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The purpose of this paper is to demonstrate empirically that corruption causes significant and sizeable macroeconomic costs to countries in terms of economic activity and economic growth. The authors modeled corruption building on the endogenous growth literature and finally estimated the baseline (bribes paid to public officials) macroeconomic cost of corruption using Argentina 2004-2015 as a case study.

The authors laid the foundations of a new methodology to account corruption losses using data from the national accounts and judiciary investigations within the framework of the Organisation for Economic Cooperation and Development (OECD) non-observed economy (NOE) instead of subjective indicators as in the earlier literature. They also suggested a new method to compute public expenditures overruns, including but not limited to public works.

The authors found the costs stand at a minimum accumulated rate of 8 per cent of gross domestic product (GDP) or 0.8 per cent yearly. These findings provided a corruption cost floor and were consistent with earlier research on world corruption losses estimated at 5 per cent by the World Economic Forum and with the losses estimated at between a yearly rate of 1.3 and 4 per cent and 2 per cent of GDP by Brazil and Peru’s corruption, respectively.

The authors would need to extend the application of their new suggested methodology to further countries. They are working on this. They would need to develop the methodology in full to compute the public works overruns input to future econometric work.

In this paper, the authors make a threefold contribution to the literature on corruption and growth: first, they laid the foundations toward a new methodology to make an accounting of the corruption costs in terms of GDP consistent with the national accounts and executed budgets; on the one hand, and the OECD NOE framework, on the other. The authors named those corruption costs as percentage of GDP the “corruption wedge.” Second, they developed an example taking corruption events and a component of their total costs, namely, the bribes paid to public officials, taking Argentina 2004-2015 as a case study. Finally, they plugged the estimated wedge back into an endogenous growth model and calibrated the growth–corruption path simulating two economies where the total factor productivity was different, at different levels of the corruption wedge.

This paper aims to strive to model virtual trade resulting from time zone differences in an otherwise Heckscher–Ohlin set up which is absent in the literature. So, the paper adds some value to the existing literature on time zones (TZ) and trade.

A competitive general equilibrium model is developed first to capture the effect of TZ differences on virtual trade. Then the authors examine, in brief, if distance can be accommodated in such framework. Finally, the authors extend the model to incorporate informality.

It is seen that exploitation of time zone difference benefits skilled labor and hurts capital under reasonable assumption. In what follows, time zone difference exploiting sector expands, whereas the other sector contracts. Then, the model has been extended to examine how distance may also lead to similar outcomes. In addition, the model is further modified to explore the effect of virtual trade in an informality and associated extortion ridden economy. Interestingly, virtual trade turns out to be beneficial to unskilled workers as well, and leads to a fall in the number of extortionists, though informal production is augmented.

This model is a competitive model that may not clearly reflect the realistic world. However, interestingly this may form the basis of looking into some other appealing dimensions of the real world.

TZ and related communication-cost-driven trade arguments are relatively less explored theoretically. Therefore, the work adds some value to the theoretical understanding of outsourcing in service trade that uses day-night differences across the globe.

The purpose of this study is to empirically investigate the impact of aggregate federal personal income tax evasion on the real interest rate yield on 10-year Treasury notes, 20-year Treasury bonds and 30-year US Treasury bonds.

An open-economy loanable funds model is developed, with income tax evasion expressly included in the specification in the form of the AGI (adjusted gross income) gap and the ratio of unreported AGI to actual AGI, expressed as a per cent.

The empirical estimations reveal compelling evidence that income tax evasion thus measured acts to elevate the real interest rate yields on 10-year Treasury notes and both 20-year and 30-year Treasury bonds, raising the possibility of a tax evasion-induced form of “crowding out”.

Ideally, tax evasion data for a longer time period would be very useful.

To the extent that greater federal personal income tax evasion yields a higher interest rate yield on 10-year, 20-year and 30-year Treasury debt issues, it is likely that the tax evasion will also elevate other interest rates in the economy.

Higher interest rates resulting from tax evasion would likely slow-down macroeconomic growth and accelerate unemployment.

Neither the tax evasion literature nor the interest rate literature has ever considered the impact of tax evasion behavior on long-term interest rates.

Over one and half years have passed since the demonetization of Indian economy had occurred on November 8, 2016. The drastic step was initiated by the Prime Minister Narendra Modi with an intention to curb the “huge” circulation of illicit or “black” money of Indian economy by means of withdrawal of high value denominations of Rupees 500 and Rupees 1,000 from the supply of broad money (M3). This step helped to demonetize around 86 per cent value of total money supply leading to an unprecedented chaos in the economy and public life. The long delays in issuing fresh currency notes at the banks and ATMs further deteriorated the sudden economic crisis.

This research paper is aimed at exploring the proclaimed “efficacy” of demonetization policy as proposed by Reserve Bank of India by means of a mathematical approach and critically examines the effects of demonetization on the illicit money supply of Indian economy on the basis of macroeconomic theory.

From the mathematical model and related estimates, it may be easily deduced that the Indian policymakers deliberately hurled the masses in one of the gravest economic crises with a clear-cut intention of creating a political gimmick, when in reality, the proportion of illegitimate money supply was not even 1 per cent of total legitimate supply of money.

The analyses and findings related to this paper are based on mathematical modeling and logical interpretations. This paper is free of plagiarism as all the necessary sources and references are properly cited.

The formalization of a company is a process that requires compliance with standards established by government institutions. In developing countries, many businesses start this process, but do not finish it, with different levels of formality. The objective of this research is to analyze how the perception of entrepreneurs about bureaucratic procedures and the sector determine the level of formality regarding an established company that has taken the first step to formality.

The National Survey of Micro and Small Enterprises (MSEs) is used with a sample of 4,619 Peruvian MSEs with more than three years of operation within the manufacturing and services sector. The data are analyzed with the ordered logistic regression technique.

The results show that the more favorable the perception of entrepreneurs about the ease of bureaucratic procedures, the higher the level of business formality; and companies in the manufacturing sector are less formal than those in the services sector. In addition, the perceptions of entrepreneurs positively moderate the level of formality in the case of companies in the manufacturing sector.

Levels of formality in established companies are analyzed, defined by the compliance degree with the requirements to be a formal company. The literature on business informality in emerging countries is expanded, particularly in Latin America, incorporating the analysis of the formalization process.

La formalización de una empresa es un proceso que exige el cumplimiento de normas establecidas por las instituciones de gobierno. En países en desarrollo, muchas empresas empiezan este proceso, pero no lo terminan, existiendo diferentes niveles de formalidad. El objetivo de esta investigación es analizar cómo la percepción de los empresarios sobre los trámites burocráticos y el sector determina el nivel de formalidad de una empresa establecida que ha dado el primer paso hacia la formalidad.

Se utiliza la Encuesta Nacional de la Micro y Pequeña Empresa con una muestra de 4.619 micro y pequeñas empresas peruanas de los sectores de manufactura y servicios con más de tres años de operación. Los datos son analizados con la técnica de regresión logística ordenada.

Los resultados muestran que cuanto más favorable es la percepción de los empresarios sobre la facilidad de los trámites burocráticos mayor es el nivel de formalidad empresarial, y las empresas del sector manufactura son menos formales que las del sector servicios. Además, las percepciones de los empresarios moderan positivamente en el nivel de formalidad para el caso de las empresas del sector manufactura.

Se analizan niveles de formalidad en empresas establecidas, definidas por el grado de cumplimiento de las exigencias para ser una empresa formal. Se amplía la literatura sobre informalidad empresarial en países emergentes, particularmente en América Latina, incorporando el análisis del proceso de formalización.

In this paper we give a synoptic view of the growth of the text processing technology of information extraction (IE) whose function is to extract information about a pre‐specified set of entities, relations or events from natural language texts and to record this information in structured representations called templates. Here we describe the nature of the IE task, review the history of the area from its origins in AI work in the 1960s and 70s till the present, discuss the techniques being used to carry out the task, describe application areas where IE systems are or are about to be at work, and conclude with a discussion of the challenges facing the area. What emerges is a picture of an exciting new text processing technology with a host of new applications, both on its own and in conjunction with other technologies, such as information retrieval, machine translation and data mining.

In developing countries, women microentrepreneurs are characterized as being informal, creating a challenge for the sustainability of their businesses. The purpose of this study is to analyze different businesses that adopt this form of operation arguing that formality is unnecessary because they are legitimate businesses (institutional reason). In addition, the role of gender in business management was incorporated, and the consistency of the results was validated in the context of COVID-19.

This study used data from the National Household Survey of Peru for the development of a compared analysis between the period 2018–2019 (pre-COVID-19), made up of a sample of 14,077 observations, and the period 2020–2021 (COVID-19), with 7,922 observations. The unit of analysis was the informal microenterprise with more than three years of operation, and the data was analyzed using a logistic model.

The probability of adopting informality for institutional reasons is more significant in the case of women in contrast to the men when it is a business belonging to the commerce sector and operating in a dwelling with basic services, while this probability decreases if the firm does not have a fixed location. These results are consistent in pre-COVID-19 and COVID-19 periods.

The purpose of this research was to contribute to closing gaps in the generation of evidence that helps to understand the behavior of informal microentrepreneurs in developing countries, allowing a better approach to this problem for the design and implementation of suitable public policies. All this will contribute to the accomplishment of the Sustainable Development Goals.

En países en desarrollo, las mujeres microempresarias se caracterizan por ser informales generando un desafío para la sostenibilidad de sus negocios. La presente investigación analizó diferentes negocios que adoptan esta forma de operación con el argumento de que la formalidad no es necesaria porque son negocios legítimos (motivo institucional); además, se incorporó el rol del género en la gestión del negocio, y se validó la consistencia de los resultados en un contexto de COVID-19.

Se utilizaron datos de la Encuesta Nacional de Hogares de Perú para el desarrollo de un análisis comparado entre el período 2018–2019 (pre-COVID-19), compuesto por una muestra de 14.077 observaciones, y el período 2020–2021 (COVID-19), con 7.922 observaciones. La unidad de análisis es la microempresa informal con más de tres años de operación y los datos son analizados mediante un modelo logístico.

Resulta mayor la probabilidad de adoptar la informalidad por motivos institucionales en el caso de las propietarias en contraste con los propietarios, cuando se trata de un negocio perteneciente al sector comercio y que funciona en una vivienda con servicios básicos, mientras que disminuye esta probabilidad si el negocio no posee un local fijo. Estos resultados son consistentes en tiempos de pre-COVID-19 y COVID-19.

La investigación tiene por fin contribuir al cierre de brechas en la generación de evidencia que ayude a comprender el comportamiento de las mujeres microempresarias informales en países en desarrollo, permitiendo una mayor aproximación a esta problemática para el diseño e implementación de políticas públicas adecuadas. Todo esto contribuirá con los Objetivos de Desarrollo Sostenible.

Nos países em desenvolvimento, as mulheres microempreendedoras caracterizam-se por serem informais, criando um desafio para a sustentabilidade dos seus negócios. A presente investigação analisou diferentes negócios que adotam essa forma de operação com o argumento de que a formalidade não é necessária por serem negócios legítimos (razão institucional); além disso, foi incorporado o papel do gênero na gestão empresarial e se validou a consistência dos resultados num contexto de COVID-19.

Se utilizaram dados da Pesquisa Nacional de Domicílios do Peru para desenvolver uma análise comparativa entre o período 2018–2019 (pré-COVID-19), composto por uma amostra de 14.077 observações, e o período 2020–2021 (COVID-19), com 7.922 observações. A unidade de análise é a microempresa informal com mais de três anos de operação e os dados são analisados através de um modelo logístico.

Resulta maior a probabilidade de adoção da informalidade por motivos institucionais no caso das proprietárias em contraste com os proprietários, quando se trata de um negócio pertencente ao setor do comércio e que funciona numa casa com serviços básicos, enquanto esta probabilidade diminui se o negócio não tem local fixo. Estes resultados são consistentes em tempos pré-COVID-19 e COVID-19.

A pesquisa tem como objetivo contribuir no fechamento de brechas na geração de evidências que ajude a compreender o comportamento dos microempreendedores informais nos países em desenvolvimento, permitindo uma melhor abordagem desta problemática para o desenho e implementação de políticas públicas adequadas. Tudo isto contribuirá para o cumprimento dos Objetivos de Desenvolvimento Sustentável.

Up to now a country-specific study on Qatar with respect to underground economy, illegal money and tax evasion has not been undertaken. This paper aims to contribute by separately estimating the magnitude of the underground economy in Qatar from 1980 to 2010 using adjusted currency demand function.

The study uses the Zivot–Andrews unit root test for the stationarity analysis and applies the Gregory and Hansen long run cointegrating technique for estimating the underground economy based on the latest form of the currency demand function model. While the general to specific technique is used to estimate the short run error correction model.

The results show that the average size of the underground economy in Qatar is about 17.03 per cent of the official gross domestic products (GDPs). The average level of tax evasion as a per cent of the total non-oil tax revenues is estimated at around 16.50 per cent and is about 2.12 per cent of the official GDP. The average level of illegal money to the total money from banking sector is estimated at 26.70 per cent.

This study is the first to separately estimate the extent of the underground economy, illegal currency and tax evasion in Qatar. It overcomes the methodological errors and spurious estimation problems encountered in the previous studies that included Qatar with other countries based on cross-country data without taking into consideration the economic differences between countries. The authors believe that the findings may help the government of Qatar to re-formulate its economic policies, thus, enabling it to curb the growing underground economic activities.

The purpose of this paper is to show a standard RBC model, when augmented with a VAT evasion channel, where evasion depends on the consumption tax rate, can produce a hump-shaped consumption-Laffer curve.

The methodology is in the spirit of modern quantitative macroeconomic literature.

The model with VAT evasion can generate a peaking consumption tax revenue curve, which is a little discussed result in the taxation literature.

The paper contributes to the public finance literature by providing evidence for the importance of the evasion mechanism, while at the same time adding to the debate about the existence of a peak tax rate for consumption tax revenue.

Contrary to popular belief, raising VAT rate as a cheap way (being a tax on demand) to finance government expenditure, is still not a free lunch, and raising the rate, especially in a country with substantial VAT evasion, quickly leads to a drop in the revenue associated with that category.

This is the first study that provides a tractable model of VAT evasion, and a setup where consumption tax revenue curve is peaking.

This study aims to examine the nonlinear threshold effect of shadow economy on sustainable development in Africa while providing additional evidence on how this nonlinear threshold effect play out in economies with high and low developed financial/credit markets.

This study uses 37 African economies between 2009 and 2017 in a dynamic GMM panel model that controls for country, year and technological effects to ensure consistency and reliability of results and findings.

The results reveal that there is an inverted nonlinear U-shape nexus between the size of shadow economy and sustainable development in both short run and long run in Africa and across economies with high and low developed credit/financial market. Also, the threshold points beyond which the size of shadow economies dampens sustainable development is lower for economies with high financial/credit market development and higher in the long run.

These results have policy implications and recommendations and suggest that shadow economies can be beneficial to sustainable development particularly when the size of shadow economies are restrained from increasing beyond certain thresholds/levels. Moreso, to restrict the adverse effect of shadow economies on sustainable development, policymakers can rely on developing their financial/credit markets to tame the destructive nature of shadow economies on sustainable development. These results are robust to technological, year/time and country effects.

To the best of the author’s knowledge, this study examines for the first in the context of Africa, the nonlinear effect of shadow economies on sustainable development under low and high developed financial markets.