HR Management Essay Example for Free

HR Management Essay Negligent hiring is the potential liability of an employer for actions of an employee who was selected for employment without adequately determining the person’s qualifications for the job. Negligent retention on the other had refers to the prospective liability an employer faces by retaining employees who it knows (or should know) a re not qualified to perform their jobs tasks or have mental or physical conditions or propensities that result in them being hazardous to themselves or others. Discussion  Employers need to do reasonable investigations on the prospective employees work experience, background, character and qualifications to avoid negligent hiring. The doctrine of hiring and retention provides that an employer have a duty to exercise reasonable care in selection and retention of his employees. The employer should be aware of the employee problems that make him or her unfit should avoid negligent retention. The employer should take further action such as investigating, discharge or reassignment. Employers want to be sure their employees are doing a good job, but employees should not have their every sneeze or trip to the water cooler logged. This is where workplace conflict comes to foreplay. Employees are the greatest assets of any company and an employer should put much care in protecting their privacy. Employees should avoid providing all their information to their employers because such information could be used for identity theft as well as carrying out criminal activities such as fraud cases leaving the employee in financial problems. Employers should also ban use of the new technology such as camera phones, digital cameras etc because offensive pictures of workers in private, embarrassing or intimate situations can be taken and sent to the net. Such technology can be used to conduct industrial espionage. In this cue therefore employers do are not obligated under any law to use devices that can intrude on the employees privacy. The employers under the contract terms reserve the blame if the employee get accident or injured during the working term. Under the labor laws the safety of the employees lies on the employer if the employee gets the injury at the point of work. It is the mandate of the Contracting firm to provide safety and health measures at all costs to the working employees who forms the main component assets in the company. WS4DQ1-Merit pay Merit pay is pay compensation given to employee based on his/her productivity. Its based on the assessment of the employee’s productivity. Hoever merit pay is rarely used as most managers use it as a strategy to motivate those indiduals well known to him or her. Merit pay should be given based on competence in work. Hard working employees need to be rewarded; this should base on achieved measurable targets, units. Merit pay should be included as part of organization package for various reasons. One is that merit pay enhances a vibrant competitive workforce and therefore eliminates laggardness in workplace. WS4DQ3-Kenneth Lay Lay was one of the Americas highest paid CEO in America. He was Presidents Bush Treasury secretary . He dumped large amounts of his Enron stock and encouraging his employees to buy more stock. As the highest paid CEO, lay never contributed much to the Organizations success; rather he greatly contributed to its downfall. Thus, he was not entitled to the handsome package he was receiving, as he got filthily involved in scandals that amounted billions of shillings leading to the collapse of Enron. WS5DQ1 Workplace violence can take a heavy toll on a business in terms of liability, lost revenue and employee productivity. Tangible costs-medical bills, Antony fees, lost wages, security cost, rehabilitation and property damage. Intangible costs include; loss of staffs time, staff replacement, company liability, moral issues that affect productivity levels. Preventing work place violence therefore means the management of the human resource should ensure the safety of work place. Work place violence can be prevented by; being always alert-no work place is safe, understanding what the problem is, developing a violence prevention plan and responding to emergency incidents. Such policies as; violence prevention plan should be put in place, the management should be at fore in been alert on any violence incident, developing a good working environment and cultivating on maintaining good teamwork relations. This is because when there is good relation among the workers, there is low chance of violence. WS5DQ2 Federal Osha does not have jurisdiction over those employed by state, county, city or municipal governments. However, several state plans do cover such public sector employment. State with approved state plans and in accordance with section 27-a of the PESH act, New York adopts and enforce occupational safety and health standards in the public sector which are identical to OSHA’s. For instance public schools must comply with same fire protecting standard as private schools, but the standards are promulgated and enforced by the state. The California department of occupational safety and health differs with the federal OSHA agencies in the sense that, states have option to establish regulations for hazards not covered by federal standards or more stringent standards than those promulgated by OSHA, which California does. California state agencies standards cover more ground and stringent than federal OSHA’s. Mainly, California OSHA agencies differ from federal agencies in such areas as; requirement for injury and illness prevention program (IIPP), hazcom standards, permissible exposure limits (PELs) and Ergonomics. OSHA’s has continuously been involved in voluntary protection programs, which has indicated effective management of safety and health protection improvement in employees moral and productivity. WS6DQ3 The involvement of unions in social policy areas and participation in self-governing bodies of national social insurance scheme has been the role of unions in Germany. With the increased importance of private pensions, trade unions have enhanced their collective bargaining role in this area. Besides unions have seized opportunities to enhance their role in collective regulation of state imposed privatization. Trade unions over the recent years have had their membership dwindling ageing of membership and lacking support among young employees. This is because the top management or leaders in the unions have taken it as their platform to pursue their welfare as opposed to the welfare of the members in the collective bargaining. WSDQ3 The NLRB does not include coverage for all workers. These include individuals who are employed as agricultural laborers, domestic servants, parents or spouse, independent contractor, employed as supervisor, employed by an employer subject to railway labor act, employees by federal state or local government and those employed by any other person who is not an employer as defined by NLRB. These employees do not have right to form unions as other workers since they are not within the NLRB jurisdiction. In one case, NLRAB was unsure how to define ‘supervisor’. Individuals who are supervisors would not be included in the bargaining unit potentially represented by unions or allowed to vote in the elections. The court ruled that this NLRB judgment is unfair. The court said there were no statutory basis for excluding ‘’professional or technical judgment’’ from joining unions. The basis of the argument therefore is that each party in work environment has a stake in forming a labor union.

Mark Twain :: essays research papers

Mark Twain Mark Twain's works are some of the best I've ever read. I love the way he brings you into the story, especially with the dialogue used, like in Tom Sawyer or Huckleberry Finn. Mark Twain is my favorite dead author. Mark Twain was never "Mark Twain" at all. That was only his pen name. His real name was Samuel Langhorne Clemens. Samuel was born in Florida, Missouri in 1835. He accomplished worldwide fame during his lifetime for being a great author, lecturer, satirist, and humorist. Since his death on April 21, 1910, his great literary reputation has further increased. Many writers such as Ernest Hemingway and William Faulkner have declared his work-especially Huckleberry Finn- a major influence on 20th-century American fiction. Twain was raised in Hannibal, Missouri, a town on the Mississippi river. After the death of his father in 1847, Twain joined his brother Orion's newspaper, the Hannibal Journal. During this time he became accustomed with much of the frontier humor of the time. From 1853 to 1857, Twain worked in many cities as a printer, and wrote articles for his brother's newspapers under various nicknames. After a visit to New Orleans, he learned how to pilot a steamboat. That became his job until the Civil War closed the Mississippi River, and it set him up for "Old Times on the Mississippi" and "Life on the Mississippi." In 1861, Twain traveled to Carson City, Nevada, with his brother Orion. After attempts for silver and gold mining had failed, he continued to write for newspapers. It was in 1863 when Samuel Clemens adopted the name "Mark Twain", a riverman's term for "two fathoms" deep. In 1884 Twain went to San Francisco and reached national fame with his story, "The Celebrated Jumping Frog of Calaveras County." He then took a trip to Hawaii which started him on a very successful career as a public speaker. His trips to the Mediterranean and the Holy Land were recorded in letters to a San Francisco newspaper, and later formed into The Innocents Abroad, which was popular all over the world. In 1870 Mark Twain married Olivia Langdon. He then abandoned journalism to focus on serious literature. From 1870-1875, Twain produced many novels, including the famous tale, Tom Sawyer. A European vacation in 1878-1879, inspired novels like The Prince and the Pauper and A Connecticut Yankee in King Arthur's Court. Meanwhile, he established his own firm, Charles L. Webster and Co., and after that, completed his masterpiece, Adventures of Huckleberry Finn, in 1884. In 1891, Twain was forced to move to Europe because of financial problems. In 1894, because of the failure of his firm and other reasons, he had to declare

Econometric Methods Essay

Part A. Multiple choice questions Answer each question by circling one and only one answer. Each question is worth 3 marks (total 30 marks). 1. When estimating a linear probability model using OLS: a. The estimators are biased because errors are necessarily heteroskedastic b. The slope coefficient estimates cannot measure changes in the predicted probability of Y=1 c. The estimators can be asymptotically normally distributed d. All of the above 2. When internal validity is violated: a. OLS coefficients no longer measure the partial correlation between the explanatory variable and the dependent variable b. The population error terms cannot be normally distributed c. The dependent variable necessarily becomes skewed d. None of the above 3. Which of the following dependent variables is least like a limited dependent variable? a. Wages b. Net assets of a household (total assets minus debts) c. Number of visits to the dentist in a year d. An index of happiness where happiness is rated 1 to 10 4. A variable Y is a Bernoulli variable a. Its distribution has the usual 2 independent parameters representing the mean and the variance b. Its expected value equals the ratio of the probability of Y=0 to the probability of Y=1 c. Its variance equals the product of the probability of Y=0 and the probability of Y=1 d. All of the above 5. In the probit model seen in class a. The variance of the error term depends on the vector of explanatory variables b. The variance of the error term is assumed to be 1 c. The variance of the error term does not need to be specified because of the normality assumption d. The variance of the error term can be estimated from the variance of the estimated residual 6. In panel data, the problem of attrition refers to a. The presence of large measurement error in key variables b. The correlation of measurement errors with explanatory variables c. The misclassification of key dummy explanatory variables due to measurement error d. None of the above 7. In the probit model a. The partial effect of a single continuous explanatory variable X on the predicted probability has the same sign as the estimated coefficient on X b. The test statistic constructed by the ratio of the estimated coefficient to its standard error is normally distributed because we are using the normal distribution to model the expected value of the dependent variable c. The partial effects of an explanatory variable are quantitatively close to zero when the standard error of the coefficient on this variable is very large. d. All of the above 8. You have data on a sample of 95 managers working in large firms in Australia. You estimate a logit model of Y= 1 if earning >$500,000 per annum using as explanatory variables: F=1 if the manager is female (0 otherwise); PHD=1 if the manager has a PHD (0 otherwise); an interaction variable FPHD=F*PHD; TEN=tenure with the firm measured in years (a continuous variable). You find the following estimates: Indexi = 0.053 – 0.095 Fi + 0.020 PHDi + 0.007 FPHDi + 0.0015 TENi (0.002) (0.011) (0.009) (0.003) (0.0005) where the standard errors are denoted in parenthesis. You want to test H0: tenure has no effect on the probability of earning >$500,000 per annum versus H1: tenure has a positive effect on the probability of earning >$500,000 per annum. You will use a 5% level of significance to conduct this test. You get an asymptotic t-stat equal to 3.0. Using the tables provided at the end of the exam, choose one of the following as an appropriate critical value to conduct this test: a. 1.662 b. 1.645 c. 1.987 d. 1.960 e. 5.0239 9. Refer to the model and estimates in the previous question. Ceteris paribus, according to these estimates (and ignoring statistical significance): a. Women without PHDs have a higher probability of earning >$500,000 than men without PHDs. b. Men with PHDs have a lower probability of earning >$500,000 than men without PHDs. c. Women with PHDs have higher probability of earning >$500,000 than women without PHDs. d. Women with PHDs have higher probability of earning >$500,000 than men with PHDs. 10. Refer to the model and estimates in the previous question. You want to test that ceteris paribus, men and women have the same probability of earning >$500,000. Under the null, the Wald test statistic is asymptotically chi-squared distributed with a. 1 degree of freedom b. 90 degrees of freedom c. 93 degrees of freedom d. 2 degrees of freedom e. 3 degrees of freedom PART A. Multiple Choice 1. C 2. D 3. B 4. C 5. B 6. D 7. A 8. B 9. C 10. D SOLUTIONS Part B. Problem (Total 30 marks) Equity of access is a primary goal of many health systems. Determining whether Australia’s system (Medicare) meets this goal is an important research question. Consider the case of access to general practitioners (GPs). The probit results presented below in Table 4 are part of an analysis aimed at answering whether there is equitable access to GP services where access is defined on the basis of health needs rather than ability to pay. The data consists of a sample of 3207 single females who were surveyed throughout Australia in 1995. The â€Å"dependent variable† for the study was VISIT, an indicator variable that was equal to one if the women had visited a GP in the last two weeks and zero otherwise. The sample has been divided into two subsets depending on whether the women are less than 40 years old (the â€Å"young† sub-sample) or whether they are greater than 40 years old (the â€Å"old† subsample). Table 4 presents estimation results (variable defini tions follow the table). Young Old Table 4: Probit estimates for visit to GP* Variable Intercept -0.7910 (0.1602) -1.1570 (0.2495) AGE -0.0060 (0.0064) 0.0055 (0.0033) HEALTH 0.3930 (0.0687) 0.6131 (0.0746) KIDS 0.1651 (0.0881) -0.1479 (0.1159) INCOME 0.0003 (0.0032) -0.0052 (0.0037) TERTDUM 0.0120 (0.1042) 0.0844 (0.1509) TRADEDUM 0.1842 (0.0884) 0.2399 (0.1013) DIPDUM 0.0077 (0.1281) 0.0478 (0.1422) PHI 0.0258 (0.0783) 0.1781 (0.0768) Observations 1717 1490 Log-likelihood -935.52 -892.24 PART B. i. (8 marks) Discuss the effects of PHI on the probability of visiting a GP and compare these effects for the two subsamples of young and old women. Repeat the exercise for the KIDS variable. Do you think that these variables are likely to violate the zero conditional mean assumption? Discuss PHI: In both subsamples, the estimated coefficient on PHI is positive; ceteris paribus the probability of visiting a GP is higher for those with PHI than without. The size of coefficients may be discussed using the rule of thumb but these must not be confused with partial effects. The effect is statistically significant among the old while the opposite is true for the young. In the young subsample, the coefficient is insignificant at any conventional level (t statistic for testing irrelevance of PHI against the 2-sided alternative is 0.3295 < 1.645) whereas in the old subsample it is significantly different from zero at the 5% significance level (t statistic = 2.319 > 1.96). The sign is as expected since PHI makes it cheaper to use GP services and women who expect to visit GPs more often are more likely to purchase PHI. The latter implies that ZCM may be violated due to a selection effect. KIDS: In the young subsample, the coefficient on KIDS is positive and statistically different from zero at the 10% level (t statistic = 1.874 > 1.645); the probability of GP visit is higher for those with dependent children. In the old subsample, the sign of the coefficient indicates that the effect is negative but the coefficient is statistically insignificant from zero at conventional levels (t stat = 1.276 < 1.645). A priori, the expected sign is ambiguous; women may visit GPs for children’s medical care as well as their own (positive) but at the same time they may become busier due to child rearing (negative). For the old sample, KIDS may be older and hence mothers no longer visit GPs for the children’s health. Other reasonable explanations are acceptable. You can argue both ways on the ZCM assumption: for example, you can argue that fertility decisions are exogenous to GP visits. You could also argue that there is an omitted variable bias (KIDS is picking up some unobserved component – e.g. better health measurement – than what is being captured by the existing explanatory variables). Also if the true underlying relationship depends on the number of resident dependent chi ldren, KIDS is top-coded at 1, causing the ZCM assumption to fail due to a measurement error correlated with this variable. Additional material: You could also earn marks (lost elsewhere in the question) by discussing the size of the effects. For example, the effect among the young seems non-trivial in the sense that the coefficient’s magnitude is slightly over 40% of that of the coefficient on the poor health indicator (HEALTH) while for the old, the variable seems far less economically relevant relative to HEALTH. ii. (5 marks) If there is equity of access then variables related to income, education and private health insurance should not affect visits to GPs. When the models are re-estimated without these variables (i.e. with only AGE, HEALTH and KIDS included) the log-likelihood values are – 937.92 for the young sub-sample and –898.63 for the old. Using these results evaluate the null hypothesis of equity of access. Statement of the hypotheses: Calculated statistics: LR test statistics: LLRYOUNG = 2(-935.52+937.92) = 4.8; LLROLD = 2(-892.24+898.63) = 12.78. Distributions of the test statistics and critical values: They are asymptotically chi-squared distributed with 5 degrees of freedom under the null. The appropriate 10% and 5% critical values are 9.2364 and 11.0705 respectively. Decision rules and conclusions: Since LLRYOUNG < 9.2364, we fail to reject the null at 10% level in the young subsample; there is not enough evidence to conclude that income, education and PHI variables affect young women’s GP visits. Since LLROLD > 11.0705, we reject the null at the 5% significance level in the old subsample and conclude that there is some evidence against equity of access among the old women. iii. (4 marks) Consider two types of women: type #1 where AGE = 20, HEALTH = 1, INCOME = 20 and all other variables = 0; type #2 is identical except that AGE = 60. Write down the equation(s) you would use to compare the probability of visiting a GP for these two types of women. Using the probit results can you determine which of these two types of women are more likely to have visited a GP in the last two weeks? If your answer is yes then make the comparison, if your answer is no then explain what information you would need to make the comparison. One possible answer is to use the index and argue that the ranking by the probabilities will be the same as that provided by the index: Index for type #1 = -.791 + -.006*20 +.3930 + 0.0003*20 = -.5120 -.51 < Index for type #2 = -1.1570 + .0055*60 +.6131 – 0.0052*20 = -.3179 -0.32 Since the standard normal CDF increases in the probit index, type #2 woman is more likely to visit GPs than type #1 woman. Another possible answer is to write down the normal CDF for the two types and argue that the equation for type 2 will be greater than type 1. Additional material: You could also earn marks (lost elsewhere in the question) by calculating the difference in the probabilities using the table on p.10 of the exam paper; i.e. the difference in the predicted probabilities can be evaluated as (.5-.1255)-(0.5-.1950) = 0.0695 .07 higher for type 2. iv. (6 marks) In determining the sample to be used for estimation, any individual who did not report their income or reported zero income was deleted from the analysis. Do you see any real or potential problems with this modelling decision? Can you provide an alternative method to deal with this problem? Likely problems (one of the following or another sensible problem): -The potential selection bias which arises when the decision to report zero income or refuse reporting any is correlated with the decision to use GP services. For instant, top income groups may be more jealous of their income information and at the same time more likely to be health conscious and visit GPs in consequence; excluding the said individuals would affect all coefficient estimates as the model would have to predict a lower probability of GP visit on average. -The decrease in the sample size and the resulting increase in standard errors. The incomplete cases may still provide useful information on the effects of other variables on GP visits and the researcher has discarded this information. Alternative solutions (one of the following or another sensible solution): – Use other information to impute the missing information – Use dummy variables for missing income. – More sophisticated imputation methods – Estimate a selection model (this is covered in more detail later in the class but you may know about it from reading or elsewhere) v. (7 marks) Explain how you would construct and use a hit and miss table to compare the performance of the models for the two subsamples of women (young and old). (You do not have to actually construct a table.) Step 1. Calculate a predicted probability for each person in the relevant subsample. Step 2. Obtain a predicted binary outcome for each person using a classification rule: if person i’s predicted probability exceeds c, the predicted outcome is 1 and otherwise 0. It is ok if you use 0.5 or the sample mean. Step 3. For each subsample, tabulate frequencies of predicted and actual binary outcomes in the following form: Predicted 01 Observed 0 A B 1 B’ A’ where: A (A’) = the total number of women whose predicted and observed outcomes are 0 (1) B (B’) = the total number of women whose observed outcome is 0 (1) but the predicted outcome is 1 (0). Step 4. Now, compare the relative frequencies of correct predictions for each subsamples; i.e., compare (A+A’) / (A+B+A’+B’) across the subsamples. This tells us how well one model performs relative to another in terms of predicting the observed outcomes. It is ok to describe the comparisons of the predicted 0’s separately from the predicted 1’s (ie the comparisons of A / (A+B) and A’ / (A’+B’) across subsamples) but this is not needed for full marks.

Advertising Make the Consumer Believe They Are Superior...

Advertisers persuade people into buying their products by making the advertisement appealing to the consumer. By relating alluring experiences that in most cases have nothing to do with the product at all. It is a psychological strategy that advertisers use to make the consumer believe that by buying the product they will be superior or they will get some kind of satisfaction out of it. Researchers have found a way to discover codes hidden in advertisements that make the unconscious mind want to buy the product. Advertisers relate the products to pleasurable experiences and they use emotional branding to make money. Researchers study the right language to sell a product or idea by trying to figure out a code to the unconscious mind of why†¦show more content†¦Imagery is very important in selling products. It defines what people want and the words in the advertisement makes people see what advertisers want them to see and feel in order to sell their product. . Pictures give advertisements a sense of what the product means. A product can mean many things in an advertisement but the images show emotion towards things that people want.(Streeter) Images of desire are substituted for actual products on the advertisements advertisers goal is to transform desire into necessity. â€Å"Semiotics is a tradition of thought known for calling attention to the formal structures of signification, of meaning-making, in culture.†(Streeter) Advertisers use psychology to sell their products by associating products with pleasurable experiences, this is how consumers are persuaded into buying a product even though sometimes the pleasurable experience has nothing to do with the product being advertised. Advertisers want to know how the unconscious mind works when it comes to deciding whether or not to buy a product. They believe that the unconscious mind makes people buy things that they don’t need. Advertisers try to satisfy consumers’ needs throughout images and words to make them feel that they deserve to have that pleasurable experience that is being shown in the advertisement. Some ways that advertisers use psychology to sell their products is by making us think that we need the product but we buy a certainShow MoreRelatedMedia Manipulation And The Media853 Words   |  4 PagesPsychological warfare, Public relations, and Advertising know as Ads. An advertisement is a message printed in a newspaper, or b roadcast to individuals, that attempts to persuade consumers to buy a specific product, or agree with a particular idea. Advertising messages are spread through numerous and varied channels of media. The major media are Print Advertising, Broadcast Advertising, direct mail, business publications, outdoor advertising, and Online Advertising also known as Digital. 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