Assume the data Z 7n1 Z1 come from the AR(1) model where øl< 1 and at i.i.d. N(0,1). Give the exact conditional log- likelihood function for φ. Assume the data Z 7n1 Z1 come from the AR(1) mo...
4. Suppose the panel data model is given by: where Z, is not observed, i 1,, n and t - 1,2,3. In this model we have three waves or we have three cross-sectional data sets: Now we assign the weight 1/2, 1/3, 1/6 to wave 1, wave 2 and wave 3, respectively, i.e., the first wave receives a larger weight while the third wave gets less weight. Please propose a feasible "difference" type estimator for 3, 4. Suppose the panel...
Assume that we have three independent observations: where Xi ~ Binomial(n 7,p) for i E { 1.2.3). The value of p E (0, 1) is not known. When we have observations like this from different, independent ran- dom variables, we can find joint probabilities by multiplying together th ndividual probabilities. For example This should remind you the discussion on statistical independence of random variables that can be found in the course book (see page 22) Answer the following questions a...
In this problem, we will model the likelihood of a particular client of a financial firm defaulting on his or her loans based on previous transactions. There are only two outcomes, "Yes" or "No", depending on whether the client eventually defaults or not. It is believed that the client's current balance is a good predictor for this outcome, so that the more money is spent without paying, the more likely it is for that person to default. For each x,...
As on the previous page, let Xi,...,Xn be i.i.d. with pdf where >0 2 points possible (graded, results hidden) Assume we do not actually get to observe X, . . . , Xn. to estimate based on this new data. Instead let Yİ , . . . , Y, be our observations where Yi-l (X·S 0.5) . our goals What distribution does Yi follow? First, choose the type of the distribution: Bernoulli Poisson Norma Exponential Second, enter the parameter of...
1. Assume n i.id. draws from Y ~ Weibull(9,%), with pdf: where γ-γ0 is a given value and the only unknown parameter is θ. (a) Show that the distribution of Y (for given γ-γ°) admits MyBU estimation of a particular function ψ(0) by showing that the joint pdf. f(y|θ, γ0), belongs to the exponential family with: TL K (e) TL (b) It can be shown that the median of Y is median(Yja, γο-θ(log 2) 1/γο, Take as a given (i.e....
Suppose firm j’s output is given by yj = n 1−α j , where 0 < α < 1 (α is a parameter). Suppose the firm must pay a fixed cost b < α if it wants to operate. That is, the firm’s profits are given by π (nj ) = 0 , if nj = 0 and π (nj ) = n 1−α j − wnj − b , if nj > 0 where w is the wage. (a)...
Really short question! The second picture is some information about the data set. Please help me to solve, thank you! (30%)Q4 (EM algorithm): The heights of n 8000 students are drawn from a school. Assume the height largely depends on the gender. We denote the height of student i by Yi, and the gender of student i by Z..(Y; : 1 i n) are observed, but {Zi : 1 i n} are unknown Our model can be formulated as follows....
Really short question! Please help me to solve, thank you! Yet, the data set is too big (n=8000) as I can’t show all of them. Hope that the information of the second picture would be helpful. (30%)Q4 (EM algorithm): The heights of n 8000 students are drawn from a school. Assume the height largely depends on the gender. We denote the height of student i by Yi, and the gender of student i by Z..(Y; : 1 i n) are...
For this exercise we will run a regression using Swiss demographic data from around 1888. The sample is a cross-section of French speaking counties in Switzerland This data come with the R package datasets. The first step is to load the package into your current environment by typing the command libraryldatasets) in to the R console. This loads a number of datasets including one called swiss. Type help/swiss) in the console for additional details. The basic variable definitions are as...