What Opportunities Do New Technologies Bring About for Price Statistics?

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.

Predicción de factores macroeconómicos mexicanos mediante el índice de precios y cotizaciones (Prediction of Mexican macroeconomic variables using the price quotation index of the Mexican stock exchange)

El presente trabajo tiene como objetivo de investigación principal determinar las capacidades predictivas del IPC con respecto al comportamiento de las variables macroeconómicas de México tomando en cuenta datos de enero 2009 a diciembre 2018. Las variables elegidas para el estudio son el IGAE, la tasa de desempleo, el tipo de cambio, la inflación y la tasa de interés las cuales serán analizadas por medio de pruebas de raíz unitaria y causalidad de Granger. Por otro lado, se emplea el modelo de rezagos distribuidos para identificar el periodo de tiempo que tarda en reflejarse el comportamiento del IPC en las variables mencionadas. De acuerdo a los resultados, el IPC es capaz de predecir el comportamiento de las variables IGAE, tasa de desempleo y tipo de cambio de manera inmediata y con rezagos de dos y tres meses.

Neural network method for control valve cost estimation on the EPC project bidding

Cost estimation on the bidding phase is a crucial stage that determines the success of the Engineering, Procurement and Construction (EPC) project. If the cost offered to the client is too high then it could not compete with the other bidder, but if the cost offered are too low it can reduce profit margins and result in losses for the EPC companies. This paper describe the use of Back Propagation Neural Network method to help determine cost estimation. This method is applied specifically to determine control valve cost estimation on the bidding phase so that the retrieved costs will be accurate. When there is no technical and price quotation from vendors as well as the narrowness of the bidding processing time, this method can be an alternative choice to determine the price based on previous vendor quotation. In the future, this method could be developed and applied for other instrumentation equipment such as transmitter, switch, analyzer, control system and others to achieve total cost estimation of instrumentation equipment in EPC bidding proposal.

Utilization of High Acidity Non-Food Oils from Palm Oil Mill for Biofuel Applications

<p>High Fatty Acids Crude Palm Oil (HFCPO) and Palm Sludge Oil (PSO) are the by-products from Palm Oil Mills. The price of HFCPO and PSO are sufficiently lower than the official price quotation of Crude Palm Oil (CPO). On the other hand, both byproducts are potential sources for biofuel applications. New patented technology that integrates extraction/esterification process from the high acidity non-food oils has been introduced. This technology is a proven technology that brings economic benefits for Palm Oil Mills that could utilize high acidity non-food oils.</p><p><strong>Keywords:</strong> HFCPO, PSO, CPO, SVO, FAME</p>

The Determination of Best Bid Price Quotation Based on Game Theory

This article was based on game theory; the author analyzed the various factors affecting the game theory, including player.strategy set. pay off.equilibrium and orders of the game. Besides, the author used Nash equilibrium theory to analyze the determination of one's own bid price and estimate rival bid price function, finally determined the entire process of one's quotation function model. In the end the author used the established function model and analysis an example to verify the feasibility of the model.