Forecasting accuracy and estimation uncertainty using VAR models with short- and long-term economic restrictions: a Monte-Carlo study

Using vector autoregressive (VAR) models and Monte-Carlo simulation methods we investigate the potential gains for forecasting accuracy and estimation uncertainty of two commonly used restrictions arising from economic relationships. The Örst reduces parameter space by imposing long-term restrictions on the behavior of economic variables as discussed by the literature on cointegration, and the second reduces parameter space by imposing short-term restrictions as discussed by the literature on serial-correlation common features (SCCF). Our simulations cover three important issues on model building, estimation, and forecasting. First, we examine the performance of standard and modiÖed information criteria in choosing lag length for cointegrated VARs with SCCF restrictions. Second, we provide a comparison of forecasting accuracy of Ötted VARs when only cointegration restrictions are imposed and when cointegration and SCCF restrictions are jointly imposed. Third, we propose a new estimation algorithm where short- and long-term restrictions interact to estimate the cointegrating and the cofeature spaces respectively. We have three basic results. First, ignoring SCCF restrictions has a high cost in terms of model selection, because standard information criteria chooses too frequently inconsistent models, with too small a lag length. Criteria selecting lag and rank simultaneously have a superior performance in this case. Second, this translates into a superior forecasting performance of the restricted VECM over the VECM, with important improvements in forecasting accuracy ñreaching more than 100% in extreme cases. Third, the new algorithm proposed here fares very well in terms of parameter estimation, even when we consider the estimation of long-term parameters, opening up the discussion of joint estimation of short- and long-term parameters in VAR models.

Estimação de parâmetros de demanda e oferta em mercados de produtos diferenciados

Este trabalho tem por objetivo discutir detalhadamente o desenvolvimento de métodos de estimação de parâmetros de demanda e oferta em mercados de produtos diferenciados. As técnicas apresentadas consideram explicitamente a endogeneidade dos preços e podem ser aplicadas a diferentes tipos de indústrias. O sistema de demandas de mercado é derivado a partir de modelos de escolha discreta descrevendo o comportamento do consumidor. Esse sistema é então combinado com hipóteses sobre as funções custo e sobre o comportamento de determinação dos preços por parte das firmas para gerar preços e quantidades de equilíbrio. Os parâmetros a ser estimados são os que determinam os custos marginais das firmas e a distribuição dos gostos dos consumidores. Essa distribuição determina elasticidades e estas, combinadas com o custo marginal e com uma hipótese de equilíbrio de Nash na determinação de preços, determinam preços de equilíbrio. Essas elasticidades e parâmetros de custo desempenham um papel central em análises de questões descritivas e de mudanças no ambiente do mercado sob análise.

Using consumer search cost and loyalty to explain dispersion in banking fees

Pode-se observar uma considerável dispersão entre os preços que diferentes bancos comerciais no Brasil cobram por um mesmo pacote homogêneo de serviços— dispersão esta que é sustentada ao longo do tempo. Em uma tentativa de replicar esta observação empírica, foi desenvolvido um simples modelo que lança mão do arcabouço da literatura de custos de procura (search costs) e que baseia-se também na lealdade por parte dos consumidores. Em seguida, dados de preços referentes ao setor bancário brasileiro são aplicados ao modelo desenvolvido e alguns exercícios empíricos são então realizados. Esses exercícios permitem que: (i) os custos de procura incorridos pelos consumidores sejam estimados, ao fixar-se os valores dos demais parâmetros e (ii) as correspondentes perdas de peso-morto que surgem como consequência dos custos de procura incorridos pelos consumidores sejam também estimadas. Quando apenas 80% da população é livre para buscar por bancos que cobrem menores tarifas, à taxa de juros mensal de 0,5%, o valor estimado do custo de procura médio incorrido pelos consumidores chega a 1805,80 BRL, sendo a correspondente perda de peso-morto média na ordem de 233,71 BRL por consumidor.

Factors affecting the technical efficiency of production of the Brazilian banking system : a comparison of four statistical models in the context of data envelopment analysis

This paper uses an output oriented Data Envelopment Analysis (DEA) measure of technical efficiency to assess the technical efficiencies of the Brazilian banking system. Four approaches to estimation are compared in order to assess the significance of factors affecting inefficiency. These are nonparametric Analysis of Covariance, maximum likelihood using a family of exponential distributions, maximum likelihood using a family of truncated normal distributions, and the normal Tobit model. The sole focus of the paper is on a combined measure of output and the data analyzed refers to the year 2001. The factors of interest in the analysis and likely to affect efficiency are bank nature (multiple and commercial), bank type (credit, business, bursary and retail), bank size (large, medium, small and micro), bank control (private and public), bank origin (domestic and foreign), and non-performing loans. The latter is a measure of bank risk. All quantitative variables, including non-performing loans, are measured on a per employee basis. The best fits to the data are provided by the exponential family and the nonparametric Analysis of Covariance. The significance of a factor however varies according to the model fit although it can be said that there is some agreements between the best models. A highly significant association in all models fitted is observed only for nonperforming loans. The nonparametric Analysis of Covariance is more consistent with the inefficiency median responses observed for the qualitative factors. The findings of the analysis reinforce the significant association of the level of bank inefficiency, measured by DEA residuals, with the risk of bank failure.

O novo federalismo social e o Rio: desenho de programas complementares de transferência de renda condicionada

Brazilian public policy entered in the so-called new social federalism through its conditional cash transfers. States and municipalities can operate together through the nationwide platform of the Bolsa Familia Program (BFP), complementing federal actions with local innovations. The state and the city of Rio de Janeiro have created programs named, respectively, Renda Melhor (RM) and Família Carioca (FC). These programs make use of the operational structure of the BFP, which facilitates locating beneficiaries, issuing cards, synchronizing payment dates and access passwords and introducing new conditionalities. The payment system of the two programs complements the estimated permanent household income up to the poverty line established, giving more to those who have less. Similar income complementation system was subsequently adopted in the BFP and the Chilean Ingreso Ético Familiar, which also follow the principle of estimation of income used in the FC and in the RM. Instead of using the declared income, the value of the Rio cash transfers are set using the extensive collection of information obtained from the Single Registry of Social Programs (Cadastro Único): physical configuration of housing, access to public services, education and work conditions for all family members, presence of vulnerable groups, disabilities, pregnant or lactating women, children and benefits from other official transfers such as the BFP. With this multitude of assets and limitations, the permanent income of each individual is estimated. The basic benefit is defined by the poverty gap and priority is given to the poorest. These subnational programs use international benchmarks as a neutral ground between different government levels and mandates. Their poverty line is the highest of the first millennium goal of the United Nations (UN): US$ 2 per person per day adjusted for the cost of living. The other poverty line of the UN, US$ 1.25, was implicitly adopted as the national extreme poverty line in 2011. The exchange of methodologies between federal entities has happened both ways. The FC began with the 575,000 individuals living in the city of Rio de Janeiro who were on the payroll of the BFP. Its system of impact evaluation benefited from bi-monthly standardized examinations. In the educational conditionalities, the two programs reward students' progress, a potential advantage for those who most need to advance. The municipal program requires greater school attendance than that of the BFP and the presence of students’ parents at the bimonthly meetings held on Saturdays. Students must achieve a grade of 8 or improve at least 20% in each exam to receive a bi-monthly premium of R$50. In early childhood, priority is given to the poor children in the program Single Administrative Register (CadÚnico) to enroll in kindergarten, preschools and complementary activities. The state program reaches more than one million people with a payment system similar to the municipal one. Moreover, it innovates in that it transfers awards given to high school students to savings accounts. The prize increases and is paid to the student, who can withdraw up to 30% annually. The total can reach R$3,800 per low-income student. The State and the city rewarded already education professionals according to student performance, now completing the chain of demand incentives on poor students and their parents. Increased performance is higher among beneficiaries and the presence of their guardians at meetings is twice compared to non beneficiaries; The Houston program, also focuses on aligning the incentives to teachers, parents and students. In general, the plan is to explore strategic complementarities, where the whole is greater than the sum of its parts. The objective is to stimulate, through targets and incentives, synergies between social actors (teachers, parents, students), between areas (education, assistance, work) and different levels of government. The cited programs sum their efforts and divide labor so as to multiply interactions and make a difference in the lives of the poor.