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Now let’s talk about John Lott for a minute. Along with John Whitley, he wrote a paper on abortion and crime. It is so loaded with inaccurate claims, errors and statistical mistakes that I hate to even provide a link to it, but for the sake of completeness you can find it . Virtually nothing in this paper is correct, and it is no coincidence that four years later it remains unpublished. In a letter to the editor at Wall Street Journal, Lott claims that our results are driven by the particular measure of abortions that we used in the first paper. I guess he never bothered to read our in which we show in Table 1 that the results are nearly identical when we use his preferred data source. It is understandable that he could make this argument five years ago, but why would he persist in making it in 2005 when it has been definitively shown to be false? (I’ll let you put on your Freakonomics-thinking-hat and figure out the answer to that last question.) As Lott and Whitley are by now well aware, the statistical results they get in that paper are an artifact of some bizarre choices they made and any reasonable treatment of the data returns our initial results. (Even Ted Joyce, our critic, acknowledges that the basic patterns in the data we report are there, which Lott and Whitley were trying to challenge.)

How to Write a Summary, Analysis, and Response Essay Paper With Examples

decide to write a research paper against abortion, ..

An abortion term paper should be never taken lightly as it is a very controversial and sensitive topic.

If you are required to write an economics term paper, and still don't have a topic, you have come to the right place. We have a list of 20 original and unique topics that may provide inspiration. Remember that the first step towards a winning term paper is a unique and original subject. Don't be afraid to tweak the suggestions below to suit your interests, and the material covered in your economics course.

Abortion is defined as “the termination of pregnancy before the fetus is capable of extrauterine life” (WHO p.19). There are basically two kinds of abortions. The one that is spontaneous and in which termination is not provoked is spontaneous abortion also known as miscarriage. On the other hand, induced abortions are caused by deliberate intervention. Induced abortions include both, those performed in accordance with legal sanctions, and those performed outside the law. Therapeutic abortion refers to medically indicated abortion when pregnant women’s life or health is threatened by continuation of pregnancy or when the health of the fetus appears threatened due to congenital or genetic factors (WHO p.19). In this paper we propose to analyse various implications of abortion.

Essays on abortion - Can You Write My Term Paper for …

I have 3 statistical questions regarding the Abortion Regression.(1) You say in the book that preganancies rose 30% post Roe v. Wade, but births declined 6%. Implying that Abortion is replacing other forms of Birth Control to a large extent. So states with High v. Low abortion rates may not be relevant. A state with a 36% abortion rate could be roughly equivalent to a state with a 6% abortion rate if they did not see the +30% increase. Should you look at (normalized) birth rates not abortions?(2) How are you measuring Crack in the regression? You say in the book that it isn't users it is dealers who commit the crimes. Therfore the relevant measure should not be useage but marginal gain for marginal turf gain. The crash in price is relevant not the level of use.(3) The logic of your paper argues that unwantedness leads to crime. The proxy for this in the bast is children in poverty and single-parent households. I would suggest using a variable for births into poverty and births to unmarried mothers as variables in your regression, so that you can isolate the degree of unwantedness attributeable to abortions. One of Sailer's key criticisms is that post roe v wade abortions possibly led to higher rates of "illegitimacy". So why not include that as a variable? Thanks,Jeff

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