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kristi villarreal

kristi v.

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In \_\_\_\_\_\_\_\_\_, the two binary values are represented by two different amplitudes of the carrier frequency. Commonly, one of the amplitudes is zero. One binary digit is represented by the presence, at constant amplitude, of the carrier, the other by the absence of the carrier. âš« high density bipolar-3 zeros âš« phase shift keying âš« amplitude shift keying âš« frequency shift keying

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If the input that is read by the priming read is valid, how many times will the input validation loop iterate in python?

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explain in details the conflict theory that characterize the cause of drug abuse

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Find the probability of getting a 2 or 4 when rolling a standard six-sided die. Give your answer as a simplified fraction

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What kind of service is VPC? a. Network b. Compute c. Security d. Storage

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How would economic contraction brought about by Covid – 19 slowdown be represented using production possibilities curve?

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If a good is a necessity, demand for the good would tend to be:

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6. Suppose \(\vec{u}\) and \(\vec{v}\) are unit vectors with an angle of 60° between them. Compute \(\|\vec{u} \times \vec{v}\|\)

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With these values, what are the steady-state levels of capital and GDP? In other words, what is this nation’s economic destiny? Due to a gift from Elon Musk, this country’s capital stock rises to 100. Musk is trying to “kick start” this economy with lots of aid, as you can tell. So we’re starting off with 100 units of capital (much higher than the steady-state level of capital, as you’ll see). Starting off with such a capital-rich country offers us a simulated economy where we can evaluate the theory that foreign aid—whether in the form of the Marshall Plan, World Bank grants and subsidized loans, or “foreign orders for military equipment”—can make a nation permanently richer than it would be without the aid.

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You are given the following data sampling process $y_i = \beta_1 + \beta_2x_{2i} + e_i$, where: $\epsilon_i = \sqrt{x_{2i}} * u_i$ $u_i \sim N(0, 1)$ and $x_{2i}$ is a non-stochastic positive variable. (a) Show that this model is heteroskedastic {2 marks} (b) If the empirical information is $Y = \begin{bmatrix} 4 & 2 & 5 & 7 \end{bmatrix}'$ and $x_{2i} = \begin{bmatrix} 1 & 1 & 4 & 4 \end{bmatrix}'$. Estimate $\hat{\beta}_{OLS}$ {2 marks} (c) What are the characteristics of $\hat{\beta}_{OLS}$? {2 marks} (d) Discuss how you would transform the data so that you could remove the heteroskedasticity {2 marks} (e) Now estimate the model with the empirical information given in section (b), but by GLS. {4 marks} (f) Show that in this case $var(\hat{\beta}_{GLS}) = \begin{bmatrix} 10 & -4 \ -4 & 5 \end{bmatrix} / 18$ {2 marks} (g) Supply the robust standard errors that can be used to test the significance of $\beta_1$ and $\beta_2$ in 2(c) above {2 marks} (h) The figure below shows edited stata output detailing results for a heteroscedasticity test. Use it to test whether the reference estimation was heteroscedastic. {2 marks} . hettest Breusch-Pagan/Cook-Weisberg test for heteroskedasticity Assumption: Normal error terms Variable: Fitted values of price H0: Constant variance chi2(1) = 105.75 Prob > chi2 = 0.0000

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