Sunday, February 16, 2020
Securing America and Protecting Civil Liberties Essay - 3
Securing America and Protecting Civil Liberties - Essay Example Almost since its passage, The Patriot Act has come under fire as violating a number of civil liberties that all persons in the United States acquired with the passage of the Bill of Rights, specifically the First Amendment as well as the Fourth Amendment. It is my position that the passage of the Patriot Act, in fact, sought to ââ¬Ëamend the amendmentsââ¬â¢, and take away basic freedoms and civil liberties, along with giving the government more power and control than was needed. Over 200 years ago, the Constitution was drafted in response to freedom from a different kind of terrorist ââ¬â the King of England and the Parliament of England. Determined never again to live in fear and oppression, the Constitution along with its ensuing amendments were drafted in order to give the American people basic rights and freedoms, and to ensure that they were never again taken away arbitrarily. First and foremost was the freedom to express an opinion without fear of reprisal. Closely fo llowing this was the freedom to protect private property and personal effects from unreasonable search and seizure. Since the passage of the Patriot Act, these amendments have both suffered. ... Since the passage of the Patriot Act, no longer can one expect privacy when writing an e-mail, or having a phone conversation ââ¬â and what is worse, the FBI or law enforcement does not have to show that there is ââ¬Ëprobable causeââ¬â¢ to break down anyoneââ¬â¢s door with a search warrant. Though there are supporters of the Patriot Act that have argued that the restrictions on civil liberties and freedoms are necessary in order to protect the country, others disagree, as do I. The American Civil Liberties Union (ACLU) has posted statements on their website that The Patriot Act violates the First and Fourth Amendments. Specifically cited is Section 215 of the Patriot Act, which gives the government the ability to look at the records of individuals that had previously deemed sacred. The First Amendment had guaranteed the ââ¬Ëright of the pressââ¬â¢. Section 215, according to the ACLU, allows the government to request records from libraries, bookstores, and publisher s, without probable cause. Thinking about reading The Anarchistââ¬â¢s Cookbook? Think again ââ¬â the government may soon legally, thanks to the Patriot Act, be bursting through your door to ask why ââ¬â or worse, throw you in jail. Agreeing with the ACLU is the Freedom to Read Committee of the Association of American Publishers, who issued a statement that read, in part, that ââ¬Å"Section 215 presents a significant threat to investigative journalists who write about subjects that may be related to terrorism.â⬠Though the committee recognized and actually agreed that there was an ââ¬Å"urgencyâ⬠in providing federal and state law enforcement officials with information that could potentially lead to
Monday, February 3, 2020
Economic data analysis Essay Example | Topics and Well Written Essays - 1250 words
Economic data analysis - Essay Example The situation is likely to be very different if we are dealing with time series data, for the observations in such data follow a natural ordering over time so that successive observations are likely to exhibit inter correlations, especially if the time interval between successive observations is short, such as a day, a week, or a month rather than. The classical model assumes that the disturbance term relating to any observation is not influenced by the disturbance term relating to any other observation. For example, if we are dealing with quarterly time series data involving the regression of output on labor and capital inputs and there is labor strike affecting output in one quarter, there is no reason to believe that this disruption will be carried over to the next quarter. That is, if output is lower this quarter, there is no reason to expect it to be lower next quarter. Similarly, if we are dealing with cross-sectional data involving regression of family consumption expenditure on family income, the effect of an increase of one family's income on its consumption expenditure is not expected to affect the consumption expenditure of another family. If such dependence exists there exists autocorrelation. Symbolically, In this situation, the disruption caused by a strike this quarte... The situation is likely to be very different if we are dealing with time series data, for the observations in such data follow a natural ordering over time so that successive observations are likely to exhibit inter correlations, especially if the time interval between successive observations is short, such as a day, a week, or a month rather than. c) What do you understand by the term 'autocorrelation' What implications will this have for the properties of ordinary least squares The term 'autocorrelation' can be defined as "correlation between members of series of observations ordered in time [as in time series data] or space [as in cross-sectional data]" In the regression context, the classical linear regression model assumes that such autocorrelati8on does not exist in the disturbances ut. Symbolically, E(ut1, ut2)=0 t1#t2 The classical model assumes that the disturbance term relating to any observation is not influenced by the disturbance term relating to any other observation. For example, if we are dealing with quarterly time series data involving the regression of output on labor and capital inputs and there is labor strike affecting output in one quarter, there is no reason to believe that this disruption will be carried over to the next quarter. That is, if output is lower this quarter, there is no reason to expect it to be lower next quarter. Similarly, if we are dealing with cross-sectional data involving regression of family consumption expenditure on family income, the effect of an increase of one family's income on its consumption expenditure is not expected to affect the consumption expenditure of another family. If such dependence exists there exists autocorrelation. Symbolically, E(ut1, ut2)#0 t1#t2 In this
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