語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ author_sort:"liu, miao." ]
切換:
標籤
|
MARC模式
|
ISBD
Assessing Human Information Processi...
~
Liu, Miao.
FindBook
Google Book
Amazon
博客來
Assessing Human Information Processing in Lending Decisions: A Machine Learning Approach.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Assessing Human Information Processing in Lending Decisions: A Machine Learning Approach./
作者:
Liu, Miao.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
113 p.
附註:
Source: Dissertations Abstracts International, Volume: 82-01, Section: B.
Contained By:
Dissertations Abstracts International82-01B.
標題:
Accounting. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27994087
ISBN:
9798662406506
Assessing Human Information Processing in Lending Decisions: A Machine Learning Approach.
Liu, Miao.
Assessing Human Information Processing in Lending Decisions: A Machine Learning Approach.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 113 p.
Source: Dissertations Abstracts International, Volume: 82-01, Section: B.
Thesis (Ph.D.)--The University of Chicago, 2020.
This item must not be sold to any third party vendors.
This paper studies factors that determine efficient information processing. I exploit a unique small business lending setting where the entire codified information set that loan officers use in their decision-making is observable (to the researcher). I decompose the loan officers' decisions into a part driven by codified hard information and a part driven by uncodified soft information. I show that a machine learning model substantially outperforms loan officers in processing hard information. Using the machine learning model as a benchmark, I find that limited attention and overreaction to salient information largely explain the loan officers' weakness in processing hard information. However, the loan officers acquire more soft information after seeing salient hard information, suggesting salience has a dual role: it creates bias in hard information processing, but facilitates attention allocation in new information acquisition.
ISBN: 9798662406506Subjects--Topical Terms:
557516
Accounting.
Subjects--Index Terms:
Banking
Assessing Human Information Processing in Lending Decisions: A Machine Learning Approach.
LDR
:02091nmm a2200361 4500
001
2277816
005
20210528102133.5
008
220723s2020 ||||||||||||||||| ||eng d
020
$a
9798662406506
035
$a
(MiAaPQ)AAI27994087
035
$a
AAI27994087
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Liu, Miao.
$3
2094568
245
1 0
$a
Assessing Human Information Processing in Lending Decisions: A Machine Learning Approach.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2020
300
$a
113 p.
500
$a
Source: Dissertations Abstracts International, Volume: 82-01, Section: B.
500
$a
Advisor: Leuz, Christian.
502
$a
Thesis (Ph.D.)--The University of Chicago, 2020.
506
$a
This item must not be sold to any third party vendors.
520
$a
This paper studies factors that determine efficient information processing. I exploit a unique small business lending setting where the entire codified information set that loan officers use in their decision-making is observable (to the researcher). I decompose the loan officers' decisions into a part driven by codified hard information and a part driven by uncodified soft information. I show that a machine learning model substantially outperforms loan officers in processing hard information. Using the machine learning model as a benchmark, I find that limited attention and overreaction to salient information largely explain the loan officers' weakness in processing hard information. However, the loan officers acquire more soft information after seeing salient hard information, suggesting salience has a dual role: it creates bias in hard information processing, but facilitates attention allocation in new information acquisition.
590
$a
School code: 0330.
650
4
$a
Accounting.
$3
557516
650
4
$a
Finance.
$3
542899
650
4
$a
Behavioral sciences.
$3
529833
653
$a
Banking
653
$a
Cognitive constraint
653
$a
Information processing
653
$a
Machine learning
690
$a
0272
690
$a
0508
690
$a
0602
710
2
$a
The University of Chicago.
$b
Business.
$3
1671506
773
0
$t
Dissertations Abstracts International
$g
82-01B.
790
$a
0330
791
$a
Ph.D.
792
$a
2020
793
$a
English
856
4 0
$u
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27994087
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9429550
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入