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Journal articles on the topic 'Price indexes – Data processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Cottle, David, and Euan Fleming. "Do price premiums for wool characteristics vary for different end products, processing routes and fibre diameter categories?" Animal Production Science 56, no. 12 (2016): 2146. http://dx.doi.org/10.1071/an14744.

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No Australian wool price hedonic studies have separated auction data into different end product-processing groups (PPR) on the basis of all fibre attributes that affect the suitability of wool sale lots for PPR. This study was conducted to assess: (1) whether including information about PPR groupings is more useful in understanding price than clustering by broad fibre diameter (FD) categories, and (2) if the ‘noise’ of macroeconomic effects on price can be reduced by using a clean price relative to the market indicator (RelPrice) formula or a log RelPrice formula compared with log price or cle

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2

Mendoza Urdiales, Román Alejandro, Andrés García-Medina, and José Antonio Nuñez Mora. "Measuring information flux between social media and stock prices with Transfer Entropy." PLOS ONE 16, no. 9 (September 23, 2021): e0257686. http://dx.doi.org/10.1371/journal.pone.0257686.

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Transfer Entropy was applied to analyze the correlations and flow of information between 200,500 tweets and 23 of the largest capitalized companies during 6 years along the period 2013-2018. The set of tweets were obtained applying a text mining algorithm and classified according to daily date and company mentioned. We proposed the construction of a Sentiment Index applying a Natural Processing Language algorithm and structuring the sentiment polarity for each data set. Bootstrapped Simulations of Transfer Entropy were performed between stock prices and Sentiment Indexes. The results of the Tr

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Antoniuk, Olena, Natalya Kuzyk, Iryna Zhurakovska, Roman Sydorenko, and Liudmyla Sakhno. "The role of «BIG FOUR» auditing firms in the public procurement market in Ukraine." Independent Journal of Management & Production 11, no. 9 (November 1, 2020): 2483. http://dx.doi.org/10.14807/ijmp.v11i9.1432.

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The authors conducted a study aimed to identify the role of «Big Four» («Big 4») audit firms in the public procurement market in Ukraine.The purpose of the article is to answer the questions: whether Ukraine is in a general trend of most countries in the concentration of audit market; what is the share of revenues of the «Big Four» audit firms in the performance of audit services in the public procurement system in Ukraine. First of all, in order to get answers to these questions, the authors conducted a study of the main trends in the development of the «Big Four» companies in Ukraine. It was

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4

Tarrío-Saavedra, Javier, Elena Orois, and Salvador Naya. "Estudio métrico sobre la actividad investigadora usando el software libre R: el caso del sistema universitario gallego." Investigación Bibliotecológica: archivonomía, bibliotecología e información, sp1 (January 19, 2018): 221. http://dx.doi.org/10.22201/iibi.24488321xe.2017.nesp1.57891.

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Este trabajo representa una nueva alternativa para el estudio, clasificación y comparación de la producción científica de centros de investigación, utilizando las funciones de tratamiento de datos del paquete Citan del software estadístico R. En particular, se muestra el análisis bibliométrico de las publicaciones de las universidades de A Coruña, Santiago de Compostela y Vigo, en el periodo 2000-2011, recopiladas por la base de datos Scopus. Entre las técnicas usadas se aplicaron modelos de Lotka y Price, modelización no paramétrica y paramétrica de los datos, así como el cálculo y análisis d

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Kőműves, Zsolt, and Viktória Horváthné Petrás. "A sertéshústermelést és -fogyasztást befolyásoló tényezők." Élelmiszer, Táplálkozás és Marketing 13, no. 1 (February 27, 2019): 3–9. http://dx.doi.org/10.33567/etm.2253.

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The decrease in the number of pigs grew to a drastic proportion during the past few decades. before the change of the regime therewere approximately 10 million pigs counted, but today this number is slightly beyond 3 million. The decline in livestock has anegative effect on the competitive position of both this sector and that of other branches of industry as well weakening significantlythe economic importance of the sector. The underlying causes of the process leading to the decline are diverse. to reveal thesolution a versatile analysis of the economic situation is essential, which should be

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Saad, Ammar, Ruitao Zhang, and Ying Xia. "The Policy Analysis Matrix (PAM): Comparative Advantage of China’s Wheat Crop Production 2017." Journal of Agricultural Science 11, no. 17 (October 15, 2019): 150. http://dx.doi.org/10.5539/jas.v11n17p150.

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As the third-largest crop in China, wheat production plays an essential role in China&#39;s agricultural production, food processing and consumption structure. Besides, China is the world&rsquo;s largest wheat producer and consumer, where it produces 14.83% of the world&#39;s total wheat production in 2017. So it is necessary to analyze and evaluate the government policy for wheat production in China using PAM. This research depends on the data has issued by the National Development and Reform Commission/China statistics press 2018 (National farm production cost-benefit survey 2017

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Oleinik, A. N. "Uses of content analysis in economic sciences: An overview of the current situation and prospects." Voprosy Ekonomiki, no. 4 (April 8, 2021): 79–95. http://dx.doi.org/10.32609/0042-8736-2021-4-79-95.

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The article discusses the status of quantitative and qualitative data in economic sciences, as well as methods for transforming data into information and knowledge. Particular attention is devoted to content analysis as a set of methods for aggregating, processing and analyzing qualitative data; its forms (qualitative, quantitative and mixed methods) and uses by economists. Content analysis appears to be particularly suitable for non-orthodox economists because of their refusal to consider price as the only source of economic information. The content analysis of metadata of articles indexed in

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Zulqarnain, Muhammad, Rozaida Ghazali, Muhammad Ghulam Ghouse, Yana Mazwin Mohmad Hassim, and Irfan Javid. "Predicting Financial Prices of Stock Market using Recurrent Convolutional Neural Networks." International Journal of Intelligent Systems and Applications 12, no. 6 (December 8, 2020): 21–32. http://dx.doi.org/10.5815/ijisa.2020.06.02.

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Financial time-series prediction has been long and the most challenging issues in financial market analysis. The deep neural networks is one of the excellent data mining approach has received great attention by researchers in several areas of time-series prediction since last 10 years. “Convolutional neural network (CNN) and recurrent neural network (RNN) models have become the mainstream methods for financial predictions. In this paper, we proposed to combine architectures, which exploit the advantages of CNN and RNN simultaneously, for the prediction of trading signals. Our model is essentia

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Zhen, Chen, Eric A. Finkelstein, Shawn A. Karns, Ephraim S. Leibtag, and Chenhua Zhang. "Scanner Data‐Based Panel Price Indexes." American Journal of Agricultural Economics 101, no. 1 (June 18, 2018): 311–29. http://dx.doi.org/10.1093/ajae/aay032.

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Bourassa, Steven C., Eva Cantoni, and Martin Hoesli. "Robust hedonic price indexes." International Journal of Housing Markets and Analysis 9, no. 1 (March 7, 2016): 47–65. http://dx.doi.org/10.1108/ijhma-11-2014-0050.

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Purpose – The purpose of this paper is to demonstrate the application of robust techniques to the estimation of hedonic house price indexes. Design/methodology/approach – The authors use simulation analysis to compare an index estimated using ordinary least squares (OLS) with several indexes estimated using robust techniques. The analysis uses sales transactions data from a US city. The authors then explore how robust methods can correct for omitted variables under some circumstances and how they affect the revision problem that occurs when longitudinal hedonic indexes are updated. Findings –

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Melser, Daniel. "Scanner Data Price Indexes: Addressing Some Unresolved Issues." Journal of Business & Economic Statistics 36, no. 3 (June 1, 2017): 516–22. http://dx.doi.org/10.1080/07350015.2016.1218339.

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12

Bourassa, Steven C., and Martin Hoesli. "High-Frequency House Price Indexes with Scarce Data." Journal of Real Estate Literature 25, no. 1 (January 1, 2017): 207–20. http://dx.doi.org/10.1080/10835547.2017.12090448.

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13

Nowak, Adam D., and Patrick S. Smith. "Quality-Adjusted House Price Indexes." American Economic Review: Insights 2, no. 3 (September 1, 2020): 339–56. http://dx.doi.org/10.1257/aeri.20190337.

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The constant-quality assumption in repeat-sales house price indexes (HPIs) introduces a significant time-varying attribute bias. The direction, magnitude, and source of the bias varies throughout the market cycle and across metropolitan statistical areas (MSAs). We mitigate the bias using a data-driven textual analysis approach that identifies and includes salient text from real estate agent remarks in the repeat-sales estimation. Absent the text, MSA-level HPIs are biased downward by as much as 7 percent during the financial crisis and upward by as much as 20 percent after the crisis. The geo

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Webster, Michael, and Rory C. Tarnow-Mordi. "Decomposing Multilateral Price Indexes into the Contributions of Individual Commodities." Journal of Official Statistics 35, no. 2 (June 1, 2019): 461–86. http://dx.doi.org/10.2478/jos-2019-0020.

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Abstract This article describes methods for decomposing price indexes into contributions from individual commodities, to help understand the influence of each commodity on aggregate price index movements. Previous authors have addressed the decomposition of bilateral price indexes, which aggregate changes in commodity prices from one time period to another. Our focus is the decomposition of multilateral price indexes, which aggregate commodity prices across more than two time periods or countries at once. Multilateral indexes have historically been used for spatial comparisons, and have recent

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Edronova, V. N. "International digital development indexes: A methodology for data collection, systematization and processing." Regional Economics: Theory and Practice 18, no. 7 (July 16, 2020): 1374–96. http://dx.doi.org/10.24891/re.18.7.1374.

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Subject. This article provides a comprehensive comparative review of the present-day used International Digital Development Indexes of countries and regions. Objectives. The article aims to review and compare the characteristics and methodologies of digitalization indexes developed by international institutions. Methods. For the study, I used a comparative analysis. Results. The article presents an overview of the methods of calculating the largest international indexes and compiling ratings of digital development of countries. It defines the content of the indexes, and describes the character

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Ramalho, Esmeralda A., Joaquim J. S. Ramalho, and Rui Evangelista. "Combining micro and macro data in hedonic price indexes." Statistical Methods & Applications 26, no. 2 (August 30, 2016): 317–32. http://dx.doi.org/10.1007/s10260-016-0367-6.

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17

Juszczak, Adam. "The use of web-scraped data to analyze the dynamics of footwear prices." Journal of Economics and Management 43 (2021): 251–69. http://dx.doi.org/10.22367/jem.2021.43.12.

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Aim/purpose – Web-scraping is a technique used to automatically extract data from websites. After the rise-up of online shopping, it allows the acquisition of information about prices of goods sold by retailers such as supermarkets or internet shops. This study examines the possibility of using web-scrapped data from one clothing store. It aims at comparing known price index formulas being implemented to the web-scraping case and verifying their sensitivity on the choice of data filter type. Design/methodology/approach – The author uses the price data scrapped from one of the biggest online sh

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18

Ivancic, Lorraine, W. Erwin Diewert, and Kevin J. Fox. "Scanner data, time aggregation and the construction of price indexes." Journal of Econometrics 161, no. 1 (March 2011): 24–35. http://dx.doi.org/10.1016/j.jeconom.2010.09.003.

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19

de Haan, Jan, and Heymerik A. van der Grient. "Eliminating chain drift in price indexes based on scanner data." Journal of Econometrics 161, no. 1 (March 2011): 36–46. http://dx.doi.org/10.1016/j.jeconom.2010.09.004.

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20

Horowitz, Stanley, and Bruce Harmon. "Inflation and Price Escalation Adjustments in Estimating Program Cost: F-35 Case Study." Defense Acquisition Research Journal 27, no. 92 (April 1, 2020): 194–217. http://dx.doi.org/10.22594/dau.19-836.27.02.

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Applying price indexes presents a challenge in estimating the costs of new defense systems. An inappropriate price index—one not closely linked to the inputs to the systems being costed—can introduce errors in both development of cost estimating relationships (CER) and in development of out-year budgets. To help cost analysts understand the impacts of different price indexes, this article applies two sets of price indexes to the F-35 program. Using hedonic price indexes derived from CERs, the authors isolate changes in price due to factors other than changes in quality by developing a “Baselin

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21

Fares, Florencia Melisa, Guido Zack, and Ricardo Gabriel Martínez. "Sectoral Price and Quantity Indexes of Argentine Foreign Trade." Lecturas de Economía, no. 93 (July 9, 2020): 297–328. http://dx.doi.org/10.17533/udea.le.n93a338277.

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Argentina does not have a sufficiently complete and developed system of sectoral statistical data on foreign trade. This paper tries to make a contribution showing a methodology to calculate foreign trade indexes, based on unit values obtained from Foreign Trade Consultation System of INDEC. This methodology is applied to the quarterly data of Argentine sectoral imports and exports and its accuracy is shown from the comparison with price indexes published by INDEC (aggregate level) and Brazilian statistical institute (sectoral level). Our indexes show a correlation above 80% and variability cl

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22

Shimizu, Chihiro, W. Erwin Diewert, Kiyohiko G. Nishimura, and Tsutomu Watanabe. "Estimating quality adjusted commercial property price indexes using Japanese REIT data." Journal of Property Research 32, no. 3 (July 3, 2015): 217–39. http://dx.doi.org/10.1080/09599916.2015.1059875.

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23

Gu, Wei. "Data Processing and Information Technology with an Iterative Correction Evaluation Model." Advanced Materials Research 978 (June 2014): 201–4. http://dx.doi.org/10.4028/www.scientific.net/amr.978.201.

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In our paper, we used data processing and information technology to build an iterative correction evaluation model.First,we collect the data of college coaches of football, basketball and hockey. Based on the two characteristic indexes of college coaches, such as the basic quality and the competition results, we discuss the characteristic indexes of excellent college coaches and set up two basic models: the one is fuzzy comprehensive evaluation model established by simplified DHFG algorithm and the other is Self-evaluation DEA model built on the hierarchy structure of the evaluation indexes an

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JÜRGERNS, MARCUS, and HANS-J. LENZ. "TREE BASED INDEXES VERSUS BITMAP INDEXES: A PERFORMANCE STUDY." International Journal of Cooperative Information Systems 10, no. 03 (September 2001): 355–76. http://dx.doi.org/10.1142/s0218843001000382.

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Data warehouses are used to store large amounts of data which is often used for On-Line Analytical Processing (OLAP). Short response times are essential for on-line decision support. Common approaches to reach this goal in read-mostly environments are the precomputation of materialized views and the use of index structures. This paper focuses on the use of index structures for supporting fast access to data. The performance of index structures depends on many different parameters. Here, we focus on a set of nine parameters. Two approaches are presented to support the decision making process wh

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Zeng, Xiang Gui, Ge Ying Lai, Fa Zhao Yi, and Ling Ling Zhang. "GIS Based Spatialization of Population Data in Meijiang River Basin." Applied Mechanics and Materials 295-298 (February 2013): 2378–83. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.2378.

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This paper used GIS spatial analysis and data processing technologies and multi-source data fusion technology to spatialize the population data of Meijiang river basin. Land use was selected as the index factor and the settlements as the indicative factor. Selected terrain, roads and rivers were the main influencing factors and were further classified into several sub-factors. During the simulation, we first calculated the weight indexes of sub-factors on the settlements distribution and then fused the indexes to calculate the weight indexes of the main factors. Second we calculated the weight

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Silver, Mick, and Brian Graf. "Commercial Property Price Indexes: Problems of Sparse Data, Spatial Spillovers, and Weighting." IMF Working Papers 14, no. 72 (2014): 1. http://dx.doi.org/10.5089/9781484364543.001.

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de Haan, Jan, and Frances Krsinich. "Scanner Data and the Treatment of Quality Change in Nonrevisable Price Indexes." Journal of Business & Economic Statistics 32, no. 3 (July 3, 2014): 341–58. http://dx.doi.org/10.1080/07350015.2014.880059.

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Fox, Kevin J., and Daniel Melser. "Non-Linear Pricing and Price Indexes: Evidence and Implications from Scanner Data." Review of Income and Wealth 60, no. 2 (November 29, 2012): 261–78. http://dx.doi.org/10.1111/roiw.12000.

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Faryna, Oleksandr, Oleksandr Talavera, and Tetiana Yukhymenko. "What Drives the Difference between Online and Official Price Indexes?" Visnyk of the National Bank of Ukraine, no. 243 (March 29, 2018): 21–30. http://dx.doi.org/10.26531/vnbu2018.243.021.

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This paper examines the associations between online price indexes and official statistics. First, we generate online CPI component sub-indexes, which are later aggregated to an Online Price CPI. This approach is applied to our unique dataset which contains about 3 million observations of online retail prices for consumer goods in Ukraine’s five largest cities. The data span over the period 2016m1 – 2017m12 and cover about 46% of Ukraine’s Consumer Price Inflation basket. We find that online inflation is generally consistent with official estimates, but the matching capability varies across sub

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Li, Pei Lin. "Data Processing and Modelling with Information Technology in Choosing College Best Trainer." Advanced Materials Research 978 (June 2014): 221–25. http://dx.doi.org/10.4028/www.scientific.net/amr.978.221.

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Choosing a good college trainer needs to consider various factors. In the paper, I take advantage of relevant data of the college trainers, and then establish an effective model with information technology to choose the best college trainer. First I collect the data of college trainers of football using information technology. Based on the two characteristic indexes of excellent college trainers, such as the basic quality and the competition results, I discuss the characteristic indexes of excellent college trainers using data processing and set up the model: fuzzy comprehensive evaluation mod

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31

Brown, Leonard, and Le Gruenwald. "Tree-Based Indexes for Image Data." Journal of Visual Communication and Image Representation 9, no. 4 (December 1998): 300–313. http://dx.doi.org/10.1006/jvci.1998.0399.

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32

Mohamed, Mohamed Attia, Manal A. Abdel-Fattah, and Ayman E. Khedr. "Challenges and Recommendations in Big Data Indexing Strategies." International Journal of e-Collaboration 17, no. 2 (April 2021): 22–39. http://dx.doi.org/10.4018/ijec.2021040102.

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Index structures are one of the main strategies for effective data access applied for indexing data. According to expansion of data, traditional indexing strategies on big data meets several challenges that lead to weak performance; they haven't abilities to handle the rapid increase of data in terms of accurate retrieval results and processing time. So, it is necessary to substitute traditional index with another efficient index structure called learned index. Learned index goes to use machine learning models to tackle such issues and achieve more enhancements of processing time and accurate

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Pan, Chung-Lien, and Yu-Chun Pan. "The Index and Stock Price Synchronicity: Evidence from Taiwan." E3S Web of Conferences 198 (2020): 04029. http://dx.doi.org/10.1051/e3sconf/202019804029.

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Research on stock synchronization has always been a topic of concern to scholars and investors. In the past, the focus was mainly on equity concentration, foreign shareholding, audit quality, and other issues, not including indexes. This article uses the monthly data of the Taiwan Stock Exchange Capital Weighted Stock Index (TAIEX) to solve the problem of the index and stock synchronization. And use the technical theory of the gray system to solve the small sample and uncertain problem. The discovery of the synchronization between these indexes and stock prices may provide investors with suffi

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Hill, Robert J., and Michael Scholz. "Can Geospatial Data Improve House Price Indexes? A Hedonic Imputation Approach with Splines." Review of Income and Wealth 64, no. 4 (July 27, 2017): 737–56. http://dx.doi.org/10.1111/roiw.12303.

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35

Cotterill, Ronald W. "Scanner Data: New Opportunities for Demand and Competitive Strategy Analysis." Agricultural and Resource Economics Review 23, no. 2 (October 1994): 125–39. http://dx.doi.org/10.1017/s1068280500002240.

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This paper reviews prior research by agricultural economists on the demand for food products using scanner data. Thereafter, a differentiated product's oligopoly model with Bertrand price competition is developed and used to specify brand level demand and oligopoly price reaction equations. The model has sufficient detail to estimate brand level price elasticities and price response elasticities which in turn can be used to estimate three indices of market power. The first index estimated is the familiar Rothschild Index. The paper develops estimates two new indexes, the observed index and the

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36

Gábor-Tóth, Enikő, and Philip Vermeulen. "Elementary Index Bias: Evidence for the Euro Area from a Large Scanner Dataset." German Economic Review 20, no. 4 (December 1, 2019): e618-e656. http://dx.doi.org/10.1111/geer.12182.

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Abstract We provide evidence on the effect of elementary index choice on inflation measurement in the euro area. Using scanner data for 15,844 individual items from 42 product categories and 10 euro area countries, we compute product category level elementary price indexes using eight different elementary index formulas. Measured inflation outcomes of the different index formulas are compared with the Fisher ideal index to quantify elementary index bias. We have three main findings. First, elementary index bias is quite variable across product categories, countries and index formulas. Second,

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Rudzkis, Rimantas, Roma Valkavičienė, and Virmantas Kvedaras. "Prediction of Baltic Sectorial Share Price Indices." Lietuvos statistikos darbai 53, no. 1 (December 20, 2014): 53–59. http://dx.doi.org/10.15388/ljs.2014.13894.

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Extending the research started in [31], the paper uses econometric methods for the short-term forecasting of quarterly values of sector indexes of stock prices from the OMX Baltic stock exchange. The ARMA models and modelling methodology that was used to build the statistical models in the previous paper are now augmented with the algorithms of time series aggregation and identification of special features of the series. Here, the search for informative factors relies on the study of related literature. The specification of models is further tailored using the traditional significance (p-value

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Xue, Chao, Yongfeng Ju, Shuguang Li, Qilong Zhou, and Qingqing Liu. "Research on Accurate House Price Analysis by Using GIS Technology and Transport Accessibility: A Case Study of Xi’an, China." Symmetry 12, no. 8 (August 10, 2020): 1329. http://dx.doi.org/10.3390/sym12081329.

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Based on the symmetrical public transportation network data of Xi’an, China obtained by geographic information system (GIS) technology in 2019, three urban public transportation indexes of walking accessibility, bus accessibility, and metro accessibility were established, and a real estate price prediction model was built by using several machine learning algorithms to predict and analysis the housing price in Xi’an, China. Firstly, the symmetrical road network data and real estate property data of Xi’an were collected and preprocessed, secondly, the spatial syntax theory and distance calculat

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Krsinich, Frances. "The FEWS Index: Fixed Effects with a Window Splice." Journal of Official Statistics 32, no. 2 (June 1, 2016): 375–404. http://dx.doi.org/10.1515/jos-2016-0021.

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Abstract This article describes the estimation of quality-adjusted price indexes from ‘big data’ such as scanner and online data when there is no available information on product characteristics for explicit quality adjustment using hedonic regression. The longitudinal information can be exploited to implicitly quality-adjust the price indexes. The fixed-effects (or ‘time-product dummy’) index is shown to be equivalent to a fully interacted time-dummy hedonic index based on all price-determining characteristics of the products, despite those characteristics not being observed. In production, t

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Hall, Anne E. "Adjusting the Measurement of the Output of the Medical Sector for Quality: A Review of the Literature." Medical Care Research and Review 74, no. 6 (August 11, 2016): 639–67. http://dx.doi.org/10.1177/1077558716663388.

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The Bureau of Economic Analysis recently created new price indexes for health care in its health care satellite account and now faces the problem of how to adjust them for quality. I review the literature on this topic and divide the articles that created quality-adjusted price indexes for individual medical conditions into those that use primarily outcomes-based adjustments and those that use only process-based adjustments. Outcomes-based adjustments adjust the indexes based on observed aggregate health outcomes, usually mortality. Process-based adjustments adjust the indexes based on the tre

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Vitkovskaya, I. S. "SATELLITE DATA PROCESSING ALGORITHM IN THE PROCESS OF FORMATION OF THE TIME SERIES OF VEGETATION INDEXES." Eurasian Physical Technical Journal 18, no. 2 (June 11, 2021): 90–95. http://dx.doi.org/10.31489/2021no2/90-95.

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The diverse spectral indexes computed from the satellite images are used extensively in the world practice of remote sensing of the Earth from space. This approach proved its validity for the satellite monitoring of the underlying terrain, detection of ongoing changes and trends of their dynamic patters. Accumulated prodigious amount of satellite data, the state-of-the-art methods of thematic interpretation gave rise to creation of services providing free access to both images and to image processing results. Notwithstanding the foregoing, in the furtherance of the local and regional scale it

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Kirikkaleli, Dervis, and Ibrahim Darbaz. "The Causal Linkage between Energy Price and Food Price." Energies 14, no. 14 (July 11, 2021): 4182. http://dx.doi.org/10.3390/en14144182.

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This paper aims to reveal the causal relationship between energy prices and food prices and whether this relationship is similar in the food sub-groups forming the food price index used. As food prices more than doubled during the 2008 economic crisis, this relationship has received considerable attention from researchers. Many researches have been conducted to determine the causes and consequences of the 2008 food price crisis. Researches are mainly focused on crude oil and bio-energy in terms of “energy”. This research is not only differentiated by the data used but also by the methodology e

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Asano, Seki, and Eduardo P. S. Fiuza. "Estimation of the Brazilian Consumer Demand System." Brazilian Review of Econometrics 23, no. 2 (November 2, 2003): 255. http://dx.doi.org/10.12660/bre.v23n22003.2726.

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In this study we estimate the Brazilian consumer demand system through family expenditure data, which cover all consumption categories. The model is estimated from family-level expenditures on seven consumption categories, and a new set of regional cost-of-living indexes. The sources for expenditures are the national household expenditure surveys (POFs) conducted in 1987/88 and 1995/96, which collected data from eleven metropolitan areas. To the best of our knowledge this is the first study of this type and extent based on both waves of POF. Corresponding price indexes were constructed from de

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Majewska, Agnieszka. "Using Sectoral Indexes to Discount the Exercise Price of Employee Stock Options." Folia Oeconomica Stetinensia 16, no. 1 (December 1, 2016): 174–85. http://dx.doi.org/10.1515/foli-2016-0010.

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Abstract Employee stock options (ESOs) are an instrument in compensating top management of corporations. In the literature, they are described as a variable component of remuneration of a long-term character (Borkowska, 2012). There are six characteristic elements of the ESO: a grant date, the ESO plan duration, employees entitled to receive options, vesting criteria, a vesting period, and an exercise price. The article refers to the exercise price. The remuneration of employees is determined by the option’s intrinsic value, i.e. the difference between the current stock price and the exercise

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Bessonov, Vladimir. "What Opportunities Do New Technologies Bring About for Price Statistics?" Russian Journal of Money and Finance 80, no. 1 (March 2021): 120–26. http://dx.doi.org/10.31477/rjmf.202101.120.

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The paper discusses new opportunities for Russian price statistics that present-day information and communication technologies bring about. The paper is a response to the study Isakov et al. (2021) dedicated to the effort of developing a toolset to build a price quotation database through automated internet data collection and construction of consumer price indexes based on it. Discussed are the potential implications of this activity for price statistics.

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KEAWPIBAL, Naphat, Ladda PREECHAVEERAKUL, and Sirirut VANICHAYOBON. "Optimizing Range Query Processing for Dual Bitmap Index." Walailak Journal of Science and Technology (WJST) 16, no. 2 (March 26, 2018): 133–42. http://dx.doi.org/10.48048/wjst.2019.4146.

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Bitmap-based indexes are known to be the most effective indexing method for retrieving and answering selective queries in a read-only environment. Various types of encoding bitmap indexes signiﬁcantly improve query time efficiency by utilizing fast Boolean operations directly on the index before retrieving the raw data. In particular, the dual bitmap index improves the performance of equality queries in terms of the space vs. time trade-off. However, the performance of range queries is unsatisfactory. In this paper, an optimizing algorithm is proposed to improve the range query processing for

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Cavallo, Alberto, and Roberto Rigobon. "The Billion Prices Project: Using Online Prices for Measurement and Research." Journal of Economic Perspectives 30, no. 2 (May 1, 2016): 151–78. http://dx.doi.org/10.1257/jep.30.2.151.

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A large and growing share of retail prices all over the world are posted online on the websites of retailers. This is a massive and (until recently) untapped source of retail price information. Our objective with the Billion Prices Project, created at MIT in 2008, is to experiment with these new sources of information to improve the computation of traditional economic indicators, starting with the Consumer Price Index. We also seek to understand whether online prices have distinct dynamics, their advantages and disadvantages, and whether they can serve as reliable source of information for eco

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Štifanić, Daniel, Jelena Musulin, Adrijana Miočević, Sandi Baressi Šegota, Roman Šubić, and Zlatan Car. "Impact of COVID-19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short-Term Memory." Complexity 2020 (July 20, 2020): 1–12. http://dx.doi.org/10.1155/2020/1846926.

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COVID-19 is an infectious disease that mostly affects the respiratory system. At the time of this research being performed, there were more than 1.4 million cases of COVID-19, and one of the biggest anxieties is not just our health, but our livelihoods, too. In this research, authors investigate the impact of COVID-19 on the global economy, more specifically, the impact of COVID-19 on the financial movement of Crude Oil price and three US stock indexes: DJI, S&P 500, and NASDAQ Composite. The proposed system for predicting commodity and stock prices integrates the stationary wavelet transf

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Miyano, Takaya, and Kenichi Tatsumi. "Determining anomalous dynamic patterns in price indexes of the London Metal Exchange by data synchronization." Physica A: Statistical Mechanics and its Applications 391, no. 22 (November 2012): 5500–5511. http://dx.doi.org/10.1016/j.physa.2012.05.068.

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Bokhari, Sheharyar, and David Geltner. "Estimating Real Estate Price Movements for High Frequency Tradable Indexes in a Scarce Data Environment." Journal of Real Estate Finance and Economics 45, no. 2 (July 22, 2010): 522–43. http://dx.doi.org/10.1007/s11146-010-9261-4.

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