Two-echelon supply chain with selling price dependent demand under wholesale price index and consumer price index

2012 ◽  
Vol 13 (4) ◽  
pp. 417 ◽  
Author(s):  
D. Nagaraju ◽  
A. Ramakrishnarao ◽  
S. Narayanan
2017 ◽  
Vol 23 (4) ◽  
pp. 567-588 ◽  
Author(s):  
Rizwan RAHEEM AHMED ◽  
Jolita VVEINHARDT ◽  
Dalia ŠTREIMIKIENĖ ◽  
Saghir Pervaiz GHAURI ◽  
Nawaz AHMAD

This research is an attempt to framework the applied strides to evaluate the long run relationship among commonly used inflation proxies induces such as, wholesale price index (WPI) and consumer price index (CPI), and crude oil price (COP) with KSE100 index returns. In this research we used monthly data for the time period from July 1995 to June 2016, and thus, in this way total 252 observations have been considered. Time series have been made stationary by applying ADF and PP tests at first difference. Johansen multivariate conintegration approach was used to test the long-term association amongst the considered macroeconomic variables. The results indicated that CPI and COP significantly affect KSE100 index returns that indicated CPI along with COP have foreseen power to impact KSE100 index. In contrary, the results of WPI and COP do not have long run relationship with KSE100 index in case of Pakistani economy. Results of variance decomposition exhibited that the index of LKSE100 was realistically rarer exogenous in connection to distinctive factors, as around 92.31% of its variation was explained due to its own specific shocks. It is concluded that CPI and COP can impact the KSE100 index returns. It is confirmed by the results of impulse response function that there is a positive and long run relationship between KSE100 returns and consumer price index (proxy of inflation) and international crude oil prices.


2012 ◽  
Vol 15 (3) ◽  
pp. 325-332 ◽  
Author(s):  
Aliaa Khodeir

Since the Egyptian economy has recently moved towards inflation targeting, it became very important to know whether exchange rate movements have serious inflationary implications or not. To investigate this subject, the study aims to analyse the relevance of inflation with the exchange rate by using the Granger-causality test. Two indicators of inflation will be used, the consumer price index (CPI) and wholesale price index (WPI). In general, the results show a strong relationship between the two variables in a way that may give support to the application of ‘flexible inflation targeting regime instead of strict inflation targeting regime’.


The growth of any country depends on its economy and economic growth is nothing but an increase in the inflation i.e. adjusted market value of the goods and services produced by an economy over time. Statisticians conventionally measure such inflation using the price indices. They are mainly WPI (Wholesale Price Index and CPI (Consumer Price Index). WPI is now known to be an older method of computation because the main focus has to be on consumer prices.CPI is a measure of consumer prices over a certain period. Changes in the CPI are used to assess price changes associated with the cost of living. It can be calculated for rural, urban areas as well as for both. In CPI rural, the workers and labourers are benefitted as their daily wages can be predicted by this approach. The CPI by state data represents the inflation of each of the states giving a concise view of the country. The data is collected and analysed using a mathematical approach called linear regression in future prediction for rural labours based on previous data.


2019 ◽  
Vol 20 (1) ◽  
pp. 46-69 ◽  
Author(s):  
Paramita Mukherjee ◽  
Dipankor Coondoo

Recently several changes have been adopted in the conduct of monetary policy in India, like tracking CPI (Consumer Price Index), targeting inflation and so on. However, certain curious features of inflation may have some implications on the effectiveness of such measures. This article tries to explore the nature of inflation during the last decade. There are certain views about the nature of Indian inflation from the structuralist perspective. This article contributes to the literature by empirically testing those propositions and coming out with some significant policy implications. The article is based on monthly data from January 2006 to March 2016. By employing econometric techniques like cointegration and vector autoregression (VAR), the article tries to explain the movements of different components of WPI (Wholesale Price Index) and CPI inflation, both core and headline inflation and how they are related to macroeconomic policy variables. The empirical analyses focus on finding out the existence of co-movements among the inflation and macroeconomic variables, explaining the role of components like food and fuel price in driving CPI and WPI. The results have some important policy implications. First, the movements of WPI and CPI and their headline and core counterparts are not explained by same set of variables. Second, food inflation is not explained by agricultural output pointing to the insufficient increase in supply in agriculture. Third, the determinants of CPI headline and core inflation are not same. So, both of them should be tracked while formulating policies. The relationship among the components of inflation point to the possibility of some adjustment in demand from one set of goods to another, implying adjustments in terms of relative prices which needs further exploration. JEL: E31, E52, C32


Author(s):  
Punita Rao

Inflation is generally defined as the rate of change of some price index. Well known examples are the Consumer Price Index, Wholesale Price Index and the personal consumption expenditure price Index. Measurement and forecasting of these indices has been a subject of ongoing debate and research in recent years. This paper attempts to contribute to the debate within the limits of an empirical and country specific. Section 1 deals with the transmission of Monetary policy to growth. Section 2 examines a simple model of inflation forecasting. Section 3 addresses the unfinished debate on Prices and Monetary management.


1958 ◽  
Vol 18 (3) ◽  
pp. 298-316 ◽  
Author(s):  
Ethel D. Hoover

Today's best-known price indexes for Wholesale Price and Consumer Price Indexesthe Unitedof theStates are the Bureau of Labor Statistics, and the Indexes of Prices Received and Paid by Farmers, issued by the Department of Agriculture. These indexes, however, are comparatively new. The “Wholesale Price Index” dates from 1902 with indexes covering the years 1890-1901. The “Consumer Price Index” is of even more recent origin. Retail food price indexes were established on a regular basis in 1901, again with data back to 1890. Other goods and services were not added until after World War I, with estimates back to 1913 based on special studies in shipbuilding cities. The “Index of Prices Received by Farmers” was issued by the Department of Agriculture in 1924 and “Prices Paid by Farmers” in 1928. Botfi of these series were extended back to 1910.


2019 ◽  
Vol 2 (1) ◽  
pp. 1-14
Author(s):  
FARHAN AHMED SHAIKH ◽  
SYED MUHAMMAD AHSAN HUSSAIN

Exchange Rate Pass — Through is the phenomena that explains to what extent the movements in exchange rate affect macroeconomic variables of any economy. This paper analyses the movements of exchange rate that has affected on wholesale price index, consumer price index, large scale manufacturing, fuel and lightening and the growth of money supply. The data from June 2005 to June 2011 is analyzed by using the econometric framework. In this study, the econometric model, recursive VAR, suggested by McCarthy (2000), is applied in order to measure the movements of exchange rate pass — through to domestic prices by using the impulse response function and variance decomposition. In this study, the results of the impulse response have shown that impact of exchange rate pass through is high on wholesale price index. While the results of the impulse response have shown that the impact of exchange rate pass through is much lower for Consumer Price Index. The result of the variance decomposition has shown that the variance decomposition is indicating that for the CPI variance decomposition is as much as the 5.48 percent. For the WPI the variance decomposition is as much as 10.15 percent and the other variations are explained by the other independent variables.


2020 ◽  
Vol 20 (2) ◽  
pp. 174-196
Author(s):  
Rakhmat Prabowo ◽  
Mohamad Ikhsan

This study is intended to explain the impact of central bank credibility on inflation in Indonesia at the producer and consumer level. In this study, Central Bank Credibility is measured using an index with values between 0 (zero credibility) and 1 (perfect credibility). Generalized Method of Moments (GMM) method is used to analyze the impact of central bank credibility on inflation. Based on the results, central bank credibility can reduce inflation on both producer and consumer price. Central bank credibility is more sensitive towards producer price index compared to Gross Domestic Product (GDP) deflator and wholesale price index while at the consumer level, central bank credibility is more sensitive towards core inflation compared to headline inflation. -------------------------------------- Penelitian ini menjelaskan dampak kredibilitas Bank Sentral terhadap inflasi di Indonesia. Dampak kredibilitas Bank Sentral dianalisis pada tingkat produsen maupun konsumen. Untuk mengukur kredibilitas Bank Sentral, penelitian ini menggunakan indeks kredibilitas bernilai 0 (zero credibility) hingga 1 (perfect credibility). Metode Generalized Method of Moments (GMM) digunakan untuk menganalisis dampak kredibilitas Bank Sentral terhadap inflasi. Berdasarkan hasil empiris, kredibilitas Bank Sentral cenderung lebih memengaruhi inflasi pada Indeks Harga Produsen (IHP) dibandingkan Indeks Harga Perdagangan Besar (IHPB) dan deflator Produk Domestik Bruto (PDB). Kredibilitas Bank Sentral lebih memengaruhi inflasi inti dibandingkan dengan inflasi umum. Dari hasil empiris diketahui bahwa kredibilitas Bank Sentral lebih memengaruhi inflasi pada sisi produsen dibandingkan konsumen.


Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-26 ◽  
Author(s):  
Junhai Ma ◽  
Fang Zhang ◽  
Binshuo Bao

In is very important for the corresponding author to have a linked ORCID (Open Researcher and Contributor ID) account on MTS. To register a linked ORCID account, please go to the Account Update page (http://mts.hindawi.com/update/) in our Manuscript Tracking System and after you have logged in click on the ORCID link at the top of the page. This link will take you to the ORCID website where you will be able to create an account for yourself. Once you have done so, your new ORCID will be saved in our Manuscript Tracking System automatically.”"?>this paper, two noncooperative dynamic pricing strategies are used in a supply chain. Two dynamic Stackelberg game models have been built involving both a manufacturer and a retailer assumed to be the leader in order. In the two models, the manufacturer sells national-brand (NB) product to an independent retailer or directly to consumers through a direct channel. The retailers sell a store-brand (SB) product when they sell the NB product coming from the manufacturer. Thus, there is competition both in different channels and in products with different brands. To analyze the complexity of the model, parameter bifurcation diagrams and strange attractor diagrams have been therefore plotted. The results show that the game leader has advantages when the market is stable, but it turns disadvantageous if the state falls into unstable as the game follower can quickly adjust the strategy to seize the market. The wholesale price and the direct selling price are high that they incur larger profits if the manufacturer is dominant, but it gets worse when the adjustment speed increases. While in the model where the retailer plays a dominant role, the increase in the adjustment speed is unfavorable to retailer. By controlling the total cost of the direct channel and increasing channel competition strength and brand competition strength, the manufacturers can increase their profits in the game dominated by the retailer. In addition, the stable region within the system will be narrow since the market is sensitive to the channel competition, brand competition, and advertising indifference.


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