Hi all,
Could you please help how to fill a quarterly series backward by using the annual growth rate? I have an annual growth rate for quarterly data and the level value in the last observation year. So I want to extend the series backward by using the growth rate data.
Here is the crude code I tried to do, but it says "is not a valid command name"
Here is the data. Thank you for your help.
Could you please help how to fill a quarterly series backward by using the annual growth rate? I have an annual growth rate for quarterly data and the level value in the last observation year. So I want to extend the series backward by using the growth rate data.
Here is the crude code I tried to do, but it says "is not a valid command name"
Code:
forv i = 0/79 {
replace gdpreal = gdpreal[_N-`i']/((gdpgrw[_N-`i']/100)+1) in [_N-4-`i']
}
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input float(quarter gdpgrw gdpreal) 160 4.1044025 . 161 5.144167 . 162 4.0468783 . 163 6.406423 . 164 3.960815 . 165 5.056377 . 166 3.6153526 . 167 1.6090896 . 168 2.9461794 . 169 4.1493363 . 170 5.09661 . 171 4.1578083 . 172 4.67788 . 173 4.338862 . 174 4.2635226 . 175 4.4931536 . 176 4.0991983 . 177 4.3877597 . 178 4.498116 . 179 7.158496 . 180 5.964968 . 181 5.871259 . 182 5.838213 . 183 5.106621 . 184 5.127187 . 185 4.933375 . 186 5.864007 . 187 6.056419 . 188 6.055137 . 189 6.726797 . 190 6.744428 . 191 5.842161 . 192 6.218357 . 193 6.302651 . 194 6.254865 . 195 5.282507 . 196 4.520359 . 197 4.135784 . 198 4.2692556 . 199 5.600275 . 200 5.989302 . 201 6.294885 . 202 5.80689 . 203 6.80662 . 204 6.458018 . 205 6.421766 . 206 6.25211 . 207 6.189622 . 208 6.217451 . 209 6.273388 . 210 6.073948 . 211 6.028776 . 212 5.76382 . 213 5.649806 . 214 5.552942 . 215 5.618915 . 216 5.136 . 217 5.002102 . 218 4.965033 . 219 5.036791 . 220 4.831236 . 221 4.7403145 . 222 4.779496 . 223 5.152625 . 224 4.943421 . 225 5.21465 . 226 5.033505 . 227 4.938896 . 228 5.008361 . 229 5.012552 . 230 5.064764 . 231 5.189744 . 232 5.06912 . 233 5.269417 . 234 5.173195 . 235 5.181314 . 236 5.061957 . 237 5.052571 . 238 5.009831 . 239 4.955665 . 240 2.9656055 2703033 241 -5.323691 2589789 242 -3.488022 2720492 243 -2.1665256 2709741 end format %tq quarter

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