scholarly journals A Note on the Wholesale Price Index in 1960-61

1961 ◽  
Vol 1 (3) ◽  
pp. 73-78
Author(s):  
S. U. Khan ◽  
Rafique Ahmad Khan

In this note an attempt is made to extend the wholesale price index prepared in the Institute of Development Economics1 to 1960-61. That index, which was computed for the East and West wings separately and for the whole of Pakistan, covered a period of nine years from 1951-52 to 1959-60 (July-June) with 1951-52 as the base year. The West Pakistan index covers 35 commodities while the commodities included in East Pakistan index number 25. The weights for each wing are derived from the net quantity available to final users in each year. It should be remembered that this whole¬sale price index is not an all-purpose general price index; its coverage and scope are limited. It is a measure of annual wholesale price changes for certain goods in East and in West Pakistan. Further details of the index may be found in the monograph cited in footnotel. The present index for 1960-61 is computed by the Laspeyres formula alone as it was not possible to calculate the Paasche index without information on quantities available during 1960-61.2 For the same reason it is not possible to extend the analysis of quantity indices previously presented for both wings of Pakistan.3

1965 ◽  
Vol 33 ◽  
pp. 43-47 ◽  
Author(s):  
W. A. H. Godley ◽  
C. Gillion

This note analyses the price changes of some 470 manufactured products in five recent years. They were taken as a sample from the price quotations on which the Board of Trade bases its wholesale price index for manufactured products. Since the conclusions for the engineering industry are rather different from those of other industries, the two groups— engineering and non-engineering—are discussed separately. Food, drink and tobacco prices are excluded throughout.


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.


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.


1982 ◽  
Vol 6 (3) ◽  
pp. 130-132 ◽  
Author(s):  
James E. Moak

Abstract During the period 1952-1979, trends of nine forest practices cost increases have ranged from 6.55 percent annually for planting by hand to 11.19 percent annually for mechanical site preparation in the South. These figures represent an increase over the wholesale price index of 3.21 percent annually for planting by hand and 7.70 percent for mechanical site preparation.


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