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010 _a 2019934600
015 _aGBB992488
_2bnb
016 7 _a019410732
_2Uk
020 _a0300244665 (paperback)
020 _a9780300244663 (paperback)
035 _a(OCoLC)on1055260945
040 _aYDX
_beng
_cYDX
_erda
_dBDX
_dOCLCQ
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041 _aeng
042 _alccopycat
050 1 4 _aHB 3730
_bC353f 2019
082 0 0 _a330.01/12
100 1 _aCastle, Jennifer L.
_927705
245 1 0 _aForecasting :
_ban essential introduction /
_cJennifer L. Castle, Michael P. Clements, David F. Hendry.
264 1 _aNew Haven ;
_aLondon :
_bYale University Press,
_c2019.
300 _axiv, 213 pages :
_billustrations ;
_c22 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _aWhy do we need forecasts? -- How do we make forecasts? -- Where are we before we forecast? -- How do we judge forecasts? -- How uncertain are our forecasts? -- Are some real world events unpredictable? -- Why do systematic forecast failures occur? -- Can we avoid systematic forecast failures? -- How do we automatically detect breaks? -- Can we forecast breaks before they hit? -- Can we improve forecasts during breaks? -- Would more information be useful? -- Can econometrics improve forecasting? -- Can you trust economic forecasts?
520 _aMaking accurate predictions about the economy has always been difficult, but today forecasters have to contend with increasing complexity and unpredictable feedback loops. This introduction provides an accessible overview of the processes and difficulties of forecasting. For students, for practitioners new to the field, and for general readers interested in how economists forecast.
650 0 _aEconomic forecasting.
650 4 _aPrevisión económica
_99774
700 1 _aClements, Michael P.
_927706
700 1 _aHendry, David F.
_q(David Forbes),
_927707
_d1944-
906 _a7
_bcbc
_ccopycat
_d2
_encip
_f20
_gy-gencatlg
942 _2lcc
_cBK