Aplicação da inflação diária para previsão do IPCA

Since 2006, the Getulio Vargas Foundation (FGV) calculates a daily version of the Broad Consumer Price Index (IPCA), the official inflation index, calculated under the responsibility of the IBGE, the federal statistics agency in Brazil. Ardeo et. al. (2013) showed the importance of this indicator and how this daily information can be useful to a country that had high level of inflation. Despite the fact that this measure is a fair antecedent variable for inflation, due to some peculiarities concerning the collection period, the initial daily rating may not anticipate some effects, such as seasonal factors and the increase in prices controlled by the Brazilian Government. Hence, by taking into account the Monitor´s daily time series, this paper intends to forecast the IPCA for the first six days of data collection. The results showed up that the proposal technic improved the IPCA forecast in the beginning of data collection.

Relative prices in Latin America in periods of low inflation and structural change

Includes bibliography

Panamá: evolución económica durante 2007 y perspectivas para 2008

Incluye Bibliografía

The impact of climate change on the tourism sector in the Caribbean

The main aim of this study is to estimate the economic impact of climate change on nine countries in the Caribbean basin: Aruba, Barbados, Dominican Republic, Guyana, Jamaica, Montserrat, Netherlands Antilles, Saint Lucia and Trinidad and Tobago. A typical tourism demand function, with tourist arrivals as the dependent variable, is used in the analysis. To establish the baseline, the period under analysis is 1989-2007 and the independent variables are destination country GDP per capita and consumer price index, source country GDP, oil prices to proxy transportation costs between source and destination countries. At this preliminary stage the climate variables are used separately to augment the tourism demand function to establish a relationship, if any, among the variables. Various econometric models (single OLS models for each country, pooled regression, GMM estimation and random effects panel models) were considered in an attempt to find the best way to model the data. The best fit for the data (1989-2007) is the random effects panel data model augmented by both climate variables, i.e. temperature and precipitation. Projections of all variables in the model for the 2008-2100 period were done using forecasting techniques. Projections for the climate variables were undertaken by INSMET. The cost of climate change to the tourism sector was estimated under three scenarios: A2, B2 and BAU (the mid-point of the A2 and B2 scenarios). The estimated costs to tourism for the Caribbean subregion under the three scenarios are all very high and ranges from US$43.9 billion under the B2 scenario to US$46.3 billion under the BAU scenario.

Questionnaire and survey methodology. Saint Lucia: Survey of living condition and household budgets 2005/2006

This manual documents some of the material related to the Survey of Living Conditions and Household Budgets (SLC/HBS) conducted in Saint Lucia by the Kairi Consultants Limited and National Assessment Team between 2005 and 2006. The SLC/HBS is a sample survey which generates data on households and individuals in the country. The main objectives of this survey were (i) to collect information from households on their expenditure patterns, income and other characteristics and; (ii) to revise the 'average shopping basket' used in constructing the Consumer Price Index (CPI) for the country, and the relative weights of the items in the basket. The survey also provided valuable data for an assessment of the impact of socio-economic policies on the living conditions of the resident population in Saint Lucia. Further, data on households gathered in the survey also provide valuable inputs for the compilation of the country's National Accounts statistics relating to the household sector. This manual was developed by the Economic Commission for Latin America and the Caribbean (ECLAC) – Subregional Headquarters in the Caribbean as a supplementary document for the Caribbean Household Surveys Database (CHSD). The main components of this manual include survey methodology and the questionnaires used for data collection. The latter are included in the annex at the end of the document. All information contained therein was provided by the Statistics Department in Saint Lucia. The ECLAC Subregional Headquarters for the Caribbean is pleased to acknowledge the Saint Lucia Statistics Department for graciously consenting to the use of their surveys and metadata under the project Improving Caribbean Household Surveys. Due recognition must also be given to the Statistics and Economics Projection Division at ECLAC (Santiago) who provided guidance in the standardization of the datasets and the creation of the Caribbean Household Surveys Databank.

O regime de metas de inflação no Brasil: um exame teórico e empírico de seu funcionamento

The Inflation targeting regime is a concept of monetary policy which was adopted by several countries in the 90’s; Brazil being among these countries, having adopted it in 1999 after a currency crisis. With it theoretical structure regulated by the New – Classical theory and having as its main characteristic the prior announcement of a numerical target for the inflation, this regime was adopted by countries attempting to achieve a prices stability. The present project is going to explain the theoretical basis of the regime, as well as its implementation process in Brazil and the criticism it received. However, the main focus will be on the discussion of the employment of the IPCA (Consumer Price Index) as a measuring index for Brazil’s inflation

Métodos econométricos para a análise do índice de inflação no Brasil

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

O regime de metas de inflação no Brasil: uma análise empírica do IPCA

Inflation targeting regime is a monetary policy adopted by several countries in the 1990s, Brazil being among them, which adopted it in 1999 after a currency crisis. With a theoretical framework inspired by the new-classical theory, this regime is adopted by countries attempting to achieve price stability and it brings the prior announcement of a numerical target for inflation as a key feature. The present work aims at discussing the use of IPCA (Consumer Price Index) as a measuring index for Brazil's inflation after briefly explain the theoretical basis of the IT regime.

Previsão de demanda de veículos automotores através do modelo de regressão linear múltipla

This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model

Previsão de demanda de veículos automotores através do modelo de regressão linear múltipla

This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model

Evolución de precios agrarios percibidos y pagados por el agricultor en España (2000-2009)

La evolución de los precios de los alimentos en años recientes se ha evaluado en numerosos estudios considerando: el análisis de los márgenes comerciales y la evolución temporal de los precios, si bien, la mayoría de ellos centrados en la óptica del consumidor. En este artículo se analizó la evolución temporal de los precios de los alimentos en España en el período 2000-2009 desde el punto de vista del agricultor y ganadero. Concretamente se utilizó información relacionada con los precios percibidos, precios pagados y el índice de precios de consumo (IPC), y con técnicas de análisis de series temporales se analizó la existencia de relaciones de equilibrio a largo plazo entre las series. Los resultados reflejan una relación de equilibrio a largo plazo entre: los precios percibidos y pagados; el IPC y los precios percibidos. Las principales conclusiones muestran que, a pesar de los desequilibrios existentes a corto plazo, a largo plazo los precios percibidos y pagados tienden a una situación de equilibrio. Un elemento importante en la evolución del IPC lo constituyen los precios percibidos por los productos en el sector primario. Sin embargo, la fijación de los precios de los insumos (pagados) en el sector primario; lejos de regirse en el largo plazo por la evolución del IPC; no muestra una relación significativa con dicho indicador.

ANALISANDO A RELAÇÃO DOS VOLUMES DE EXPORTAÇÃO E DE IMPORTAÇÃO, PIB, TAXAS DE CÂMBIO E INFLAÇÃO NO PERÍODO DE 2004 A 2014.

Esta dissertação visa deslumbrar uma análise macroeconômica do Brasil, especialmente no que se refere à relação dos índices mensais dos volumes das exportações e das importações com os volumes mensais do PIB, da Taxa SELIC e as Taxas de Câmbio, conforme dados coletados no período de janeiro de 2004 a dezembro de 2014, através de pesquisa literária referente aos históricos sobre cada conceito envolvido no âmbito da macroeconomia das varáveis estudadas. Foi realizado um estudo de caso embasado em dados de sites governamentais, no período delimitado, empregando-se o método de regressão linear, com base na Teoria da correlação de Pearson, demonstrando os resultados obtidos no período do estudo para as varáveis estudadas. Desta maneira, conseguiu-se estudar e analisar como as variáveis dependentes (resposta): volume das exportações e volume das importações estão relacionadas com as varáveis independentes (explicativas): PIB, Taxa Selic e taxa de Câmbio. Os resultados apurados no presente estudo permitem identificar que existe correlação moderada e negativa, quando analisadas a Taxa Selic e a Taxa de Câmbio com os volumes das exportações e das importações, enquanto o PIB apresenta correlação forte e positiva na análise com os volumes das exportações e das importações

News.

Description based on: June 1985; title from caption.

BLS handbook of methods.

S/N 029-001-02729-0

Real effective exchange rates for 178 countries: A new database

We use data on exchange rates and consumer price indices and the weighting matrix derived by Bayoumi, Lee and Jaewoo (2006) to calculate consumer price index-based REER. The main novelties of our database are that (1) it includes data for 178 countries –many more than in any other publicly available database– plus an external REER for the euro area, using a consistent methodology; (2) it includes up-to-date REER values, such as data for January 2012; and (3) it is relatively easy to calculate REER against any arbitrary group of countries. The annual database is complete for 172 countries and the euro area for 1992-2011 and data is available for six other countries for a shorter period. For several countries annual data is available for earlier years as well, eg data is available for 67 countries from 1960. The monthly database is complete for 138 countries for January 1995-January 2012, and data is also available for 15 other countries for a shorter period. The indicators calculated by us are freely downloadable and will be irregularly updated.