| 000 | 00000nam 2200000zi 4500 |
| 001 | 9.908838 |
|---|
| 003 | CaOODSP |
|---|
| 005 | 20230928105306 |
|---|
| 006 | m o d f |
|---|
| 007 | cr |n||||||||| |
|---|
| 008 | 220308t20222022oncd ob f|0| 0 eng d |
|---|
| 040 | |aCaOODSP|beng|erda|cCaOODSP |
|---|
| 043 | |an-cn--- |
|---|
| 086 | 1 |aFB3-5/2022-10E-PDF |
|---|
| 100 | 1 |aChapman, James T. E., |eauthor. |
|---|
| 245 | 10|aMacroeconomic predictions using payments data and machine learning / |cby James T. E. Chapman and Ajit Desai. |
|---|
| 264 | 1|aOttawa, Ontario, Canada : |bBank of Canada = Banque du Canada, |c2022. |
|---|
| 264 | 4|c©2022 |
|---|
| 300 | |a1 online resource (ii, 44 pages) : |bcharts. |
|---|
| 336 | |atext|btxt|2rdacontent |
|---|
| 337 | |acomputer|bc|2rdamedia |
|---|
| 338 | |aonline resource|bcr|2rdacarrier |
|---|
| 490 | 1 |aStaff working paper = |aDocument de travail du personnel, |x1701-9397 ; |v2022-10 |
|---|
| 500 | |a"Last updated: March 3, 2022." |
|---|
| 504 | |aIncludes bibliographical references (pages 27-31). |
|---|
| 520 | |a"This paper demonstrates: (a) that payments systems data which capture a variety of economic transactions can assist in estimating the state of the economy in real time and (b) that machine learning can provide a set of econometric tools to effectively handle a wide variety in payments data and capture sudden and large effects from a crisis"--Abstract. |
|---|
| 650 | 0|aBusiness cycles|xEconometric models. |
|---|
| 650 | 6|aCycles économiques|xModèles économétriques. |
|---|
| 710 | 2 |aBank of Canada, |eissuing body. |
|---|
| 830 | #0|aStaff working paper (Bank of Canada)|v2022-10.|w(CaOODSP)9.806221 |
|---|
| 856 | 40|qPDF|s1.96 MB|uhttps://publications.gc.ca/collections/collection_2022/banque-bank-canada/FB3-5-2022-10-eng.pdf |
|---|