Designing a Pen-Based Data Collection Application for the Consumer Price Index: Lessons Learned

2001 ◽  
Vol 45 (6) ◽  
pp. 607-611
Author(s):  
Jean E. Fox
Keyword(s):  
Data Collection ◽  
Price Index ◽  
Consumer Price Index ◽  
Lessons Learned

scholarly journals FORECASTING THE CONSUMER PRICE INDEX IN YOGYAKARTA BY USING THE DOUBLE EXPONENTIAL SMOOTHING METHOD

2021 ◽  
Vol 2 (1) ◽  
pp. 1-7
Author(s):  
Syintya Febriyanti ◽  
Wahyu Aji Pradana ◽  
Juliana Saputra Muhammad ◽  
Edy Widodo
Keyword(s):  
Data Collection ◽  
Price Index ◽  
Consumer Price Index ◽  
Original Data ◽  
Exponential Smoothing ◽  
Percentage Error ◽  
Monthly Data ◽  
Double Exponential ◽  
Double Exponential Smoothing ◽  
Exponential Smoothing Method

The Consumer Price Index (CPI) is an indicator that is often used to measure the inflation rate in an area, or can be interpreted as a comparison between the prices of a commodity package from a group of goods or services consumed by households over a certain period time. The spread of COVID-19 throughout the world affects the economy in Indonesia, especially Yogyakarta. Forecasting CPI data during the COVID-19 pandemic has the benefit of being an illustration of data collection in the CPI of D.I Yogyakarta Province in the predicted period. This is useful as a comparison with the original data at the time of data collection and publication, as well as a consideration in making policies and improving the economy. Researchers use the Double Exponential Smoothing (DES) method to predict the CPI of Yogyakarta D.I Province, which aims to determine the best forecasting model and forecasting results. This method is rarely used in research on CPI data forecasting in Yogyakarta. The data in this study are monthly data from March 2020 to August 2021. The highest CPI in Yogyakarta occurred in August 2021 at 107.21 or 107.2, while the lowest CPI in Yogyakarta occurred in April 2020 at 105.15 or 105.2. The average CPI in Yogyakarta per month is 106.1. The Mean Absolute Percentage Error (MAPE) value obtained from the DES method is 0.1308443%, so that the accuracy of the model is 99.869%. Forecasting with the DES method is quite well used in forecasting the CPI data of Yogyakarta in September 2020 - November 2021. The results of CPI forecasting in Yogyakarta using the DES method were 107.2602, 107.3104, and 107.3606 from September-November.

EXPERIENCE IN CALCULATING THE CONSUMER PRICE INDEX IN FRANCE: STATISTICS AND POLICY

2021 ◽  
Vol 7 (201) ◽  
pp. 9-18
Author(s):  
M.A. Kozlova ◽  
Keyword(s):  
Data Collection ◽  
Historical Development ◽  
Price Index ◽  
Consumer Price Index ◽  
Critical Assessment ◽  
The Political ◽  
Economic Systems ◽  
Scientific Interest ◽  
Goods And Services ◽  
Two Factors

The article investigates the experience of forming the methodology for calculating the consumer price index (CPI) in France from the 1910s to the present. The peculiarities of the index functioning in France are determined by two factors: following the general trends in the development of the indicator methodology and the critical assessment by society of its role. In the first situation, the generalization of historical development is relevant in the light of the accumulation of experience in the formation of sample populations of settlements, points of sale and goods and services, that is necessary to improve the methodology of CPI calculation in other countries. The second situation of discussing the index functioning as an object of political manipulation in France is of scientific interest in order to study the significance of the indicator for society and transfer this experience to the socio-economic systems of other countries. The generalization of materials on data collection and computing techniques was carried out on the basis of dividing the CPI calculation into stages proposed by Rosstat and considered as standard within the framework of the international standard. The political context of the CPI development in France is presented in a separate part of the article on the basis of combining with methodology data for calculating the indicator.

Dampak Penerapan Perbankan Syari’ah Terhadap Pertumbuhan Ekonomi Negara: Kajian Perbandingan Malaysia dan Indonesia

2017 ◽  
Vol 1 (1) ◽  
pp. 37
Author(s):  
Hansen Rusliani
Keyword(s):  
Gross Domestic Product ◽  
Response Function ◽  
Price Index ◽  
Vector Autoregression ◽  
Consumer Price Index ◽  
Domestic Product

Penelitian ini bertujuan untuk mengetahui dampak perbankan syari’ah terhadap pertumbuhan ekonomi di Indonesia dan Malaysia. Data yang digunakan dalam penelitian ini merupakan data primer (interview) dan data sekunder dalam bentuk bulanan yang diperoleh dari Badan Pusat Statistik Ekonomi dan Keuangan Indonesia Bank Indonesia (SEKI-BI) dan Statistik Perbankan Syari’ah Bank Indonesia (SPS-BI) serta data dari Bank Negara Malaysia dan Departemen Statistik Malaysia dalam periode waktu kurun waktu 16 tahun, 2000 sampai dengan 2015. Observasi penelitian dilakukan di Indonesia dan Malaysia untuk memperkaya analisis. Penelitian ini menggunakan Vector Autoregression (VAR), Uji Kointegrasi serta dikombinasikan dengan Response Function (IRF) dan Decomposition (FEVD) untuk melihat interaksi antara faktor makro ekonomi dengan pembiayaan dalam jangka panjang. Adapun variabel yang digunakan adalah total pembiayan syari’ah (Total Syari’ah Financing) dan Gross Domestic Product (GDP) sebagai representasi pertumbuhan ekonomi. Untuk tambahan variabel digunakan Consumer Price Index (CPI) sebagai representasi tingkat inflasi. Hipotesis penelitian yaitu terdapat pertumbuhan ekonomi setiap tahunnya dikedua negara tersebut pasca krisis moneter.

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