Este é um artigo rápido para criar uma pirâmide etária em valores absolutos, considerando os dados de Homens e Mulheres extraído divulgação das projeções populacionais do IBGE de 22-08-2024

Using the R package "fipe" to extract car prices.

This is an undergrad student level instruction for class use.

This is an undergrad student level instruction for class use. ETS forecast for PETR4 and VALE3 stocks

This is an undergrad student level instruction for class use.

This is an exercise for class use.

Seasonal adjustment and forecast using the seasonal package and X13-ARIMA-SEATS

Exercício com dados de Morettin e Toloi para o modelo hierárquico com pacote thief de Hyndman (2016).

This is an undergrad student level instruction for class use. The reader is encouraged to enhance the model changing the train data. We used the GOOG data.

This is a class example to forecast a time series from Morettin e Toloi (2006) using exponential smoothing methods (SES, Holt and Holt-Winters).

modeltime examples with the airpassengers dataset

Vamos aqui reproduzir o código do video de Dataprofessor - Chanin Nantasenamat: https://youtu.be/XmSlFPDjKdc. O código original em linguagem python do Jupyter Lab está em https://github.com/dataprofessor/code/tree/master/python/iris.

class exercise.

Time series decomposition of GDP China series - Huang e Petukhina 2022 - Applied Time Series Analysis and Forecasting with Python

Initial instructions to create a Quarto document to further use in time series with Python.

We analyse specifications of lagged variables to the Wooldridge's example 10.4. This is an exercise using the dynlm package.

In this example, I plot several time series plot using Brazilian GDP data from the Central Bank of Brazil, using several packages: rbcb, lattice, ggplot2, dygraphs.

O objetivo deste material é capacitar o estudante a realizar aplicações com séries temporais, previsões futuras e decomposição da sazonalidade, tendência e ciclos em séries econômicas.

Este é um artigo rápido para criar uma pirâmide etária em valores absolutos (o leitor pode preferir fazer em porcentagem do total), considerando os dados de Homens e Mulheres extraído da plataforma SIDRA-IBGE, tabela 6706.

We illustrate how you can combine ggplot2 and make htmlwidget combined with ggiraph package. We also illustrate how to use ggradar to make radar plots.

The basic idea is to describe the math to obtain some regional economics indexes to compute the Normalized Concentration Index (ICN) by principal components. Say: Location Quotient (LQ); a modified Herfindahl-Hirschman (IHHm); Relative Share (PR).

This is an initial post regarding Quarto in RStudio.

This is an undergrad student level exercise for class use. We analyse data on Barium market, from 1978m02 to 1988m12.

This is an undergrad student level exercise for class use.

Income inequality in the USA, 1910-2010 - Piketty (2013)

This is an undergrad student level exercise for class use

We analyse different money supply concepts and its relation to the GDP. The example is draw following Gujarati and Porter (2011, p.157) using Python in RStudio.

This is an undergrad student level exercise for class use. Ask Help to code in R.

This is an undergrad student level instruction for class use.

This is an undergrad student level instruction for class use.

This is an undergrad student level instruction for class use. We use a complex survey dataset from IBGE, with the POF - Consumer Expenditure Survey

This is an undergrad student level exercise for class use. Kmenta's dataset and code from the systemfit package.

This is an undergrad student level exercise for class use. We analyse 139 municipal cross-section data for the Brazilian State of Mato Grosso on a static growth model.

This is an undergrad student level instruction for class use.

This is an exercise for class use. Deflation of the ICMS of Mato Grosso do Sul using data from IPEADATA and BCB.

This is an exercise for class use.

This is a partial version of the econometrics textbook course at the Federal University of Mato Grosso do Sul, Brazil, city of Campo Grande-MS. It's designed for a basic econometrics course, mainly with multiple regression using RStudio and R.

Two sample comparisons for their mean and variance.

São dados anuais de investimento imobiliário real per capita (invpc em milhares de USD) e um índice de preços de imóveis (price, 1982=1) dos EUA de 1947 a 1988.

É uma investigação sobre os efeitos de processos anti-dumping sobre importações americanas de bário da China (ver enunciado em Wooldridge (2006, p.325)). A presença de sazonalidade pode estar desestabilizando as séries e induzindo a regressão espúria devido à não-estacionariedade causada pelas sazonalidades.

This is an undergrad student level exercise for class use. We analyse different equations for the demand for chickens. The example is draw following Gujarati and Porter (2011, p.235-236), portuguese edition.

Class exercises using Longley data with R and Python, source code from Kuan-Lin Pin (http://web.pdx.edu/~crkl/ceR/)

The example is a simplified exercise using cross-validation in time series with the fable package.

The example is a simplified exercise using a linear multiple regression with the package performance.

This is an undergraduate exercise to deflate the GDP and compute Geometric Growth Rate.

This is an exercise for class use. We analyse data on Retail consumption, from January/2000 to nowadays.

This is an undergrad student level instruction for class use. Shiny app to build a multiple linear regression using your own dataset.

This is an undergrad student level instruction for class use. The reader is encouraged to enhance the model changing the train sample.

This is an exercise for class use. We analyse data on Retail consumption, from January/2000 to nowadays.

This is an undergrad student level instruction for class use. I reproduce Almuiña example in garchmodels packege.

This is an undergrad student level instruction for class use. Based on Perlin (2020), kindle edition.

This is an undergrad student level instruction for class use. I give two options to fill_gaps in a daily time series in fable environment.

This is an undergrad student level instruction for class use. We offer a code to compare two dataframes and return an indicator (dummy 1 if yes and 0 for no) if the two dataframes have the observation.

This is an undergrad student level instruction for class use

This is an undergrad student level instruction for class use.

This is an exercise for class use. We analyse data on Retail consumption, from January/2000 to January/2020.

We analyse a simple localization problem. Class exercise.

Exemplos de decomposição de séries temporais com o tsibble framework e cálculo manual do fator sazonal comparado com o obtido pelo stats::decompose.

Neste exemplo, reproduzimos o script de aula do Prof. Torres-Reyna (TORRES-REYNA, 2015). Os dados vem das notas de aula (https://www.princeton.edu/~otorres/DID101R.pdf).

Exemplo de Séries Temporais com dados do consumo de Morettin e Toloi.

Replication of Porsse and Vale (2020) available at http://www.nedur.ufpr.br/portal/wp-content/uploads/2020/08/09-insumo-produto-modelos-inter-regionais.pdf

We analyse a linear multiple regression of copper price in the USA, according to Gujarati and Porter (2011, p.460), portuguese edition.

This is an undergrad student level exercise for class use.

This is an undergrad student level exercise for class use. We analyse soy data, 117 observations.

This is an undergrad student level exercise for class use. Wooldridge Source: Collected by Kelly Barnett, an MSU economics student, for use in a term project. The data come from two sources: The Official Guide to U.S. Law Schools, 1986, Law School Admission Services, and The Gourman Report: A Ranking of Graduate and Professional Programs in American and International Universities, 1995, Washington, D.C. Data loads lazily.

This is an undergrad student level exercise for class use. We extract a Rpubs code.

This is an undergrad student level exercise for class use. We extract and plot Brazilian labor data using sidrar package for the 2019m07 to 2020m7.

This is an undergrad student level exercise for class use. We analyse data on Barium market, from 1978m02 to 1988m12.

We analyse specifications of dummy and trend variables to the Wooldridge's examples 10.4 and 10.8. This is an exercise using a linear multiple regression.

This is an undergrad student level exercise for class use. Big Andy’s Hamburger Sales example.

This is an undergrad student level exercise for class use. We estimate an equation using matrices.

This is an undergrad student level instruction for class use. We replicate Python in R chunks and Python in Python chunks in RMarkdown of RStudio.

This is an undergrad student level instruction for class use. This work is a small help to load MS Excel data into RStudio using copy (control+C) and paste (control+V).

This is an undergrad student level instruction for class use. We make Specialization maps for Mato Grosso do Sul, 2016, using employment data.

This is an undergrad student level instruction for class use. We make a shift-share decomposition analysis and introduce a Arcelus type decomposition.

This is an undergrad student level instruction for class use

This is an undergrad student level instruction for class use. Based on Torres-Reyna (2010)

This is an undergrad student level instruction for class use.

This is an undergrad student level instruction for class use.

This is an exercise for class use. We analyse data on Retail consumption, from January/2000 to nowadays.

Exercício para a serie de varejo de MS com X13ARIMA-SEATS

This is an exercise for class use. We analyse data on Retail consumption.

Drawing maps of Municipal HDI in the Brazilian State of Mato Grosso do Sul using `ggplot2` and `geobr` packages.

This is an undergrad student level exercise for class use.

Exercício do cap 10 do livro do Faraway (2014), Linear models with R, 2nd edition, adaptado de http://www.maths.bath.ac.uk/~jjf23/LMR/scripts2/varsel.R .

This is an undergrad student level exercise for class use. We analyse 139 municipal cross-section data for the Brazilian State of Mato Grosso on a static growth model.

We analyse multicollinearity using example from Gujarati's Econometrics by Example, 2nd edition - regression and principal components analysis. Women's work hours - regression and principal componente analysis.

We analyse heteroskedasticity using example 11.10 from Gujarati's Basic Econometrics.

We analyse a regression model using the WEF Global Competitiveness Index (GCI) dataset and the World Bank's package `data360r`.

This is an exercise for class use. We analyse data on Retail consumption, from January/2000 to nowadays and make forecast combination using `forecastHybrid` package.

Este artigo procura ilustrar os procedimentos para trabalhar com ações de uma empresa no âmbito dos métodos de séries temporais, com modelos da família ARCH. É baseado e adaptado a partir do script do Prof. Pedro Costa Ferreira (FGV) disponível em: <https://github.com/pedrocostaferreira/SeriesTemporais/blob/master/Aula8_GARCHmodel_PETR4.R>.

This is an undergrad student level instruction for class use. We try to ilustrate time series methods with hybrid models using `forecastHybrid` package.

This is an undergrad student level instruction for class use. We try to ilustrate time series methods with hybrid models (forecast combination), following Hyndman e Athanasopoulos (2018)

This is an undergrad student level instruction for class use. We use microdata (complex survey data) from IBGE - Brazil, year 2018, 5th interview, in order to do some calculations using PNADcIBGE package.

This is an exercise for class use. We analyse data on Retail consumption, from January/2000 to nowadays.

This is an undergrad student level instruction for class use. The vignette `decompr` is reproduced and adapted.

We analyse different specifications of dummy variables for the states in the explanation of the produced cotton. The example is a simplified exercise using a linear multiple regression.

This is an undergrad student level instruction for class use. We simulate different AR, MA and ARIMA processes.

This is an undergrad student level instruction for class use. We use data from Table 2.4 (Gujarati and Porter, 2011, p.67 - portuguese edition) in order to run a simple linear regression using the `lm()` function and also using matrices.

This is an undergrad student level instruction for class use. I use the retail index of Mato Grosso do Sul in order to estimate Holt-Winters models and evaluate accuracy.

This is an undergrad student level instruction for class use. We use decompositions methods in the retail series of Mato Grosso do Sul, Brazil.

Neste arquivo utilizo uma nuvem de palavras para ver as palavras mais impactantes do Evangelho segundo Mateus.

This is an undergrad student level instruction for class use. Example using pder::FinanceGrowth dataset.

This is an undergrad student level instruction for class use. EXAMPLE 7.6 WITH COMPLEX SAMPLE ADJUSTMENT AND WEIGHTS USING SVYGLM.

This is an undergrad student level instruction for class use.

This is an undergrad student level instruction for class use, drawing maps of location quotient using the `sf` package.

We analyse car prices in Brazil using the FIPE's table.

Este artigo procura ilustrar os procedimentos para trabalhar com métodos de séries temporais para Modelo híbrido em `opera`. Baseado em postagem de Rob J Hyndman (HYNDMAN, 2016).

This is an undergrad student level instruction for class use. We use a small 2x2 input-output Leontief's type matrix to ilustrate the output, employment and income multipliers (type I and II) and linkage effects (backward and forward).

This is an undergrad student level instruction for class use. We compute Location Quotients, diversity and ubiquity indexes, as well as specialization. We use EconGeo R-package and draw a diversity map. We also apply the RGI classification of geographical regions in the State of Mato Grosso do Sul, Brazil.

This is an undergrad student level instruction for class use. We calculate de rank-size rule (Zipf's Law) for Mato Grosso do Sul, 2015.

Este paper faz a reprodução do script do artigo de Millo and Piras (2012), splm: Spatial Panel Data Models in R. Journal of Statistical Software, 47(1), 1-38. URL: http://www.jstatsoft.org/v47/i01/.

This is an undergrad student level instruction for class use. We draw a map for the Brazilian State of Mato Grosso do Sul, define neighborhood matrices (queen, rook and distance) and calculate Moran's I and Anselin's LISA. We also draw LISA significance cluster maps.

Este material visa auxiliar na obtenção de séries econômicas do IPEAData diretamente do repositório, fazendo uso do pacote `ipeadatar` de Gomes(2019).

Economic indicators of the Brazilian State of Mato Grosso do Sul until Mar/2019

This is an undergrad exercise working with stocks and candlesticks plots.

We make a brief description of quantitative dataset types: cross-section, time series; and combination of both (as well as the panel data set)

This is an undergrad student level exercise for class use. The example is drawn following Greene (2003). The Longley data is in datasets package.

This is an undergrad student level exercise for class use. The example is drawn following Greene (2012,7ed.,p.28-29 e 1109), using multiple regression diagnostics.

Nesta seção faz-se uma breve sugestão de como instalar o R e o RStudio a fim de permitir seu uso nas rotinas rpubs

The objective of this material is to enable the student to make applications with time series, future forecasts and the decomposition of seasonality, trend and cycles in economic series.

This is an undergrad student level exercise for class use. We analyse data on 81 cars about MPG (average miles per gallons). The example is draw following Gujarati and Porter (2011, p.408-409), portuguese edition.

We analyse specifications of dummy and trend variables to the Wooldridge’s example 10.8. This is an exercise using a linear multiple regression.

We analyse soybean production at Sinop-MT with dummies to sepparate census sectors. We have 59 census sectors from the Brazilian Agricultural Census 2006.

We analyse specifications of dummy and trend variables to the Wooldridge's examples 10.4 and 10.8. This is an exercise using a linear multiple regression.

This is an undergrad student level exercise for class use. We analyse different equations for the demand for chickens. The example is draw following Gujarati and Porter (2011, p.235-236), portuguese edition.

We analyse different money supply concepts and its relation to the GDP. The example is draw following Gujarati and Porter (2011, p.157, portuguese edition) using Gujarati and Porter (2009, 5th english edition) datasets. The data may be obtained using the github: <https://github.com/amrofi/Gujarati-and-Porter-dataset>