Show the effect of the expansionary fiscal policy according to the new classical view by shifting the appropriate curve or curves (aggregate demand AD; aggregate supply, AS) on the following graph of the goods and services market. If you decide that the policy produced no effect, leave the grap unchanged. AS AD AS AD QUANTITY OF OUTPUT Fill in the first column of the table to summarize the short-run effects of an expansionary fiscal policy according to the new classical view. Then fill i the second column to summarize the short-run effects of an expansionary fiscal policy according to the Keynesian view. (Note: Assume that there no crowding-out or crowding-in effects.) New Classical View Keynesian View Price Level Interest Rate Real GDP Equilibrium Quantity of Loanable Funds PRICE LEVEL

Show the effect of the expansionary fiscal policy according to the new classical view by shifting the appropriate curve or curves (aggregate demand AD; aggregate supply, AS) on the following graph of the goods and services market. If you decide that the policy produced no effect, leave the grap unchanged. AS AD AS AD QUANTITY OF OUTPUT Fill in the first column of the table to summarize the short-run effects of an expansionary fiscal policy according to the new classical view. Then fill i the second column to summarize the short-run effects of an expansionary fiscal policy according to the Keynesian view. (Note: Assume that there no crowding-out or crowding-in effects.) New Classical View Keynesian View Price Level Interest Rate Real GDP Equilibrium Quantity of Loanable Funds PRICE LEVEL

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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Q1
i) C = 250 + 0.8 Y I = 150G = 300TR = 100NX = 100t =0.25 ii) C^ falls to 50, MPS falls to .05, I falls to 10, G falls to 100 and NX falls to 10. Make a graph of i) and ii)
practise papers will be on time series and forecasting. You will use quarterly (GDP, GDP deflator) or monthly data ( CPI, PPI, industrial production index) . Or some other data but it should have at least 100 observations. The topic is regarding about the effect of oil prices on GDP.
This graph shows the seasonal factor taken out of the series after performing the decomposition. Describe the pattern. Use 2-3 sentences.
You estimated a regression with the following output. Source | SS df MS Number of obs = 268 -------------+---------------------------------- F(1, 266) = 23.48 Model | 668419.175 1 668419.175 Prob > F = 0.0000 Residual | 7572666.51 266 28468.6711 R-squared = 0.0811 -------------+---------------------------------- Adj R-squared = 0.0777 Total | 8241085.68 267 30865.4895 Root MSE = 168.73 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 1.014128 .2092916 4.85 0.000 .6020489 1.426207 _cons | 9.173163 21.13463 0.43 0.665 -32.43929 50.78561…
This is for exercises. a. Interpret the data.
(c) Diberi Jadual 3 Given Table 3 Jadual 3 Table 3 Dependent Variable: GNIG Method: Least Squares Sample: 1971 2020 Included observations: 50 Variable Coefficient Std. Error t-Statistic Prob. INV -0.029738 0.143418 -0.207349 0.8367 ME -0.403906 0.830281 -0.486469 0.6290 INF 0.171334 0.194713 0.879930 0.3837 GEXP 0.133799 0.126295 1.059421 0.2952 DUMMY -2.894680 1.990087 -1.454549 0.1529 -4.133286 6.959526 -0.593903 0.5556 R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Mean dependent var S.D. dependent var 0.191174 6.031855 0.099262 3.736466 5.481783 3.546176 Akaike info criterion 553.3159 Schwarz criterion 5.711226 -131.0446 Hannan-Quinn criter. 5.569156 1.529494 2.079971 Durbin-Watson stat Prob(F-statistic) 0.085970 di mana Dummy ialah pembolehubah dummi (D=0 untuk pra-krisis 2008; D=1 untuk pasca-krisis 2008) where Dummy, is dummy variable (D=0 for pre-crisis 2008; D=1 for post-crisis 2008) Kemelesetan besar, kemelesetan ekonomi yang…
You estimated a regression with the following output. Source | SS df MS Number of obs = 223 -------------+---------------------------------- F(1, 221) = 17592.99 Model | 182392130 1 182392130 Prob > F = 0.0000 Residual | 2291176.96 221 10367.3166 R-squared = 0.9876 -------------+---------------------------------- Adj R-squared = 0.9875 Total | 184683307 222 831906.786 Root MSE = 101.82 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 11.97037 .0902481 132.64 0.000 11.79252 12.14823 _cons | 74.40159 10.96696 6.78 0.000 52.78839 96.01479…
Use the following STATA output to test whether the variable wgt is significant at 5% level: Source | SS df Number of obs = EC 3. Prob > F R-squared MS 392 300.76 0.0000 0.6993 Adj R-squared anba6970 4.2965 388) = Model Juu16656.4443 Residual 162,54916 5552.1481 388 18.4601782 Total Juu23818.9935 391 60.9181419 Root MSE Coef. Std. Err. P>It| [95% Conf. Interval] syl ena wat .2677968 -.012674 -.0057079 44.37096 .4130673 .0082501 .0007139 1.480685 -0.65 -1.54 -8.00 29.97 0.517 0.125 0.000 0.000 -1.079927 -.0288944 -.0071115 41.45979 .5443336 0035465 .0043043 47.28213 _cons The variable is not significant because p-value is less than 0.05. The variable is significant because p-value is less than 0.05. The variable is significant because p-value is less than 0.1. The variable is not significant because p-value is greater than 0.05
Find the value of the mode from the following data Class. Frequency 0-10. 8 10-20. 12 20-30. 14 30-40. 16 40-50. 20 50-60. 22 60-70. 28 70-80. 17 80-90. 14 90-100. 10
To study the determinants of growth across the countries in the world, researchers have used country level observations averaged over long periods of time (e.g. averaged over 1960- 2000). Some of these studies have focused on the effect that inflation has on growth and found that although the effect is small for a given time period, it accumulates over time and therefore has an important negative effect. (a) Explain why the OLS estimator may be biased in this case. (b) Some authors have suggested using an index of the Central Bank Independence as an instrumental variable. Discuss whether or not such an index would be a valid instrument (discuss both relevance and exogeneity; note that instrumental validity is more of an economic rather than econometric concept
exaplin Z-D model with the help of diagrams