How Can We Learn Whether Firm Policies Are Working in Africa? Challenges (and Solutions?) for Experiments and Structural Models
Firm productivity is low in African countries, prompting governments to try a number of active policies to improve it. Yet despite the millions of dollars spent on these policies, we are far from a situation where we know whether many of them are y...
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Format: | Policy Research Working Paper |
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2012
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Online Access: | http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20110412081305 http://hdl.handle.net/10986/3398 |
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okr-10986-33982021-04-23T14:02:09Z How Can We Learn Whether Firm Policies Are Working in Africa? Challenges (and Solutions?) for Experiments and Structural Models McKenzie, David BUSINESS CLIMATE BUSINESS PLAN BUSINESS PLANNING BUSINESS SERVICES BUSINESSES CAPACITY BUILDING CERTIFICATE COMMODITY COMPETITIVENESS COMPETITORS CORPORATION CREDIT LINE CREDIT RISK DATA COLLECTION DECISION-MAKING ELECTRICITY EMPLOYMENT EMPLOYMENT CREATION ENTERPRISE DEVELOPMENT ENTERPRISE SURVEY ENTERPRISE SURVEYS ENTREPRENEURS EQUIPMENT EXCESS DEMAND EXPORT PROMOTION EXPORT SECTOR EXTERNALITIES FINANCIAL CAPITAL FIRMS GRANT PROGRAMS IMPACT ASSESSMENTS JOB CREATION KEY PERFORMANCE INDICATORS LARGE ENTERPRISES LEARNING LEASING LITERACY LOAN MACROECONOMIC STABILITY MANUFACTURING MARKETING MATCHING GRANTS MEDIUM ENTERPRISE MEDIUM SCALE ENTERPRISE MICROENTERPRISES MICROFINANCE MICROFINANCE PROGRAM OPEN ACCESS PERFORMANCE INDICATORS PRIVATE SECTOR PRIVATE SECTOR ASSISTANCE PRIVATE SECTOR DEVELOPMENT PRODUCTION FUNCTIONS PRODUCTIVITY PROGRAMS REGULATORY BURDEN RESULT RESULTS RETAIL TRADE SCALE ENTERPRISE SMALL ENTERPRISE SMALL ENTERPRISES SMALL FIRMS SME SME DEVELOPMENT SME FINANCE SME POLICIES SME PROJECT SME PROJECTS SUPPLIER SUPPLIERS TECHNICAL ASSISTANCE TECHNICAL TRAINING TIME FRAME TIME PERIODS TRAINING COURSES USES WEB Firm productivity is low in African countries, prompting governments to try a number of active policies to improve it. Yet despite the millions of dollars spent on these policies, we are far from a situation where we know whether many of them are yielding the desired payoffs. This paper establishes some basic facts about the number and heterogeneity of firms in different sub-Saharan African countries and discusses their implications for experimental and structural approaches towards trying to estimate firm policy impacts. It shows that the typical firm program such as a matching grant scheme or business training program involves only 100 to 300 firms, which are often very heterogeneous in terms of employment and sales levels. As a result, standard experimental designs will lack any power to detect reasonable sized treatment impacts, while structural models which assume common production technologies and few missing markets will be ill-suited to capture the key constraints firms face. Nevertheless, the author suggests a way forward which involves focusing on a more homogeneous sub-sample of firms and collecting a lot more data on them than is typically collected. 2012-03-19T18:01:46Z 2012-03-19T18:01:46Z 2011-04-01 http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20110412081305 http://hdl.handle.net/10986/3398 English Policy Research working paper ; no. WPS 5632 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank Publications & Research :: Policy Research Working Paper Africa Africa Africa |
repository_type |
Digital Repository |
institution_category |
Foreign Institution |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
language |
English |
topic |
BUSINESS CLIMATE BUSINESS PLAN BUSINESS PLANNING BUSINESS SERVICES BUSINESSES CAPACITY BUILDING CERTIFICATE COMMODITY COMPETITIVENESS COMPETITORS CORPORATION CREDIT LINE CREDIT RISK DATA COLLECTION DECISION-MAKING ELECTRICITY EMPLOYMENT EMPLOYMENT CREATION ENTERPRISE DEVELOPMENT ENTERPRISE SURVEY ENTERPRISE SURVEYS ENTREPRENEURS EQUIPMENT EXCESS DEMAND EXPORT PROMOTION EXPORT SECTOR EXTERNALITIES FINANCIAL CAPITAL FIRMS GRANT PROGRAMS IMPACT ASSESSMENTS JOB CREATION KEY PERFORMANCE INDICATORS LARGE ENTERPRISES LEARNING LEASING LITERACY LOAN MACROECONOMIC STABILITY MANUFACTURING MARKETING MATCHING GRANTS MEDIUM ENTERPRISE MEDIUM SCALE ENTERPRISE MICROENTERPRISES MICROFINANCE MICROFINANCE PROGRAM OPEN ACCESS PERFORMANCE INDICATORS PRIVATE SECTOR PRIVATE SECTOR ASSISTANCE PRIVATE SECTOR DEVELOPMENT PRODUCTION FUNCTIONS PRODUCTIVITY PROGRAMS REGULATORY BURDEN RESULT RESULTS RETAIL TRADE SCALE ENTERPRISE SMALL ENTERPRISE SMALL ENTERPRISES SMALL FIRMS SME SME DEVELOPMENT SME FINANCE SME POLICIES SME PROJECT SME PROJECTS SUPPLIER SUPPLIERS TECHNICAL ASSISTANCE TECHNICAL TRAINING TIME FRAME TIME PERIODS TRAINING COURSES USES WEB |
spellingShingle |
BUSINESS CLIMATE BUSINESS PLAN BUSINESS PLANNING BUSINESS SERVICES BUSINESSES CAPACITY BUILDING CERTIFICATE COMMODITY COMPETITIVENESS COMPETITORS CORPORATION CREDIT LINE CREDIT RISK DATA COLLECTION DECISION-MAKING ELECTRICITY EMPLOYMENT EMPLOYMENT CREATION ENTERPRISE DEVELOPMENT ENTERPRISE SURVEY ENTERPRISE SURVEYS ENTREPRENEURS EQUIPMENT EXCESS DEMAND EXPORT PROMOTION EXPORT SECTOR EXTERNALITIES FINANCIAL CAPITAL FIRMS GRANT PROGRAMS IMPACT ASSESSMENTS JOB CREATION KEY PERFORMANCE INDICATORS LARGE ENTERPRISES LEARNING LEASING LITERACY LOAN MACROECONOMIC STABILITY MANUFACTURING MARKETING MATCHING GRANTS MEDIUM ENTERPRISE MEDIUM SCALE ENTERPRISE MICROENTERPRISES MICROFINANCE MICROFINANCE PROGRAM OPEN ACCESS PERFORMANCE INDICATORS PRIVATE SECTOR PRIVATE SECTOR ASSISTANCE PRIVATE SECTOR DEVELOPMENT PRODUCTION FUNCTIONS PRODUCTIVITY PROGRAMS REGULATORY BURDEN RESULT RESULTS RETAIL TRADE SCALE ENTERPRISE SMALL ENTERPRISE SMALL ENTERPRISES SMALL FIRMS SME SME DEVELOPMENT SME FINANCE SME POLICIES SME PROJECT SME PROJECTS SUPPLIER SUPPLIERS TECHNICAL ASSISTANCE TECHNICAL TRAINING TIME FRAME TIME PERIODS TRAINING COURSES USES WEB McKenzie, David How Can We Learn Whether Firm Policies Are Working in Africa? Challenges (and Solutions?) for Experiments and Structural Models |
geographic_facet |
Africa Africa Africa |
relation |
Policy Research working paper ; no. WPS 5632 |
description |
Firm productivity is low in African
countries, prompting governments to try a number of active
policies to improve it. Yet despite the millions of dollars
spent on these policies, we are far from a situation where
we know whether many of them are yielding the desired
payoffs. This paper establishes some basic facts about the
number and heterogeneity of firms in different sub-Saharan
African countries and discusses their implications for
experimental and structural approaches towards trying to
estimate firm policy impacts. It shows that the typical firm
program such as a matching grant scheme or business training
program involves only 100 to 300 firms, which are often very
heterogeneous in terms of employment and sales levels. As a
result, standard experimental designs will lack any power to
detect reasonable sized treatment impacts, while structural
models which assume common production technologies and few
missing markets will be ill-suited to capture the key
constraints firms face. Nevertheless, the author suggests a
way forward which involves focusing on a more homogeneous
sub-sample of firms and collecting a lot more data on them
than is typically collected. |
format |
Publications & Research :: Policy Research Working Paper |
author |
McKenzie, David |
author_facet |
McKenzie, David |
author_sort |
McKenzie, David |
title |
How Can We Learn Whether Firm Policies Are Working in Africa? Challenges (and Solutions?) for Experiments and Structural Models |
title_short |
How Can We Learn Whether Firm Policies Are Working in Africa? Challenges (and Solutions?) for Experiments and Structural Models |
title_full |
How Can We Learn Whether Firm Policies Are Working in Africa? Challenges (and Solutions?) for Experiments and Structural Models |
title_fullStr |
How Can We Learn Whether Firm Policies Are Working in Africa? Challenges (and Solutions?) for Experiments and Structural Models |
title_full_unstemmed |
How Can We Learn Whether Firm Policies Are Working in Africa? Challenges (and Solutions?) for Experiments and Structural Models |
title_sort |
how can we learn whether firm policies are working in africa? challenges (and solutions?) for experiments and structural models |
publishDate |
2012 |
url |
http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20110412081305 http://hdl.handle.net/10986/3398 |
_version_ |
1764386919130595328 |