An econometric analysis of retail turnover in Russia

2020 ◽  
Vol 19 (6) ◽  
pp. 1133-1153
Author(s):  
A.T. Kozinova
Keyword(s):  
Household Income ◽  
Inflation Targeting ◽  
Import Substitution ◽  
Consumer Price Index ◽  
Strong Relationship ◽  
Econometric Analysis ◽  
Retail Trade ◽  
Economic Instability ◽  
Consumer Prices ◽  
Macroeconomic Indicators

Subject. The article deals with econometric analysis of retail turnover in Russia and its relationship with macroeconomic indicators, like real disposable household income, consumer prices, etc. Objectives. The purpose is to create effective models to analyze the retail turnover in Russia and its relationship with other macroeconomic indicators, taking into account the existence of periods of economic instability. Methods. I apply correlation and regression methods to analyze statistics. To quantify changes in the retail turnover of Russia during the periods of economic instability, I use dummy variables. Results. The Russia’s retail trade turnover index had a reverse and moderate relationship with the consumer price index, direct and strong relationship with the indices of real disposable household income and imports, direct relationship with the manufacturing index. I offer statistically significant regression models of Russia’s retail turnover with the said macroeconomic indicators. Conclusions. The main advantage of models of retail turnover that are built using a large number of observations is a greater number of simultaneously considered factors. The quantitative assessment of retail turnover elasticity by consumer prices confirms the need for inflation targeting by the Central Bank of the Russian Federation. The higher elasticity of retail turnover in manufacturing as compared with the imports denotes the importance of import substitution policy.

The Use of Econometric Analysis in Forecasting Macroeconomic Processes

2021 ◽  
pp. 28-33
Author(s):  
Aleksandr Kalyanov ◽  
Andrey Shishkin
Keyword(s):  
Multiple Regression ◽  
Econometric Model ◽  
Econometric Analysis ◽  
Regression Equation ◽  
Multiple Regression Equation ◽  
Linear Multiple Regression ◽  
Consumer Prices ◽  
Macroeconomic Indicators ◽  
Primary Impact ◽  
Selection Of

The article discusses the issues related to the influence of various price categories of goods on the level of inflation. The possibility of using econometric analysis for predictive purposes is considered. An econometric model of multiple regression of the influence of consumer prices on the level of inflation is formed. A linear multiple regression equation is constructed. The selection of factors for the construction of an econometric model is made. The main groups of goods are identified, the prices of which form the level of inflation and can have a primary impact. The viability of the model and the possibility of forecasting macroeconomic indicators based on econometric analysis are proved.

scholarly journals Towards inflation targeting in Egypt: the relationship between exchange rate and inflation

2012 ◽  
Vol 15 (3) ◽  
pp. 325-332 ◽  
Author(s):  
Aliaa Khodeir
Keyword(s):  
Exchange Rate ◽  
Inflation Targeting ◽  
Price Index ◽  
Consumer Price Index ◽  
Wholesale Price ◽  
Strong Relationship ◽  
Causality Test ◽  
Wholesale Price Index ◽  
Exchange Rate Movements ◽  
The Relationship

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’.

Perspectives on inflation Targeting Regime in Russia

2014 ◽  
pp. 107-121 ◽  
Author(s):  
S. Andryushin
Keyword(s):  
Monetary Policy ◽  
Financial Markets ◽  
Interest Rates ◽  
Inflation Targeting ◽  
Short Term ◽  
Indirect Control ◽  
Financial Account ◽  
Domestic Prices ◽  
Macroeconomic Indicators ◽  
Private And Public

The paper analyzes monetary policy of the Bank of Russia from 2008 to 2014. It presents the dynamics of macroeconomic indicators testifying to inability of the Bank of Russia to transit to inflation targeting regime. It is shown that the presence of short-term interest rates in the top borders of the percentage corridor does not allow to consider the key rate as a basic tool of monetary policy. The article justifies that stability of domestic prices is impossible with-out exchange rate stability. It is proved that to decrease excessive volatility on national consumer and financial markets it is reasonable to apply a policy of managing financial account, actively using for this purpose direct and indirect control tools for the cross-border flows of the private and public capital.

scholarly journals Dynamic Relations of Consumer Prices: A Case Study of Recent Effects on the Japanese Headline CPI

2016 ◽  
Vol 3 (2) ◽  
pp. 28
Author(s):  
Chikashi Tsuji
Keyword(s):  
Impulse Response ◽  
Statistical Significance ◽  
Consumer Price Index ◽  
Variable Coefficients ◽  
Vector Error Correction ◽  
Vector Error ◽  
Consumer Prices ◽  
Dynamic Relations ◽  
Vector Error Correction Models

<p>This study attempts to empirically examine the relations between the headline consumer price index (CPI) and several other CPIs in Japan by applying the vector error correction models (VECMs). Our investigations derive the following interesting findings. First, we reveal that as to our four combinations of the CPIs tested in this paper, 1) all variable coefficients in the cointegrating equations are statistically significant in our VECM models and the statistical significance is very strong. Thus, we understand that our four bivariate combinations of the CPIs tested in this paper are all strongly cointegrated and the VECM approach is very effective to capture the time-series effects of the categorized CPIs on the Japanese headline CPI. Further, we also find that 2) as far as judging by the results of our impulse response analyses, for the period from May 2011 to June 2015, the headline CPI for Japan is weakly or little affected by the CPI of energy and the CPI of food for Japan. We further clarify that 3) according to the results of our impulse response analyses, the Japanese headline CPI is positively affected by both the CPI of utilities for Japan and the CPI of transportation and communication expenses for Japan.</p>

TREND INFLATION AND MONETARY POLICY IN EASTERN EUROPE

2017 ◽  
Vol 23 (4) ◽  
pp. 1649-1663
Author(s):  
Monika Junicke
Keyword(s):  
Monetary Policy ◽  
Transition Economies ◽  
Inflation Targeting ◽  
Price Index ◽  
Consumer Price Index ◽  
Producer Price ◽  
Trend Inflation ◽  
Theoretical Predictions ◽  
Dynamic Stochastic ◽  
Eastern European Countries

I use a two-country dynamic stochastic general equilibrium (DSGE) model with a nonzero steady-state inflation to study monetary policy in transition economies. In particular, my analysis focuses on whether inflation targeting is based on a consumer price index (CPI) or its producer counterpart, producer price index (PPI). This issue is specifically relevant for transition economies as they might be subject to Balassa–Samuelson effects arising from trading in international markets. Under these circumstances, domestic inflation is possibly higher than imported inflation, hence targeting PPI inflation may prove more effective in influencing domestic macroeconomic variables than targeting CPI inflation. Using a Bayesian methodology, I find that the central banks of three Eastern European countries (namely, the Czech Republic, Hungary, and Poland) are likely to target PPI inflation rather than CPI inflation. This result is in line with the theoretical predictions in the literature, and is robust across several Taylor-type rules.

scholarly journals Building a House Prices Forecasting Model in Hong Kong

2012 ◽  
Vol 2 (2) ◽  
pp. 57-70
Author(s):  
Xin Janet ◽  
Ka-Chi Lam
Keyword(s):  
Regression Analysis ◽  
Hong Kong ◽  
Household Income ◽  
House Prices ◽  
Alternative Methods ◽  
Forecasting Model ◽  
Land Supply ◽  
Related Data ◽  
Political Events ◽  
Macroeconomic Indicators

This paper builds a house prices forecasting model for private residential houses in HongKong, based on general macroeconomic indicators, housing related data and demographicfactors for the period of 1980 to 2001. A reduce form economic model has been derivedfrom a multiple regression analysis where three sets and eight models were derived foranalysis and comparison. It is found that household income, land supply, population andmovements in the Hang Seng Index play an important role in explaining house pricemovements in Hong Kong. In addition, political events, as identified, cannot be ignored.However, the results of the models are unstable. It is suggested that the OLS may nota best method for house prices model in Hong Kong situation. Alternative methods aresuggested.

scholarly journals Unraveling the association between socioeconomic diversity and consumer price index in a tourism country

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yan Leng ◽  
Nakash Ali Babwany ◽  
Alex Pentland
Keyword(s):  
High Resolution ◽  
Ethnic Diversity ◽  
Large Scale ◽  
Price Index ◽  
Consumer Price Index ◽  
Modern Society ◽  
Mobile Phone Data ◽  
Diversity Measures ◽  
Macroeconomic Indicators ◽  
The Relationship

AbstractDiversity has tremendous value in modern society. Economic theories suggest that cultural and ethnic diversity may contribute to economic development and prosperity. To date, however, the correspondence between diversity measures and the economic indicators, such as the Consumer Price Index, has not been quantified. This is primarily due to the difficulty in obtaining data on the micro behaviors and macroeconomic indicators. In this paper, we explore the relationship between diversity measures extracted from large-scale and high-resolution mobile phone data, and the CPIs in different sectors in a tourism country. Interestingly, we show that diversity measures associate strongly with the general and sectoral CPIs, using phone records in Andorra. Based on these strong predictive relationships, we construct daily, and spatial maps to monitor CPI measures at a high resolution to complement existing CPI measures from the statistical office. The case study on Andorra used in this study contributes to two growing literature: linking diversity with economic outcomes, and macro-economic monitoring with large-scale data. Future study is required to examine the relationship between the two measures in other countries.

scholarly journals POPULATION INCOME DYNAMICS AND ECONOMIC GROWTH IN THE NORTH CAUCASIAN FEDERAL DISTRICT

Kavkaz-forum ◽  
2021 ◽  
pp. 113-123
Author(s):  
М.Р. КУЛОВА ◽  
Е.Ю. ИВАНОВА ◽  
Т.Ю. ИТАРОВА
Keyword(s):  
Economic Growth ◽  
Household Income ◽  
Correlation Coefficients ◽  
Strong Relationship ◽  
Federal District ◽  
Gross Regional Product ◽  
North Caucasus ◽  
Significant Discrepancy ◽  
The North ◽  
Regional Product

В статье рассматриваются особенности взаимосвязи, инертность и изменчивость динамики доходов населения и показателей валового регионального продукта в субъектах Северо-Кавказского федерального округа. В условиях стагнации российской экономики в последние годы проблема роста валового регионального продукта и доходов населения в депрессивных регионах Северного Кавказа приобретает особую значимость. Проведенный авторами корреляционный анализ доходов населения и валового регионального продукта за 2000-2018 гг. методом Пирсона выявил, что, в отличие от российских регионов в целом с их достаточно сильной связью между валовым региональным продуктом и доходами населения, в регионах Северного Кавказа наблюдалось очень значительное расхождение в коэффициентах корреляции. В частности, в Северной Осетии в течение 2011-2015 гг. экономический рост и доходы населения находились в состоянии слабой зависимости, а уже в 2015-2018 гг. эта связка стала почти идеальной, когда коэффициент корреляции достиг 0,99. Резкие скачки в тесноте связей ВРП и доходов населения имели место в Дагестане, Карачаево-Черкессии, в то время как относительно стабильная динамика коэффициентов корреляции ВРП с доходами была характерна для Ингушетии. В Кабардино-Балкарии и Ставропольском крае, где были отмечены низкие и отрицательные значения коэффициентов корреляции, в динамике доходов населения и экономическим ростом проявилась либо слабая связь, либо обратная связь, когда увеличение одной переменной приводит к уменьшению другой. В целом, разнонаправленность динамики показателей валового регионального продукта и доходов населения в регионах СКФО отражает неэффективность экономической политики и необходимость более дифференцированного подхода к отдельным территориям макрорегиона. The article discusses the features of the relationship, inertia and variability of the dynamics of household income and gross regional product indicators in the subjects of the North Caucasian Federal District. In the context of the stagnation of the Russian economy in recent years, the problem of the growth of GRP and income of the population in the depressed regions of the North Caucasus is of particular importance. The authors' correlation analysis of the population's income and the gross regional product for 2000-2018 according to Pearson method revealed that, in contrast to the Russian regions as a whole with their rather strong relationship between the gross regional product and the population's income, there was a very significant discrepancy in the correlation coefficients in the regions of the North Caucasus. In particular, in North Ossetia, during 2011-2015, economic growth and income of the population were in a state of weakened mutual dependence, and already in 2015-2018, this link became almost perfect, when the correlation coefficient reached 0.99. Sharp changes in the close relationship between GRP and income of the population occurred in Dagestan, Karachay-Cherkessia, while the relatively stable dynamics of the correlation coefficients of GRP with income was characteristic of Ingushetia. In Kabardino-Balkaria and Stavropol Krai, where low and negative values of correlation coefficients were noted, the dynamics of household income and economic growth showed either a weak relationship or an inverse relationship, when an increase in one variable leads to a decrease in the other. In general, the divergence of the dynamics of the gross regional product and income indicators in the regions of the NCFD reflects the inefficiency of economic policy and the need for a more differentiated approach to individual territories of the macroregion.

scholarly journals Törnqvist Formula for Сalculating a Consumer Price Index in Russia: Theory and Practice

2020 ◽  
Vol 27 (5) ◽  
pp. 87-94
Author(s):  
М. A. Kozlova
Keyword(s):  
Price Index ◽  
Empirical Studies ◽  
Consumer Price Index ◽  
Theory And Practice ◽  
Consumer Market ◽  
Country Level ◽  
Consumer Prices ◽  
Realistic Description ◽  
The Difference ◽  
Main Consumer

The article reflects the author’s position on the adjustment of the so-called substitution bias, which affects the value of the consumer price index, currently calculated using the Laspeyres formula. The author proposes a solution to the problem of the adequacy of statistical measurements of the dynamics of consumer prices in the case when, as a result of changing cost of the consumer basket, a buyer replaces a relatively expensive product with a relatively cheaper one. This solution is based on the existing index construction methodology (axiomatic, economic and stochastic approaches). The article substantiates the use of the Törnqvist formula, which has better properties in comparison with other formulae used in the construction of superlative indices. The authors calculated the Törnqvist price index for Russia based on Rosstat methodology and data using country-level quarterly group price indices and shares of consumer spending. To evaluate the results of empirical testing Laspeyres price index was compiled using the same quarterly data as the Törnqvist index. The values of the Törnqvist price index in most cases are less than the price dynamics obtained according to the Laspeyres formula. This conclusion is proved both theoretically and empirically, and it is confirmed for Russia as well. However, due to the non-observance of the conditions of smooth trends in consumer prices, the difference between the values of the Törnqvist and Laspeyres indices is significantly larger in certain quarters than that presented in empirical studies in other countries. Consumer price index, calculated using the Törnqvist formula, in the system of indicators of price statistics in Russia can be defined as an indicator that specifies the main consumer price index. Calculation of its value is necessary for a more realistic description of the processes taking place in the consumer market.

scholarly journals Albania's Monetary Policy and the Basic Indicators that Effect the Economic Growth

2019 ◽  
Vol 2 (2) ◽  
pp. 51
Author(s):  
Bernard Balla
Keyword(s):  
Economic Growth ◽  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rates ◽  
Inflation Targeting ◽  
Inflation Rate ◽  
Full Employment ◽  
Price Stability ◽  
Macroeconomic Policies ◽  
Consumer Prices

Macroeconomic policies aim to stabilize the economy by achieving their goal of price stability, full employment and economic growth. Price stability is the responsibility of macroeconomic policies that are developed to maintain a low inflation rate, contribute to the solidity of the domestic product and maintain an exchange rate that can be predictable. The purpose of this paper is to analyze Albania's monetary policy by highlighting the main indicators that can be used as a measurement of the efficiency of this policy in the economic development. The literature review shows that there are many attitudes regarding the factors that need to be taken into consideration when analyzing monetary policies, including the elements of fiscal policies. In the Albanian economy, the prices and the level of inflation are the most important aspects. The Bank of Albania uses the inflation targeting regime, considering that the main indicator of inflationary pressures in the economy is the deviation of inflation forecasted in the medium term by its target level. In numerical terms, the bank intends to maintain its annual growth in consumer prices at the level of 3%. According to the latest reports published by the Bank of Albania in 2019, monetary policy continues to contribute positively to a financial environment with a low interest rate and an annual inflation rate of 2%. Although the inflation rate hit the lowest value of 1.8 % in 2018, a balanced rate was achieved through the reduction of interest rates and risk premiums in financial markets and, more recently, through the tightening of the exchange rate. These monetary conditions are appropriate to support the growth of domestic demand and the strengthening of inflationary pressures.

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