Category

Number of Access this item:1,314（2024-04-24 01:02 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/10086/13706

Link to primary information 

File Format Size Views Description
cover_13706 pdf
D05-137 pdf 616 KB 1,678

Item Information

Output File

Title
Listening to the Market: Estimating Credit Demand and Supply from Survey Data
Creator
Creator Name
Kanoh, Satoru Kanoh, Satoru
加納, 悟 加納, 悟
カノウ, サトル カノウ, サトル
Affiliation
Affiliation Name
Hitotsubashi University
Creator Name
Pumpaisanchai, Chakkrit Pumpaisanchai, Chakkrit
Affiliation
Affiliation Name
Hitotsubashi University
Editor
Contributor Name
社会科学における統計分析拠点構築 = Research Unit for Statistical Analysis in Social Sciences
Key Word
Credit demand
Credit supply
Survey data
Japanese Economy
JEL
C42
C51
E10
O53
Abstract
The literature referring to the credit slowdown has been plagued by the identification problem of whether a decline in a bank's credit is derived from the demand or the supply side. This paper proposes an original approach in directly estimating the credit demand and the credit supply from survey data. Using the TANKAN and the recently published Senior Loan Officer survey data, the paper demonstrates that the observed lending amount did not change much during the period of study; however, the observed lending amount deviated, as one might expect, from the estimated credit demand and credit supply for every firm size. This credit mismatch presents evidence of credit market imperfections and is of interest for further investigation as a possible explanation of firms' liquidity constraints and banks' lending mechanisms.
Publisher
Institute of Economic Research, Hitotsubashi University
Issued Date
2006-02
Language
English(eng)
Resource Type
technical report
Version Type
VoR
Is Part OfRelation -
Related Title
Hi-Stat Discussion paper series ; No. d05-137
Relation
Related Identifier
URI
  http://21coe.ier.hit-u.ac.jp/english/index.html
Number of Pages
36
Sponsorship
21世紀COEプログラム = 21st-Century COE Program
Appears in Collections
Hi-Stat Discussion paper series
URL
https://hdl.handle.net/10086/13706