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1

Ghodke, Mohammad, and Purushottam Giri. "Consumer Price Index (CPI) – Types & Sources." Indian Journal of Community Health 35, no. 4 (December 31, 2023): 520–25. http://dx.doi.org/10.47203/ijch.2023.v35i04.020.

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The consumer price index is an important parameter to measure inflation. It reflects the relative changes in the prices of goods and services and its effect on inflation. These changes affect the real purchasing power of consumers and their welfare. It is used for regulation of wages, calculation of dearness allowance for workers and employees and for policy formations. Consumer price indices are of different types. Each type has its own significance. It is often difficult to identify the sources of consumer price indices and their specific uses.
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2

Wulandari, Sari, and Muhammad Dani Habra. "Analisis Perkembangan Indeks Harga Konsumen di Kota Medan." Journal of Economic, Bussines and Accounting (COSTING) 3, no. 2 (May 9, 2020): 412–18. http://dx.doi.org/10.31539/costing.v3i2.1162.

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The Consumer Price Index (CPI) is one of the important economic indicators that can provide information about the development of prices of goods and services (commodities) paid by consumers or the public especially the city community. This study aims to analyze the Development of the Consumer Price Index in Medan City. The benefits of this research are a description of the fluctuations in commodity prices for basic needs of the community at the level of consumers or retail traders. This type of research is descriptive qualitative. The subject in this study is the Central Statistics Agency and the object in this study is the Consumer Price Index through seven groups of household expenditure in 2018-2019. The results showed that the development of price indices in Medan City tends to fluctuate from seven types of household expenditure groups. During the January-December 2019 period the highest inflation of the seven types of expenditure was foodstuffs. Keywords: Consumer Price Index, Inflation Rate
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3

Imron, M., Wika Dianita Utami, Hani Khaulasari, and Firman Armunanto. "ARIMA MODEL OF OUTLIER DETECTION FOR FORECASTING CONSUMER PRICE INDEX (CPI)." BAREKENG: Jurnal Ilmu Matematika dan Terapan 16, no. 4 (December 15, 2022): 1259–70. http://dx.doi.org/10.30598/barekengvol16iss4pp1259-1270.

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The Consumer Price Index (CPI) is a indicator used by Badan Pusat Statistik (BPS) which describes the average change in the prices paid by urban consumers for a market basket of consumer goods and services in a certain period. The case on Consumer Price Index (CPI) of Probolinggo City, if the Consumer Price Index (CPI) increase then describe inflation occurs and conversely. The Consumer Price Index (CPI) of Probolinggo City increase is not fixed. This study is to forecast the Consumer Price Index (CPI) that the results can be used as one of the considerations in carrying out economic development in the future. Research focused on the data of Consumer Price Index (CPI) of Probolinggo City from January 2014 to April 2022. Methodology implemented in this study is Autoregressive Integrated Moving Average (ARIMA). Result show that ARIMA without an outlier was the best model for predicting Consumer Price Index (CPI) of Probolinggo City for the next 8 months. This model shows the value of MAPE is . The value of forecasting results in each month has decreased and increased not so significantly where in May 2022 the forecasting value was 108,391 then in June 2022 the forecasting value became 108,411 and so on until December 2022 the forecasting results using ARIMA model of 107,845.
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4

Hill, Peter. "Consumer price index manual." Statistical Journal of the United Nations Economic Commission for Europe 21, no. 2 (May 18, 2005): 87–93. http://dx.doi.org/10.3233/sju-2004-21201.

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5

Gage, Rob, and Patrick Jackman. "Chained Consumer Price Index." Industrial Relations 42, no. 2 (April 2003): 299–302. http://dx.doi.org/10.1111/1468-232x.00291.

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6

Hodgson, James. "The Consumer Price Index." Relations industrielles 8, no. 1 (February 25, 2014): 101–8. http://dx.doi.org/10.7202/1022980ar.

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Summary A brief study of the new index called Consumer Price Index (C .P. I.) which will replace the Cost of Living Index (C. L. I.). In order to make such a change, specialists were called in to work on this for nearly three years. During the survey begun in 1948, the most modern methods of sampling were used. Instead of 1935-1939, the base period chosen was 1949. In view of the increasing importance of the index in the labour world, the author analyses briefly the changes made in the former index and emphasizes the problems involved in such a changeover.
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7

Białek, Jacek. "Proposition of a hybrid price index formula for the Consumer Price Index measurement." Equilibrium 15, no. 4 (December 20, 2020): 697–716. http://dx.doi.org/10.24136/eq.2020.030.

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Research background: The Consumer Price Index (CPI) is a basic, commonly accepted and used measure of inflation. The index is a proxy for changes in the costs of household consumption and it assumes constant consumer utility. In practice, most statistical agencies use the Laspeyres price index to measure the CPI. The Laspeyres index does not take into account movements in the structure of consumption which may be consumers' response to price changes during a given time interval. As a consequence, the Laspeyres index can suffer from commodity substitution bias. The Fisher index is perceived as the best proxy for the COLI but it needs data on consumption from both the base and research period. As a consequence, there is a practical need to look for a proxy of the Fisher price index which does not use current expenditure shares as weights. Purpose of the article: The general purpose of the article is to present a hybrid price index, the idea of which is based on the Young and Lowe indices. The particular aim of the paper is to discuss the usefulness of its special case with weights based on correlations between prices and quantities. Methods: A theoretical background for the hybrid price index (and its geometric version) is constructed with the Lowe and Young price indices used as a starting point. In the empirical study, scanner data on milk, sugar, coffee and rice are utilized to show that the hybrid index can be a good proxy for the Fisher index, although it does not use the expenditures from the research period. Findings & Value added: The empirical and theoretical considerations con-firm the hybrid nature of the proposed index, i.e. in a special case it forms the convex combination of the Young and Lowe indices. This study points out the usefulness of the proposed price index in the CPI measurement, especially when the target index is the Fisher formula. The proposed general hybrid price index formula is a new one in the price index theory. The proposed system of weights, which is based on the correlations between prices and quantities, is a novel idea in the price index methodology.
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8

Chun, Hae-Jung. "The Influence of Consumer Sentiment on Housing Prices by Region: Using the VARX Model." Korea Association Of Real Estate Law 27, no. 3 (September 30, 2023): 29–42. http://dx.doi.org/10.32989/rel.2023.27.3.29.

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In order to examine the influence of consumer sentiment on housing prices by region, this study conducted an empirical analysis using the VARX model, including apartment sales price index, consumer sentiment index, apartment construction permit performance, corporate bond yield rate, and consumer price index. As a result of the VARX model estimation, the change rate of the housing consumer sentiment index has a significant positive (+) effect on the change rate of apartment sales prices, the change rate of the corporate bond yield has a negative (-), and the change rate of the consumer price index has a positive (+) effect in all regions. Looking at the coefficient values, it was found that consumer sentiment, corporate bond yield, and consumer price index had a greater impact on the rate of change in apartment sales prices in Seoul than in other regions. As a result of the impulse response analysis, the change rate of apartment sales price showed a positive (+) response to the shock of the change rate of housing consumption sentiment in all regions. The change rate of apartment sales price showed a weakly negative (-) response to the shock of the apartment construction permit performance in Seoul, was converged with a positive (+) response in nationwide and in non-metropolitan areas. It was found that the impact of the change rate of housing consumption sentiment in Seoul has a greater impact on the change rate of apartment sales prices than in other regions.
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9

Bonnarens, Joseph. "The Consumer Price Index and Prescription Drug Prices:." Journal of Research in Pharmaceutical Economics 9, no. 2 (November 3, 1998): 71–81. http://dx.doi.org/10.1300/j063v09n02_06.

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10

Boskin, Michael J., Ellen R. Dulberger, Robert J. Gordon, Zvi Griliches, and Dale W. Jorgenson. "Consumer Prices, the Consumer Price Index, and the Cost of Living." Journal of Economic Perspectives 12, no. 1 (February 1, 1998): 3–26. http://dx.doi.org/10.1257/jep.12.1.3.

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After presenting major findings and recommendations, the CPI Commission reiterates the estimate of a 1.1 percentage point per annum upward bias. It rejects the contention that the BLS already makes substantial corrections for quality change; that quality improvements and new products accrue only to the rich; and that procedures to make more extensive quality adjustments, valuations of new products, and adjustments for commodity and outlet substitution are impractical. The bias in the CPI can be sharply reduced, as the authors detail in this paper. Coauthors are Ellen R. Dulberger, Robert J. Gordon, Zvi Griliches, and Dale W. Jorgenson.
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11

Kozlova, М. A. "Törnqvist Formula for Сalculating a Consumer Price Index in Russia: Theory and Practice." Voprosy statistiki 27, no. 5 (October 26, 2020): 87–94. http://dx.doi.org/10.34023/2313-6383-2020-27-5-87-94.

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The article reflects the author’s position on the adjustment of the so-called substitution bias, which affects the value of the consumer price index, currently calculated using the Laspeyres formula. The author proposes a solution to the problem of the adequacy of statistical measurements of the dynamics of consumer prices in the case when, as a result of changing cost of the consumer basket, a buyer replaces a relatively expensive product with a relatively cheaper one. This solution is based on the existing index construction methodology (axiomatic, economic and stochastic approaches). The article substantiates the use of the Törnqvist formula, which has better properties in comparison with other formulae used in the construction of superlative indices. The authors calculated the Törnqvist price index for Russia based on Rosstat methodology and data using country-level quarterly group price indices and shares of consumer spending. To evaluate the results of empirical testing Laspeyres price index was compiled using the same quarterly data as the Törnqvist index. The values of the Törnqvist price index in most cases are less than the price dynamics obtained according to the Laspeyres formula. This conclusion is proved both theoretically and empirically, and it is confirmed for Russia as well. However, due to the non-observance of the conditions of smooth trends in consumer prices, the difference between the values of the Törnqvist and Laspeyres indices is significantly larger in certain quarters than that presented in empirical studies in other countries. Consumer price index, calculated using the Törnqvist formula, in the system of indicators of price statistics in Russia can be defined as an indicator that specifies the main consumer price index. Calculation of its value is necessary for a more realistic description of the processes taking place in the consumer market.
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12

Yuan, Gonglin, and Xiangrong Li. "A Modified Consumer Price Index." Modern Economy 01, no. 02 (2010): 112–17. http://dx.doi.org/10.4236/me.2010.12011.

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13

Białek, Jacek. "Consumer Price Index Measurement Bias." Gospodarka Narodowa 271, no. 3 (June 30, 2014): 63–80. http://dx.doi.org/10.33119/gn/100882.

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14

Appah, Ebimobowei, and Sekeme Felix Tebepah. "Money Market Instruments and Price Stability in Nigeria: 1981 – 2021." International Journal of Business and Management Review 11, no. 4 (April 21, 2023): 25–46. http://dx.doi.org/10.37745/ijbmr.2013/vol11n42546.

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The study examined money market instruments and price stability in Nigeria. The study specific objectives include to investigate the relationship between treasury bills, treasury certificates, development loans stock, bankers’ acceptance, commercial papers and federal government of Nigeria bonds on consumer price index in Nigeria. The study adopted purposive sampling technique and the sample size consist time series data from 1981 to 2021. The study used secondary data obtained from Central Bank of Nigeria (CBN) statistical bulletin and National Bureau of Statistics (NBS) and the data were analysed using univariate, bivariate and multivariate analysis. The findings from the error correction model indicated that treasury bills negatively and insignificantly influence consumer price index in Nigeria; treasury certificates positively and significantly influence consumer price index in Nigeria; development stocks positively and significantly affects consumer price index in Nigeria; certificates of deposits positively and insignificantly influence consumer price index in Nigeria; commercial papers negatively and insignificantly influence consumer price index in Nigeria; bankers’ acceptance positively and significantly influence consumer price index in Nigeria and federal Government of Nigeria bonds positively and insignificantly impact on consumer price index in Nigeria. On the basis of the findings, the study concludes that money market instruments on the short and long run affects price stability in Nigeria. Hence, the study recommends amongst others that government should established effective and efficient stabilization policies and quality of public sector governance that would ensure that prices of goods and services and money market instruments are stable for sustainable economic growth of Nigeria.
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15

Shang, Hanyang. "The Impact of COVID-19 on the US Consumer Price Index (CPI)." Highlights in Science, Engineering and Technology 92 (April 10, 2024): 112–19. http://dx.doi.org/10.54097/zghjvz66.

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This research investigates the profound impact of irregular commodity price changes during unusual circumstances, particularly focusing on the COVID-19 pandemic. The research stems from the recognition that global events have the potential to trigger irregular and drastic changes in commodity prices. This research holds significant implications for both consumers and policymakers in navigating the complexities of global crises. The research employs the Consumer Price Index (CPI) as a crucial indicator to chart drastic changes in consumer product prices from January 2019 to September 2023. To establish a baseline, CPI data from January 2010 to December 2018 is utilized, and an Autoregressive Integrated Moving Average (ARIMA) model is employed to forecast hypothetical CPI for the target period. The comparison between forecasted and observed CPI data reveals the vast influence of the COVID-19 pandemic on consumer prices. This research explores various subcategories of CPI, emphasizing sectors such as Food and Beverage, Transportation, Housing, and Medical Care. The research found that COVID-19 leads to delays and lagging effects in certain sectors reflecting the overall increase in consumer product prices. The Medical Care CPI also exhibited the most complexity, reflecting the immediate and direct impact of the pandemic on healthcare costs.
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16

Chevalier, Judith A., and Anil K. Kashyap. "Best Prices: Price Discrimination and Consumer Substitution." American Economic Journal: Economic Policy 11, no. 1 (February 1, 2019): 126–59. http://dx.doi.org/10.1257/pol.20150362.

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This paper proposes a method for aggregating prices when retailers use periodic sales to price-discriminate amongst heterogeneous customers. In the motivating model, loyal customers buy one brand and do not strategically time purchases, while Bargain Hunters always pay the lowest price available, the “best price.” In the model, the best price is part of an exact price index. Accounting for the best price also substantially improves the empirical match between conventional price aggregation strategies and actual prices paid by consumers. The methodology improves inflation measurement while imposing little burden on the data-collection agency. (JEL C43, D12, E31, L13, L81, M31)
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17

Hiris, Lorene S. "A Daily Inflation Index." American Economist 36, no. 2 (October 1992): 19–29. http://dx.doi.org/10.1177/056943459203600203.

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A index that closely approximates the rate of inflation in consumer prices has been constructed from eight components that are available daily. The index has been compiled monthly from January 1968 through June 1990, with the results shown in Figure 1. The Daily Inflation Index includes the prices of foods, textiles, metals and oil as quoted in the commodity markets and also an index of dollar exchange rates, the Treasury bill rate, a price index for utility stocks, and the price of gold. The index accounts for 84 percent of the variation in the CPI inflation rate from 1968 to 1990 and is expected to be used as an independent measure of inflationary trends. In essence, the Daily Inflation Index is designed to measure the market assessment of inflation and should provide hedgers, traders, and consumers with timely information about inflation.
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18

Sharma, Susan Sunila. "Can consumer price index predict gold price returns?" Economic Modelling 55 (June 2016): 269–78. http://dx.doi.org/10.1016/j.econmod.2016.02.014.

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19

Benedetti, Ilaria, Tiziana Laureti, Luigi Palumbo, and Brandon M. Rose. "Computation of High-Frequency Sub-National Spatial Consumer Price Indexes Using Web Scraping Techniques." Economies 10, no. 4 (April 14, 2022): 95. http://dx.doi.org/10.3390/economies10040095.

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The development of Information and Communications Technology and digital economies has contributed to changes in the consumption of goods and services in various areas of life, affecting the growing expectations of users in relation to price statistics. Therefore, it is important to provide information on differences in consumer prices across space and over time in a timely manner. Web-scraped data, which is the process of collecting large amounts of data from the web, offer the potential to improve greatly the quality and efficiency of consumer price indices. In this paper, we explore the use of web-scraped data for compiling high-frequency price indexes for groups of products by using the time-interaction-region product model. We computed monthly average prices for five entry-level items according to the Consumer Price Index for All Urban Consumers (CPI-U) classification and tracked their evolution over time in 11 USA cities reported in our dataset. Even if our dataset covers a small percentage of the CPI-U index, results show how web scraping data may provide timely estimates of sub-national SPI evolution and unveil seasonal trends for specific categories.
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20

Dinh, Doan Van. "WORLD CRUDE OIL PRICES IMPACT ON CONSUMER PRICE INDEX." Advances and Applications in Statistics 52, no. 1 (February 28, 2018): 33–54. http://dx.doi.org/10.17654/as052010033.

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21

Latifah, Latifah, Rifdah Atika Pasaribu, Rahmat Rizki Pulungan, and Muhammad Ikhsan Harahap. "Analisis Determinan Harga Saham Bris (Pt Bank Syariah Indonesia Tbk)." JPSDa: Jurnal Perbankan Syariah Darussalam 3, no. 2 (July 31, 2023): 111–27. http://dx.doi.org/10.30739/jpsda.v3i2.2152.

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This research is to analyze the efffect of liquidity ratios, profitability, bi rate, consumer price index and the money supply on BRIS stock prices. The method used in this research is descriptive quantitative method. In this study there are six variables consisting of five independent variables and one dependent variable. The independent variables in this study are the ratio of liquidity, profitability, bi rate, consumer price index and the money supply while the dependent variable is stock prices. Method analysis used multiple regression analysis. The results of this study indicate that ROA, BI rate, and money supply (JUB) partially affect BRIS stock prices with their respective significance levels, namely ROA of 0.0251, BI rate of 0.0000, Money in circulation of 0.0000. Meanwhile , the Current Ratio (CR) and Consumer Price Index (CPI) variables have no effect on BRIS stock prices. Based on this, it can be concluded that the independent variables jointly affect the BRIS stock price.
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22

Setiawan, Geofani, Fuad Muhajirin Farid, and Nur Salam. "PERMODELAN REGRESI NONPARAMETRIK SPLINE TERHADAP INFLASI DI PROVINSI KALIMANTAN SELATAN." RAGAM: Journal of Statistics & Its Application 1, no. 1 (December 23, 2022): 14. http://dx.doi.org/10.20527/ragam.v1i1.7337.

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Inflation is a condition of increasing prices continuously for a certain time. One of the factors thought to influence inflation, namely the Consumer Price Index (CPI), the Consumer Price Index (CPI) is an indicator that can be said to be important in determining the level of economic stability of a country. Seeing the relationship between the Consumer Price Index (CPI) and inflation, this study aims to explain how the influence and how the best model of the Consumer Price Index (CPI) on inflation in South Kalimantan Province uses Spline Nonparametric Regression. The use of the Spline Nonparametric Regression method in this study is because the data used has significant fluctuations so that it is estimated that the data is not normal. In the process, the Spline Nonparamteric Regression method is used to obtain the estimated regression curve through a data fitting approach. This method is also very suitable for use with data that changes frequently, spline is a model that has statistical, visual interpretation and has the ability to be generalized to complex and complex statistical models. The result of this research is that the best model is found at one knot point and the Consumer Price Index (CPI) has an effect on the inflation variable by 13.23 percent.Keywords: Inflation, Consumer Price Index, Spline Nonparametric Regression
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23

Maharani, Annaba, Hery Sulistio Jati Nugroho Sriwiyanto, and Faiza Husnayeni Nahar. "ANALYSIS OF EXCHANGE RATE PASS-THROUGH TO PRICE STABILITY IN INDONESIA 2010-2019." Journal of Applied Economics in Developing Countries 7, no. 1 (March 30, 2022): 1. http://dx.doi.org/10.20961/jaedc.v7i1.79420.

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<p>As an open country, the exchange rate affects Indonesia's macroeconomic stability, especially inflation. Extreme exchange rate depreciation can cause inflation to be high so it disrupts the ultimate goal of monetary policy, namely maintaining price stability. This study identifies the effect of the exchange rate on price stability and the transmission of the exchange rate to price stability. This study uses secondary data on the Nominal Effective Exchange Rate (NEER), Consumer Price Index (CPI), Output Gap, Import Prices, and Oil Prices. The period used is 2010-2019 as quarterly data. The method that will be used in this research is VECM which will look at impulse response and variance decomposition, looking at the long-term effect of variable shocks. The results of this study indicate that shock on the exchange rate affects price stability with direct pass-through between the exchange rate variable and the consumer price index. Recommendations for a good exchange rate policy will also result in a good price stability, this is shown by the consumer price index.</p>
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24

Rahayu Nangsi Paramata, Asda Rauf, and Ria Indriani. "Analysis of Hot Pepper (Capsicum frutescens L.) Vertical Market Integration in Gorontalo Province." World Journal of Advanced Research and Reviews 18, no. 2 (May 30, 2023): 1158–65. http://dx.doi.org/10.30574/wjarr.2023.18.2.0912.

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This research gives 1) an identification of hot pepper prices in Gorontalo Province, 2) an analysis of hot pepper price fluctuation in Gorontalo Province, and 3) an analysis of hot pepper vertical market integration in Gorontalo Province. It was undertaken in April-June 2022. The data used were secondary. The method was descriptive-quantitative, with analyses of IMC (Index of Market Connection), Coefficient of Variation (CV) by finding the standard deviation, and price fluctuation. The results demonstrated the highest price of hot pepper around IDR67,708.00/kg prevalent at the consumer level in 2019. The lowest one, that was around IDR26,392.00/kg came about at the producer level in 2018. The price mostly fluctuated at the consumer level with a coefficient of the standard deviation of 17,281.52. At the producer level, it came with a standard deviation of 12,202.82. Price stability was relatively small at the producer level with a low-price fluctuation but was relatively high at the consumer level that, accordingly, had a high price fluctuation. The IMC (Index Market of Connection) was 0.76. The market integration grew higher or stronger. That is, price changes at the consumer level could be significantly perceived by producers. It exhibited how prices at the retailer level affected prices at the farmer and consumer levels.
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Noor, Halida Sofiah, and Cucu Komala. "Analisis Indeks Harga Konsumen (IHK) Menurut Kelompok Pengeluaran Nasional Tahun 2018." Jurnal Perspektif 3, no. 2 (December 29, 2019): 110. http://dx.doi.org/10.15575/jp.v3i2.48.

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The Consumer Price Index is an important indicator of the financial market. The Consumer Price Index (CPI) is an index number that describes changes in prices of goods and services consumed by the public in general for a certain period with a predetermined time period. National expenditure according to CPI is divided into four sub-groups, namely the first general sub-group, the second sub-group of foodstuffs the third sub-group of processed foods, beverages, cigarettes and tobacco and fourth sub-group housing, water, electricity, gas and fuel development CPI 2018, every month from January to December tends to increase. Changes in CPI can describe the rate of increase (inflation) or the rate of decline (deflation) of goods or services. CPI can be regarded as a very important economic indicator and is used to represent changes in the average retail price level at the consumer level for a number of certain types of goods and services. The rise in the CPI can lead to an increase in interest rates, increase in money supply growth, increase the attractiveness of currencies, and increase inflation.
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SHAHBAZ, MUHAMMAD, ABU N. M. WAHID, and ADNAN HAIDER. "EMPIRICAL PSYCHOLOGY BETWEEN WHOLESALE PRICE AND CONSUMER PRICE INDICES: THE CASE OF PAKISTAN." Singapore Economic Review 55, no. 03 (September 2010): 537–51. http://dx.doi.org/10.1142/s0217590810003882.

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In a small open economy, the retail sector adds value with a lag to existing production and uses existing domestic production as an input. Therefore, demand side dynamics depend on the wholesale prices of the domestic goods, the prices of the imported goods, the nominal exchange rate, the level of indirect taxes, the marginal cost of retail production and interest rates. Hence, this mechanism provides a theoretical basis for causality from wholesale prices to consumer prices. Being motivated by this causal transmission mechanism, this paper tries to examine the causal relationship between wholesale prices and consumer prices in a small developing economy like Pakistan. Empirical methodology uses recently developed tests for the existence of a long-run relationship between wholesale prices and consumer prices. Typically, in applied analysis, testing for the existence of cointegration and causality can only be carried out once the time series properties of the data have been established. For example, tests for cointegration require the variables to be integrated to the same order, typically I(1), prior to estimation. By eliminating the need for unit root pre-testing, the tests applied here considerably simplify the inference procedure. They also reduce the potential for distortions in the inference due to the unknown properties of the testing sequence. Our findings include robust evidence that, for Pakistan, there is a bidirectional causality between wholesale prices and consumer prices. Feedback impact shows that influences from the wholesale price index (WPI) to the consumers' price index (CPI) is stronger or dominating as compared to feedback from CPI to WPI supporting the Cushing-McGarvey (1990) hypothesis.
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27

Konvisarova, Elena V., Tatiana A. Levchenko, and Artem A. Pustovarov. "Problems Of Statistical Accounting In Russian Price Index Determination." REICE: Revista Electrónica de Investigación en Ciencias Económicas 8, no. 15 (July 5, 2020): 272–85. http://dx.doi.org/10.5377/reice.v8i15.9958.

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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.
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28

Diewert, W. Erwin. "The Consumer Price Index and index number purpose." Journal of Economic and Social Measurement 27, no. 3-4 (October 1, 2001): 167–248. http://dx.doi.org/10.3233/jem-2003-0183.

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29

Diewert, W. Erwin. "Index Number Issues in the Consumer Price Index." Journal of Economic Perspectives 12, no. 1 (February 1, 1998): 47–58. http://dx.doi.org/10.1257/jep.12.1.47.

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This paper addresses the following issues: what is an appropriate theoretical consumer price index that statistical agencies should attempt to measure; what are some of the possible sources of biases between the fixed base Laspeyres price index that statistical agencies produce and the theoretical cost-of-living index; and what factors will make the biases larger or smaller and how will the biases change as the general inflation rate changes? This paper addresses all of the issues mentioned above and discusses what statistical agencies can do to reduce the biases.
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30

PAKES. "Hedonics and the Consumer Price Index." Annales d'Économie et de Statistique, no. 79/80 (2005): 729. http://dx.doi.org/10.2307/20777594.

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31

Richardson, David H. "Changes in the Consumer Price Index." Review of Radical Political Economics 29, no. 4 (December 1997): 150–58. http://dx.doi.org/10.1177/048661349702900410.

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32

Raji, Rahman olanrewaju. "Exchange Rate Pass Through in a Small Open Economy: A case study of West African Monetary Zone." Journal of Global Economy 9, no. 4 (December 28, 2013): 275–90. http://dx.doi.org/10.1956/jge.v9i4.301.

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The study investigated the magnitude of exchange rate pass through to import prices and domestic prices   (consumer price index) in WAMZ economy using quarterly time-series data between 2000 and 2010 with the aids of Vector autoregressive (VAR) modeling technique supported with Johansen co-integration approach cross country analysis comprising of Gambia, Ghana, Nigeria and Sierra-Leone. The study discovered that transmission of exchange rate to import prices is more when compared with consumer price in the zone while the contributions of exchange rate to import price are not less 13 percent at average in entire zone. Consumer price index was explained by exchange rate pass through with an average of 26 percent in the zone where the pass through to consumer price is less than two percent in Ghanaian economy. The Taylor (2000) hypothesis was observed in the study where Ghana and Nigeria are the outlier economies while Nigeria established a positive relationship between interest rate volatility and exchange rate pass through to import prices.
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33

Ali, Zeeshan, Toqeer Hassan, Hafiz M. Rizwan Khan, and Nadia Nasir. "A Bibliometric Analysis of Consumer Price Index (CPI) from 1999-2022 Using VOSviewer." Pakistan Journal of Humanities and Social Sciences 11, no. 2 (June 30, 2023): 2565–74. http://dx.doi.org/10.52131/pjhss.2023.1102.0548.

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The Consumer Price Index (CPI) tracks changes in consumer prices on a monthly basis. One of the most widely used indicators of inflation and deflation is consumer price index. The analysis for this research study is done for the period of 23 years and data is taken from well-known “Scopus” data base. The main and core purpose of this study is to investigate the significance and importance of consumer price index and find out about the noteworthy authors, countries, organization which have conducted their research on CPI. The software R-Studio and VOSviewer is used for all the analysis done in this study. The findings of this study are that mostly keyword “Consumer Price Index” used by the journal of Switzerland named “Our Knowledge Sustainability”, the organization that published more articles is Office for National Statistics, United Kingdom and the most publication is done by author Gupta R. This research work has also some limitations and future research directions and the main suggestion is to improve the academic collaboration and contribute to the creation of theoretical and empirical literature.
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34

Musandiwa, Joseph, and Collins C. Ngwakwe. "The Effect of Exchange Rates on Consumer Price Index." Oblik i finansi, no. 4(102) (2023): 47–52. http://dx.doi.org/10.33146/2307-9878-2023-4(102)-47-52.

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The consumer price index (CPI) is a crucial economic indicator of consumer price inflation, which has an attendance effect on the extent of savings and, hence, on investment capacity. The literature contains different opinions on the relationship between exchange rate and consumer price index; however, given the uniqueness of each country’s economic environment, it became apposite to focus the bearing of this paper on the South African economic context. Thus, this paper evaluates the effect of currency exchange rates on the consumer price index in South Africa. Time series data on CPI and exchange rates were drawn from the Fusion Media investment database and were analysed using the OLS regression. For the independent variables exchange rate, which is the Rand price against the Dollar, the authors applied lagg-2 given the assumption that exchange rate differences might take up to two months to affect the consumer price index. The authors’ assumption draws from the findings of eminent scholars, which indicate that, given sufficient time, changes in domestic prices would fully compensate for exchange rate adjustments. The analysis showed that exchange rate changes significantly and positively affect CPI within the data’s boundaries. The findings offer academic and practical implications for understanding the theoretical short-term period effect of the exchange rate on the consumer price index within the South African setting and for practical economic policy application for advanced policies to cushion potential negative effects on savings and investment. The paper provides an agenda for further study of the application of expanded time series to evaluate the effect of currency exchange rates on CPI over a longer period to unravel a theoretical difference between the short-term and long-term implications of exchange rates on CPI.
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35

Saragih, Sari Verawati, Fajar Restuhadi, and Jumatri Yusri. "Analisis Harapan dan Kinerja Bauran Pemasaran terhadap Kepuasan Konsumen pada Toko Viera Oleh-Oleh di Kota Pekanbaru." Indonesian Journal of Agricultural Economics 15, no. 1 (June 30, 2024): 23. http://dx.doi.org/10.31258/ijae.15.1.23-34.

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This research aims to determine consumer characteristics, analyze the level of importance and performance of the marketing mix, analyze the level of consumer satisfaction, and analyze marketing mix attributes to increase consumer satisfaction at Viera Souvenirs Pekanbaru. Sampling using Non Probably Sampling with method Purposive Sampling. Data were analyzed using descriptive analysis, Importance Performance Analysis, and Customer Satisfaction Index. The results of the research show that the highest to lowest level of importance of the marketing mix variables, respectively, are the physical evidence, price, people, product, process, promotion and location variables, while at the performance level the variables are location, process, product, people, physical evidence, promotion, and price. Based on the results of the cartesian diagram analysis, the attributes that are priority improvements are competitive prices, price affordability, and spatial design because according to consumers these attributes are important but their performance is low. Overall, consumers are satisfied with the performance of the marketing mix attributes at Viera Souvenirs Pekanbaru.
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36

Kozlova, M. A. "U.S. consumer price index in the second half of XX century: calculation strategy and ways of its changes." Statistics and Economics 16, no. 6 (December 26, 2019): 67–76. http://dx.doi.org/10.21686/2500-3925-2019-6-67-76.

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The purpose of this research is a detection of U.S. consumer price index development and change ways emerged in the second half of XX century. Consumer price index is considered as a practically evaluable index number.Materials and methods. This research is based on the methodology documents of U.S. Bureau of Labor Statistics and its theoretical and practical papers published in Monthly Labor Review. The basic method is historical and descriptive techniques.Results. Data generalization for U.S. consumer price index across five revisions is realized in structure of the calculation method, adapted by ROSSTAT for the national consumer price index. Firstly the dynamic of number of cities, included in consumer price survey and changes of its sample is analyzed. Secondly the principles of point of purchase sampling is in focus. Thirdly the set of goods and services and dynamics of its structure are considered. Fourthly there is a generalization of pricing procedure principles that is frequency according to the type of cities and feature of goods and services. Fifthly the source and limits of data collecting for weights which needed for consumer price index calculation on the high level of aggregation. And sixthly there is description of mean price and price index calculation.Conclusion. The main ways of development and transformation in U.S. consumer price index are defined. It may be considered as alternative solutions in consumer price index of other countries. The main ways are the increase of city and goods sampling, extension of probability use, formation of good classification, equal temporal interval of weight renovation and creation of price index system.
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37

Kim Quoc Trung, Nguyen. "Determinants of stock market modern development: Evidence from Vietnam." Journal of Eastern European and Central Asian Research (JEECAR) 9, no. 6 (December 3, 2022): 951–64. http://dx.doi.org/10.15549/jeecar.v9i6.987.

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The paper estimates the macroeconomic variables affecting the stock price in Vietnam from 2009 to 2019. Based on the used autoregressive distributed lag (ARDL) model, the test shows a co-integration between stock prices and macroeconomic factors. The findings explore the optimal delay in the ARDL model as (1, 2, 1, 2, 0, 0, 2). Concretely, statistically significant evidence proves that the consumer price index, gross domestic product, interest rate, money supply, and oil price are the determinants of the stock price in Vietnam. In particular, the consumer price index and GDP have a direct relationship with the stock market, while interest rate, money supply, and oil price have opposite effects.
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38

Sek, Kun. "Effect of oil price pass-through on domestic price inflation: Evidence from nonlinear ARDL models." Panoeconomicus 66, no. 1 (2019): 69–91. http://dx.doi.org/10.2298/pan160511021s.

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We intended to demonstrate that oil price can have a different passthrough effect into domestic prices at consumer and production levels subject to an oil dependency factor. The results were compared between oil-importing and oil-exporting countries. The nonlinear autoregressive distributed lags (NARDL) models were used to capture the asymmetric pass-through effects of oil price increases and decreases in consumer price and producer price respectively. Our results revealed that oil price changes can have asymmetric effect on consumer price index (CPI) inflation directly and indirectly with more influential impact of indirect effect. This result holds for both groups of countries. The effect on producer price is much larger especially in oil-importing group due to the high dependence of these countries on oil. Oil price changes did lead to increases in consumer prices in oil-importing countries. This may due to effective monetary policy that enhances price stickiness in the economy.
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39

Sheikh, Mohammad javad, Mohsen Nazem Bokaei, Hadi Alijani, Mohammad Saadatmand, Sayed Mojtaba Hosseini Fard, and Ismaeil Chezani Sharahi. "INVESTIGATING RELATIONSHIP BETWEEN CONSUMER PRICE INDEX AND PRODUCER PRICE INDEX AND DIVIDEND PER SHARE." Australian Journal of Business and Management Research 01, no. 07 (February 10, 2012): 121–28. http://dx.doi.org/10.52283/nswrca.ajbmr.20110107a13.

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Managers of economic institutions should possess some criteria in the stock exchange so that they can evaluate their performance and economic plans. Criteria for performance evaluation accounting can be used for evaluating performance and economic plans. One of the main criteria for performance evaluation accounting is reported accounting profit or dividends. This criterion is one of the main indexes for evaluating managers’ performance, and it is also a main criterion for decision-making on approval or rejection of economic plans. This index is influenced by different factors such as price index, especially consumer price index and producer price index. In this paper, relationship between producer price index and consumer price index is investigated in accepted firms in Tehran stock exchange. Dicky- Fuller Test is used for time series reliability and Pearson correlation coefficient and Granger-causality tests are used for investigating the relationship between variables. Finally, it was concluded that consumer price index has an inverse correlation with dividend per share (first hypothesis), and producer price index has a direct correlation with dividend per share (second hypothesis).
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40

Mitchell, Daniel J. B., and Dean Baker. "Getting Prices Right: The Debate over the Consumer Price Index." Industrial and Labor Relations Review 52, no. 2 (January 1999): 317. http://dx.doi.org/10.2307/2525170.

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41

Shah, Saleem, Irfan Hussain Khan, and Alamgir Khan. "Asset Price Channel of Monetary Policy in Pakistan." Global Economics Review VI, no. IV (December 30, 2021): 86–93. http://dx.doi.org/10.31703/ger.2021(vi-iv).07.

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This study has used Vector Auto-Regressive (VAR)model approach to analyze the Asset Price Channel of Monetary Transmission (APCMT) regarding Pakistan. Study use the date period of 34 years from 1980 to 2 14. Major findings of the study are; stock prices have bi-directional causality with industrial price index and money rte. Granger causality test was employed to check multi-directional causality between stock prices and industrial product index, money supply, money market rate,and consumer price index, whereas stock prices do not have significant causality with money supply and consumer price in ex.Descriptive statistics are used to check the normality of the data,and mean, median, standard deviation, Jerq-Berra, maximum and minimum values were calculated through descriptive statistics approach. For policy designing, this study has some important implications, and it gives emphasis on financial prices instead of credit to achieve the objective of the monetary policy of Pakistan.
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42

Laili, Ummiy Fauziyah. "ANALISIS TIME SERIES TERHADAP INDEKS HARGA KONSUMEN (IHK) KABUPATEN CILACAP DENGAN AUTOREGRESSIVE INTEGRATED MOVING AVERAGE DALAM PERSPEKTIF ISLAM." El-Qist: Journal of Islamic Economics and Business (JIEB) 2, no. 1 (April 25, 2012): 185–213. http://dx.doi.org/10.15642/elqist.2012.2.1.185-213.

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The economy is one of the cornerstone of life. Economic indicators can be seen from the consumer price index which shows the rate of increase or decrease the price by year basis. The increase of prices causes inflation of the area. One of the areas in Indonesia who receives the impact of rising prices or inflation is Cilacap district. Cilacap is the largest district in Central Java that economic development would have a major impact on the economy of Central Java Province. The levels of the economy Cilacap district can be seen from the consumer price index (CPI), the higher the Consumer Price Index (CPI) will lead to increasing inflation. CPI is an index that describes the development of prices of goods and services occurs. This research has been done on the CPI forecast for some future period using the Autoregressive Integrated Moving Average (ARIMA). Data CPI in January 2009 to June 2011 are used as training data for modeling purposes and obtained the following results: Zt = 0.205744 + 1.5996) + 0.4822 Zt Zt-1-2-1.0818-3 Zt While data on the CPI from July to December 2011 is used as the testing data and the data is obtained by the model error rate 0.0893988%. Based on ARIMA model equations have been obtained, it can be used to predict the value of the Consumer Price Index (CPI) in January 2012 for 128.4362, 128.9642 by February, the month of March 2012 at 129.4865, April 2012 at 130.0053, May 2012 at 130.5222, June 2012 at 131.0378, July 2012 at 131.5527, August 2012 at 132.0672, September 2012 at 132.5814 and 133.0954 of the month in October 2012. The results of the consumer price index forecasting for the coming months look up every month, the increasing prices are possible because of mismatch between demand and supplies due to imperfect competition in the market. According to public opinion, the higher prices to be paid because people do a monopoly significantly to reduce the income of employees and the poor in general, and this is inconsistent with the spirit of the Qur'an and Sunnah, because it is not sociable and depriving the poor people also society completely.
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43

Ma’ruf, Muhammad, Masdar Mas'ud, and Dahlia Baharuddin. "Pengaruh Return On Equity (ROE), Earning Per Share (EPS), dan Price to Book Value (PBV) Terhadap Harga Saham Sektor Consumer Goods (studi pada Jakarta Islamic Index (JII) periode 2018-2022)." Movere Journal 6, no. 1 (January 31, 2024): 34–46. http://dx.doi.org/10.53654/mv.v6i1.424.

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Penelitian ini bertujuan untuk menganalisis Return On Equity (ROE), Earning Per Share (EPS), dan Price to Book Value (PBV) Terhadap Harga Saham Sektor Consumer Goods Periode 2018-2022. Penelitian ini menggunakan data sekunder yang berupa laporan keuangan dan harga saham dari perusahaan Consumer goods yang terdaftar di Jakarta Islamic Indekx (JII) tahun 2018-2022 dengan teknik purposive sampling. Hasil penelitian ini menunjukkan bahwa Return On Equity (ROE) berpengaruh negatif dan signifikan terhadap harga saham sektor Consumer Goods di Jakarta Islamic Index (JII) periode 2018-2022, Earning Per Share (EPS) berpengaruh positif dan signifikan terhadap harga saham sektor Consumer Goods di Jakarta Islamic Index (JII) periode 2018-2022, Price to Book Value (PBV) berpengaruh positif dan signifikan terhadap harga saham sektor Consumer Goods di Jakarta Islamic Index (JII) periode 2018-2022. Return On Equity (ROE), Earning Per Share (EPS), dan Price to Book Value (PBV) secara simultan berpengaruh positif dan signifikan terhadap harga saham sektor Consumer Goods di Jakarta Islamic Index (JII) periode 2018-2022.
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44

Sobolev, Oleg S. "Food consumer and production prices and indices in the 2nd quarter of 2023." Economy of agricultural and processing enterprises, no. 9 (2023): 81–86. http://dx.doi.org/10.31442/0235-2494-2023-0-9-81-86.

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The article provides a formula for calculating the food price index. The scheme of calculating the FAO food price index is considered. The prices on the grain, milk and meat markets in Russia, the EU and the USA are analyzed. There is a resumption of growth in sugar prices on the domestic and global markets in the 2nd quarter of 2023.
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45

Dimopoulos, Thomas, Hristos Tyralis, Nikolaos P. Bakas, and Diofantos Hadjimitsis. "Accuracy measurement of Random Forests and Linear Regression for mass appraisal models that estimate the prices of residential apartments in Nicosia, Cyprus." Advances in Geosciences 45 (November 29, 2018): 377–82. http://dx.doi.org/10.5194/adgeo-45-377-2018.

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Abstract. The purpose of this article is to examine the prediction accuracy of the Random Forests, a machine learning method, when it is applied for residential mass appraisals in the city of Nicosia, Cyprus. The analysis is performed using transaction sales data from the Cyprus Department of Lands and Surveys, the Consumer Price Index of Cyprus from the Cyprus Statistical Service and the Central Bank of Cyprus' Residential Index (Price index for apartments). The Consumer Price Index and the price index for apartments record quarterly price changes, while the dependent variables for the computational models were the Declared and the Accepted Prices that were conditional on observed values of a variety of independent variables. The Random Forests method exhibited enhanced prediction accuracy, especially for the models that comprised of a sufficient number of independent variables, indicating the method as prominent, although it has not yet been utilized adequately for mass appraisals.
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46

Kelesbayev, Dinmukhamed, Kundyz Myrzabekkyzy, Artur Bolganbayev, and Sabit Baimaganbetov. "The Effects of the Oil Price Shock on Inflation: The Case of Kazakhstan." International Journal of Energy Economics and Policy 12, no. 3 (May 18, 2022): 477–81. http://dx.doi.org/10.32479/ijeep.13061.

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Increases in oil prices cause inflation. Interest rates are expected to decrease as a result of the expansionary monetary policies of the central banks in response to the indirect effect of increasing oil prices on inflation. Because an increase in oil price creates an additional foreign currency inflow to Kazakhstan, this leads to the appreciation of its national currency tenge. Therefore, this study uses monthly Brent Oil Price (OP), Consumer Price Index (CPI), and Real Effective Exchange Rate (REER) values for the period 2015:M1–2021:M11 to investigate the effect of oil price on inflation and real exchange rate in Kazakhstan. Analysis are performed using the Structural Vector Autoregression (SVAR) model. The results showed that while the Real Effective Exchange Rate mostly affects the Oil Price, the Consumer Price Index variable affects the Real Effective Exchange Rate.
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47

Rauf, Rashid, and Abdul Rashid. "Interlinkages among Exchange Rate, Interest Rate, Consumer Price Index, and Output Volatilities." Forman Journal of Economic Studies 15 (December 30, 2019): 115–36. http://dx.doi.org/10.32368/fjes.20191505.

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48

Pan, Songlijiang. "The Impact of RMB Exchange Rate Fluctuation on Price Level in China: An Empirical Analysis Based on the Vector Error Correction Model." International Journal of Economics and Finance 10, no. 5 (April 13, 2018): 184. http://dx.doi.org/10.5539/ijef.v10n5p184.

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With the improvement of RMB internationalization level, the impact of the changing international financial environment on China’s economy is becoming more and more serious, so it is increasingly important to study the transfer effect of exchange rate changing on Chinese prices. Based on the monthly data from August 2005 to October 2016 and by constructing vector error correction model, this paper empirically examines the transfer effect of RMB exchange rate changes on China’s price level. It is found that: 1) The transfer effect of nominal effective exchange rate of RMB on the single price index is smooth. 2) The transfer effect of RMB nominal effective exchange rate on China’s price index is incomplete and there is a certain delay. For each unit of appreciation of RMB, the consumer price index will fall by 0.18 units. Import price index (IPI) respond most quickly to exchange rate movements, while producer price index (PPI) and consumer price index (CPI) slow down in turn. 3) The error correction model analysis shows that the nominal effective exchange rate of RMB has a certain self-correcting mechanism for the transfer effect of China’s price index.
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49

Baranowski, Paweł, and Aleksandra Hałka. "Inflacja importowana w Polsce." Wiadomości Statystyczne. The Polish Statistician 2012, no. 8 (August 28, 2012): 44–54. http://dx.doi.org/10.59139/ws.2012.08.3.

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This article attempts to assess the impact of import price index on prices of goods and services (total CPI) in Poland and the producer price in the domestic market (domestic PPI). Based on monthly data, dependences were examined according to both long-term (price analysis, using the method co-integrative) and short-term (monthly analysis of price dynamics, using a vector error correction model). The study shows that both producer prices and the consumer react with a considerable delay to changes in import prices. Long-term effect of elasticity of import prices on producer prices is more than double than on consumer price and amounted to approximately 0,5. Moreover, for both measures, the long-term impact of domestic prices was stronger than in the short term.
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50

Zhang, Tianyi. "Seasonal Adjustment of the Consumer Price Index." Open Journal of Social Sciences 05, no. 03 (2017): 5–15. http://dx.doi.org/10.4236/jss.2017.53002.

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