scholarly journals Determination of consumer price index with generalized space-time autoregressive

2020 ◽  
Vol 456 ◽  
pp. 012076
Author(s):  
S Harini ◽  
N Nuronia
Keyword(s):  
Price Index ◽  
Consumer Price Index ◽  
Space Time

scholarly journals Empirical analysis of the determinants of the IPCA for the period of 2000 to 2011: an approach based on a SVAR model

2017 ◽  
Vol 31 (2) ◽  
Author(s):  
Mateus Boldrine Abrita ◽  
Eliane Cristina De Araújo ◽  
Angelo Rondina Neto
Keyword(s):  
Exchange Rate ◽  
Empirical Analysis ◽  
Autoregressive Model ◽  
Price Index ◽  
Aggregate Demand ◽  
Consumer Price Index ◽  
External Factors ◽  
Level Of Activity ◽  
Svar Model

This study examines empirically the determinants of the Brazilian inflation, measured by the Broad Consumer Price Index (IPCA) and its decomposition, estimating two equations and using an autoregressive model. The database covers the period from January 2000 to December 2011. Five main groups are mentioned as the determinants of inflation: i) Aggregate Demand; ii) Aggregate Supply; iii) Exchange Rate; iv) Salaries and v) Inertia. The evidences reveals that inertia, external factors and the supply conditions overlap the demand in the determination of the Brazilian inflation. Thus, inflation shows to be little sensitive to the level of activity. 

scholarly journals Problems Of Statistical Accounting In Russian Price Index Determination

2020 ◽  
Vol 8 (15) ◽  
pp. 272-285
Author(s):  
Elena V. Konvisarova ◽  
Tatiana A. Levchenko ◽  
Artem A. Pustovarov
Keyword(s):  
Price Index ◽  
Consumer Price Index ◽  
Digital Electronics ◽  
Pass Through ◽  
Statistical Sample ◽  
Exchange Rate Pass Through ◽  
Frequent Sampling ◽  
Fiscal And Monetary Policy ◽  
Entire Economy

The distortion of statistical data during determination of the price index of Russia can comprehensively affect the development of the entire economy through fiscal and monetary policy, since this indicator is the basic one. Using digital electronics as an example, the article considers the deviation of the dynamics in the consumer price index from the data of retailers. The paper draws attention to the transfer of value to the prices of imported products (exchange rate pass-through), which, given the current supply structure, justifies price increase in the real sector of the economy. They revealed the reason of the statistical sample deviation for the index calculation, which contributed to the formation of deflation in the state statistics within the digital electronics segment. During calculations, the statistical agency operates preliminary unpopular goods that make the sample unrepresentative, which leads to the indicator distortion. They analyzed the aspects of the possible impact of cheap goods on the market, qualitative changes in digital electronics products, and FSSS approaches to international recommendations. The characteristics of smartphones defined by FSSS and consumers' preferences are compared. They considered inflation dynamics in the digital electronics segment. They considered the structure of consumer spending on non-food products, regarded by FSSS to calculate the consumer price index. To solve the problem, they proposed to conduct more frequent sampling adjustments based on market research, as well as update and expand the specifications used.

scholarly journals Money Supply, Deficit, and Inflation in Pakistan

1995 ◽  
Vol 34 (4III) ◽  
pp. 945-956 ◽  
Author(s):  
Mohammad Aslam Chaudhary ◽  
Naved Ahmad
Keyword(s):  
Money Supply ◽  
Price Index ◽  
Consumer Price Index ◽  
Policy Implications ◽  
Structural Factors ◽  
The Public ◽  
The Relationship ◽  
Distribution Of Income ◽  
Double Digit

Inflation is a burning issue in Pakistan. It is generally felt that for several years Pakistan has had a double-digit inflation. The public sector has used a mix of policies to control inflation, and it is also held responsible for its creation. The consumer price index (CPI) increased over 11 percent in 1981-82, and over 12 percent in 1990-91. Similarly, sensitive price index (SPI) increased over 15 percent in 1981-82, and over 12 percent in 1990-91. The GDP deflator was also double-digit for several years. Inflation not only affects sectoral allocation and distribution of income but also generates poverty. A prescription might not be appropriate until the roots of the disease are carefully investigated, which is the very reason for carrying out this study. Studies by Hossain (1990) several others concluded that inflation is a monetary phenomenon in Pakistan, while Bilquees (1988) showed that structural factors explained the inflationary process in Pakistan. It is widely disagreed whether money supply is exogenous or endogenous. Vogel (1974), criticising the monetarist approach, argued that further research is needed on the determination of money supply. Given this background, this study is intended to identify the variables leading to inflation; the nature of money supply, endogenous or exogenous, is also analysed. Section 2 of the study provides a brief review of the literature. A model is developed to study the relationship among fiscal deficit, money supply, and inflation. Section 3 contains a description of the empirical results. Section 4 provides the conclusion and policy implications.

scholarly journals Determination of the causal relationship between beef prices and the consumer price index in Turkey

2019 ◽  
Vol 43 (3) ◽  
pp. 353-358 ◽  
Author(s):  
Ahmet Cumhur AKIN ◽  
Mustafa Bahadır ÇEVRİMLİ ◽  
Mehmet Saltuk ARIKAN ◽  
Mustafa Agah TEKİNDAL
Keyword(s):  
Causal Relationship ◽  
Price Index ◽  
Consumer Price Index ◽  
Beef Prices

scholarly journals PEMODELAN INDEKS HARGA KONSUMEN DI JAWA TENGAH DENGAN METODE GENERALIZED SPACE TIME AUTOREGRESSIVE SEEMINGLY UNRELATED REGRESSION (GSTAR-SUR)

2018 ◽  
Vol 7 (4) ◽  
pp. 337-347
Author(s):  
Mega Fitria Andriyani ◽  
Abdul Hoyyi ◽  
Hasbi Yasin
Keyword(s):  
Price Index ◽  
Consumer Price Index ◽  
Estimation Method ◽  
Space Time ◽  
Least Square ◽  
Seemingly Unrelated Regression ◽  
Residual Correlation ◽  
Central Java ◽  
Previous Time ◽  
Unrelated Regression

The Generalized Space Time Autoregressive (GSTAR) model with Seemingly Unrelated Regression (SUR) estimation method or often called GSTAR-SUR is more efficient to be used for residual correlation than Ordinary Least Square (OLS) estimation method. The SUR estimation method utilizes residual correlation information to improve the estimated efficiency resulting in a smaller standard error. The purpose of this research is to get the GSTAR-SUR model according to Consumer Price Index (CPI) data in four regencies or cities in Central Java namely Purwokerto, Surakarta, Semarang, and Tegal. Based on the assumed white noise assumption, the smallest MAPE and RMSE averages, the best model chosen in this research is the GSTAR-SUR(11)I(1) model with the heavy of normalized cross-correlation with the average MAPE value of 0.4455% and RMSE value of 0.80582. The best model obtained explains that the CPI data in Purwokerto, Semarang, and Tegal not only influenced by the previous time but also influenced by the locations. Meanwhile, the CPI data in Surakarta is only influenced by the previous time, but it is not affected by other locations. Keywords: SUR, OLS, Consumer Price Index

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.

The 2018 revision of the Consumer Price Index geographic sample

2016 ◽  
Author(s):  
Steven Paben ◽  
William Johnson ◽  
John Schilp
Keyword(s):  
Price Index ◽  
Consumer Price Index
Sign in / Sign up

Export Citation Format

Share Document