Biases in Cross-Space Comparisons Through Cross-Time Price Indexes: The Case of Russia

Author(s):  
Konstantin Gluschenko
Keyword(s):  
Author(s):  
Paul Stoneman ◽  
Eleonora Bartoloni ◽  
Maurizio Baussola

This chapter addresses how innovation may affect price measurement—a key issue for the accuracy of measures of principal economic indicators and a long-discussed one. Two main changes related to product innovation are important in this context: new goods (which are often cheaper) are driving old goods out of the market; and new products often offer improved quality. The literature suggests that a failure to properly account for these has added 0.8 percentage points per year to the measured Consumer Price Index in the United States. Quality adjustment approaches in all OECD countries have converged towards general methodological guidelines that represent a common knowledge base. The hedonic methodology is applied in a significant number of countries and for specific categories of goods, in particular electronic products. The use of this approach is exemplified and the impact on price indexes evaluated.


2001 ◽  
Vol 4 (1) ◽  
Author(s):  
Susan H. Busch ◽  
Ernst R. Berndt ◽  
Richard G. Frank

Economists have long suggested that to be reliable, a preferred medical care price index should employ time-varying weights to measure outcomes-adjusted changes in the price of treating an episode of illness. In this article, we report on several years of research developing alternative indexes for the treatment of the acute phase of major depression, for the period 1991–1996. The introduction of new treatment technologies in the past two decades suggests well-known measurement issues may be prominent in constructing such a price index.We report on the results of four successively re


2021 ◽  
pp. 102295
Author(s):  
Hela NAMMOURI ◽  
Souhir CHLIBI ◽  
Oussama LABIDI
Keyword(s):  
The Us ◽  

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1814
Author(s):  
Libo Zhang ◽  
Qian Du ◽  
Dequn Zhou

The cost of centralized photovoltaic (CPV) power generation has been decreasing rapidly in China. However, the achievement of grid parity is full of uncertainties due to changes in policies and the industry environment. In order to explore the time, price, and external conditions in which grid parity can be achieved, we create the improved grey GM (1, 1) model to estimate the installed capacity over the next 10 years, and apply a learning curve to predict the cost of CPV generation. In the analysis of grid parity, we compare the benchmark price of coal power and the price under the market-oriented mechanism with CPV. The results show that China’s CPV industry will enter the early stage of maturity from 2020 onwards; with the help of benchmark investment, the grid parity of CPV may be achieved in 2022 at the earliest and 2025 at the latest. After 2025, the photovoltaic electricity price will be generally lower than the coal electricity price under marketization. By 2030, CPV power generation costs will reach US $0.05/kWh, the accumulative installed capacity will exceed 370 GW, and the uncertainties will lead to a cumulative installed gap of nearly 100 GW.


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