Return ifo expectation data
Usage
ifo_expectation(type = c("export", "employment"))Value
A data.frame() containing the monthly ifo expectation time series.
Examples
# \donttest{
ifo_expectation("export")
#> yearmonth expecation
#> 1 1991-02-01 -5.94689
#> 2 1991-03-01 -8.09049
#> 3 1991-04-01 -4.92426
#> 4 1991-05-01 -4.78301
#> 5 1991-06-01 -3.19577
#> 6 1991-07-01 -0.43986
#> 7 1991-08-01 -0.88639
#> 8 1991-09-01 1.54076
#> 9 1991-10-01 3.05830
#> 10 1991-11-01 3.83214
#> 11 1991-12-01 1.78352
#> 12 1992-01-01 -0.12437
#> 13 1992-02-01 -2.20477
#> 14 1992-03-01 0.06346
#> 15 1992-04-01 -0.84009
#> 16 1992-05-01 0.34954
#> 17 1992-06-01 3.11261
#> 18 1992-07-01 0.77512
#> 19 1992-08-01 -5.81419
#> 20 1992-09-01 -10.56294
#> 21 1992-10-01 -16.96137
#> 22 1992-11-01 -17.38542
#> 23 1992-12-01 -14.55438
#> 24 1993-01-01 -10.74838
#> 25 1993-02-01 -15.33948
#> 26 1993-03-01 -11.71238
#> 27 1993-04-01 -13.46498
#> 28 1993-05-01 -13.46440
#> 29 1993-06-01 -9.36767
#> 30 1993-07-01 -9.86777
#> 31 1993-08-01 -5.78211
#> 32 1993-09-01 -4.79978
#> 33 1993-10-01 -2.89587
#> 34 1993-11-01 -1.72306
#> 35 1993-12-01 1.02660
#> 36 1994-01-01 5.37814
#> 37 1994-02-01 9.41427
#> 38 1994-03-01 9.52677
#> 39 1994-04-01 15.11484
#> 40 1994-05-01 14.01226
#> 41 1994-06-01 12.26284
#> 42 1994-07-01 13.49145
#> 43 1994-08-01 12.09982
#> 44 1994-09-01 15.80979
#> 45 1994-10-01 16.07925
#> 46 1994-11-01 17.94347
#> 47 1994-12-01 21.67205
#> 48 1995-01-01 13.68000
#> 49 1995-02-01 12.18126
#> 50 1995-03-01 8.76437
#> 51 1995-04-01 3.67024
#> 52 1995-05-01 6.34087
#> 53 1995-06-01 6.87584
#> 54 1995-07-01 6.61241
#> 55 1995-08-01 8.11573
#> 56 1995-09-01 6.51450
#> 57 1995-10-01 6.14878
#> 58 1995-11-01 4.43243
#> 59 1995-12-01 7.35823
#> 60 1996-01-01 3.31558
#> 61 1996-02-01 2.96598
#> 62 1996-03-01 2.91326
#> 63 1996-04-01 3.26714
#> 64 1996-05-01 5.82813
#> 65 1996-06-01 5.20857
#> 66 1996-07-01 6.43534
#> 67 1996-08-01 6.91078
#> 68 1996-09-01 9.33612
#> 69 1996-10-01 9.13067
#> 70 1996-11-01 12.20557
#> 71 1996-12-01 11.14877
#> 72 1997-01-01 15.29426
#> 73 1997-02-01 14.03853
#> 74 1997-03-01 14.00562
#> 75 1997-04-01 13.66890
#> 76 1997-05-01 10.01291
#> 77 1997-06-01 13.15395
#> 78 1997-07-01 14.08800
#> 79 1997-08-01 14.75447
#> 80 1997-09-01 18.25226
#> 81 1997-10-01 15.32423
#> 82 1997-11-01 13.28041
#> 83 1997-12-01 13.20662
#> 84 1998-01-01 13.14821
#> 85 1998-02-01 13.05757
#> 86 1998-03-01 13.94405
#> 87 1998-04-01 15.93771
#> 88 1998-05-01 10.27225
#> 89 1998-06-01 8.94596
#> 90 1998-07-01 6.75516
#> 91 1998-08-01 3.49497
#> 92 1998-09-01 0.13055
#> 93 1998-10-01 -3.58448
#> 94 1998-11-01 -0.11362
#> 95 1998-12-01 -1.64062
#> 96 1999-01-01 -3.87083
#> 97 1999-02-01 -7.02258
#> 98 1999-03-01 -1.04679
#> 99 1999-04-01 -2.21722
#> 100 1999-05-01 0.18549
#> 101 1999-06-01 5.75296
#> 102 1999-07-01 4.57539
#> 103 1999-08-01 6.59240
#> 104 1999-09-01 6.99070
#> 105 1999-10-01 9.53943
#> 106 1999-11-01 10.47317
#> 107 1999-12-01 11.41298
#> 108 2000-01-01 12.03031
#> 109 2000-02-01 11.76634
#> 110 2000-03-01 10.09181
#> 111 2000-04-01 13.57325
#> 112 2000-05-01 13.05910
#> 113 2000-06-01 14.74954
#> 114 2000-07-01 13.68527
#> 115 2000-08-01 14.71672
#> 116 2000-09-01 15.63585
#> 117 2000-10-01 13.41870
#> 118 2000-11-01 13.01802
#> 119 2000-12-01 11.35093
#> 120 2001-01-01 12.16108
#> 121 2001-02-01 9.70602
#> 122 2001-03-01 6.29700
#> 123 2001-04-01 3.15985
#> 124 2001-05-01 0.71398
#> 125 2001-06-01 -1.07507
#> 126 2001-07-01 -0.92818
#> 127 2001-08-01 1.88088
#> 128 2001-09-01 -4.92673
#> 129 2001-10-01 -9.75972
#> 130 2001-11-01 -5.63731
#> 131 2001-12-01 -2.54639
#> 132 2002-01-01 -5.56424
#> 133 2002-02-01 0.56642
#> 134 2002-03-01 3.33821
#> 135 2002-04-01 8.68010
#> 136 2002-05-01 8.41299
#> 137 2002-06-01 8.37630
#> 138 2002-07-01 8.57192
#> 139 2002-08-01 6.98142
#> 140 2002-09-01 6.41118
#> 141 2002-10-01 6.91718
#> 142 2002-11-01 5.56959
#> 143 2002-12-01 6.68043
#> 144 2003-01-01 7.03179
#> 145 2003-02-01 4.61891
#> 146 2003-03-01 2.09723
#> 147 2003-04-01 2.07236
#> 148 2003-05-01 2.11374
#> 149 2003-06-01 2.64182
#> 150 2003-07-01 2.10013
#> 151 2003-08-01 4.02057
#> 152 2003-09-01 7.97426
#> 153 2003-10-01 12.67250
#> 154 2003-11-01 12.53673
#> 155 2003-12-01 10.93488
#> 156 2004-01-01 10.64653
#> 157 2004-02-01 11.87815
#> 158 2004-03-01 13.86352
#> 159 2004-04-01 14.71470
#> 160 2004-05-01 15.79266
#> 161 2004-06-01 15.58723
#> 162 2004-07-01 17.46919
#> 163 2004-08-01 19.00812
#> 164 2004-09-01 17.50354
#> 165 2004-10-01 17.50843
#> 166 2004-11-01 15.36665
#> 167 2004-12-01 15.34545
#> 168 2005-01-01 13.27925
#> 169 2005-02-01 16.56676
#> 170 2005-03-01 15.72250
#> 171 2005-04-01 16.61648
#> 172 2005-05-01 11.41935
#> 173 2005-06-01 13.07438
#> 174 2005-07-01 14.29203
#> 175 2005-08-01 14.81229
#> 176 2005-09-01 16.10561
#> 177 2005-10-01 16.26583
#> 178 2005-11-01 17.51476
#> 179 2005-12-01 18.96561
#> 180 2006-01-01 23.94674
#> 181 2006-02-01 22.43556
#> 182 2006-03-01 22.78928
#> 183 2006-04-01 21.77881
#> 184 2006-05-01 18.84649
#> 185 2006-06-01 20.34404
#> 186 2006-07-01 17.49124
#> 187 2006-08-01 14.68733
#> 188 2006-09-01 18.71964
#> 189 2006-10-01 20.11251
#> 190 2006-11-01 22.94396
#> 191 2006-12-01 22.79046
#> 192 2007-01-01 22.53878
#> 193 2007-02-01 20.22739
#> 194 2007-03-01 19.90390
#> 195 2007-04-01 19.92158
#> 196 2007-05-01 21.13614
#> 197 2007-06-01 20.37413
#> 198 2007-07-01 18.53241
#> 199 2007-08-01 18.70764
#> 200 2007-09-01 19.66964
#> 201 2007-10-01 18.04926
#> 202 2007-11-01 19.71781
#> 203 2007-12-01 19.56453
#> 204 2008-01-01 19.75296
#> 205 2008-02-01 17.64913
#> 206 2008-03-01 18.08464
#> 207 2008-04-01 14.89764
#> 208 2008-05-01 13.25846
#> 209 2008-06-01 10.48499
#> 210 2008-07-01 7.92041
#> 211 2008-08-01 5.03856
#> 212 2008-09-01 -1.11838
#> 213 2008-10-01 -10.68684
#> 214 2008-11-01 -20.44455
#> 215 2008-12-01 -31.87897
#> 216 2009-01-01 -32.31740
#> 217 2009-02-01 -31.50374
#> 218 2009-03-01 -34.09127
#> 219 2009-04-01 -27.53964
#> 220 2009-05-01 -21.52866
#> 221 2009-06-01 -17.03440
#> 222 2009-07-01 -8.22254
#> 223 2009-08-01 0.57055
#> 224 2009-09-01 2.63939
#> 225 2009-10-01 6.76964
#> 226 2009-11-01 11.40625
#> 227 2009-12-01 12.28567
#> 228 2010-01-01 15.32120
#> 229 2010-02-01 18.80686
#> 230 2010-03-01 18.37003
#> 231 2010-04-01 20.59552
#> 232 2010-05-01 20.96443
#> 233 2010-06-01 21.97270
#> 234 2010-07-01 21.22095
#> 235 2010-08-01 22.31915
#> 236 2010-09-01 23.61309
#> 237 2010-10-01 23.65865
#> 238 2010-11-01 22.73788
#> 239 2010-12-01 24.15673
#> 240 2011-01-01 26.57623
#> 241 2011-02-01 24.71647
#> 242 2011-03-01 22.66531
#> 243 2011-04-01 20.59719
#> 244 2011-05-01 18.82053
#> 245 2011-06-01 17.15987
#> 246 2011-07-01 13.15896
#> 247 2011-08-01 12.03443
#> 248 2011-09-01 7.78713
#> 249 2011-10-01 9.64376
#> 250 2011-11-01 6.68762
#> 251 2011-12-01 9.74144
#> 252 2012-01-01 7.59813
#> 253 2012-02-01 8.73811
#> 254 2012-03-01 8.97371
#> 255 2012-04-01 8.86146
#> 256 2012-05-01 8.95735
#> 257 2012-06-01 5.43309
#> 258 2012-07-01 5.20253
#> 259 2012-08-01 3.45234
#> 260 2012-09-01 1.66789
#> 261 2012-10-01 -1.40721
#> 262 2012-11-01 5.27210
#> 263 2012-12-01 6.13758
#> 264 2013-01-01 6.87154
#> 265 2013-02-01 11.16675
#> 266 2013-03-01 8.53332
#> 267 2013-04-01 9.61404
#> 268 2013-05-01 7.19740
#> 269 2013-06-01 9.61287
#> 270 2013-07-01 11.83324
#> 271 2013-08-01 13.57062
#> 272 2013-09-01 16.16145
#> 273 2013-10-01 15.07743
#> 274 2013-11-01 18.80177
#> 275 2013-12-01 15.62649
#> 276 2014-01-01 16.55533
#> 277 2014-02-01 15.07146
#> 278 2014-03-01 12.35640
#> 279 2014-04-01 11.83535
#> 280 2014-05-01 11.54550
#> 281 2014-06-01 10.79775
#> 282 2014-07-01 8.99633
#> 283 2014-08-01 8.50538
#> 284 2014-09-01 6.15259
#> 285 2014-10-01 7.15249
#> 286 2014-11-01 6.11829
#> 287 2014-12-01 7.16502
#> 288 2015-01-01 8.52253
#> 289 2015-02-01 10.22048
#> 290 2015-03-01 11.70319
#> 291 2015-04-01 11.42255
#> 292 2015-05-01 10.90187
#> 293 2015-06-01 10.95863
#> 294 2015-07-01 9.94648
#> 295 2015-08-01 11.32206
#> 296 2015-09-01 9.81118
#> 297 2015-10-01 7.77624
#> 298 2015-11-01 7.56181
#> 299 2015-12-01 9.72705
#> 300 2016-01-01 6.64057
#> 301 2016-02-01 5.31550
#> 302 2016-03-01 6.33389
#> 303 2016-04-01 6.20818
#> 304 2016-05-01 7.23600
#> 305 2016-06-01 9.17333
#> 306 2016-07-01 8.99010
#> 307 2016-08-01 9.11333
#> 308 2016-09-01 10.53047
#> 309 2016-10-01 13.15276
#> 310 2016-11-01 6.98314
#> 311 2016-12-01 9.79624
#> 312 2017-01-01 12.36864
#> 313 2017-02-01 14.29688
#> 314 2017-03-01 17.70032
#> 315 2017-04-01 18.34469
#> 316 2017-05-01 21.01251
#> 317 2017-06-01 20.18631
#> 318 2017-07-01 24.12488
#> 319 2017-08-01 19.53380
#> 320 2017-09-01 19.75104
#> 321 2017-10-01 21.27833
#> 322 2017-11-01 20.90316
#> 323 2017-12-01 20.19541
#> 324 2018-01-01 19.23868
#> 325 2018-02-01 18.25083
#> 326 2018-03-01 18.70886
#> 327 2018-04-01 18.21254
#> 328 2018-05-01 15.96868
#> 329 2018-06-01 13.07766
#> 330 2018-07-01 14.22901
#> 331 2018-08-01 13.19656
#> 332 2018-09-01 12.79349
#> 333 2018-10-01 10.77452
#> 334 2018-11-01 11.01912
#> 335 2018-12-01 7.90467
#> 336 2019-01-01 4.67368
#> 337 2019-02-01 6.80944
#> 338 2019-03-01 4.57679
#> 339 2019-04-01 4.26039
#> 340 2019-05-01 5.10027
#> 341 2019-06-01 -0.49632
#> 342 2019-07-01 -2.69459
#> 343 2019-08-01 -3.23655
#> 344 2019-09-01 -7.18876
#> 345 2019-10-01 -2.22380
#> 346 2019-11-01 -0.42811
#> 347 2019-12-01 1.23409
#> 348 2020-01-01 -0.62907
#> 349 2020-02-01 -1.74370
#> 350 2020-03-01 -18.46940
#> 351 2020-04-01 -48.53656
#> 352 2020-05-01 -24.37124
#> 353 2020-06-01 -3.99698
#> 354 2020-07-01 7.43188
#> 355 2020-08-01 5.78837
#> 356 2020-09-01 8.72361
#> 357 2020-10-01 8.38639
#> 358 2020-11-01 0.87714
#> 359 2020-12-01 4.61664
#> 360 2021-01-01 5.85943
#> 361 2021-02-01 10.63861
#> 362 2021-03-01 22.07705
#> 363 2021-04-01 23.49555
#> 364 2021-05-01 21.87514
#> 365 2021-06-01 22.33137
#> 366 2021-07-01 23.49959
#> 367 2021-08-01 17.89470
#> 368 2021-09-01 23.01784
#> 369 2021-10-01 16.25350
#> 370 2021-11-01 16.23158
#> 371 2021-12-01 13.36258
#> 372 2022-01-01 14.99039
#> 373 2022-02-01 14.22836
#> 374 2022-03-01 -6.27590
#> 375 2022-04-01 -0.30981
#> 376 2022-05-01 2.46413
#> 377 2022-06-01 4.10133
#> 378 2022-07-01 0.43040
#> 379 2022-08-01 -0.32981
#> 380 2022-09-01 -2.08696
#> 381 2022-10-01 -1.71682
#> 382 2022-11-01 1.08421
#> 383 2022-12-01 2.93050
#> 384 2023-01-01 4.01083
#> 385 2023-02-01 1.64734
#> 386 2023-03-01 0.51487
#> 387 2023-04-01 4.22438
#> 388 2023-05-01 -1.02147
#> 389 2023-06-01 -6.04801
#> 390 2023-07-01 -5.63327
#> 391 2023-08-01 -4.66704
#> 392 2023-09-01 -8.15426
#> 393 2023-10-01 -4.88099
#> 394 2023-11-01 -4.25246
#> 395 2023-12-01 -6.81069
#> 396 2024-01-01 -7.83671
#> 397 2024-02-01 -6.78285
#> 398 2024-03-01 -1.21652
#> 399 2024-04-01 -2.10044
#> 400 2024-05-01 -0.52960
#> 401 2024-06-01 -2.03777
#> 402 2024-07-01 -2.62042
#> 403 2024-08-01 -5.20727
#> 404 2024-09-01 -6.25773
#> 405 2024-10-01 -6.41039
#> 406 2024-11-01 -5.72343
#> 407 2024-12-01 -5.99748
#> 408 2025-01-01 -7.05297
#> 409 2025-02-01 -5.00884
#> 410 2025-03-01 NA
#> 411 2025-04-01 NA
#> 412 2025-05-01 NA
#> 413 2025-06-01 NA
#> 414 2025-07-01 NA
#> 415 2025-08-01 NA
#> 416 2025-09-01 NA
#> 417 2025-10-01 NA
#> 418 2025-11-01 NA
#> 419 2025-12-01 NA
# }