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Year Quarter Expenditure 1950 1 599 1950 2 583 1950 3 448 1950 4 451 1951 1 596 1951 2 573 1951 3 468 1951

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YearQuarterExpenditure
19501599
19502583
19503448
19504451
19511596
19512573
19513468
19514485
19521557
19522575
19523547
19524485
19531612
19532713
19533566
19534571
19541697
19542664
19543572
19544562
19551641
19552702
19553582
19554568
19561689
19562746
19563610
19564652
19571724
19572734
19573611
19574623
19581747
19582755
19583671
19584656
19591783
19592821
19593781
19594697
19601830
19602840
19603812
19604767
19611852
19612844
19613794
19614738
19621862
19622887
19623750
19624863
19631946
19632961
19633868
19634923
19641977
19642982
19643829
19644855
196511038
196521059
19653958
19654959
196611015
196621031
19663914
19664892
196711039
196721085
196731018
196741031
196811154
196821134
196831111
196841108
196911132
196921177
196931122
196941149
197011286
197021305
197031165
197041174
197111363
197121359
197131167
197141212
197211363
197221325
197231187
197241265
197311368
197321411
197331368
197341326
197411453
197421462
197431342
197441360
197511539
197521566
197531405
197541485
197611546
197621525
197631466
197641496
197711640
197721677
197731572
197741533
197811734
197821749
197831675
197841667
197911761
197921773
197931774
197941789
198011844
198021896
198031812
198041875
198111999
198121959
198131906
198141891
198211991
198222041
198231999
198241970
198312159
198322103
198332058
198342125
198412215
198422203
198432161
198442196
198512255
198522368
198532244
198542198
198612417
198622470
198632361
198642374
198712505
198722585
198732505
198742486
198812598
198822630
198832573
198842586
198912724
198922707
198932688
198942691
199012821
199022941
199032841
199042868
199112978
199123060
199132916
199142933
199213045
199223124
199232998
199243067
199313207
199323243
199333200
199343211
199413363
199423381
199433363
199443340
199513509
199523547
199533557
199543524
199613634
199623761
199633655
199643686
199713864
199723898
199733820
199743872
199813997
199824048
199833942
199843967
199914206
199924234
199934158
199944164
200014310
200024407
200034279
200044309
200114528
200124553
200134556
200144575
200214752
200224817
200234754
200244756
200314945
200324947
200334885
200344914
200415106
200425197
200435165
200445219
200515387
200525429
200535447
200545431
200615596
200625633
200635608
200645742
200715825
200725903
200735875
200745943
200816122
200826151
200836092
200846148
200916310
200926431
200936404
200946424
201016579
201026751
201036685
201046751
201116894
201127002
201137004
201147068
201217241
201227303
201237270
201247334
201317571
201327620
201337636
201347664
201417861
201427983
201437922
201448027
201518196
201528326
201538294
201548373
201618596
201628703
201638632
201648780
201718957
201729056
201739041
201749126
201819339
201829440
201839445
201849496
201919802
201929845
201939846
201949976
2020110181
2020210285
2020310300
2020410403

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ECON 102: FIRST ASSIGNMENT For this assignment, create a PDF with your preferred text processor and insert your charts and discussion when needed. Upload the le to the Learn Dropbox before it closes. Answer the question using the data le. It is an articial time series from 1950 to 2020. For the exercise, we assume that it is a series of consumption expenditure in thousands of dollars. For each chart that you create, add a main title and axis titles. When the chart contains more than one line, use a different color and shape for each line and add a legend. Part A: Visualization 1. Plot the series using a line chart. Briey describe what you see: Is it a positive or negative trend? Is the trend increasing? What kind of short term uctuations do you observe? 2. Answer the previous question using the logscale. Can you tell if the growth rate is increasing or decreasing on average over the period? 3. To better see how the growth rate evolves through time, plot the annualized growth rate of consumption expenditure. Describe what you see. Is it constant on average? Part B: Time Series Decomposition 1. Fit a linear and quadratic trends to your series. Then, create a line chart with your original series and the two trends. Which trend seems to best t the series? Explain. 2. Fit a linear and quadratic trends to the log of your series. Then, create a line chart with the log of your series and the two trends. Which trend seems to best t the series? Do you see a difference between the best trend in this question and in the previous one? Explain. Answer the following questions using the log of your series and the trends computed in question 2. 3. Plot the detrended series using the trend that best t the series. Briey describe what you see: Do you better detect short term uctuations? 4. Using a moving average of order 5, compute the cyclical component of your series. Then, plot the cycle and briey describe what you see: interpret the values of some peaks and troughs. 5. Plot the low frequency of your series and briey describe what you see. 6. Compute the seasonal component and represent it on a bar chart (only the 4 quarters). Interpret the four seasonal values. Part C: Comovement For this part, select any other series in the le assignmentl.zip and answer the following questions: 0 Create a scatter plot of your series expressed in logs against the selected series also expressed in logs. 0 Using the log of the selected series, compute its cyclical component. Then create a scatter plot of this cycle with the cycle of your series computed in Part B. Econ 102 Assignment 1 Page 1 of 2 0 Looking at the two scatter plots, what can you say about the type of comovement between the two series

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