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Date,GDP,GDPIMPR,LOGGDP,GrowthRate,li1,li2,T
1950Q1,94.3,NA,4.5464811896,NA,0,0,0
1950Q2,95.2,1,4.5559799418,0.0094987522,0,0,1
1950Q3,97.663,1,4.581522777,0.0255428352,3,1,2
1950Q4,99.728,1,4.6024464801,0.0209237031,4,2,3
1951Q1,100.445,1,4.609610314,0.0071638339,2,1,4
1951Q2,100.406,0,4.6092219664,-0.0003883476,1,3,5
1951Q3,100.686,1,4.6120067632,0.0027847968,1,3,6
1951Q4,100.728,1,4.6124238147,0.0004170515,-1,2,7
1952Q1,100.673,0,4.6118776406,-0.0005461741,-3,4,8
1952Q2,100.596,0,4.6111124954,-0.0007651452,-4,4,9
1952Q3,101.513,1,4.6201868691,0.0090743737,-2,2,10
1952Q4,102.648,1,4.6313056596,0.0111187905,-4,1,11
1953Q1,103.792,1,4.6423888965,0.0110832369,-2,0,12
1953Q2,104.867,1,4.6526928806,0.0103039841,0,-1,13
1953Q3,105.212,1,4.6559773622,0.0032844816,0,0,14
1953Q4,105.167,0,4.6555495629,-0.0004277994,-1,1,15
1954Q1,104.8,0,4.6520537719,-0.003495791,-2,3,16
1954Q2,106.646,1,4.6695149384,0.0174611665,-3,3,17
1954Q3,107.516,1,4.6776396737,0.0081247353,-4,3,18
1954Q4,108.784,1,4.6893642648,0.0117245911,-4,3,19
1955Q1,110.794,1,4.7076726212,0.0183083564,-4,2,20
1955Q2,113.314,1,4.7301627262,0.0224901049,-4,1,21
1955Q3,115.649,1,4.7505597419,0.0203970157,-3,2,22
1955Q4,117.614,1,4.767408076,0.0168483341,-1,2,23
1956Q1,119.183,1,4.780660127,0.013252051,1,2,24
1956Q2,119.083,0,4.779820729,-0.000839398,0,3,25
1956Q3,118.72,0,4.7767677794,-0.0030529496,3,2,26
1956Q4,118.04,0,4.7710235501,-0.0057442293,3,1,27
1957Q1,119.428,1,4.7827136793,0.0116901293,3,1,28
1957Q2,119.426,0,4.7826969327,-1.67466318341525E-
005,3,2,29
1957Q3,119.136,0,4.7802656977,-0.002431235,3,2,30
1957Q4,119.274,1,4.7814233674,0.0011576697,3,2,31
1958Q1,119.385,1,4.7823535649,0.0009301975,3,1,32
1958Q2,119.608,1,4.7842197289,0.001866164,2,0,33
1958Q3,119.5,0,4.7833163714,-0.0009033575,1,-2,34
1958Q4,119.461,0,4.7829899583,-0.0003264131,0,-4,35
1959Q1,119.066,0,4.7796779612,-0.0033119971,0,-6,36
1959Q2,118.917,0,4.7784257708,-0.0012521904,0,-6,37
1959Q3,119.47,1,4.7830652938,0.0046395231,1,-3,38
1959Q4,119.619,1,4.7843116918,0.0012463979,2,0,39
1960Q1,119.752,1,4.7854229376,0.0011112458,1,3,40
1960Q2,119.767,1,4.7855481886,0.000125251,3,4,41
1960Q3,120.393,1,4.7907613916,0.005213203,4,3,42
1960Q4,119.827,0,4.7860490359,-0.0047123557,4,3,43
1961Q1,119.245,0,4.7811802002,-0.0048688357,3,2,44
1961Q2,118.75,0,4.7770204429,-0.0041597573,3,1,45
1961Q3,118.384,0,4.7739335782,-0.0030868647,3,-2,46
1961Q4,118.436,1,4.7743727303,0.0004391521,1,-4,47
1962Q1,119.053,1,4.7795687721,0.0051960418,-1,-5,48
1962Q2,119.346,1,4.7820268374,0.0024580652,-2,-6,49
1962Q3,119.211,0,4.7808950323,-0.0011318051,-1,-7,50
1962Q4,118.671,0,4.7763549584,-0.0045400739,1,-6,51
1963Q1,118.602,0,4.7757733498,-0.0005816085,2,-6,52
1963Q2,118.603,1,4.7757817814,8.43152547336246E-006,1,-
6,53
1963Q3,118.134,0,4.7718195734,-0.003962208,2,-5,54
1963Q4,117.838,0,4.7693107998,-0.0025087735,1,-3,55
1964Q1,118.168,1,4.7721073407,0.0027965409,1,0,56
1964Q2,117.635,0,4.7675866102,-0.0045207305,1,3,57
1964Q3,117.614,0,4.767408076,-0.0001785342,1,4,58
1964Q4,117.831,1,4.7692513945,0.0018433185,1,3,59
1965Q1,117.854,1,4.7694465703,0.0001951758,0,3,60
1965Q2,117.4,0,4.7655869074,-0.0038596629,-1,1,61
1965Q3,117.2,0,4.7638818771,-0.0017050303,-2,-2,62
1965Q4,119.218,1,4.7809537499,0.0170718728,-1,-4,63
1966Q1,120.292,1,4.7899221204,0.0089683704,0,-5,64
1966Q2,120.781,1,4.7939789884,0.004056868,0,-7,65
1966Q3,121.337,1,4.7985717983,0.0045928099,1,-9,66
1966Q4,121.944,1,4.803561923,0.0049901247,0,-8,67
1967Q1,122.318,1,4.8066242109,0.003062288,0,-6,68
1967Q2,123.06,1,4.8126720413,0.0060478304,2,-5,69
1967Q3,123.142,1,4.813338161,0.0006661197,0,-3,70
1967Q4,123.716,1,4.8179886162,0.0046504552,-2,-1,71
1968Q1,124.483,1,4.8241691604,0.0061805442,-3,2,72
1968Q2,124.718,1,4.8260551887,0.0018860283,-3,2,73
1968Q3,125.31,1,4.8307906672,0.0047354785,-2,2,74
1968Q4,126.33,1,4.8388975308,0.0081068637,-1,1,75
1969Q1,126.653,1,4.8414510635,0.0025535327,-1,-1,76
1969Q2,127.065,1,4.8446987666,0.0032477031,2,-3,77
1969Q3,127.419,1,4.8474808686,0.002782102,4,-4,78
1969Q4,127.85,1,4.8508577017,0.0033768331,3,-6,79
1970Q1,127.276,0,4.8463579568,-0.004499745,1,-8,80
1970Q2,126.952,0,4.8438090623,-0.0025488945,0,-10,81
1970Q3,126.994,1,4.8441398412,0.000330779,-1,-11,82
1970Q4,127.019,1,4.8443366816,0.0001968403,-1,-11,83
1971Q1,127.084,1,4.8448482851,0.0005116036,1,-11,84
1971Q2,128.42,1,4.8553061424,0.0104578572,0,-10,85
1971Q3,130.187,1,4.8689718784,0.013665736,-2,-8,86
1971Q4,132.473,1,4.8863788511,0.0174069727,0,-5,87
1972Q1,134.277,1,4.8999048305,0.0135259794,2,-2,88
1972Q2,134.154,0,4.8989883938,-0.0009164367,4,-1,89
1972Q3,133.907,0,4.8971455291,-0.0018428646,3,-1,90
1972Q4,133.269,0,4.892369642,-0.0047758872,3,0,91
1973Q1,132.834,0,4.8891002284,-0.0032694136,2,2,92
1973Q2,132.749,0,4.8884601271,-0.0006401012,0,3,93
1973Q3,132.565,0,4.8870730912,-0.001387036,-2,3,94
1973Q4,131.631,0,4.8800025535,-0.0070705377,-3,3,95
1974Q1,130.866,0,4.8741738989,-0.0058286545,-4,4,96
1974Q2,130.625,0,4.8723306227,-0.0018432762,-2,3,97
1974Q3,130.443,0,4.8709363497,-0.001394273,-3,3,98
1974Q4,130.356,0,4.8702691692,-0.0006671805,-3,2,99
1975Q1,131.422,1,4.8784135197,0.0081443505,-3,3,100
1975Q2,132.848,1,4.8892056175,0.0107920978,-1,3,101
1975Q3,133.439,1,4.8936444446,0.0044388271,1,1,102
1975Q4,133.189,0,4.8917691721,-0.0018752725,2,0,103
1976Q1,132.842,0,4.8891604521,-0.00260872,3,0,104
1976Q2,133.215,1,4.8919643644,0.0028039123,2,0,105
1976Q3,133.503,1,4.8941239495,0.0021595851,0,-1,106
1976Q4,133.673,1,4.8953965191,0.0012725696,-3,-1,107
1977Q1,133.589,0,4.8947679224,-0.0006285967,-4,1,108
1977Q2,133.2,0,4.8918517581,-0.0029161643,-4,3,109
1977Q3,134.86,1,4.9042372033,0.0123854452,-3,4,110
1977Q4,136.589,1,4.9169764168,0.0127392135,-3,4,111
1978Q1,137.842,1,4.9261081017,0.0091316849,-1,4,112
1978Q2,138.742,1,4.9326160933,0.0065079916,-2,5,113
1978Q3,140.014,1,4.9417424176,0.0091263243,-2,4,114
1978Q4,141.226,1,4.9503614441,0.0086190265,-2,1,115
1979Q1,142.831,1,4.9616621132,0.0113006691,-1,0,116
1979Q2,144.374,1,4.9724071548,0.0107450417,0,-1,117
1979Q3,144.707,1,4.9747110084,0.0023038536,0,-2,118
1979Q4,145.289,1,4.9787248623,0.0040138539,-1,-3,119
1980Q1,146.187,1,4.9848866241,0.0061617618,-1,-3,120
1980Q2,147.723,1,4.9953388985,0.0104522744,1,-3,121
1980Q3,147.776,1,4.9956976137,0.0003587153,2,-3,122
1980Q4,147.79,1,4.9957923472,9.47334944507716E-005,0,-
2,123
1981Q1,147.878,1,4.9963876095,0.0005952623,-1,-3,124
1981Q2,147.896,1,4.9965093241,0.0001217146,-2,-5,125
1981Q3,148.366,1,4.999682194,0.0031728699,-1,-7,126
1981Q4,149.573,1,5.007784568,0.008102374,-1,-7,127
1982Q1,151.539,1,5.0208430176,0.0130584496,1,-9,128
1982Q2,153.586,1,5.0342606707,0.0134176532,2,-10,129
1982Q3,153.931,1,5.0365044501,0.0022437793,3,-11,130
1982Q4,153.554,0,5.0340522967,-0.0024521534,2,-12,131
1983Q1,153.495,0,5.0336679932,-0.0003843035,1,-11,132
1983Q2,154.071,1,5.0374135351,0.0037455419,0,-9,133
1983Q3,154.466,1,5.0399740074,0.0025604723,0,-7,134
1983Q4,154.719,1,5.0416105684,0.001636561,-1,-4,135
1984Q1,155.208,1,5.0447661528,0.0031555844,1,-2,136
1984Q2,155.975,1,5.049695738,0.0049295852,3,0,137
1984Q3,156.373,1,5.0522441789,0.0025484409,2,-1,138
1984Q4,155.818,0,5.0486886595,-0.0035555194,2,-1,139
1985Q1,155.7,0,5.0479310788,-0.0007575807,1,1,140
1985Q2,155.63,0,5.0474813952,-0.0004496836,-1,-1,141
1985Q3,155.494,0,5.0466071457,-0.0008742496,-1,-2,142
1985Q4,155.578,1,5.0471472136,0.0005400679,-1,-4,143
1986Q1,156.311,1,5.0518476124,0.0047003989,1,-5,144
1986Q2,156.641,1,5.0539565628,0.0021089504,2,-6,145
1986Q3,156.616,0,5.0537969495,-0.0001596134,3,-7,146
1986Q4,156,0,5.0498560072,-0.0039409422,2,-8,147
1987Q1,157.753,1,5.0610305187,0.0111745114,1,-9,148
1987Q2,158.249,1,5.0641697419,0.0031392232,0,-7,149
1987Q3,159.559,1,5.0724137598,0.0082440179,2,-5,150
1987Q4,159.7,1,5.0732970552,0.0008832954,0,-5,151
1988Q1,159.886,1,5.0744610613,0.0011640061,-1,-5,152
1988Q2,160.306,1,5.0770844887,0.0026234274,-3,-3,153
1988Q3,161.089,1,5.0819570073,0.0048725185,-2,-2,154
1988Q4,163.089,1,5.0942960641,0.0123390568,1,-2,155
1989Q1,163.219,1,5.0950928573,0.0007967933,2,-2,156
1989Q2,163.872,1,5.0990856353,0.003992778,-1,-1,157
1989Q3,165.176,1,5.1070115721,0.0079259368,-2,0,158
1989Q4,166.753,1,5.1165136756,0.0095021036,-4,2,159
1990Q1,167.868,1,5.1231779563,0.0066642806,-4,3,160
1990Q2,169.211,1,5.1311464569,0.0079685006,-3,5,161
1990Q3,170.815,1,5.1405810995,0.0094346426,-2,5,162
1990Q4,172.365,1,5.1496143214,0.0090332219,-1,5,163
1991Q1,173.121,1,5.153990772,0.0043764506,-1,4,164
1991Q2,174.023,1,5.1591874744,0.0051967024,-1,2,165
1991Q3,174.336,1,5.1609844716,0.0017969973,0,1,166
1991Q4,174.697,1,5.1630530447,0.0020685731,0,-1,167
1992Q1,175.033,1,5.1649745276,0.0019214829,1,-3,168
1992Q2,175.276,1,5.1663618744,0.0013873468,1,-4,169
1992Q3,175.771,1,5.1691820115,0.0028201371,2,-4,170
1992Q4,175.3,0,5.1664987919,-0.0026832195,4,-4,171
1993Q1,175.1,0,5.1653572393,-0.0011415526,3,-5,172
1993Q2,176.27,1,5.1720169104,0.0066596711,2,-6,173
1993Q3,176.941,1,5.1758163437,0.0037994332,1,-7,174
1993Q4,178.18,1,5.1827942753,0.0069779316,1,-7,175
1994Q1,178.812,1,5.1863349746,0.0035406993,0,-6,176
1994Q2,180.307,1,5.1946609536,0.0083259791,0,-5,177
1994Q3,181.249,1,5.1998717765,0.0052108228,0,-2,178
1994Q4,182.688,1,5.2077797798,0.0079080033,2,1,179
1995Q1,182.616,0,5.2073855875,-0.0003941922,3,3,180
1995Q2,182.612,0,5.2073636834,-2.19041256430685E-
005,3,4,181
1995Q3,182.5,0,5.206750173,-0.0006135104,2,6,182
1995Q4,182.972,1,5.2093331357,0.0025829626,1,7,183
1996Q1,183.095,1,5.2100051438,0.0006720082,-1,7,184
1996Q2,182.665,0,5.2076538742,-0.0023512697,0,7,185
1996Q3,182.577,0,5.2071720018,-0.0004818723,1,8,186
1996Q4,181.953,0,5.203748412,-0.0034235899,0,7,187
1997Q1,180.542,0,5.1959634377,-0.0077849743,0,6,188
1997Q2,181.094,1,5.1990162335,0.0030527958,3,3,189
1997Q3,180.509,0,5.195780638,-0.0032355954,4,1,190
1997Q4,179.751,0,5.1915725599,-0.0042080782,2,-1,191
1998Q1,178.861,0,5.1866089679,-0.004963592,-1,-2,192
1998Q2,178.356,0,5.183781553,-0.0028274149,-1,-3,193
1998Q3,178.837,1,5.1864747765,0.0026932235,-1,-3,194
1998Q4,179.803,1,5.1918618071,0.0053870306,0,0,195
1999Q1,180.35,1,5.1948994073,0.0030376002,0,1,196
1999Q2,180.223,0,5.194194973,-0.0007044344,1,1,197
1999Q3,179.9,0,5.192401141,-0.001793832,3,1,198
1999Q4,179.801,0,5.1918506838,-0.0005504572,3,2,199
2000Q1,178.835,0,5.186463593,-0.0053870907,3,2,200
2000Q2,178.923,1,5.1869555457,0.0004919527,0,1,201
2000Q3,178.099,0,5.1823395755,-0.0046159702,-2,0,202
2000Q4,177.656,0,5.1798490962,-0.0024904793,-4,-2,203
2001Q1,178.892,1,5.1867822718,0.0069331756,-4,0,204
2001Q2,180.05,1,5.1932345901,0.0064523183,-3,2,205
2001Q3,182.13,1,5.2047207178,0.0114861277,0,3,206
2001Q4,184.28,1,5.2164563401,0.0117356223,2,2,207
2002Q1,183.968,0,5.2147618294,-0.0016945106,4,3,208
2002Q2,183.4,0,5.2116695598,-0.0030922696,3,2,209
2002Q3,184.286,1,5.2164888987,0.0048193389,1,1,210
2002Q4,185.661,1,5.2239224301,0.0074335315,-2,2,211
2003Q1,187.837,1,5.2355745655,0.0116521353,-5,0,212
2003Q2,190.378,1,5.2490115695,0.013437004,-5,-2,213
2003Q3,192.91,1,5.2622237589,0.0132121894,-5,-2,214
2003Q4,196.648,1,5.2814153285,0.0191915696,-4,0,215
2004Q1,199.141,1,5.2940131165,0.0125977881,-3,2,216
2004Q2,202.191,1,5.3092127952,0.0151996787,-3,5,217
2004Q3,204.94,1,5.3227172534,0.0135044582,-2,6,218
2004Q4,207.714,1,5.3361621335,0.0134448801,-1,5,219
2005Q1,207.728,1,5.3362295316,6.73980965109067E-
005,0,3,220
2005Q2,207.686,0,5.3360273237,-0.0002022079,0,1,221
2005Q3,208.464,1,5.3397663645,0.0037390408,-2,-1,222
2005Q4,209.198,1,5.3432811719,0.0035148075,-2,-2,223
2006Q1,210.887,1,5.351322445,0.0080412731,-2,-5,224
2006Q2,212.95,1,5.3610573964,0.0097349514,-1,-5,225
2006Q3,214.403,1,5.3678574216,0.0068000253,-1,-6,226
2006Q4,216.141,1,5.3759309725,0.0080735509,-1,-6,227
2007Q1,218.578,1,5.3871429302,0.0112119577,0,-5,228
2007Q2,220.907,1,5.3977417985,0.0105988682,-1,-4,229
2007Q3,223.074,1,5.407503555,0.0097617565,-1,-1,230
2007Q4,224.709,1,5.4148062318,0.0073026768,0,2,231
2008Q1,224.436,0,5.4135905886,-0.0012156432,1,3,232
2008Q2,224.113,0,5.4121503889,-0.0014401996,0,4,233
2008Q3,223.984,0,5.4115746207,-0.0005757682,0,4,234
2008Q4,224.124,1,5.4121994701,0.0006248494,2,2,235
2009Q1,224.852,1,5.415442408,0.0032429379,3,0,236
2009Q2,225.347,1,5.4176414364,0.0021990284,2,0,237
2009Q3,225.792,1,5.4196142215,0.0019727851,3,-1,238
2009Q4,226.089,1,5.4209287271,0.0013145056,5,-1,239
2010Q1,226.994,1,5.4249235854,0.0039948584,4,-2,240
2010Q2,226.03,0,5.4206677338,-0.0042558516,4,-3,241
2010Q3,225.9,0,5.4200924235,-0.0005753104,5,-3,242
2010Q4,225.856,0,5.4198976281,-0.0001947954,5,-2,243
2011Q1,225.929,1,5.4202207906,0.0003231626,7,-1,244
2011Q2,224.068,0,5.4119495772,-0.0082712134,7,1,245
2011Q3,222.164,0,5.4034158479,-0.0085337293,5,1,246
2011Q4,221.734,0,5.4014784653,-0.0019373826,4,2,247
2012Q1,222.325,1,5.4041402753,0.00266181,2,2,248
2012Q2,222.255,0,5.4038253713,-0.000314904,0,3,249
2012Q3,223.295,1,5.4084937672,0.0046683959,-1,4,250
2012Q4,224.934,1,5.4158070258,0.0073132586,0,6,251
2013Q1,225.81,1,5.4196939377,0.0038869119,0,5,252
2013Q2,226.353,1,5.4220957276,0.0024017899,-1,4,253
2013Q3,227.306,1,5.4262971273,0.0042013997,-1,2,254
2013Q4,226.913,0,5.4245666841,-0.0017304432,0,1,255
2014Q1,226.55,0,5.4229656711,-0.001601013,-1,1,256
2014Q2,227.516,1,5.4272205656,0.0042548945,-2,0,257
2014Q3,229.343,1,5.4352186995,0.007998134,-2,-1,258
2014Q4,231.583,1,5.4449383406,0.009719641,-2,-1,259
2015Q1,234.097,1,5.4557355594,0.0107972188,-1,0,260
2015Q2,236.829,1,5.4673383617,0.0116028023,2,2,261
2015Q3,237.497,1,5.4701549918,0.0028166301,3,4,262
2015Q4,237.098,0,5.4684735578,-0.001681434,2,5,263
Open Course Library ENVS&100 Learning Activities
READINGS FOR Module VI: The Atmosphere: Air, Weather
and Climate
Week 2 of Module VI: Climate & Climate Change/Global
Warming
The Habitable Planet Textbook
http://www.learner.org/courses/envsci/
• Unit 12 : Earth's Changing Climate
Earth's climate is a sensitive system that is subject to dramatic
shifts over varying time scales. Today human activities
are altering the climate system by increasing concentrations of
heat-trapping greenhouse gases in the atmosphere,
which raises global temperatures. In this unit, examine the
science behind global climate change and explore its
potential impacts on natural ecosystems and human societies.
1. Introduction
2. Tipping Earth's Energy Balance
3. Climate Change: What the Past Tells Us
4. Past Warming: The Eocene Epoch
5. Global Cooling: The Pleistocene Epoch
6. Present Warming and the Role of CO2
7. Observed Impacts of Climate Change
8. Other Potential Near-Term Impacts
9. Major Laws and Treaties
10. Further Reading
IPCC's Climate Change 2014 Synthesis Report
And read all 3 of these:
The 10 Things You Need to Know from the New IPCC Climate
Report
http://grist.org/climate-energy/the-10-things-you-need-to-know-
from-the-new-ipcc-climate-report/
or a PDF version:
http://scidiv.bellevuecollege.edu/gj/The10ThingsIPCC2014.pdf
and
Certainty vs. Uncertainty: Understanding Scientific Terms about
Climate Change
http://www.ucsusa.org/global_warming/science_and_impacts/sci
ence/certainty-vs-uncertainty.html
or a PDF version:
http://scidiv.bellevuecollege.edu/gj/CertaintyVsUncertainty.pdf
and
IPCC Climate Change 2014 Synthesis Report – Summary for
Policymakers
http://ipcc.ch/pdf/assessment-
report/ar5/syr/AR5_SYR_FINAL_SPM.pdf
or:
http://scidiv.bellevuecollege.edu/gj/IPCC2014SynthesisSPM.pdf
NOTE:
For additional information from reliable, credible, scientific
sources,
please see my Climate Change page:
http://scidiv.bellevuecollege.edu/gj/ClimateChange.html
For example, there are high-quality, readable publications that
address the most common "climate myths".
I also include links to documents referred to in the film An
Inconvenient Truth (which you will be watching for this class).
http://www.learner.org/courses/envsci/
http://grist.org/climate-energy/the-10-things-you-need-to-know-
from-the-new-ipcc-climate-report/
http://scidiv.bellevuecollege.edu/gj/the10thingsipcc2014.pdf
http://www.ucsusa.org/global_warming/science_and_impacts/sci
ence/certainty-vs-uncertainty.html
http://scidiv.bellevuecollege.edu/gj/certaintyvsuncertainty.pdf
http://ipcc.ch/pdf/assessment-
report/ar5/syr/AR5_SYR_FINAL_SPM.pdf
http://scidiv.bellevuecollege.edu/gj/ipcc2014synthesisspm.pdf
http://scidiv.bellevuecollege.edu/gj/climatechange.html
Gwyneth Jones's
Global Climate Change
Links & Resources List
This last modified: Sunday, 6/15/14
Please do send additional suggestions - I will keep expanding
this list
How do you know what you know?...And how will you know if
you're wrong?
What do you (think you) know about global climate change?...
Pre-Learning SURVEYS:
Which of the "6 Americas" would you say you are? -- Alarmed,
Concerned, Cautious,
Disengaged, Doubtful, Dismissive (Yale U & George Mason U)
-- Added 2/4/14
Survey #1: Global Warming/Climate Change
Survey #2: Science, Economics, Government
Denialism: What Is It And How Should Scientists Respond?
(Diethelm & McKee, 2009) - .pdf --
Added 2/4/14
NOTE: If you are not already in one of my classes and you
decide to take one or both of these
surveys -- or a related one not listed below -- I would be very
interested in a copy of your results! :-)
~GJ
Pre-Learning "FACT or OPINION?" Scientific Method Activity
& Logical Fallacies:
-- Added 2/4/14
A fact is something that is true and is supported by evidence.
An opinion is something
you believe or feel to be true and is open to debate. A logical
fallacy is a flaw in
reasoning.
Grades 3-12+: Full document .doc or .pdf (17 pages) - Examples
given are: Trees, groundhogs, plate tectonics,
global climate change
Or just the handout (5 page .pdf) or extra images (1 page .pdf)
or fallacies bkgd (11 page .pdf)
PreK-Grade 5: Coloring & Drawing .doc or .pdf (5 pages)
NOTE: This is adaptable for all ages, PreK through college.
(I've found it interesting to hear my 3- and 6-
year-olds discussing what is fact vs. what is opinion.) If you use
or adapt it, I would be very interested in
your feedback. :-) ~GJ
Climate Change Evidence, Impacts, and Choices: Answers to
Common Questions
about the Science of Climate Change ("Responding to climate
change is about making choices in the face
of risk." ~NRC)
Part I. Evidence for Human-Caused Climate Change
How do we know that Earth has warmed?
How do we know that greenhouse gases lead to warming?
How do we know that humans are causing greenhouse gases to
increase?
How much are human activities heating Earth?
How do we know the current warming trend isn’t caused by the
Sun?
How do we know the current warming trend isn’t caused by
natural cycles?
What other climate changes and impacts have been observed?
The Ice Ages
Part II. Warming, Climate Changes, and Impacts in the 21st
Century and Beyond
How do scientists project future climate change?
How will temperatures be affected?
How is precipitation expected to change?
How will sea ice and snow be affected?
How will coastlines be affected?
How will ecosystems be affected?
How will agriculture and food production be affected?
Part III. Making Climate Choices
How does science inform emissions choices?
What are the choices for reducing greenhouse gas emissions?
What are the choices for preparing for the impacts of climate
change?
Why take action if there are still uncertainties about the risks of
climate change?
Conclusion
Climate Proxies Lecture (how do scientists know about past
climate?)
Climate Change Extra Credit Lab (with thanks to Kathryn
Hoppe! [GRCC])
Climate Hot Map: Global Warming Effects Around the World
(Union of Concerned
Scientists [UCS])
Resources About Global Warming and Climate Change
(excellent list by University of Arizona's
Robert Strom [UA])
Ethics and Global Climate Change (Nature) -- Added 5/16/14
The Keeling Curve (UCSD) -- Added 6/15/14
Good starting points...
Latest Climate Trends (TED Talk)
Climate Change: A Summary of the Science (The Royal
Society–UK)
Climate Change Controversies: A Simple Guide (The Royal
Society–UK)
Back to Basics: FAQs About Global Warming and Climate
Change (US Environmental
Protection Agency [EPA])
Climate Change: Science and Impacts Fact Sheet (University of
Michigan's Center for Sustainable
Systems)
Climate Change: Policy and Mitigation Fact Sheet (University
of Michigan's Center for
Sustainable Systems)
Global Climate Change Indicators (NOAA National Climatic
Data Center [NCDC])
Global Warming Basics (Pew Center on Global Climate Change
[Pew Center/C2ES])
Certainty vs. Uncertainty: Understanding Scientific Terms
About Climate Change
(Union of Concerned Scientists)
Atlas of Population and Environment: Climate Change - and
Background Sources
(American Association for the Advancement of Science
[AAAS])
Climate Change: Oh, It's Real. (8 TED Talks) -- Added 1/10/14
IPCC 4: Synthesis Report (2007--Report 5 due in 2014) and
IPCC 5: Summary for
Policymakers (newly published; see orange text boxes & Figure
SPM.6) and IPCC Report 5: The
Physical Science Basis (newly published) (Intergovernmental
Panel on Climate Change [IPCC]) -- Updated
1/10/14
The following terms are by the IPCC to indicate the assessed
likelihood:
Term* Likelihood of the outcome
Virtually certain 99–100% probability
Very likely 90–100% probability
Likely 66–100% probability
About as likely as not 33–66% probability
Unlikely 0–33% probability
Very unlikely 0–10% probability
Exceptionally unlikely 0–1% probability
* Additional terms (extremely likely: 95–100% probability,
more likely
than not: >50–100% probability, and extremely unlikely: 0–5%
probability) may also be used when appropriate.
Books & films, podcasts & blogs...
An Inconvenient Truth (film - "AIT")
Bellevue College Library Media Center - 3 out of 3 copies
currently available
King County Library System - 19 out of 25 DVDs currently
available
YouTube Paramount Pictures - streaming
Amazon.Com - streaming or DVD, currently $0.17 to $9.99
The 11th Hour (film)
The One Degree Factor (episode of Strange Days on Planet
Earth)
A Sea Change (film)
Merchants of Doubt (book)
Doubt Is Their Product (book)
Advancing the Science of Climate Change (book)
Story of Stuff (short film)
Pew Center/C2ES PodcastsGuardian (UK) Climate Change
Podcasts
NPR Climate Connections Podcasts
Other resources...
Washington state...
Climate Change in Washington State (Washington State
Department of Ecology [ECY])
Climate Change and Its Effects on Puget Sound (UW's Climate
Impacts Group / Puget Sound
Action Team [PSAT])
Climate Change and Public Health in Washington - or Executive
Summary
(Collaborative on Health and the Environment–Washington
(State) [CHE-Wa])
Climate Change in the Northwest: Implications for Our
Landscapes, Waters,
and Communities (NWCAR) -- Added 1/10/14
Introduction: The Changing Northwest (Chapter 1)
1 Regional Introduction: The Physical, Ecological, and Social
Template -- Landscape and Climate;
Ecosystems, Species, and Habitats; Population and Economy;
Assessing the Economic Impacts of
Climate Change; Northwest Tribes; A Region Shaped by Water
2 A Focus on Risk
3 Looking Toward the Future -- Common Themes in a
Changing Climate; Climate Change Adaptation in
the Northwest
4 Conclusion
Climate: Variability and Change in the Past and the Future
(Chapter 2)
1 Understanding Global and Regional Climate Change
2 Past Changes in Northwest Climate: Means
3 Past Changes in Northwest Climate: Extremes
4 Projected Future Changes in the Northwest -- Mean
Temperature and Precipitation; Extreme
Temperature and Precipitation
Water Resources: Implications of Changes in Temperature and
Precipitation (Chapter 3)
1 Introduction
2 Key Impacts -- Snowpack, Stream Flow, and Reservoir
Operations; Water Quality
3 Consequences for Specific Sectors -- Irrigated Agriculture;
Hydropower; Floodplain Infrastructure;
Municipal Drinking Water Supplies; Freshwater Aquatic
Ecosystems; A Salmon Runs Through It;
Recreation
4 Adaptation
5 Knowledge Gaps and Research Needs
Coasts: Complex Changes Affecting the Northwest's Diverse
Shorelines (Chapter 4)
1 Introduction
2 Sea Level Rise -- Effects of Tectonic Motion and Other Local
and Regional Factors; Combined Impacts
of Sea Level Rise, Coastal Storms, and ENSO Events
3 Ocean Acidification
4 Ocean Temperature
5 Consequences for Coastal and Marine Natural Systems --
Habitat Loss; Changes in Species’ Ranges and
Abundances; Altered Ecological Processes and Changes in the
Marine Food Web
6 Consequences for Coastal Communities and the Built
Environment -- Coastal Transportation
Infrastructure; Coastal Communities; Coping with Sea Level
Rise Risks Today and Tomorrow in
Olympia, Washington
7 Economic Consequences of Coastal Impacts -- Marine
Fisheries; Other Economic Impacts
8 Adaptation -- Nisqually Delta Case Study: Restoring Salmon
and Wildlife Habitat in Puget Sound;
Neskowin, Oregon, Case Study: Organizing to Cope with an
Eroding Coastline
9 Knowledge Gaps and Research Needs
Ecosystems: Vegetation, Disturbance, and Economics (Chapter
5)
1 Introduction
2 Direct Climate Sensitivities: Changes in Distribution,
Abundance, and Function of Plant Communities
and Species -- Changes in Non-forest Systems: High-Elevation
Habitats, Grasslands, and Shrublands
3 Indirect Effects of Climate Change through Forest
Disturbances -- Wildfires; Forest Insects; Forest
Diseases; Disturbance Interactions and Cumulative Effects
4 Implications for Economics and Natural Systems -- Economic
Consequences (Timber Market Effects;
Economic Effects of Disturbance; Non-Timber Market Effects;
Valuing Ecosystem Services);
Consequences for Natural Systems
5 Knowledge Gaps and Research Needs
6 Adaptive Capacity and Implications for Vulnerability
Agriculture: Impacts, Adaptation, and Mitigation (Chapter 6)
1 Introduction
2 Environmental, Economic, and Social Importance
3 Vulnerabilities to Projected Climate Change
4 Potential Impacts of Climate Change on Selected Subsectors -
- Annual Crops (Dryland Cereal Cropping
Systems; Irrigated Annual Cropping Systems); Perennial Crops
(Tree Fruit and Small Fruit; Wine
Grapes and Wines); Animal Production Systems (Rangeland;
Pasture and Forage; Dairy and Other
Confined Animal Operations); Other Northwest Agriculture
Subsectors
5 Potential to Adapt to Changing Climates -- Mitigating
Greenhouse Gas Emissions from Agricultural
Systems
6 Knowledge Gaps and Research Needs
Human Health: Impacts and Adaptation (Chapter 7)
1 Introduction
2 Key Impacts of Climate Changes on Human Health --
Temperature; Extreme Weather Events (Storms
and Flooding; Drought; Wildfires); Aerobiological Allergens
and Air Pollution; Infectious Diseases
(Vector-Borne; Water-Borne; Fungal); Harmful Algal Blooms;
Mental Health; Potential Health Costs
3 Northwest Adaptation Activities
4 Knowledge Gaps and Research Needs
Northwest Tribes: Cultural Impacts and Adaptation Responses
(Chapter 8)
1 Introduction
2 Tribal Culture and Sovereignty
3 Climatic Changes and Effects: Implications for Tribes in the
Northwest -- Water Resources and
Availability;Water Temperature and Chemistry; Case Study:
The Effect of Climate Change on Baseflow
Support in the Nooksack River Basin and Implications on
Pacific Salmon Species Protection and
Recovery; Sea Level Rise; Forests and Wildfire
4 Tribal Initiatives in the Northwest -- Climate Change Impacts
and Vulnerability Assessments; Climate
Change Adaptation Plans; Ecosystem-Based Approaches to
Addressing Climate Change; Research and
Education; Reducing Greenhouse Gas Emissions
5 Tribal Research and Capacity Needs and Considerations for
the Future -- Tribal Research and Capacity
Needs; Considerations for the Future
Human health...
A Human Health Perspective on Climate Change - or Executive
Summary
(Environmental Health Perspectives / National Institute of
Environmental Health Sciences [EHP/NIEHS])
Climate Change and Your Health: Rising Temperatures,
Worsening Ozone
Pollution - and Technical Appendix (Union of Concerned
Scientists [UCS])
Natural world...
State of the Nation's Ecosystems 2008: Focus on Climate
Change (Heinz Center for
Science, Economics, and the Environment)
The Darkening Sea: What Carbon Emissions Are Doing to the
Ocean (Elizabeth
Kolbert in The New Yorker)
Process of science...
Past Climates on Earth (University of Michigan)
NASA Climate Research Groups (NASA)
The Foundation of Climate Science: Testimony to Congress
(Testimony of James J.
McCarthy, Alexander Agassiz Professor of Biological
Oceanography, Harvard University, before The Select
Committee on Energy Independence and Global Warming, U.S.
House of Representatives)
State of the Climate in 2010: Chapter 2--Climate Indicators
(NOAA National Climatic
Data Center [NCDC])
Curriculum...
Climate Change: Connections and
Solution
s (High School Unit) - and Middle
School Unit (Facing the Future)
Other resources...
NPR Climate Connections Special Series (National Public Radio
[NPR])
Fact Sheets & Quick Reference Guides (University of
Michigan's Center for Sustainable Systems),
e.g.:
Social Development IndicatorsCarbon Footprints
U.S. Environmental Footprint
Ethics and psychology...
Ethics and Global Climate Change (Nature) -- Added 5/16/14
Are Climate Sceptics More Likely to be Conspiracy Theorists?
(& cognitive study in press) ("The
findings provide yet more evidence that a rejection of climate
science has more to with ideological views than
scientific literacy")
Political interference...
NC Considers Making Sea Level Rise Illegal (Scientific
American Plugged-In)
Political Interference with Climate Change Science under the
Bush Administration (U.S.
House of Representatives, Committee on Oversight and
Government Reform)
White House Deletion of Large Sections of Testimony on Public
Health Impacts of Global
Warming by the Director of the CDC (U.S. Senate)
Bush Aide Softened Greenhouse Gas Links to Global Warming
and The Handwritten
Changes (shown in "AIT") (Andrew Revkin in The New York
Times)
Confidential Memo: 2012 Heartland Climate Strategy and
Article (Forbes)
To contact me, please email [email protected]
This website is copyrighted © 2012-2014, Gwyneth Jones, and
may not be reproduced
without written permission.
BC Science Division | BC Science Advising | BC Science Study
Center
GJ's Home Page | BC Home Page | Google Search Engine
quote>
5/22/19, 11(52 AM
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4684735578-0.00168143425263
MOOC Econometrics
Case project
Notes:
• See website for how to submit your answers and how feedback
is organized.
• This exercise uses the datafile Case GDP and requires a
computer.
• The dataset Case GDP is available on the website.
Goals and skills being used:
• Get hands-on experience with applying econometric methods.
• Apply techniques and interpret results related to discrete
choice models.
• Apply techniques and interpret results using time series
models.
Background
A good understanding of the macroeconomic cycle with
alternating recession and expansion periods (also known as
the business cycle) is important for various decision makers.
Macroeconomic policy is often based on predictions
of this cycle, and such predictions can influence investment
decisions of large companies. Central banks and other
institutions often publish so-called leading indicators that are
helpful to predict the state of the economy. These
indicators are based on macroeconomic series like job
formation, interest rates, credit, demand, and supply.
In this case project you will predict GDP growth by using
quarterly data on a hypothetical economy from 1950
quarter 1 to 2015 quarter 4. The data set contains the GDP of
the economy and two leading indicators li1 and li2.
In order to evaluate the predictive performance of econometric
models, you need to split the data in two parts. As
estimation sample you take the period from 1951 to 2010 (240
observations), and as evaluation sample you take the
period from 2011 to 2015 (20 observations). The first year of
data (1950) is used only to create lags of variables.
The project consists of two parts. In the first part (a-c) you use
logit models to predict whether the economic
situation improves or declines, and in the second part (d-g) you
use time series models to predict the size of the
growth rate of the economy.
Data
The data file Case GDP contains the following variables:
• DATE: Date of the observation;
• GDP: Gross Domestic Product of the economy;
• GDPIMPR: dummy variable indicating whether the GDP has
increased (1) or decreased (0);
• LOGGDP: Log of Gross Domestic Product;
• GrowthRate: Relative growth of the economy: GrowthRatet =
log(GDPt ) − log(GDPt−1);
• li1: First leading indicator;
• li2: Second leading indicator;
• T: Linear trend (where the first observation, for 1950 quarter
1, is defined as 0).
Page 1 of 2
(a) The table below summarizes the outcomes of four logit
models to explain the direction of economic development
(GDPIMPR) for the period 1951 to 2010. Perform three
Likelihood Ratio tests to prove both the individual and
the joint significance of the 1-quarter lags of li1 and li2, where
the alternative hypothesis is always the model
with both indicators included.
Dependent variable: GDPIMPR
Sample size: 240
Variable Coeff Coeff Coeff Coeff
Constant 0.693 0.812 0.636 0.729
li1(-1) x −0.340 x −0.372
li2(-1) x x −0.087 −0.120
Log likelihood −152.763 −139.747 −149.521 −134.178
(b) It could be that the leading indicators lead the economy by
more than 1 quarter. The table below summarizes
outcomes of four logit models that differ in the lags of the
indicators. For what reason can we use McFadden
R2 to select the best lag structure among these four models?
Compute the four values of McFadden R2 (with
four decimals) and conclude which model is optimal according
to this criterion.
Dependent variable: GDPIMPR
Sample size: 240
1 2 3 4
Variable Coeff Coeff Coeff Coeff
Constant 0.729 0.731 0.746 0.749
li1(-1) −0.372 −0.366 x x
li1(-2) x x −0.429 −0.421
li2(-1) −0.120 x −0.131 x
li2(-2) x −0.121 x −0.129
Log likelihood −134.178 −134.126 −130.346 −130.461
(c) Use the logit model 3 of part (b) (with li1(-2) and li2(-1)) to
calculate the predicted probability of economic
growth for each of the 20 quarters of the evaluation sample.
Assess the predictive performance by means of
the prediction-realization table and the hit rate, using a cut-off
value of 0.5. Evaluate the outcomes.
(d) Perform the Augmented Dickey-Fuller test on LOGGDP to
confirm that this variable is not stationary. Use only
the data in the estimation sample and include constant, trend,
and a single lag in the test equation (L = 1,
see Lecture 6.4). Present the coefficients of the test regression
and the relevant test statistic, and state your
conclusion.
(e) Consider the following model: GrowthRatet = α +
ρGrowthRatet−1 + β1li1t−k1 + β2li2t−k2 + εt . Here the
numbers k1 and k2 denote the lag orders of the leading
indicators. Estimate four versions of this model on the
estimation sample from 1951 to 2010, by setting k1 and k2
equal to either 1 or 2. Show that the model with
k1 = k2 = 1 gives the largest value for R2, and present the four
coefficients of this model in six decimals.
(f ) Perform the Breusch-Godfrey test for first-order residual
serial correlation for the model in part (e) with k1 =
k2 = 1. Does the test outcome signal misspecification of the
model?
(g) Use the model in part (e) with k1 = k2 = 1 to generate a set
of twenty one-step-ahead predictions for the
growth rates in each quarter of the period 2011 to 2015. Note
that the required values of the lagged leading
indicators are available for each of these forecasts. Calculate
the root mean squared error of these forecasts
and present a time series graph of the predictions and the actual
growth rates.
Page 2 of 2
Date,GDP,GDPIMPR,LOGGDP,GrowthRate,li1,li2,T1950Q1,94.3,NA,4.546.docx

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