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February 17th, 2011 | 
Author: 328
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GDP Deflator
Question one:
The GDP deflator is a price index that is derived from the real GDP and the nominal GDP, the GDP deflator is calculated by dividing the nominal GDP by the Real GDP and then multiplying by 100, in our case we use nominal expenditure and real expenditure because GDP is also measured using the expenditure method. Therefore we use the following formula to derive the price index:
Price index = (nominal GDP/ real GDP) X 100
The following table summarizes our results:
YEAR
RTDE
QTDE
INTL
M4
p
1963
288.856
30.814
1.053
14.969
0.106675991
1964
307.559
34.037
1.058
16.106
0.110668197
1965
312.417
36.256
1.0643
17.616
0.116050023
1966
317.366
38.395
1.0691
18.757
0.120980193
1967
329.964
40.985
1.068
21.158
0.12421052
1968
341.032
44.39
1.0754
22.964
0.130163738
1969
341.179
46.853
1.0905
24.123
0.137326741
1970
349.045
51.27
1.0921
27.009
0.146886505
1971
357.267
57.323
1.0885
31.4
0.160448628
1972
372.979
64.466
1.089
38.674
0.17284083
1973
402.565
76.242
1.1071
47.119
0.189390533
1974
393.599
88.949
1.1477
52.197
0.225988887
1975
386.71
108.923
1.1439
58.383
0.281665848
1976
397.225
129.328
1.1443
64.97
0.325578702
1977
396.143
146.204
1.1273
74.595
0.369068745
1978
411.909
167.515
1.1247
85.77
0.406679631
1979
426.915
197.906
1.1299
98.131
0.463572374
1980
414.792
227.537
1.1378
114.923
0.548556867
1981
408.223
249.322
1.1474
138.363
0.610749517
1982
417.916
274.649
1.1288
154.909
0.65718709
1983
438.768
302.895
1.108
175.299
0.690330653
1984
450.949
326.498
1.1069
198.93
0.724024224
1985
464.316
354.291
1.1062
224.794
0.763038534
1986
487.33
388.179
1.0987
258.304
0.796542384
1987
513.083
428.721
1.0947
304.948
0.835578259
1988
553.461
488.953
1.0936
358.233
0.883446169
1989
569.719
537.279
1.0958
426.322
0.943059649
1990
566.238
566.238
1.1108
477.138
1
1991
548.532
581.897
1.0992
504.133
1.060825986
1992
549.543
605.295
1.0912
517.883
1.10145157
1993
561.346
638.4
1.0787
544.055
1.137266499
1994
580.092
675.164
1.0805
567.157
1.163891245
Question two:
Deriving the real money supply:
We derive the real money supply RM4 by dividing the nominal money supply by the price index:
YEAR
RTDE
QTDE
INTL
M4
p
RM4
1963
288.856
30.814
1.053
14.969
0.106675991
140.3221089
1964
307.559
34.037
1.058
16.106
0.110668197
145.5341321
1965
312.417
36.256
1.0643
17.616
0.116050023
151.7966094
1966
317.366
38.395
1.0691
18.757
0.120980193
155.0419081
1967
329.964
40.985
1.068
21.158
0.12421052
170.3398393
1968
341.032
44.39
1.0754
22.964
0.130163738
176.4239434
1969
341.179
46.853
1.0905
24.123
0.137326741
175.6613454
1970
349.045
51.27
1.0921
27.009
0.146886505
183.8766609
1971
357.267
57.323
1.0885
31.4
0.160448628
195.7012683
1972
372.979
64.466
1.089
38.674
0.17284083
223.7550002
1973
402.565
76.242
1.1071
47.119
0.189390533
248.7927945
1974
393.599
88.949
1.1477
52.197
0.225988887
230.9715343
1975
386.71
108.923
1.1439
58.383
0.281665848
207.2775257
1976
397.225
129.328
1.1443
64.97
0.325578702
199.5523649
1977
396.143
146.204
1.1273
74.595
0.369068745
202.1168168
1978
411.909
167.515
1.1247
85.77
0.406679631
210.9031127
1979
426.915
197.906
1.1299
98.131
0.463572374
211.6843141
1980
414.792
227.537
1.1378
114.923
0.548556867
209.5006132
1981
408.223
249.322
1.1474
138.363
0.610749517
226.5462292
1982
417.916
274.649
1.1288
154.909
0.65718709
235.7152207
1983
438.768
302.895
1.108
175.299
0.690330653
253.9348343
1984
450.949
326.498
1.1069
198.93
0.724024224
274.7560003
1985
464.316
354.291
1.1062
224.794
0.763038534
294.6037323
1986
487.33
388.179
1.0987
258.304
0.796542384
324.2815513
1987
513.083
428.721
1.0947
304.948
0.835578259
364.9544452
1988
553.461
488.953
1.0936
358.233
0.883446169
405.4949953
1989
569.719
537.279
1.0958
426.322
0.943059649
452.0626034
1990
566.238
566.238
1.1108
477.138
1
477.138
1991
548.532
581.897
1.0992
504.133
1.060825986
475.2268576
1992
549.543
605.295
1.0912
517.883
1.10145157
470.1822706
1993
561.346
638.4
1.0787
544.055
1.137266499
478.3883115
1994
580.092
675.164
1.0805
567.157
1.163891245
487.2938108
Question 3:
Rate of inflation:
YEAR
RTDE
QTDE
INTL
M4
p
RM4
PI
1963
288.856
30.814
1.053
14.969
0.106675991
140.3221089
1964
307.559
34.037
1.058
16.106
0.110668197
145.5341321
0.037423662
1965
312.417
36.256
1.0643
17.616
0.116050023
151.7966094
0.048630284
1966
317.366
38.395
1.0691
18.757
0.120980193
155.0419081
0.042483148
1967
329.964
40.985
1.068
21.158
0.12421052
170.3398393
0.026701286
1968
341.032
44.39
1.0754
22.964
0.130163738
176.4239434
0.047928455
1969
341.179
46.853
1.0905
24.123
0.137326741
175.6613454
0.055030704
1970
349.045
51.27
1.0921
27.009
0.146886505
183.8766609
0.069613275
1971
357.267
57.323
1.0885
31.4
0.160448628
195.7012683
0.09233063
1972
372.979
64.466
1.089
38.674
0.17284083
223.7550002
0.077234703
1973
402.565
76.242
1.1071
47.119
0.189390533
248.7927945
0.09575112
1974
393.599
88.949
1.1477
52.197
0.225988887
230.9715343
0.193242784
1975
386.71
108.923
1.1439
58.383
0.281665848
207.2775257
0.246370347
1976
397.225
129.328
1.1443
64.97
0.325578702
199.5523649
0.155904079
1977
396.143
146.204
1.1273
74.595
0.369068745
202.1168168
0.133577666
1978
411.909
167.515
1.1247
85.77
0.406679631
210.9031127
0.101907533
1979
426.915
197.906
1.1299
98.131
0.463572374
211.6843141
0.139895728
1980
414.792
227.537
1.1378
114.923
0.548556867
209.5006132
0.183325189
1981
408.223
249.322
1.1474
138.363
0.610749517
226.5462292
0.113375027
1982
417.916
274.649
1.1288
154.909
0.65718709
235.7152207
0.076033746
1983
438.768
302.895
1.108
175.299
0.690330653
253.9348343
0.050432462
1984
450.949
326.498
1.1069
198.93
0.724024224
274.7560003
0.048807874
1985
464.316
354.291
1.1062
224.794
0.763038534
294.6037323
0.053885365
1986
487.33
388.179
1.0987
258.304
0.796542384
324.2815513
0.043908464
1987
513.083
428.721
1.0947
304.948
0.835578259
364.9544452
0.049006652
1988
553.461
488.953
1.0936
358.233
0.883446169
405.4949953
0.057287165
1989
569.719
537.279
1.0958
426.322
0.943059649
452.0626034
0.067478339
1990
566.238
566.238
1.1108
477.138
1
477.138
0.060378314
1991
548.532
581.897
1.0992
504.133
1.060825986
475.2268576
0.060825986
1992
549.543
605.295
1.0912
517.883
1.10145157
470.1822706
0.03829618
1993
561.346
638.4
1.0787
544.055
1.137266499
478.3883115
0.032516118
1994
580.092
675.164
1.0805
567.157
1.163891245
487.2938108
0.023411176
The above table summarizes the rate of inflation, we cannot derive the rate of inflation for the year 1963 due to the fact that we need the price index for the year 1962 which is not provided by our data.
Question 4:
Real interest rates:
RINTL = INTL - PI
YEAR
RTDE
QTDE
INTL
M4
p
RM4
PI
RINTL
1963
288.856
30.814
1.053
14.969
0.106675991
140.3221089
1964
307.559
34.037
1.058
16.106
0.110668197
145.5341321
0.037423662
1.0205763
1965
312.417
36.256
1.0643
17.616
0.116050023
151.7966094
0.048630284
1.0156697
1966
317.366
38.395
1.0691
18.757
0.120980193
155.0419081
0.042483148
1.0266169
1967
329.964
40.985
1.068
21.158
0.12421052
170.3398393
0.026701286
1.0412987
1968
341.032
44.39
1.0754
22.964
0.130163738
176.4239434
0.047928455
1.0274715
1969
341.179
46.853
1.0905
24.123
0.137326741
175.6613454
0.055030704
1.0354693
1970
349.045
51.27
1.0921
27.009
0.146886505
183.8766609
0.069613275
1.0224867
1971
357.267
57.323
1.0885
31.4
0.160448628
195.7012683
0.09233063
0.9961694
1972
372.979
64.466
1.089
38.674
0.17284083
223.7550002
0.077234703
1.0117653
1973
402.565
76.242
1.1071
47.119
0.189390533
248.7927945
0.09575112
1.0113489
1974
393.599
88.949
1.1477
52.197
0.225988887
230.9715343
0.193242784
0.9544572
1975
386.71
108.923
1.1439
58.383
0.281665848
207.2775257
0.246370347
0.8975297
1976
397.225
129.328
1.1443
64.97
0.325578702
199.5523649
0.155904079
0.9883959
1977
396.143
146.204
1.1273
74.595
0.369068745
202.1168168
0.133577666
0.9937223
1978
411.909
167.515
1.1247
85.77
0.406679631
210.9031127
0.101907533
1.0227925
1979
426.915
197.906
1.1299
98.131
0.463572374
211.6843141
0.139895728
0.9900043
1980
414.792
227.537
1.1378
114.923
0.548556867
209.5006132
0.183325189
0.9544748
1981
408.223
249.322
1.1474
138.363
0.610749517
226.5462292
0.113375027
1.034025
1982
417.916
274.649
1.1288
154.909
0.65718709
235.7152207
0.076033746
1.0527663
1983
438.768
302.895
1.108
175.299
0.690330653
253.9348343
0.050432462
1.0575675
1984
450.949
326.498
1.1069
198.93
0.724024224
274.7560003
0.048807874
1.0580921
1985
464.316
354.291
1.1062
224.794
0.763038534
294.6037323
0.053885365
1.0523146
1986
487.33
388.179
1.0987
258.304
0.796542384
324.2815513
0.043908464
1.0547915
1987
513.083
428.721
1.0947
304.948
0.835578259
364.9544452
0.049006652
1.0456933
1988
553.461
488.953
1.0936
358.233
0.883446169
405.4949953
0.057287165
1.0363128
1989
569.719
537.279
1.0958
426.322
0.943059649
452.0626034
0.067478339
1.0283217
1990
566.238
566.238
1.1108
477.138
1
477.138
0.060378314
1.0504217
1991
548.532
581.897
1.0992
504.133
1.060825986
475.2268576
0.060825986
1.038374
1992
549.543
605.295
1.0912
517.883
1.10145157
470.1822706
0.03829618
1.0529038
1993
561.346
638.4
1.0787
544.055
1.137266499
478.3883115
0.032516118
1.0461839
1994
580.092
675.164
1.0805
567.157
1.163891245
487.2938108
0.023411176
1.0570888
Question 5:
Estimate RM4t=
The following table summarizes the calculations:
Y
X
Y-Y'
X-X'
YEAR
RM4
RINTL
y
x
yx
x2
y2
1964
145.5341
1.020576
-129.289
-0.0012
0.155314
1.4431E-06
16715.58
1965
151.7966
1.01567
-123.026
-0.00611
0.751434
3.7307E-05
15135.46
1966
155.0419
1.026617
-119.781
0.004839
-0.57965
2.3418E-05
14347.48
1967
170.3398
1.041299
-104.483
0.019521
-2.03962
0.00038107
10916.7
1968
176.4239
1.027472
-98.3989
0.005694
-0.56027
3.2421E-05
9682.347
1969
175.6613
1.035469
-99.1615
0.013692
-1.35769
0.00018746
9833.006
1970
183.8767
1.022487
-90.9462
0.000709
-0.06449
5.0282E-07
8271.211
1971
195.7013
0.996169
-79.1216
-0.02561
2.026166
0.00065578
6260.226
1972
223.755
1.011765
-51.0679
-0.01001
0.511308
0.00010025
2607.926
1973
248.7928
1.011349
-26.0301
-0.01043
0.271461
0.00010876
677.5643
1974
230.9715
0.954457
-43.8513
-0.06732
2.952089
0.00453204
1922.939
1975
207.2775
0.89753
-67.5453
-0.12425
8.392371
0.01543756
4562.372
1976
199.5524
0.988396
-75.2705
-0.03338
2.512658
0.00111434
5665.647
1977
202.1168
0.993722
-72.706
-0.02806
2.03979
0.0007871
5286.169
1978
210.9031
1.022792
-63.9197
0.001015
-0.06487
1.0299E-06
4085.734
1979
211.6843
0.990004
-63.1385
-0.03177
2.006124
0.00100955
3986.476
1980
209.5006
0.954475
-65.3222
-0.0673
4.396371
0.00452967
4266.996
1981
226.5462
1.034025
-48.2766
0.012247
-0.59126
0.00015
2330.633
1982
235.7152
1.052766
-39.1076
0.030989
-1.21189
0.00096029
1529.407
1983
253.9348
1.057568
-20.888
0.03579
-0.74758
0.00128092
436.3096
1984
274.756
1.058092
-0.06686
0.036314
-0.00243
0.00131874
0.00447
1985
294.6037
1.052315
19.78087
0.030537
0.604049
0.00093251
391.2829
1986
324.2816
1.054792
49.45869
0.033014
1.632825
0.00108992
2446.162
1987
364.9544
1.045693
90.13159
0.023916
2.155562
0.00057196
8123.703
1988
405.495
1.036313
130.6721
0.014535
1.899346
0.00021127
17075.21
1989
452.0626
1.028322
177.2397
0.006544
1.159862
4.2824E-05
31413.93
1990
477.138
1.050422
202.3151
0.028644
5.795126
0.00082048
40931.42
1991
475.2269
1.038374
200.404
0.016596
3.325982
0.00027544
40161.76
1992
470.1823
1.052904
195.3594
0.031126
6.080794
0.00096884
38165.3
1993
478.3883
1.046184
203.5655
0.024406
4.96827
0.00059567
41438.89
1994
487.2938
1.057089
212.471
0.035311
7.502603
0.00124688
45143.91
total
8519.509
31.67511
0
6.66E-16
53.91976
0.03940544
393811.7
mean
274.8229
1.021778
B = ∑yx/∑x
B = 53.91976/0.03940544
B = 1368.332775
A = -1123.308961
We state the model as follows:
RM4t= - 1123.308961 + 1368.332775 RINTL
Question 6:
RM4t= - 1123.308961 + 1368.332775 RINTL
The following model has a constant and a slope value, from the model it is evident that if we hold all other factors constant and let the value of RINTL to be zero then the value of RM4 will be - 1123.308961, also if we hold all other factors constant and increase RINTL by one unit then RM$ will increase by 1368 units. From our result there it means that an increase in the real interest rate will increase the level of real money supply.
Coefficients:
We test the significance of the autonomous value and slope value at 98% level of test:
We state the null and alternative hypothesis in both cases, we start with the autonomous value :
Null hypothesis H0: a = 0, alternative hypothesis Ha: a ≠ 0. For the slope we state the null hypothesis as H0: b = 0 and the alternative hypothesis as Ha: b ≠ 0. We test both of this hQypothesis at 95% level of test taking into consideration the sample size and also a two tail test, the critical value is 2.04523. after determining the standard errors of our coeeficients the following is the results:
coefficient
value
std error
T calculated
T critical 95%
null hypothesis
a
-1123.30896
529.199369
-2.1226574
2.04523
reject
b
1368.332775
3012.45646
0.45422491
2.04523
accept
The table summarizes the T calculated values, from the above it is evident that we reject the null hypothesis for the autonomous value because the T calculated is greater than the T critical, we accept the null hypothesis for the slope because the T calculated is smaller than the T critical.
For this reason therefore at 95% level of test the autonomous value is statistically significant while at the same level of test the slope value is not statistically significant.
Question 7:
We now estimate the model
RM4t= a + b1RINTL + b2RDTE
After estimating the model is stated as follows:
RM4t= - 534.66+ 267.9 RINTL + 1.24 RDTE
This model means that if we hold all factors constant and that the value of b1 and b2 are zero then the value of RM4 will be -534.66, if we hold all factors constant and increase the value of RINTL by one unit then RM4 will increase by 267.9 units, finally if we hold all other factors constant and increase RDTE by one unit then the level of RM4 will increase by 1.24 units.Statistical significance of the data shows the following results:
Null hypothesis H0: a = 0, alternative hypothesis Ha: a ≠ 0. For b1 we state the null hypothesis as H0: b1 = 0 and the alternative hypothesis as Ha: b1 ≠ 0, For b2 we state the null hypothesis as H0: b2 = 0 and the alternative hypothesis as Ha: b2 ≠ 0. We test this hypothesis at 95% level of test taking into consideration the sample size and also a two tail test, the critical value is 2.04841. After determining the standard errors of our coefficients the following is the results:
coefficient
value
standard deviation
T calculated
T critical 95%
null hypothesis
a
(534.66)
109.1178754
(4.90)
2.04841
reject
b1
267.9060968
106.7331702
2.51
2.04841
reject
b2
1.24
1.286465098
0.97
2.04841
accept
The table summarizes the T calculated values, from the above it is evident that we reject the null hypothesis for the a because the T calculated is greater than the T critical, we also reject the null hypothesis for the b1 because the T calculated is greater than the T critical, we however accept the null hypothesis b2 because the T calculated is smaller than the T critical.
For this reason therefore at 95% level of test both the autonomous value and b1 are statistically significant while b2is not statistically significant at 95% level of test.
Question 8:
We now estimate the model
RM4t= a + b1RINTL + b2PI
After estimating the model is stated as follows:
RM4t= -701826551.6 + 686607260.3RINTL + 3279238.325 PI
This model means that if we hold all factors constant and that the value of b1 and b2 are zero then the value of RM4 will be -701826551.6, if we hold all factors constant and increase the value of RINTL by one unit then RM4 will increase by 686607260.3 units, finally if we hold all other factors constant and increase PI by one unit then the level of RM4 will increase by 3279238.325 units.
Statistical significance of the data shows the following results:
Null hypothesis H0: a = 0, alternative hypothesis Ha: a ≠ 0. For b1 we state the null hypothesis as H0: b1 = 0 and the alternative hypothesis as Ha: b1 ≠ 0, For b2 we state the null hypothesis as H0: b2 = 0 and the alternative hypothesis as Ha: b2 ≠ 0. We test this hypothesis at 95% level of test taking into consideration the sample size and also a two tail test, the critical value is 2.04841. After determining the standard errors of our coefficients the following is the results:
coefficient
value
standard deviation
T calcualted
T critical 95%
null hypothesis
a
-701826551.6
132613646.1
-5.292265
2.04841
reject
b1
686607260.3
129773744.2
5.2908026
2.04841
reject
b2
3279238.325
2496305049
0.0013136
2.04841
accept
The table summarizes the T calculated values, from the above it is evident that we reject the null hypothesis for the a because the T calculated is greater than the T critical, we also reject the null hypothesis for the b1 because the T calculated is greater than the T critical, we however accept the null hypothesis b2 because the T calculated is smaller than the T critical.
For this reason therefore at 95% level of test both the autonomous value and b1 are statistically significant while b2is not statistically significant at 95% level of test. The coefficient of PI in this model means that as inflation increase then the real money supply will also increase.
Question 10:
Joint hypothersis testing:
Null hypothesis:
H0: b1 = b2 = 0
Alternative hypothesis:
Ha: b1 ≠ b2 ≠0
Given that the value of F is derived from the following formula:
f = ((b1yx1 +b2yx2)/2 ) / (e2/n-3)
we use the following figures:
b1
686607260.3
b2
3279238.325
yx1
8726.598196
yx2
286875.8435
e2
1.5265E+19
After calulcation our F value is 0.0000063580, from the table we use the F table to determine the critical value, for our case the critical value is using the 2 degrees of freedom for the numerator and 28 degrees of freedom for the denominator 5.453, this means that we accept the null hypothesis because the critical value is greater than our calculated value, therefore this means that b1 and b2 are not statistically significant.
REFERENCEs:
ONS database
About the Author
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short stories
short stories
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How to Write Short Stories for Small Children
Every person during his/her childhood has heard a lot of stories and fairy tales. Most of them are fictional barring a few that are based on actual events. It is not at all difficult to write short stories, all that you need is a good command over the language and a bit of creativity. Apart from these there are certain things that need to be taken care of like the beginning of the story, the ending etc.
If you want to try writing short stories for small children then here are few tips that will make your story the best.
An appealing and an interesting beginning will arouse the curiosity of the reader which will keep them glued to the story till the end. But before you start writing the first paragraph, you must decide on several story elements. Consider choosing the following before you write the first paragraph:
1. Setting (This is where the story takes place.)
2. Time (Commonly most short stories cover a day or up to a week. If your short story covers a month, you will probably need a shorter time period.)
3. Major conflict (that is the main problem that the characters will solve.)
4. Characters (it is advisable to have 2-4 characters in your story. The plot tends to get complicated if you have more than 4 characters)
5. Ending (There should be a resolution and all of the loose ends should be tied up.)
Once you have decided on the basic story elements, the next thing is to decide on the major element of the story I.e. the target audience. In the case of short stories it is the children whom we target.
After choosing the major story element you can start writing your story. If there are any conversations between the characters which are referred to as dialogues then just keep in mind that each time a different character talks, you need to indent and start a new paragraph. To come up with better dialogues it is suggested to put yourself in the shoes of the characters you are creating as this will help you come up with realistic dialogues.
Read the stories of other writers to get an idea of how to go about writing short stories. Consider reading some folklore stories, which are available on the internet.
Although you read stories of other authors it is really important to have your own style of writing. The story you write should be different from the ones you have read, in other words the story should be unique. This way you can attract more child readers and at the same time make a good name as a popular author in a short span of time.
About the Author
For more information and for poetry publishing visit children's stories where there are many authors willing to help.
short poem
short poem
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A Poem for Love
Have you ever been in a relationship? Sounds like a stupid question, huh? Anyway as stupid as it may seem, not a lot of people can answer it with a yes as you would think. Anyway that is a sweet story for another day. If you have been in a relationship, you are bound to have gone through ups and downs that make or may even break a relationship. I have gone through a questionable moment in a relationship I was in, and since I express myself using short poems, I decided to write about it. Read the free poetry piece from me below and see if you can relate. This poem is sort of an emotional war poem of what could be possibly running through my mind if i found my girlfriend in another man’s arms. Enjoy the rhyming poem. Here is the story;
What if you..... Just once took a chance and went to the bank to get an advance or rather some finance so that you could take your girl to an exotic trip to France to enhance your relationship's romance, only to find your fiancée' who has taken your love into an addictive trance, you find her in another man's arms doing the dirty dance in a very compromising stance that specifically looks like a horse in a wild prance? Would you give your girl a second chance?
Come take a nap on my lap, i am being genuine, its not a trap. Come and relax and sleep swiftly like water from a tap. If you want i can give you a map, i won't hit you or give you a slap, its like lying on a pillow, its not sharp. At most i will give your shoulder a tap or tease you with a gentle hand clap. Since i can't sing to you a lullaby or play a harp, i will rap, but the effect will still be as soothing as a bird's chirp. Come and take a nap on my lap then maybe later i can give you a cap.
About the Author
Odongo Okungu is a prolific writer who is passionate about entertaining people with a variety of simple , funny and easy to read poems. Get a FREE download of a collection of his best funny and entertaining short poems at http://www.myshortpoems.com/
popular poems
popular poems
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Special Love Poems by Famous Poetry Poets
Love poems beautifully capture the magical essence of love! The poems express your true feeling for the other person. Be true to your emotions and you can come up with the most amazing love poems. Whether you are composing your own poem or using poems of famous poets, they can be used to express your intense emotions. It goes without saying that the best love poems are the ones that you compose. So, go ahead and surprise your partner by writing a romantic love poem for him/her.
Popular Love Poems
Given here are popular love poems written by renowned poets. You can use this or seek inspiration from here to write a poem for your beloved.
Strange Fits of Passion Have I Known
Strange fits of passion have I known:
And I will dare to tell,
But in the lover's ear alone,
What once to me befell.
When she I loved looked every day
Fresh as a rose in June,
I to her cottage bent my way,
Beneath an evening-moon.
Upon the moon I fixed my eye,
All over the wide lea;
With quickening pace my horse drew nigh
Those paths so dear to me.
And now we reached the orchard-plot;
And, as we climbed the hill,
The sinking moon to Lucy's cot
Came near, and nearer still.
In one of those sweet dreams I slept,
Kind Nature's gentlest boon!
And all the while my eye I kept
On the descending moon.
My horse moved on; hoof after hoof
He raised, and never stopped:
When down behind the cottage roof,
At once, the bright moon dropped.
What fond and wayward thoughts will slide
Into a Lover's head!
"O mercy!" to myself I cried,
"If Lucy hould be dead!"
By: William Wordsworth
"Why do I love" You, Sir?
"Why do I love" You, Sir?
Because—
The Wind does not require the Grass
To answer—Wherefore when He pass
She cannot keep Her place.
Because He knows—and
Do not You—
And We know not—
Enough for Us
The Wisdom it be so—
The Lightning—never asked an Eye
Wherefore it shut—when He was by—
Because He knows it cannot speak—
And reasons not contained—
—Of Talk—
There be—preferred by Daintier Folk—
The Sunrise—Sire—compelleth Me—
Because He's Sunrise—and I see—
Therefore—Then—
I love Thee—
By: Emily Dickinson
Shall I compare thee to a summer's day?
Shall I compare thee to a summer's day?
Thou art more lovely and more temperate.
Rough winds do shake the darling buds of May,
And summer's lease hath all too short a date.
Sometime too hot the eye of heaven shines,
And often is his gold complexion dimmed;
And every fair from fair sometime declines,
By chance, or nature's changing course, untrimmed;
But thy eternal summer shall not fade,
Nor lose possession of that fair thou ow'st,
Nor shall death brag thou wand'rest in his shade,
When in eternal lines to Time thou grow'st.
So long as men can breathe, or eyes can see,
So long lives this, and this gives life to thee.
By: William Shakespeare
About the Author
The article has been written by Jessica J the famous writer at Mydearvalentine. Mydearvalentine.com is your one stop source for Love Quotes, romantic gifts, love and romance and other information that you want to gather for your valentine.
quotes about writing
quotes about writing
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"Grammar For Quotes" Checker - Write English like a Pro !
I think anyone interested in a "grammar for quotes" checker will consider the information which follows truly remarkable. Finally, experts have come up with a user-friendly and highly effective solution that provides the capability for anyone to write perfect english sentences, even if writing used to be a struggle. Are you wondering how this is possible? Just read on - what you'll learn will change what you now comprehend about english grammar and writing.
Up until today, attaining an advanced skill level in english writing was not an easy thing to do and demanded that you practice and memorize constantly. English is not an easy language to master and has seemingly endless rules to remember with each and every word and sentence that you write - this can be a difficult task, but it's necessary in order to appear as educated and knowledgeable as possible.
If it happens that you are looking for information about a "grammar for quotes" checker I have very interesting news - with an amazing new technology, it's now possible to write as you usually do while this "behind the scenes" tool does its job of correcting your errors. The people responsible for this - a group of natural language processing experts - have designed an easy-to-use English writing analysis technology. This highly specialized program is supplied with all possible combinations of proper words and phrases, thus as it reads your text, it is able to find grammatical errors and then easily fix them for you.
I hope you'll agree that anyone and everyone who is hoping to find more details about a "grammar for quotes" checker should try out this new tool. Communicating via the written word has long been a vital part of human interaction; it is worth the effort we put into it, since the way we write says a lot about our past and what we can bring to our professional lives. If you'd like to be able to transform the text you create into something clear, concise, and deserving of respect with a computer program, then you have to try this patented new technology. Take a moment to think about how this technology can improve your humdrum emails, papers, proposals… everything will benefit from this tool. And amazingly, not only will it detect and correct any questionable grammar, but the nitty-gritty of punctuation and spelling, too.
About the Author
Want to write English like a professional in just a few minutes?
Visit: EnglishSoftwareGuide.com
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