A restatement of the welafare costs of inflation. The wast of scarce resources in the manufacturing , banking and household sectors

Lucas (2000) estimates that the US welfare costs of inflation are around 1% of GDP. This measurement is consistent with a speci…c distorting channel in terms of the Bailey triangle under the demand for monetary base schedule (outside money): the displacement of resources from the production of consumption goods to the household transaction time à la Baumol. Here, we consider also several new types of distortions in the manufacturing and banking industries. Our new evidences show that both banks and firms demand special occupational employments to avoid the inflation tax. We de…ne the concept of ”the foat labor”: The occupational employments that are aflected by the in‡ation rates. More administrative workers are hired relatively to the bluecollar workers for producing consumption goods. This new phenomenon makes the manufacturing industry more roundabout. To take into account this new stylized fact and others, we redo at same time both ”The model 5: A Banking Sector -2” formulated by Lucas (1993) and ”The Competitive Banking System” proposed by Yoshino (1993). This modelling allows us to characterize better the new types of misallocations. We …nd that the maximum value of the resources wasted by the US economy happened in the years 1980-81, after the 2nd oil shock. In these years, we estimate the excess resources that are allocated for every speci…c distorting channel: i) The US commercial banks spent additional resources of around 2% of GDP; ii) For the purpose of the firm foating time were used between 2.4% and 4.1% of GDP); and iii) For the household transaction time were allocated between 3.1% and 4.5 % of GDP. The Bailey triangle under the demand for the monetary base schedule represented around 1% of GDP, which is consistent with Lucas (2000). We estimate that the US total welfare costs of in‡ation were around 10% of GDP in terms of the consumption goods foregone. The big di¤erence between our results and Lucas (2000) are mainly due to the Harberger triangle in the market for loans (inside money) which makes part of the household transaction time, of the …rm ‡oat labor and of the distortion in the banking industry. This triangle arises due to the widening interest rates spread in the presence of a distorting inflation tax and under a fractionally reserve system. The Harberger triangle can represent 80% of the total welfare costs of inflation while the remaining percentage is split almost equally between the Bailey triangle and the resources used for the bank services. Finally, we formulate several theorems in terms of the optimal nonneutral monetary policy so as to compare with the classical monetary theory.

Information learning and the stability of fiat money

We analyze the stability of monetary regimes in a decentralized economy where fiat money is endogenously created, information about its value is imperfect, and agents only learn from their personal trading experiences. We show that in poorly informed economies, monetary stability depends heavily on the government's commitment to the long run value of money, whereas in economies where agents gather information more easily, monetary stability can be an endogenous outcome. We generate a dynamics on the acceptability of fiat money that resembles historical accounts of the rise and eventual colIapse of overissued paper money. Moreover, our results provide an explanation of the fact that, despite its obvious advantages, the widespread use of fiat money is a very recent development.

Demand expectations and the timing of stimulus policies

This paper proposes a simple macroeconomic model with staggered investment decisions. The model captures the dynamic coordination problem arising from demand externalities and fixed costs of investment. In times of low economic activity, a firm faces low demand and hence has less incentives for investing, which reinforces firms’ expectations of low demand. In the unique equilibrium of the model, demand expectations are pinned down by fundamentals and history. Owing to the beliefs that arise in equilibrium, there is no special reason for stimulus at times of low economic activity.

A coordination approach to the essentiality of money

The essentiality of money is commonly justi ed on e¢ ciency grounds. In this paper, we propose an alternative view on the essentiality of money. We consider an economy with llimited monitoring where agents have to coordinate on the use of two alternative technologies of exchange, money and credit. We show that although credit strictly dominates money from an e¢ ciency perspective, money is essential for coordination reasons. If agents are patient, the region of parameters where they coordinate in the use of money strictly contains the region of parameters where they coordinate in the use of credit

Bias from ignoring price dispersion in demand estimation

Consumers often pay different prices for the same product bought in the same store at the same time. However, the demand estimation literature has ignored that fact using, instead, aggregate measures such as the “list” or average price. In this paper we show that this will lead to biased price coefficients. Furthermore, we perform simple comparative statics simulation exercises for the logit and random coefficient models. In the “list” price case we find that the bias is larger when discounts are higher, proportion of consumers facing discount prices is higher and when consumers are more unwilling to buy the product so that they almost only do it when facing discount. In the average price case we find that the bias is larger when discounts are higher, proportion of consumers that have access to discount are similar to the ones that do not have access and when consumers willingness to buy is very dependent on idiosyncratic shocks. Also bias is less problematic in the average price case in markets with a lot of bargain deals, so that prices are as good as individual. We conclude by proposing ways that the econometrician can reduce this bias using different information that he may have available.

Value-for-money e geração de valor público na atuação das organizações sociais de saúde : contribuições para o governo do estado de São Paulo

O fato de que o Estado brasileiro deve, de acordo com sua Carta Magna, garantir o direito de seus cidadãos à saúde não significa, necessariamente, que a provisão destes serviços tem de ser feita diretamente pelo poder público. As parcerias com organizações sociais, previstas na Lei Federal 9.637/1998 e regulamentadas pelos Contratos de Gestão, pretendem oferecer uma alternativa à eficiência, agilidade e flexibilidade na assistência à saúde. Entretanto, a estrutura dos contratos de gestão com Organizações Sociais de Saúde (OSS), elaborada com a pactuação de metas e indicadores de desempenho, não pode ser considerada, isoladamente, como fator garantidor da prestação adequada de tais serviços públicos. É fundamental considerar neste contexto os arranjos organizados pelo poder público para assegurar que os serviços oferecidos representam o que, de fato, os cidadãos consideram valor. O presente trabalho tem como objeto as parcerias com OSS no âmbito do governo do estado de São Paulo. As entrevistas realizadas e as pesquisas empreendidas na confecção deste estudo revelam que, caso se pretenda trabalhar com estas parcerias sob uma perspectiva de value-for-money e geração de valor público, faz-se necessário aprimorar os mecanismos de escuta aos cidadãos, os arranjos de governança colaborativa entre entes federados, o alinhamento com órgãos de controle e, sobretudo, qualificar a capacidade organizacional do Estado e das OSS, por meio da revisão das metas e indicadores dispostos nos contratos de gestão.

Microinsurance: income risk, social security and the demand for private onsurance by low-income families

Insurance provision against uncertainties is present in several dimensions of peoples´s lives, such as the provisions related to, inter alia, unemployment, diseases, accidents, robbery and death. Microinsurance improves the ability of low-income individuals to cope with these risks. Brazil has a fairly developed financial system but still not geared towards the poor, especially in what concerns the insurance industry. The evaluation of the microinsurance effects on well-being, and the demand for different types of microinsurance require an analysis of the dynamics of the individual income process and an assessment of substitutes and complementary institutions that condition their respective financial behavior. The evaluation of the microinsurance effects on well-being, and the demand for different types of microinsurance require an analysis of the dynamics of the individual income process and an assessment of substitutes and complementary institutions that condition their respective financial behavior. The Brazilian government provides a relatively developed social security system considering other countries of similar income level which crowds-out the demand for insurance and savings. On the other hand, this same public infrastructure may help to foster microfinance products supply. The objective of this paper is to analyze the demand for different types of private insurance by the low-income population using microdata from a National Expenditure Survey (POF/IBGE). The final objective is to help to understand the trade-offs faced for the development of an emerging industry of microinsurance in Brazil.

M-PESA mobile money: a case study in Blue ocean strategy

The recent and widespread availability of affordable mobile phone technology in developing countries has paved the way for the development of a number of mobile money and electronic remittance services. One of the most successful of these services is Safaricom’s M-PESA program, launched in the East African nation of Kenya in March 2007. Since then, the program has successfully enrolled over 15.2 million users, transferred more than US$1.4 trillion in electronic funds, and contributed significantly to poverty alleviation and financial inclusion efforts in Kenya. M-Pesa is a mobile phone based money transfer system in Kenya which grew at a blistering pace following its inception in 2007. This case study will analyze the critical factors that make M-PESA such a unique success in Kenya specifically.

Show me the money and I will bring you the head: evaluation of the effects of self-interest and anger on whistleblowing

Though many of those who decided to report wrongdoings in their organizations were able to tell their stories (e.g. Bamford, 2014, Armenakis 2004), it is fair to say that there is still much left to uncover. The paper aims to contribute to the literature in three ways. First, it provides preliminary evidence that the wrongdoing linked with individual financial loss leads to higher whistleblowing rate. Secondly, it shows how the experience of anger is related to the higher likelihood to report the wrongdoer but only if the wrongful act is perceived as a cause of one’s financial loss. Finally, the paper establishes first steps for the future development of an experimental procedure that would enable to predict, and measure whistleblowing behavior in the lab environment.

Prediction equations to estimate the demand of energy and crude protein for maintenance, gain and egg production for laying Japanese quails

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Determination of the chemical oxygen demand (COD) using a copper electrode: a clean alternative method

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Power flow for primary distribution networks considering uncertainty in demand and user connection

This paper presents a method for calculating the power flow in distribution networks considering uncertainties in the distribution system. Active and reactive power are used as uncertain variables and probabilistically modeled through probability distribution functions. Uncertainty about the connection of the users with the different feeders is also considered. A Monte Carlo simulation is used to generate the possible load scenarios of the users. The results of the power flow considering uncertainty are the mean values and standard deviations of the variables of interest (voltages in all nodes, active and reactive power flows, etc.), giving the user valuable information about how the network will behave under uncertainty rather than the traditional fixed values at one point in time. The method is tested using real data from a primary feeder system, and results are presented considering uncertainty in demand and also in the connection. To demonstrate the usefulness of the approach, the results are then used in a probabilistic risk analysis to identify potential problems of undervoltage in distribution systems. (C) 2012 Elsevier Ltd. All rights reserved.

The rating of perceived exertion predicts intermittent vertical jump demand and performance

The aims of this study were (a) to assess the ability of the rating of perceived exertion (RPE) to predict performance (i.e. number of vertical jumps performed to a fixed jump height) of an intermittent vertical jump exercise, and (b) to determine the ability of RPE to describe the physiological demand of such exercise. Eight healthy men performed intermittent vertical jumps with rest periods of 4, 5, and 6s until fatigue. Heart rate and RPE were recorded every five jumps throughout the sessions. The number of vertical jumps performed was also recorded. Random coefficient growth curve analysis identified relationships between the number of vertical jumps and both RPE and heart rate for which there were similar slopes. In addition, there were no differences between individual slopes and the mean slope for either RPE or heart rate. Moreover, RPE and number of jumps were highly correlated throughout all sessions (r=0.97-0.99; P0.001), as were RPE and heart rate (r=0.93-0.97; P0.001). The findings suggest that RPE can both predict the performance of intermittent vertical jump exercise and describe the physiological demands of such exercise.