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APOYO MONETARIO INSUFICIENTE Y
RESULTADOS EN SALUD: EL CASO PERUANO
1
FINANCIAL SUPPORT FAILURE AND HEALTH RESULTS:
THE PERUVIAN CASE
Jorge Guillén Uyen1
1Universidad ESAN, Lima, Perú. Correo electrónico: jguillen@esan.edu.pe
ORCID https://orcid.org/0000-0002-4511-2108
Recepción: 24 de mayo del 2022
Aprobación: 10 de junio del 2022
RESUMEN
El documento arrojó luz al analizar la eficiencia del apoyo financiero del gobierno pe-ruano en
comparación con algunos países de la región de América Latina y del mundo. La Pandemia del
Covid 19 obligó a los gobiernos a aplicar el “Golpe de Martillo” que afectó negativamente a la
economía produciendo recesión y desempleo. Los gobiernos compensan este último efecto
aplicando políticas de subsidio a los pobres y luego reducen las consecuencias económicas
negativas del confinamiento general sin contraer el COVID. Nuestro estudio realiza un Modelo
de Diferencias y Diferencias (DID) para evaluar la efectividad de esta última política.
Palabras clave: DID, Evaluación de Bonos
ABSTRACT
The paper shed the light in analyzing the efficiency of Peruvian Government Financial Support
in comparison with some countries in the Latin American Region and worldwide. The Covid 19
Pandemic enforced governments to apply the “Hammer Blow” which affected negatively the
economy producing recession and unemployment. Governments offset the latter effect by
applying subsidy policies to the Poor and then reduce the negative economic consequences of
the general lockdown without getting COVID. Our study performs a Difference and Difference
Model (DID) to evaluate the effectiveness of the latter policy.
Key words: DID, Subsidy Assesment
1
Ponencia presentada al XXXII Congreso Nacional de Estudiantes de Economía del Perú CONEE Huancavelica 2022,
ciudad de Huancavelica (Perú)
Revista Oeconomicus UNH (2022), Vol. 2, Núm. 2, pp. 24 - 29
ISSN:
2955-859X (En línea)
DOI :
https://doi.org/10.54943/revoec.v2i2.198
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1. INTRODUCTION
Many governments worldwide have made the decision to assume the opportunity cost of
compulsory social isolation of the poor. In particular, the Peruvian president Martin Vizcarra
declared a State of National Health Emergency due to the Covid-19 pandemic. The objective
of this rule was to ensure that the majority of the vulnerable population remains in their
homes isolated from all contagion. Along this line, the Peruvian government has chosen to
apply a policy of granting monetary subsidies progressively to mitigate the adverse economic
impact of compulsory social isolation. The four types of bonds cover 6.1 million households
for an amount of S/ 4.46 billion [1]. Also, a series of measures have been initiated to alleviate
the effect of isolation on SMEs and large companies through programs such as REACTIVA
Peru. The latter program subsidy for firms may avoid layoffs and offset fixed labor cost
deteriorated by the economic shutdown.
2
The main objective of the paper is to find the efficiency of the Financial Support to the poor
during the State of National Health Emergency. [3] also analyzed economic consequences of
the lockdown or “hammer blow” which attempted to reduce Covid 19 cases and permitted
health assistance to most of the population in Intensive Care Unit (ICU). Italy and USA had
peaks of 812 and 2,349 deaths during the first wave of cases (March- June 2020). Emerging
Countries like Peru, Brazil and Chile, the number hit 584, 650 and 96 death cases during the
same period [4].
3
In addition, [3] shows heterogeneous economic and health results after the
application of financial support for the Poor. Emerging Economies had more negative
consequences in comparison with Developed Economies. The different infrastructure,
degrees of informality and ability to cope between the latter set of countries induced
heterogeneous results. Our study complements
4
the results of Loayza.
[6] Show how stimulus payments to low-income households increased consumer spending
sharply, but little of this increased spending flowed to businesses most affected by the
COVID-19 shock, dampening its impacts on employment. [7] shows for a sample in UK
that the effect of the Pandemic was homogeneous across gender However for [8] the effect
of COVID on employment was asymmetrical and deepened by age for his sample in the US.
Our study focusses the initial Pandemic effects in Peru, an emerging economy that may have
different effects according to [3] and we will focus the attention on the financial support for
vulnerable families in order to offset economic and health negative effects within latter
groups.
Next section presents the subsidy policy during the Pandemic for a set of countries in the
Latin American Region as well as some Developed Countries. Some Statistics are presented
which show preliminary results in lines with our hypothesis set up above. Then a Model of
Difference and Difference (DID) is presented along the results, to finally conclude.
2. DEVELOPMENT
2
See [2] and [3].
3
There are more case waves with significant effect on death. Lately, we do not have significant amount of deaths since
vaccination has progressed worldwide. The data of our study span the first wave of Covid 19 cases.
4
Also in [5] there is a discussion of low fiscal space characterized by emerging economies.
Apoyo monetario insuficiente y resultados en salud: el caso peruano
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2.1.
The Peruvian Case
Since August 2020, Peruvian Government provided demand stimulus given by the
following programs:
Bond “Yo me quedo en casa”
Bond “Rural”
Bond Familiar Universal
Bond Independiente
Bond “Mype”
The Bond "Yo me quedo en casa" is aimed at Households in poverty or extreme
poverty according to the Household Targeting System (SISFOH) and is granted under
the responsibility of the Ministry of Development and Social Inclusion [9].
The Bond “Rural” aimed Households in conditions of poverty or extreme poverty in
rural areas according to the Household Targeting System (SISFOH). For details see
the Emergency Decrees No. 027-2020 and No. 033-2020 [10].
The Universal Family Bond is targeted for households whose members are not
registered in the Application for the Centralized Registry of Payrolls and Public Sector
Data (AIRHSP) or in the available private payroll, and who have not received or will
not receive the monetary subsidy from the “Independent” Bond, “Yo me quedo en
Casa” and “RuralBond. Finally, the “Mype” Perfect Suspension Bond is for workers
who are in a perfect suspension of job
5
, who belong to the microenterprise labor
regime and whose gross remuneration is up to US$ 700 dollars per month. More than
6 million people were benefited from the first provision of Bonds which were set in
the first half of 2020. The idea is to offset drop in consumption of the vulnerable
population within the country.
3. CONCLUSIONS
It has been verified that the disbursement granted by the government has been below the
average of the region. The disbursement has been granted only once in a period of austerity
and quarantine of almost six months. This situation generated movement of agents,
increasing the probability of contagion and therefore death from COVID.
Then we have verified in the DID model that there is no significant difference between the
treatment and control groups in terms of deaths. We may infer the latter conclusion since
the treatment variable effect resulted with a non-significant sign.
5
It is not a layd off situation, is just a suspensión of payroll payments.
Jorge Guillén Uyen
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4. REFERENCES
Anil K. Giri, Tia M. McDonald, Dipak Subedi, and Christine Whitt (2021) “Financial
Assistance for Farm Operations and Farm Households in the Face of COVID-19”.
USDA Economic Research Sevice AP 090. COVID 19 Working Paper.
Athey A, Imbens GW. (2017) “The state of applied econometrics: causality and policy
evaluations”. J. Econ. Perspect. 31(2):332.
Baicker K, Taubman SL, Allen HL, Bernstein M, Gruber JH, Newhouse JP, et al. (2013)
”The Oregon experimenteffects of Medicai.
Bolivia's media in : https://www.la-razon.com/sociedad/2020/04/14/bono-familia-se-
pagara-primero-a-estudiantes-de-secundaria-desde-este-miercoles/
Caselli, F., Grigoli F., Sandri D., and Spilimbergo A. (2020). “Mobility under the COVID-19
Pandemic Asymmetric Effects across Gender and Age.” Covid Economics 64: 13564.
Central Bank of Peru Inflation Reports 2020 and 2021.
CEPAL (2021). Infome sobre el impacto económicos en América Latina y el Caribe de la
enfermedad por Coronavirus (COVID19). Naciones Unidas.
Chile's media in: https://www.bonocovid.cl/
Colombia's media in: https://mag.elcomercio.pe/respuestas/ingreso-solidario-160000-
pesos-colombia-como-saber-recibire-bono-covid-19-desde-cuando-podre-cobrarlo-
nnda-nnlt-noticia/
Decree 27 and 33 (2020). "Framework of Emergency State" El Peruano.
Dirección Nacional de Planeamiento (DNP) de Colombia see in:
https://www.dnp.gov.co/DNPN/Paginas/default.aspx
El Comercio. (2020). Obtained from El Comercio:
https://www.elcomercio.com/actualidad/bono-dolares-emergencia-covid19-
beneficiarios.html
El Comercio. (2020). Obtained from
https://elcomercio.pe/economia/mundo/coronavirus-usa-estados-unidos-
segundo-cheque-de-estimulo-quienes-aplicarian-a-esta-ayuda-economica-covid-19-
nndc-noticia/
El Comercio Respuestas. (2020). Obtained from El Comercio Respuestas:
https://elcomercio.pe/respuestas/bono-universal-en-bolivia-cronograma-fechas-
Apoyo monetario insuficiente y resultados en salud: el caso peruano
28
de-pago-y-todo-acerca-del-subsidio-bono-universal-bono-bolivia-ayuda-economica-
coronavirus-en-bolivia-covid-19-revtli-noticia/
European Central Bank Open Data Access.
Fan H. and Nie X (2020) “Impacts of Layoffs and Government Assistance on Mental Health
during COVID-19: An Evidence-Based Study of the United States. Sustainability 12,
7763.
Friedman R.J., Hendren N., Stepner M., and The Opportunity Insights Team. (2020). “The
Economic Impacts of COVID-19: Evidence from a New Public Database Built Using
Private Sector Data.” NBER Working Paper 27431. National Bureau of Economic
Research, Cambridge, MA.
Garganta Santiago, Leonardo Gasparini, Mariana Marchionni and Mariano Tappata (2016)
“The Effect of Cash Transfers on Fertility: Evidence from Argentina” Population
Research and Policy Review.
Gobierno de Chile. (2020). Obtained from Gobierno de Chile:
https://www.chileatiende.gob.cl/fichas/77255-bono-de-emergencia-covid-19
Hupkau, C. and B. Petrongolo. (2020). “Work, Care, and Gender During the COVID-19
Crisis.” Fiscal Studies, 41 (3): 62351.
INEI (2021). Survey and Open Data Access.
John Hopkins University. COVID-19 Data Repository by the Center for Systems Science
and Engineering (CSSE)
Kose, M. Ayhan and Ohnsorge, Franziska and Sugawara, Naotaka, Fiscal Space: Concept,
Measurement, and Policy Implications (November 1, 2018). World Bank Research
and Policy Briefs No. 132195, Available at
SSRN: https://ssrn.com/abstract=3291569
Loayza Norman (2020) "COVID-19 Data Repository by the Center for Systems Science and
Engineering (CSSE) at Johns Hopkins University" Research and Policy Briefs. World
Bank Malaysia Hub. N0 35. May.
Morris S. (2013) Design and Commissioning of Counterfactual Impact Evaluations - A
Practical Guidance for ESF Managing Authorities. European
Commission,Directorate-General for Employment, Social Affairs and Inclusion.
DOI:10.2767/94454
Maryland University. Data COVID.
Jorge Guillén Uyen
29
MIDIS. (2020). Ministerio de Desarrollo e Inclusión Social. Obtained from:
https://www.gob.pe/midis
Shibata, I. (2020). “The Distributional Impact of Recessions: The Global Financial Crisis and
The Pandemic Recession.” IMF Working Paper 20/96. International Monetary Fund,
Washington, DC.
US Central Bank Open Data Access.
World Bank Open Data Access.
World Bank Reports. (2020).
Xinhua Español. (2020). Obtained from Xinhua Español:
http://spanish.xinhuanet.com/2020-04/16/c_138979758.htm
Apoyo monetario insuficiente y resultados en salud: el caso peruano