Reference health
Informal Sector and Mobile Financial Services in Developing Countries: Does Financial Innovation Matter?
1 of 64 checkable references need attention · checked 2026-08-27
At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.
10 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
References needing attention
does not resolve to a known work10.2307/2335942
The 63 checked references that resolve
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Payment Mechanisms and Antipoverty Programs: Evidence from a Mobile Money Cash Transfer Experiment in Niger
resolves10.1016/j.foodpol.2015.03.006
Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger
resolves10.1177/1091142113482353
Using Dynamic Panel Methods to Estimate Shadow Economies Around the World, 1984–2006
resolves10.1002/pst.433
Optimal caliper widths for propensity‐score matching when estimating differences in means and differences in proportions in observational studies
resolves10.1016/j.jimonfin.2016.10.005
Sovereign debt risk in emerging market economies: Does inflation targeting adoption make any difference?
resolves10.1016/j.econmod.2016.03.028
Financial development and the shadow economy: A panel VAR analysis
resolves10.1007/s10797-011-9187-7
Shadow economies around the world: novel insights, accepted knowledge, and new estimates
resolves10.1007/s10797-011-9175-y
Corruption and the shadow economy: like oil and vinegar, like water and fire?
resolves10.1111/j.1467-6419.2007.00527.x
SOME PRACTICAL GUIDANCE FOR THE IMPLEMENTATION OF PROPENSITY SCORE MATCHING
resolves10.1016/j.jdeveco.2006.05.007
What causes firms to hide output? The determinants of informality
resolves10.1162/003465302317331982
Propensity Score-Matching Methods for Nonexperimental Causal Studies
resolves10.1016/j.worlddev.2015.08.026
Analyzing the Determinants of the Shadow Economy With a “Separate Approach”. An Application of the Relationship Between Inequality and the Shadow Economy
resolves10.1080/10438599.2017.1322234
Adoption of mobile money and financial inclusion: a macroeconomic approach through cluster analysis
resolves10.1111/j.0081-1750.2004.00154.x
7. Assessing Bias in the Estimation of Causal Effects: Rosenbaum Bounds on Matching Estimators and Instrumental Variables Estimation with Imperfect Instruments
resolves10.1080/00036840500392078
Does globalization affect growth? Evidence from a new index of globalization
resolves10.1515/rne-2015-0020
An Empirical Examination of Why Mobile Money Schemes Ignite in Some Developing Countries but Flounder in Most
resolves10.1016/j.worlddev.2009.01.008
Infrastructure and Growth in South Africa: Direct and Indirect Productivity Impacts of 19 Infrastructure Measures
resolves10.1080/09603107.2010.532112
Economy-wide corruption and bad loans in banking: international evidence
resolves10.1016/j.econmod.2016.06.009
Shining a light on the shadows: Identifying robust determinants of the shadow economy
resolves10.3917/ecofi.116.0057
L'inclusion financière en Afrique subsaharienne : faits stylisés et déterminants
resolves10.1007/s11187-017-9951-x
Does mobile money use increase firms’ investment? Evidence from Enterprise Surveys in Kenya, Uganda, and Tanzania
resolves10.1257/aer.104.1.183
Risk Sharing and Transactions Costs: Evidence from Kenya's Mobile Money Revolution
resolves10.1016/j.jeconom.2005.02.011
Generalized reduced rank tests using the singular value decomposition
resolves10.5089/9781484338636.001
Shadow Economies Around the World: What Did We Learn Over the Last 20 Years?
resolves10.1016/j.worlddev.2017.03.007
Explaining Ethiopia’s Growth Acceleration—The Role of Infrastructure and Macroeconomic Policy
resolves10.1016/j.infoecopol.2017.05.003
Infrastructure deficiencies and adoption of mobile money in Sub-Saharan Africa
resolves10.1016/j.worlddev.2015.11.006
Mobile Money, Remittances, and Household Welfare: Panel Evidence from Rural Uganda
resolves10.1016/j.jimonfin.2011.07.007
Corruption, soundness of the banking sector, and economic growth: A cross-country study
resolves10.1016/j.econmod.2017.01.001
Impacts of globalization on the informal sector: Empirical evidence from developing countries
resolves10.1080/00031305.1985.10479383
Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score
resolves10.1016/j.jdeveco.2011.06.010
Electricity provision and industrial development: Evidence from India
resolves10.1016/j.foodpol.2017.10.004
Can mobile phones improve gender equality and nutrition? Panel data evidence from farm households in Uganda
resolves10.1016/j.joep.2008.08.004
The impact of tax morale and institutional quality on the shadow economy
The 10 references without a DOI — listed, not checked
no DOI — not checkedref4
no DOI — not checkedref5
no DOI — not checkedSafaricom and M-PESA in Kenya: Financial Inclusion and Financial Integrity
no DOI — not checkedShadow economies around the world: model based estimates
no DOI — not checkedref37
no DOI — not checkedref38
no DOI — not checkedState of the industry Report on mobile money
no DOI — not checkedref41
no DOI — not checkedSize and development of the shadow economies of 157 worldwide countries: Updated and new measures from 1999 to
no DOI — not checkedref61
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