scholarly journals Analysis of Inflation Indicators during the Period of UPA Government (India)

2008 ◽  
Vol 4 (4) ◽  
pp. 246-258
Author(s):  
J K Sachdeva
Keyword(s):  
Price Index ◽  
Consumer Price Index ◽  
Wholesale Price ◽  
Food Prices ◽  
First Year ◽  
Official Statistics ◽  
Price Inflation ◽  
The Real ◽  
The Government ◽  
Lagged Effect

Rising food prices hurt poor the most. The real burden of inflation is always higher than what the WPI figures suggest. Right through 2007, consumer inflation was running much higher for all categories. During the last month of 2007, inflation as measured by the consumer price index was above 5 per cent for the three categories of workers that are tracked by the official statistics, even as wholesale price inflation was just 3.5 per cent. Even as the government pulls out all stops to douse the fires of inflation, one should not forget that it is the outcome of years of neglect of agriculture. It has been observed that prices were highly volatile during the first half of 2008.  UPA government took office in may, 2004. Leaving the first year of office as it is with period lagged effect of earlier government, an analysis of period between April, 2005 to May 2008 (leaving highly volatile period from April, 2004 to March, 2005 and June, 2008 to July 2008, by the time this paper is written) needs to be carried out to see trends in prices.

Inflation Dynamics and Monetary Policy in India: A New Keynesian Phillips Curve Perspective

2019 ◽  
Vol 8 (2) ◽  
pp. 144-179 ◽  
Author(s):  
Bhavesh Salunkhe ◽  
Anuradha Patnaik
Keyword(s):  
Price Index ◽  
Phillips Curve ◽  
Consumer Price Index ◽  
Wholesale Price ◽  
New Keynesian ◽  
Real Effective Exchange Rate ◽  
Output Gap ◽  
Moderate Degree ◽  
New Keynesian Phillips Curve ◽  
Price Inflation

The present study estimates various specifications of the New Keynesian Phillips Curve (NKPC) models for India over 1996Q2 to 2017Q2 using Consumer Price Index (CPI) and Wholesale Price Index (WPI) inflation, separately. The empirical results suggest that the data support all the specifications of the Phillips curve models based on both the CPI and WPI inflations. However, the backward looking and hybrid models provide robust results for both the inflation indices. While the forward-looking behaviour dominates the CPI inflation trajectory, the backward-looking behaviour greatly influences the trajectory of WPI inflation. Also, a small-to-moderate degree of persistence is evident in both the CPI and WPI inflation. The output gap, which mainly represents the demand side pressures, turns up the major force determining both the CPI and WPI inflations. Besides the output gap, real effective exchange rate (reer), international crude oil price inflation, global non-fuel commodity price inflation and rainfall have a modest impact on the CPI and WPI inflations. JEL Classification: E12, E52, C36, C14

Structure and Food Price Inflation

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Ilya Rahkovsky ◽  
Richard Volpe
Keyword(s):  
Market Structure ◽  
Price Index ◽  
Consumer Price Index ◽  
Market Concentration ◽  
Food Prices ◽  
Food Price ◽  
Retail Market ◽  
Food Markets ◽  
Price Inflation ◽  
Market Shares

AbstractWe pair Nielsen TDLinx data, 2004–2014, with Consumer Price Index data to investigate how changes in food retail market structure drive food price inflation. We find, in corroboration with much of the evidence to date, that market concentration is positively and significantly associated with higher food prices. We find the same to be true for store format concentration, or the homogeneity of food markets. As the market shares, or penetration, of supercenters, warehouse stores, limited assortment stores, and superettes increase at expense of traditional supermarkets, food price inflation decreases.

scholarly journals ANALYSIS OF MONETARY FACTORS ON THE INCOME OF COASTAL FISHERMAN’S IN THE COVID-19 WEST ACEH REGENCY

2021 ◽  
Vol 2 (3) ◽  
pp. 37-50
Author(s):  
Leli Putri Ansari ◽  
Ivon Jalil ◽  
Yasrizal Yasrizal
Keyword(s):  
Quantitative Research ◽  
Price Index ◽  
Consumer Price Index ◽  
Least Square ◽  
Operational Cost ◽  
Cross Section Data ◽  
Price Inflation ◽  
Ordinary Least Square ◽  
Section Data ◽  
Aceh Province

This research aimed to analyze fisherman’s income according to monetary factors during covid-19 pandemic in coastal areas of West Aceh Regency in Aceh Province, Indonesia. This research applied cross-section data over 2021 by utilizing descriptive quantitative research and OLS model analysis (Ordinary Least Square). Research revealed monetary factors in term of the inflation of groceries price had negative influenced to the fisherman income at West Aceh Regency, mean while the variable of diesel price had positive influenced to fisherman income. During covid-19 pandemic, there was the increasing of groceries price (inflation) at 1,06 times or the consumer price index (CPI) of groceries price at 106 percent but the price of diesel was still same as before covid-19 pandemic because fisherman used subsidized fuel at Rp 5.150/liter. However, the quota of subsidized diesel did not fulfill the fisherman needs so that they must buy non subsidized diesel. It was impacted on the fishing operational cost which was bigger than fisherman income. Moreover, during covid-19 pandemic the average of fisherman income decrease at IDR 1.500.000-IDR 3.000.000 each trip compared with before covid-19 pandemic at IDR 5.000.000- IDR 7.000.000 each trip. It was caused by low fish price which was caused by the decreasing of fish demand.

scholarly journals Kontribusi Jumlah Pengunjung Obyek Wisata Dataran Tinggi Dieng Bagi Pendapatan Asli Daerah Kabupaten Wonosobo

2019 ◽  
Vol 2 (2) ◽  
pp. 26-33
Author(s):  
Andryan Setyadharma ◽  
Adi Kurniawan Sujatmiko
Keyword(s):  
Price Index ◽  
Statistical Tests ◽  
Consumer Price Index ◽  
Secondary Data ◽  
Variable Number ◽  
Analytical Tool ◽  
Short Term ◽  
The Real ◽  
Local Revenue ◽  
Tourism Sector

increasing regional revenue. For a region with limited potential of its’ natural resources it will be a challenge in an attempt to maximize the potential of the region. One of the effort to maximize the regional revenue is by optimizing potential in the tourism sector. Types of data in this research are secondary data such as tourist numbers, consumer price index, General Allocation Grant, and Local Revenue of Wonosobo Regency. The analytical tool is multiple regression analysis with statistical tests and classical assumption. This research aimed to understand the effect of the number of visits tourist, consumer price index, and General Allocation Grant against the Local Revenue of Wonosobo Regency from 2015 to 2017. The results of the regression processing of short-term models show that the consumer price index variable has a significant effect on Regional Original Income with a probability value of 0.0090 smaller than the real level α = 5%. While the variable number of visitors and General Allocation Funds did not have a significant effect on Regional Original Income with a probability value greater than the real level α = 5%.

The Salaries of Officials and Officers in the Russian Empire

2021 ◽  
Vol 47 (3) ◽  
pp. 224-237
Author(s):  
Boris N. Mironov ◽  
Jan Surer
Keyword(s):  
Time Series ◽  
Price Index ◽  
Consumer Price Index ◽  
Russian Empire ◽  
Officer Corps ◽  
The Real ◽  
Regulatory Documents ◽  
The Russian Empire

Abstract This article analyzes changes in both the nominal and real salaries of Russian officials and officers. The study draws upon data concerning provincial administrations, which employed a significant portion of officials, and the infantry, in which most of the officer corps served, from the introduction of monetary salaries in 1763 (for officials) and in 1711 (for officers) to 1913. A table of the changes in nominal salaries was compiled from legislative and regulatory documents, and, with the use of a consumer price index constructed by the author, time series of the real salaries of officials and officers of various ranks were obtained by decades over 150 years.

scholarly journals Macroeconomic Determinants of Islamic Banking Products in Indonesia

Economies ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 53
Author(s):  
Nur Setyowati
Keyword(s):  
Industrial Production ◽  
Structural Breaks ◽  
Price Index ◽  
Consumer Price Index ◽  
Impulse Response Function ◽  
Islamic Banking ◽  
Short Term ◽  
Islamic Bank ◽  
The Government ◽  
Determinant Factor

The purpose of the study was to investigate which factors determine saving and financing in Islamic banks in Indonesia by using Gregory–Hansen cointegration, vector error correction mode (VECM), Granger causality, and the impulse response function. The results disclose the existence of a long-running cointegrating relationship with a structural break in the deposit and financing case to the consumer price index, industrial production, interest rate, exchange rate, and Jakarta Islamic Index. Most of the structural breaks appeared in January 2006 and April 2007 for both deposit and financing, revealing the first stage of the financial crisis. Any short-term deviation between deposit and financing will give rise to a stable relationship in the long term. In the short-term, there is bidirectional causality between deposits and industrial production and between the consumer price index and financing. This finding shows that real activity, as measured by industrial production, is a highly determinant factor of Islamic bank deposits, while inflation, as measured by the customer price index, is the determinant factor of Islamic bank financing. Our results also suggest that a mix of dynamic behaviors from both Islamic bank savings and financing was revealed in response to the shock of the macroeconomic variable, giving better insight for the government and stakeholders into Indonesian Islamic banking.

Impact of Macro Economic Indicators affecting Indian Stock Markets: Evidence from Pre- and Post-Crisis

2019 ◽  
Vol 6 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Sandeepa Kaur
Keyword(s):  
Stock Market ◽  
Price Index ◽  
Critical Role ◽  
Consumer Price Index ◽  
Wholesale Price ◽  
Principal Component ◽  
Correlation Factor ◽  
Economic Factors ◽  
Strong Impact ◽  
Indian Stock Market

Volatility is quite evident in stock market fluctuations and often economic factors results in share prices movements. However, there are some fundamental elements, which have a strong impact over the fluctuations of the stock market by and large. This study empirically tested the interconnection between macro-economic factors and Indian stock market. By applying multivariate regression analysis, the effect of macro-economic factors on Indian stock market is tested. The explanatory variables are Wholesale Price Index (WPI), Index of Industrial Production (IIP), Money Supply (M3), Consumer Price Index (CPI), Exchange Rate (ER), Call Money Rate (CMR), Gold Price (GP), Foreign Institutional Investment (FII) and Trade Balance (TB) while explained factors are average monthly closing prices of BSE Sensex and S&P Nifty. Further, for testing the interconnection between macro-economic factors and Indian stock market Pearson's correlation, Factor Analysis and Multiple Regression test have been applied. Three variables namely Economy Rates, Macro Environment and Foreign Investment are obtained by using Principal Component Technique (varimax pivot). It shows that all elements play critical role in affecting the stock market.

Retail and Consumer Prices, 1955-1963

1964 ◽  
Vol 30 ◽  
pp. 44-51 ◽  
Author(s):  
W. A. H. Godley ◽  
D. A. Rowe
Keyword(s):  
Price Index ◽  
Consumer Price Index ◽  
National Income ◽  
Food Prices ◽  
The Other ◽  
Short Term ◽  
Unit Costs ◽  
Correct Analysis ◽  
Consumer Prices ◽  
Retail Prices

This paper gives an account of a method of forecasting the Ministry of Labour's retail prices index, and of deriving from it a forecast of the consumer price index. (This is the index used in the National Income statistics to deflate the value of consumers' expenditure to volume terms.) Good forecasting obviously has to be based on a correct analysis of the factors which determine price changes; the article throws light on the way in which cost changes are taken into account when prices are changed. It seems that retail prices (apart from seasonal food prices) do not respond directly to short-term fluctuations in demand and output. Businessmen do not raise prices because demand suddenly rises; nor on the other hand do they lower them when output moves up sharply and unit costs fall. The analysis, therefore, provides further support for the ‘normal cost’ theory of pricing—that businessmen set prices by calculating their costs when working at some normal capacity, and add a conventional margin.

scholarly journals ESTIMATION OF LONG-RUN RELATIONSHIP OF INFLATION (CPI & WPI), AND OIL PRICES WITH KSE-100 INDEX: EVIDENCE FROM JOHANSEN MULTIVARIATE COINTEGRATION APPROACH

2017 ◽  
Vol 23 (4) ◽  
pp. 567-588 ◽  
Author(s):  
Rizwan RAHEEM AHMED ◽  
Jolita VVEINHARDT ◽  
Dalia ŠTREIMIKIENĖ ◽  
Saghir Pervaiz GHAURI ◽  
Nawaz AHMAD
Keyword(s):  
Crude Oil ◽  
Price Index ◽  
Consumer Price Index ◽  
Wholesale Price ◽  
Impulse Response Function ◽  
Oil Prices ◽  
Crude Oil Prices ◽  
Long Run ◽  
Wholesale Price Index ◽  
Relationship Of

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.

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