken into account mostly from the point of view of equity theory. Although equity theory premises put emphasis on comparing a proportion of a person’s inputs and outputs to a related other, Jacques (1961 as cited in Keaveny Inderrieden, 2000) claims that workers may develop salary expectations founded on job features only, and discount what other workers are performing. The empirical reports are varied. Hills (1980 as cited in Keaveny Inderrieden, 2000) located no substantiation for the notion that people draw upon an internal, self-assessment to identify salary equity. Nevertheless, Berkowitz and colleagues (1987 as cited in Keaveny Inderrieden, 2000) discovered that the satisfaction of respondents with their salaries was linked to what they believed they are ought to receive, irrespective of what other workers were paid. Major and Konar (1984 as cited in Keaveny Inderrieden, 2000), in line with this argument, propose that gender disparities in job inputs may clarify portion of the gender disparities in salary expectations. Females may have lesser job inputs and hence feel they really ought to be paid less. Adam Smith, more than two centuries ago, proposed that employees take into consideration the entirety of the disadvantages and advantages of various occupations in making choices about employment, and that a person is pulled towards those prospects that offer the highest total benefit (Gibelman, 2003). Smith stated that employers regulate salaries to correct the weaknesses and drawbacks of particular forms of employment. If an occupation is dangerous, for instance, higher salary is needed to attain a specific salary satisfaction level than when an occupation is
Since health services’ planning involves projecting data into the future, the data presented below is based on the assumption that the current trends would continue. Therefore service planners need to take into account external factors that can significantly change the projections.Population projections and other ABS data related calculations for the states have been made using Australian Bureau of Statistics (Series B) projections since it largely reflects the current trends in fertility and life expectancy at birth. In this paper, the states of Queensland and NSW will be referred to as North Cook and South Cook respectively.Some of the data presented in this paper is only an approximation and may not be accurate because data from two sources may have been combined. Secondly there are differences in the way data is reported by NSW and Queensland.Cook state is located on the eastern side of Australia and comprises of the states previously known as NSW and Queensland. The mainland area of Cook state is about 2,524,564 square kilometres with an additional 6,726 square kilometres in islands.1 Therefore Cook state has a total area of 2,531,290 square kilometres (Figure 1).Australia is estimated to have a population of 22,569,765, while Cook state is estimated to have a population of 11,862,769.2 Therefore Cook state accounts for almost 52.6% of the country’s population.The population of Cook is a growing population with 76% of the population within the 15- 64 years age group and a median age of 37 years (Table 1 Graph 2). Currently, there are 100 women for every 99 men in the state.The population density of North Cook is approximately 2.6 people per sq km while that of South Cook is approximately 8.9 people per square km.3 The population density is low across most of the regions within Cook state and has been found to gradually increase to as high as 340 people per sq km in Brisbane and 370 people per sq km in Sydney (Figure 2 3).
Various studies have been conducted to formulate that about 45% of the US population is known to have one or more chronic illness and this illness account for 78% of all health care spending. (Managing Care for Adults with Chronic Conditions, 2002, par. 2) The percentage alone divulges relevant information on the sheer number of possible clients needing patient care. Patients with chronic illnesses such as arthritis, hypertension, diabetes, among others, have actual and potential learning needs. Chronic disorders can impair mobility and therefore “interfere with learning psychomotor skills as a result of decreased flexibility and dexterity of the fingers”. (Delaune Ladner, 2006, 424) Other chronic illnesses such as diabetes require continuing education and monitoring of their health situation and their ability to take care of themselves. Diabetes required regular monitoring of levels of blood sugar which is affected by the nature of the patient’s diet and physical activity. Further, as averred by Daniels, Nosek Nicoll (2007, 1833), “diabetes mellitus and hypertension are the two most common causes of Chronic Renal Failure (CRF) in the United States” ultimately leading to Renal Replacement Therapy (RRT).Statistics on the number of end-stage renal patients have been seen to be on the increasing trend since 1996 with patients on dialysis showing a similar trend. (MEDPAC, 2009, 1) This essay is hereby written to discuss the impact of the concept of demand and supply on resorting to dialysis, as an end-stage renal service and mainstay of RRT.The article was written by Infiniti Research Limited (2010, 1) proffer that “end-stage renal disease (ESRD) is an irreversible loss of kidney function, which requires treatment with dialysis or transplantation.” The treatment, through dialysis, includes artificial means for the removal of toxins and excess fluids from the bloodstream. The numbers of patients with end-stage renal disorders have been increasing due to factors such asdietary habits of people in general.
As such, this handout focuses on the major aspects that define bank accounts and their correlation with entrepreneurs.The distribution of income accounts is primarily evident in two facets thus entrepreneurial income account and allocation of other significant income. Their function is to control income, which may be useful for market producers (Tom Jerome 2011). The entrepreneurial income statement for corporations, quasi-corporations, or institutional units owning an incorporated enterprise engaged in market output is defined as their operating surplus income, plus the asset’s income receivable on the financial enterprises or other fixed and current assets owned by the enterprises. This is minus the interest payable on the tangible fixed assets leased by the enterprise (Tom Jerome 2011).Centrally prearranged economies collapse because they deny people the freedom to obtain information. This information is crucial to transforming, starting trades, buying, and vending. Replacing the nature of political establishments for the market choices of individual producers and customers to ensure economic choices constructed are in a statistical vacuum. An industrious economy needs to use statistics dispersed throughout the population. This cannot take place unless an individual is free to network in the marketplace with the others. Destroying freedom and information channels necessary for sound financial conclusions ought to be shunned.The link between freedom and markets runs are contradictory. The freedom depends on the proper functioning outlets for products. furthermore, properly working markets rely on freedom. The market prevents independence by establishing an environment where it can be controlled (Tom Jerome 2011). Open accountability without responsive control accountability is licensed thus surviving for a lengthy period. The right or privilege that is wanted takes into consideration the concerns of others, which incorporate freedom in relation to aspects of the bazaar (Tom Jerome 2011).
This study was conducted under the request of the United States Department of Transport to measure the impact of code-sharing agreements on the market share in the first quarter of 1994, between British Airways/USAir and KLM/North West. SAS Company is one of the leaders in the aviation industry, thanks to the restricting efforts that were brought by Jan Carlzon. Having been in the market for quite some time now, SAS is in the maturity level of the PLC curve and now focuses on the provision of high-quality services to the passengers. SAS also takes pride in having the largest market share of full-fare paying passengers in the airline industry. Company Operating Profits (US $million) 1. American 392 2. Federal Express 365 3. SAS 260 4. Delta 225 5. Cathy Pacific 206 6. Swiss air 200 7. Northwest 167 8. USAir 164 9. continental 143 10. KLM 131 Comparison of Major World Airlines, Statistics 1986: (Air Transport World, 1987). Currently, the firm has established itself as the third most profitable airline firm in terms of operating profits. By 1986, SAS made a total of Skr 1.5 billion in operating profits. To achieve efficiency, SAS has applied various efforts both internally and externally. Some of the internal methods have involved a major restructuring of the company, while external methods have involved activities such refurbishment of airline and airports and the introduction of new services. Introduction of differentiated services, for example,SAS international hotel that provides full-paying passengers with facilities such as tickets, transport, and hotel packages has strategically positioned the company in the market. Other milestones have involved the introduction of the “euro class”. The external and internal and internal capabilities of the firm are the two factors that determine the strategies, which a firm takes to compete effectively in the external business environment. Despite operating in the same environment, different firms bear different internal and external capabilities that often determine the profits or losses that they make. It is for this reason that the profitability of a firm is determined by the industrial structure within which the firm competes, and how best it establishes it’s self in it (Porter 1980, p. 65). On the flip side, the proponents of the resource-based school offer that the profitability of the firm is determined by the unique variety of resources and capabilities of the firm (Collis Montgomery, 1995, p. 118). Kay (1993, p. 103) offers that to have a competitive advantage, a firm must differentiate its product and services from those of the competitors, through the introduction of distinctive features. This was the case of SAS in the replacement of the small 40-passenger airlines with the 110-passenger DC-9S aircraft which had the double capacity. To attract more passengers, SAS maintained the low costs and frequency which were synonymous with the 40-passenger airlines. Differentiation of business travelers through the introduction of the “Scanoroma” lounges in SAS affiliated airports was also one of the ways of establishing distinctive resource capabilities. Organization architecture is also the other factor that determines the profits and losses that a firm may incur.
Without any doubt, the United Kingdom is one of the most influential economies on this planet today. According to the official statistics, the United Kingdom has the sixth rank in the list of economies placed according to their nominal GDP. Moreover, the United Kingdom is the fourth country when ranked according to Gross National Income. The United Kingdom holds the title of the first country that moved towards mass level industrialization as early as in the 16th century, and it still has its say in the world economic play being the member of G-8, G-7, G-20, European Union, OECD and WTO. The United Kingdom’s economic gurus understand the fact that their supremacy in the world economy due to their three major sector which contributes heavily to the GDP of the country, services, industry, and agriculture mainly.The industry contributes almost 18 percent to the GDP and more importantly, a significant 5 percent out of this 18 percent share comes from the construction sector of the United Kingdom. In other words, the construction sector of the United Kingdom contributes around 28 percent to the UK industry. Recent statistics reveal that it makes a significant 9.2 percent of the nation’s Gross Value Added (GVA). Moreover, there are more than 250,000 firms in the construction sector employing millions of people (Organisation for Economic Co-operation and Development, pp. 159-163, 2002). However, the recent recession has hit the industry very hard as it has hit the other sector too. Moreover, news from December 2009 suggests that this industry has contracted for consecutive 21 months. However, the rate of declining has been the lowest and is steadily decreasing (Murchie, 2009). It indicates a couple of things. Firstly, that the construction is one of the few sectors that have witnessed the least damage by recession and the sector is on its road to recovery. The paper would now move forward by discussing the major types of organizations amongst these more than 250,000 in the important construction sector of the United Kingdom.