6.Suppose that a researcher estimates a consumptions function and obtains the following results: where The number in parenthesis is t _value; C=Consumption, Yd=disposable income, and numbers in the parenthesis are the ‘t-ratios’ a.Test the significant of Yd statistically using t-ratios b.Determine the estimated standard deviations of the parameter estimates 7.State the assumption of OLS model 8.Given the model: with usual OLS assumptions. Show the expression for the error variance.

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3.The following data refers to the price of a good ‘P’ and the quantity of the good supplied, ‘S’. P 2 7 5 1 4 8 2 8 S 15 41 32 9 28 43 17 40 a.Estimate the linear regression line b.Estimate the standard errors of 4.The following results have been obtained from a simple of 11 observations on the values of sales (Y) of a firm and the corresponding prices (X). i)Estimate the regression line of sale on price and interpret the results ii)What is the part of the variation in sales which is not explained by the regression line? iii)Estimate the price elasticity of sales. 5.A sample of 20 observation corresponding to the regression model gave the following data. a. Estimate b. Calculate the variance of our estimates c. Estimate the conditional mean of Y corresponding to a value of X fixed at X=10.

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3.The following data refers to the price of a good ‘P’ and the quantity of the good supplied, ‘S’. P 2 7 5 1 4 8 2 8 S 15 41 32 9 28 43 17 40 a.Estimate the linear regression line b.Estimate the standard errors of 4.The following results have been obtained from a simple of 11 observations on the values of sales (Y) of a firm and the corresponding prices (X). i)Estimate the regression line of sale on price and interpret the results ii)What is the part of the variation in sales which is not explained by the regression line? iii)Estimate the price elasticity of sales. 5.A sample of 20 observation corresponding to the regression model gave the following data. a. Estimate b. Calculate the variance of our estimates c. Estimate the conditional mean of Y corresponding to a value of X fixed at X=10.

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1.Econometrics deals with the measurement of economic relationships which are stochastic or random. The simplest form of economic relationships between two variables X and Y can be represented by: ; where are regression parameters and the stochastic disturbance term Justify the reasons for the insertion of U-term in the model? 2.The following data refers to the demand for money (M) and the rate of interest (R) in for eight different economics: Demand for money (M) (In billions) 56 50 46 30 20 35 37 61 Rate of interest (R) (%) 6.3 4.6 5.1 7.3 8.9 5.3 6.7 3.5 a.Assuming a relationship, obtain the OLS estimators ofand b.Calculate the coefficient of determination for the data and interpret its value c.If in a 9th economy the rate of interest is R=8.1, predict the demand for money (M) in this economy.

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Learn on the go Open in app Skip to main content EN-US BusinessEconomicsEconomics questions and answersEconometrics Assignment Instructor: Kassie Dessie 1.Econometrics deals with the measurement of economic relationships which are stochastic or random. The simplest form of economic relationships between two variables X and Y can be represented by: ; This problem has been solved! You’ll get a detailed solution from a subject matter expert that helps you learn core concepts. See Answer Question: Econometrics Assignment Instructor: Kassie Dessie 1.Econometrics deals with the measurement of economic relationships which are stochastic or random. The simplest form of economic relationships between two variables X and Y can be represented by: ; Econometrics Assignment Instructor: Kassie Dessie 1.Econometrics deals with the measurement of economic relationships which are stochastic or random. The simplest form of economic relationships between two variables X and Y can be represented by: ; where are regression parameters and the stochastic disturbance term Justify the reasons for the insertion of U-term in the model? 2.The following data refers to the demand for money (M) and the rate of interest (R) in for eight different economics: Demand for money (M) (In billions) 56 50 46 30 20 35 37 61 Rate of interest (R) (%) 6.3 4.6 5.1 7.3 8.9 5.3 6.7 3.5 a.Assuming a relationship, obtain the OLS estimators ofand b.Calculate the coefficient of determination for the data and interpret its value c.If in a 9th economy the rate of interest is R=8.1, predict the demand for money (M) in this economy. 3.The following data refers to the price of a good ‘P’ and the quantity of the good supplied, ‘S’. P 2 7 5 1 4 8 2 8 S 15 41 32 9 28 43 17 40 a.Estimate the linear regression line b.Estimate the standard errors of 4.The following results have been obtained from a simple of 11 observations on the values of sales (Y) of a firm and the corresponding prices (X). i)Estimate the regression line of sale on price and interpret the results ii)What is the part of the variation in sales which is not explained by the regression line? iii)Estimate the price elasticity of sales. 5.A sample of 20 observation corresponding to the regression model gave the following data. a. Estimate b. Calculate the variance of our estimates c. Estimate the conditional mean of Y corresponding to a value of X fixed at X=10. 6.Suppose that a researcher estimates a consumptions function and obtains the following results: where The number in parenthesis is t _value; C=Consumption, Yd=disposable income, and numbers in the parenthesis are the ‘t-ratios’ a.Test the significant of Yd statistically using t-ratios b.Determine the estimated standard deviations of the parameter estimates 7.State the assumption of OLS model 8.Given the model: with usual OLS assumptions. Show the expression for the error variance.

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Ask a this problem, we study the idea of mixing in a superheterodyne receiver. To be specific, consider the block diagram of the mixer shown in the figure that consists of a product modulator with a local oscillator of variable frequency f _l, followed by a band-pass filter. the input signal is an AM wave of bandwidth 10 kHz and carrier frequency that may lie student submitted image, transcription available below and you will be sure to find an answer!

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The PCM samples are encoded into a 4-bits system. If the minimum sampling rate used is 8kHz, calculate a) The quantization level. b)the transmission rate(2 sample’s) c) The transmission bandwidth 2- Let us consider an example that relates the Nyquist and Shannon formulations. Suppose that the spectrum of a channel is between 3 MHz and 4 MHz and SNR = 24DB I need the answer as soon as possible Please. student submitted image, transcription available below a question and you will be sure to find an answer!

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carrier wave of frequency 100MHz is frequency-modulated by a sinusoidal wave of amplitude 20V and frequency of 100kHz. The frequency sensitivity of the modulator is 25kHz/V. (a) Determine the approximate bandwidth of the FM wave using Carson’s rule. (b) Determine the bandwidth obtained by transmitting only those side frequencies with amplitudes that exceed student submitted image, transcription available below a question and you will be sure to find an answer!

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