ECO220Y5 Lecture Notes - Lecture 8: Addison-Wesley, Royal Institute Of Technology, Maximum Likelihood Estimation

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More on hypothesis testing:an example of some empirical research: an analysis of city size distributions in china introducing the difference in means and associated. It turns out that with some minor modifications we perform very similar tests to the ones we have already discussed. To exemplify the tests discussed in the previous chapter and to introduce these new tests we will use some recent research on the nature and progress of city sizes in china over the period 1949-1999 (anderson and ge (2003)). Some background: a theory of city size distributions. This means that the distribution of city sizes at any point in time is a pareto distribution with a parameter. Letting x be the city size and xmin be the minimum possible city size, the pdf and cdf of this distribution are given by f(x) = (xmin/x +1) and f(x) = 1- (xmin/x) respectively. The logarithm of city size in period i may be written as: ln(

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