Losing to Blackouts. (Record no. 666269)

MARC details
000 -LEADER
fixed length control field 04675cam a2200517Mu 4500
001 - CONTROL NUMBER
control field on1048785777
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240829103043.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |n|---|||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180818s2018 dcu o 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EBLCP
Language of cataloging eng
Description conventions pn
Transcribing agency EBLCP
Modifying agency YDX
-- MERUC
-- OCLCQ
-- N$T
066 ## - CHARACTER SETS PRESENT
Alternate G0 or G1 character set (S
019 ## -
-- 1047788021
-- 1280230771
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1484368339
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484368336
Qualifying information (electronic bk.)
035 ## - SYSTEM CONTROL NUMBER
System control number 1861076
-- (N$T)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1048785777
Canceled/invalid control number (OCoLC)1047788021
-- (OCoLC)1280230771
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK1010
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.31
Edition number 23
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Gurara, Daniel.
9 (RLIN) 990114
245 10 - TITLE STATEMENT
Title Losing to Blackouts.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Washington, D.C. :
Name of publisher, distributor, etc. International Monetary Fund,
Date of publication, distribution, etc. 2018.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (46 pages)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Print version record.
505 0# - FORMATTED CONTENTS NOTE
Linkage 880-01
Formatted contents note Cover; Contents; 1 Background; 2 A Brief History of Outages; 3 Conceptual Framework and Data; 3.1 Conceptual Framework; 3.2 Data; 4 Empirical Strategy; 4.1 Estimating the Productivity Cost of Power Disruptions; 4.2 Firm Response to Outages; 5 Results and Discussion; 5.1 How Costly are Power Disruptions?; 5.2 Do Firms Shutdown to Avoid Bigger Losses?; 6 Concluding Remarks; Appendices; A Unbalanced panel results; B Balanced panel results; List of Figures; 1 A Decision Tree of Firms' Responses to Power Disruption; 2 Alternative Power Disruption Measures.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3 The Productivity Loss from Electricity Disruptions4 Productivity Loss from Power Disruptions; 5 Productivity Loss Due to Power Disruptions (aggregate TFP); 6 Shutdown Incidents Vary by Age; A.1 Productivity Loss from Electricity Disruptions (Table 4, IV model: Col 8); A.2 Within-industry Productivity Loss Due to Power Disruptions; A.3 Within-industry Productivity Loss Due to Power Disruptions; A.4 Productivity Loss from Electricity Disruptions; A.5 Productivity Loss from Electricity Disruptions; List of Tables; 1 Total Number of Firms by ISIC-2; 2 Summary Statistics; 3 Benchmark Pooled OLS.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note A.9 Industry Level Production Functions (ACF)A.10 Industry Level Production Functions (LP); A.11 Industry Level Production Functions (ACF); A.12 Poisson Models; A.13 Alternative to Count Models-Pooled OLS; A.14 Panel Quantile Regressions (using ACF); A.15 Fixed Effects and IV Estimation (balanced panel); A.16 Estimated Productivity Losses from Table A.15; A.17 Fixed Effects and IV Estimation (balanced panel); A.18 Estimated Productivity Losses from Table A.17.
520 ## - SUMMARY, ETC.
Summary, etc. Many developing economies are often hit by electricity crises either because of supply constraints or lacking in broader energy market reforms. This study uses manufacturing firm census data from Ethiopia to identify productivity losses attributable to power disruptions. Our estimates show that these disruptions, on average, result in productivity losses of about 4-10 percent. We found nonlinear productivity losses at different quantiles along the productivity distribution. Firms at higher quantiles faced higher losses compared to firms around the median. We observed patterns of systematic shutdowns as firms attempt to minimize losses.
590 ## - LOCAL NOTE (RLIN)
Local note WorldCat record variable field(s) change: 050, 082, 650
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Electric power failures
Geographic subdivision Developing countries.
9 (RLIN) 990115
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Emergency management
Geographic subdivision Developing countries.
9 (RLIN) 373510
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
9 (RLIN) 396
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tessema, Dawit.
9 (RLIN) 990116
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Gurara, Daniel.
Title Losing to Blackouts: Evidence from Firm Level Data.
Place, publisher, and date of publication Washington, D.C. : International Monetary Fund, ©2018
International Standard Book Number 9781484363973
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified EBSCOhost
Uniform Resource Identifier <a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1861076">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1861076</a>
880 8# - ALTERNATE GRAPHIC REPRESENTATION
Linkage 505-01/(S
a 4 Fixed Effects and IV Estimation5 Panel Quantile Regression (aggregate); 6 Panel Quantile Regression (within-industry); 7 Negative Binomial Regression; A.1 Unreliability of Utility Services to Manufacturing Firms; A.2 Electricity Cost as a Share of Total Industrial Cost; A.3 Correlation Between S[(sup)σ] and Possible Reasons for Lower Power Consumption; A.4 Estimated Productivity Losses from Table 4; A.5 Fixed Effects and IV Estimation (with[(sup)σ]); A.6 Estimated Productivity Losses from Table A.5; A.7 Aggregate Production Functions; A.8 Industry Level Production Functions (LP).
938 ## -
-- EBL - Ebook Library
-- EBLB
-- EBL5484970
938 ## -
-- YBP Library Services
-- YANK
-- 15623059
938 ## -
-- EBSCOhost
-- EBSC
-- 1861076
994 ## -
-- 92
-- N$T
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
  Not Lost     EBSCO Business e-Library e-Library 29/08/2024   29/08/2024 29/08/2024 eBook

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