scholarly journals The Relationship Between Industrial Production Index, Oil Prices and Consumer Price Index in the Turkish Economy

2021 ◽  
Vol 8 (2) ◽  
pp. 211-223
Author(s):  
Haydar Karadağ
Keyword(s):  
Industrial Production ◽  
Price Index ◽  
Consumer Price Index ◽  
Oil Prices ◽  
Production Index ◽  
Industrial Production Index ◽  
Turkish Economy ◽  
The Relationship

ANALYSIS OF THE RELATIONSHIP BETWEEN ECONOMIC GROWTH, INFLATION AND UNEMPLOYMENT IN TURKEY WITH THE ARDL BOUNDS TESTING APPROACH

2021 ◽  
Vol 6 (15) ◽  
pp. 299-312
Author(s):  
Özlem KARADAĞ AK
Keyword(s):  
Economic Growth ◽  
Industrial Production ◽  
Consumer Price Index ◽  
Bounds Testing ◽  
Short Term ◽  
Production Index ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Industrial Production Index ◽  
Cointegration Relationship

The aim of this study is to examine the effects of economic growth and inflation on unemployment for the period 2005:1- 2020:9 in Turkey by using ARDL (Auto Regressive Distributed Lag) model. In the study, firstly unit root tests were carried out to determine whether economic growth (ind) and inflation (cpi) have long and short-term effects on unemployment (unemp). Then, the ARDL method was used to determine whether there is a long-term relationship between the series in the model where the unemployment rate is the dependent variable, the Industrial Production Index representing economic growth and the Consumer Price Index (CPI) representing inflation. Instead of GDP, the Industrial Production Index was preferred both to harmonize with the monthly data and to make a production-based analysis. As a result of the analysis, it was determined that there was a statistically significant cointegration relationship between the variables, and the short-term relationship was analyzed with the error correction model (ECM). As a result of the analysis, it has been determined that there is a cointegration relationship between unemployment, inflation rate and economic growth in Turkey. According to the results of the analysis, negative between unemployment and industrial production index; It is seen that there is a positive relationship between unemployment and inflation.

scholarly journals Industrial production index - crude oil price nexus: Russia, Kazakhstan and Azerbaijan

2020 ◽  
Vol 65 (227) ◽  
pp. 119-141
Author(s):  
Fatih Kaplan ◽  
Ayşe Ünal
Keyword(s):  
Crude Oil ◽  
Frequency Domain ◽  
Industrial Production ◽  
Oil Prices ◽  
Oil Price ◽  
Causality Analysis ◽  
Crude Oil Price ◽  
Causality Test ◽  
Production Index ◽  
Industrial Production Index

The study aims to examine the causality between industrial production index and crude oil price for Russia, Kazakhstan and Azerbaijan by using Frequency Domain Causality Analysis. For this purpose, the monthly data of the industrial production index and Brent oil price data over the period 1993-2019 are used. The Frequency Domain Causality Analysis suggests that the uni-directional causality relationship runs from oil prices to industrial production index is valid in the medium run for Russia and Azerbaijan and in the short run for Kazakhstan. However, there is no uni-directional causality linkage between oil prices and industrial production index in the long run for any of the countries. We hope to contribute to the literature by using frequency-domain causality test which examines the interrelation of crude oil prices on industrial production with the periodicity in these countries. The finding of this study is expected to serve as a tool for industrial production policy.

scholarly journals THE EFFECT OF COUNTRY RISK AND MACROECONOMIC ON JAKARTA ISLAMIC INDEX

2020 ◽  
Vol 6 (1) ◽  
pp. 151
Author(s):  
Masrizal Masrizal ◽  
Miftahurrahman Miftahurrahman ◽  
Sri Herianingrum ◽  
Yayan Firmansah
Keyword(s):  
Exchange Rates ◽  
Industrial Production ◽  
Financial Risk ◽  
Oil Prices ◽  
Research Approach ◽  
Production Index ◽  
Industrial Production Index ◽  
The Government ◽  
Economic Risks

This study examines the impacts of Indonesia's country risks (i.e. financial risk, political risk, and economic risk), exchange rate, oil prices, and industrial production index on the Jakarta Islamic Index (JII). This research use monthly data from January 2003 to March 2016 with a quantitative research approach that applies Johansen Cointegration Test and Vector Error Correction Model (VECM) to see the long-term impact and response of shocks on certain variables. The findings show the existence of short-term and long-term causalities between macroeconomic variables and the Jakarta Islamic index. Specifically, in the long run, financial risk, oil prices, and exchange rates have a significant positive effect on Jakarta Islamic Index, while economic risks and industrial production index have a significant negative on Jakarta Islamic Index. This finding shows that investors consider financial risks, economic risks, and exchange rates in investments. This finding also tells the government that several important macroeconomic indicators need to be considered.

Industrial Output in the USSR and Russia, 1861—2012. Part II. Crises and Cycles

2013 ◽  
pp. 138-153 ◽  
Author(s):  
S. Smirnov
Keyword(s):  
Industrial Production ◽  
Turning Points ◽  
Russian Empire ◽  
Industrial Output ◽  
Production Index ◽  
Russian Industry ◽  
Industrial Production Index ◽  
Cyclical Volatility

Calculation of the aggregated "consensus" industrial production index has made it possible to date cyclical turning points and to measure the depth and length of the main industrial recessions in Russian Empire/USSR/Russia for the last century and a half. The most important causes of all these recessions are described. The cyclical volatility of Soviet/Russian industry is compared to that of American one.

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 Analisis Indeks Harga Konsumen di Indonesia Melalui Pendekatan Kointegrasi

2019 ◽  
Vol 4 (2) ◽  
pp. 110-118
Author(s):  
Muhamad Muin ◽  
Keyword(s):  
Exchange Rate ◽  
Empirical Study ◽  
Money Supply ◽  
Price Index ◽  
Consumer Price Index ◽  
Data Series ◽  
Short Term ◽  
Monthly Data ◽  
The Relationship

This study aims to analyze the relationship between the rupiah exchange rate (RER) and the money supply (M1) on the outgrowth of the consumer price index (CPI) in Indonesia. The data used in this study are monthly data series from January 2005 to January 2019. The results of this empirical study shows that there is a relationship between RER and M1 on CPI in the long term and there is a correction in the short term balance (ECM) which is influenced by M1. All of these variables are significant at α = 5% and partly significant at α = 1%.

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