AN INVESTIGATION INTO THE DYNAMIC RELATIONSHIP BETWEEN CPI AND PPI: EVIDENCE FROM THE UK, FRANCE AND GERMANY

2018 ◽  
Vol 64 (05) ◽  
pp. 1081-1100
Author(s):  
KAI-YIN WOO ◽  
SHU-KAM LEE ◽  
CHO-YIU JOE NG

This paper examines the dynamic relationship between the consumer price index (CPI) and the producer price index (PPI) in the UK, France and Germany from 1997 to 2013. We employ the momentum-threshold autoregressive (MTAR) cointegration model for empirical analysis. The results show that the CPI and the PPI are cointegrated with bi-directional long-run Granger causality between CPI and PPI, signifying the existence of both demand-pull and the cost-push nature of inflation. The estimates of threshold vector error correction models (TVECMs) indicate asymmetric adjustments to equilibrium, where upward adjustments are statistically significant but downward adjustments are sluggish and insignificant. Moreover, we generate the unconditional half-life estimates as a measure of persistence, which reveal robust evidence of complex non-linearities in the adjustment process. Our overall results provide valuable information for policymakers to formulate inflation-control policies and optimal policy horizons under a non-linear framework.

2018 ◽  
Vol 10 (6) ◽  
pp. 25 ◽  
Author(s):  
Daniel Francois Meyer ◽  
Thomas Habanabakize

The variables the consumer price index (CPI), the producer price index (PPI) and the purchasing managers’ index (PMI) and play major roles in economic forecasting. The overall objective of this study is to assess the inter-relationships between CPI, PPI and PMI as predicting variables. This study is quantitative in nature and employed an ARDL econometric model, error correction model (ECM) and Granger causality approaches to establish long and short-run relationships. The ARDL method was used due to the fact that the variables had a mix of stationarity at levels I (0) and the first difference I (1). Quarterly datasets were obtained from Statistics South Africa (Stats SA) and the Bureau of Economic Research (BER) for the period 2000 to 2017. Results from the estimations discovered that variables cointegrate in the long-run. Additionally, evidence of short-run relationships has been determined using ECM. Furthermore, causal relationships were also analysed with results indicating that CPI causes PMI and PPI causes PMI. The implication of the research is the confirmation of the importance of relationships between CPI, PPI and PMI, which is especially significant in the short-run and the three index indicators are important macro-economic indicators for changes in overall economic activity on a macro level.


2018 ◽  
Vol 10 (6(J)) ◽  
pp. 25-32
Author(s):  
Daniel Francois Meyer ◽  
Thomas Habanabakize

The variables the consumer price index (CPI), the producer price index (PPI) and the purchasing managers’ index (PMI) and play major roles in economic forecasting. The overall objective of this study is to assess the inter-relationships between CPI, PPI and PMI as predicting variables. This study is quantitative in nature and employed an ARDL econometric model, error correction model (ECM) and Granger causality approaches to establish long and short-run relationships. The ARDL method was used due to the fact that the variables had a mix of stationarity at levels I (0) and the first difference I (1). Quarterly datasets were obtained from Statistics South Africa (Stats SA) and the Bureau of Economic Research (BER) for the period 2000 to 2017. Results from the estimations discovered that variables cointegrate in the long-run. Additionally, evidence of short-run relationships has been determined using ECM. Furthermore, causal relationships were also analysed with results indicating that CPI causes PMI and PPI causes PMI. The implication of the research is the confirmation of the importance of relationships between CPI, PPI and PMI, which is especially significant in the short-run and the three index indicators are important macro-economic indicators for changes in overall economic activity on a macro level.


2012 ◽  
Vol 01 (07) ◽  
pp. 17-29
Author(s):  
Furrukh Bashir ◽  
Shahbaz Nawaz ◽  
Rahat Ullah ◽  
Muhammad Ramzan Arshad ◽  
Munwar Bagum ◽  
...  

Education is always considered as the major determinant for the development of any economy. Enrollment at various levels also shows that how much education is common within the citizens of the country. Considering the importance of enrollment, the current study examines the influence of some macroeconomic variables on various levels i.e. primary, secondary, higher, college, professional and university enrollment in Pakistan. Time series data has been gathered on consumer price index, government revenue, employed labor force, government expenditure, and health expenditure for the period from 1972 to 2010. For long run estimates, Johansen Co integration test is used and short run estimates are taken through error correction model. The results of the study exhibit positive association of employed labor force, government expenditure and health expenditure with primary, secondary, higher, college, professional and university enrollment in Pakistan. On the other side, consumer price index and government revenue have been found to be inversely influencing enrollment at various levels. Short run results are also much favorable for the economy and reveals convergence towards long run equilibrium due to any disturbances in the short run period. At the end study gives some policy implications that government should decrease consumer price index and tax rate and to increase government expenditure in terms of education and health for higher enrollment rates in Pakistan.


2017 ◽  
Vol 23 (4) ◽  
pp. 1649-1663
Author(s):  
Monika Junicke

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.


2018 ◽  
Vol 1 (3) ◽  
pp. 128
Author(s):  
Andyka Kusuma ◽  
Tri Tjahjono ◽  
Nuzul Achjar

Traffic accident cost analysis is needed to predict potential losses of nation due to the emergence of traffic accident victims. The cost of traffic accidents in Indonesia is based on the characteristics of the City of Bandung in 2003, and it is shown that the cost of traffic accidents can vary according to regional characteristics. This study tries to compare the analytical approach in Bandung in 2003 with the Consumer Price Index and Human Development Index approaches for an area with medium accessibility, namely East Lombok, West Nusa Tenggara Province. The location of traffic accidents greatly influences the cost of traffic accidents, because the costs on inter-city roads are relatively higher compared to those on roads in the city. This study shows that the cost of traffic accidents is related to accessibility of health facilities. This analysis can be developed for all regions in Indonesia, so that it can be used as a reference for traffic stakeholders in assessing the performance of the traffic safety programs implemented. Analisis biaya kecelakaan lalu lintas diperlukan untuk memprediksi potensi kerugian negara akibat timbulnya korban kecelakaan lalu lintas. Biaya kecelakaan lalu lintas di Indonesia dibangun berdasarkan karakteristik kota Bandung tahun 2003, dan diperlihatkan bahwa biaya kecelakaan lalu lintas dapat bervariasi sesuai dengan karakteristik wilayah. Penelitian ini mencoba membandingkan pendekatan analisis di Bandung tahun 2003 dengan pendekatan Indeks Harga Konsumen dan Indeks Pembangunan Manusia untuk suatu wilayah dengan aksesibilitas menengah, yakni Lombok Timur, Provinsi Nusa Tenggara Barat. Lokasi kecelakaan lalu lintas sangat mempengaruhi biaya kecelakaan lalu lintas, karena biaya di jalan antar kota relatif lebih tinggi dibandingkan dengan biaya di jalan dalam kota. Penelitian ini meperlihatkan bahwa biaya kecelakaan lalu lintas terkait dengan aksesibilitas fasilitas kesehatan. Analisis ini dapat dikembangkan untuk semua wilayah di Indonesia, sehingga dapat dijadikan acuan bagi pemangku kepentingan lalu lintas dalam menilai kinerja program keselamatan lalu lintas yang dijalankan.


2004 ◽  
Vol 49 (01) ◽  
pp. 71-84 ◽  
Author(s):  
VENUS KHIM-SEN LIEW ◽  
AHMAD ZUBAIDI BAHARUMSHAH ◽  
KIAN-PING LIM

This study re-examines the validity of the relationship between the Singapore dollar–U.S. dollar exchange rate and relative prices using the latest econometric methodologies that account for non-linearity. Among others, this study finds Exponential Smooth Transition Autoregressive (ESTAR)-type non-linear mean-reverting adjustment process of the nominal Singapore dollar–U.S. dollar rate towards the consumer price index ratio. Unlike previous findings of a linear cointegration relationship between the nominal Singapore dollar–U.S. dollar exchange rate and consumer price index ratio, this study shows that the relationship is in fact non-linear in nature. The major economic implications of our findings are: (1) policy makers need to take non-linearity into consideration in their policy decisions; (2) the Monetary Authority of Singapore (MAS) is able to maintain the macroeconomic equilibrium despite the authority's strong dollar policy; and (3) one should keep track of Singapore's monetary policy and other innovations in aggregate demand in order to closely monitor the movement of the Singapore exchange rate.


1977 ◽  
Vol 6 (2) ◽  
pp. 263-274
Author(s):  
Leslie E. Small ◽  
Donn A. Derr

During the past decade, the cost of constructing new homes has risen dramatically. While the overall consumer price index rose by 74 percent between 1967 and the end of 1976, the cost of constructing new housing rose by about 103 percent nationally. This trend in costs has priced a growing proportion of lower and middle income groups out of the market for new houses. The national average price for new housing is currently $52,000 per unit. This has led to expressions of public concern that efforts need to be undertaken to find ways by which these low and middle income groups can obtain access to new housing.


1994 ◽  
Vol 15 (3) ◽  
pp. 1-3
Author(s):  
Bendley Melville

The impact of deteriorating socio-economic conditions on breast-feeding duration in Jamaica is examined In spite of dramatic increases in the consumer price index for food and drink and consequently in the cost of artificial feeding, breast-feeding duration declined by 10.6% during 19871991. This was apparently due to a reduction in postpartum visits by district midwives. It is concluded that breast-feeding promotion should receive increased support under conditions of severe economic hardship.


2013 ◽  
Vol 17 (2) ◽  
pp. 188-198 ◽  
Author(s):  
Roula Inglesi-Lotz ◽  
Rangan Gupta

This paper investigates whether house prices provide a suitable hedge against inflation in South Africa by analysing the long-run relationship between house prices and the prices of non-housing goods and services. Quarterly data series are collected for the luxury, large middle-segment, medium middle-segment, small middle-segment and the entire middle segment of house prices, as well as, the consumer price index excluding housing costs for the period 1970:Q1–2011:Q1. Based on autoregressive distributed lag (ARDL) models, the empirical results indicate long-run cointegration between the house prices of all the segments and the consumer price index excluding housing costs. Moreover, the long-run elasticity of house prices with respect to prices of non-housing goods and services, i.e., the Fisher coefficient is greater than one for the luxury segment, virtually equal to one for the small middle-segment, and less than one for the large and medium middle-segments, as well as the affordable segments. More importantly though, the estimated Fisher coefficients are not statistically different from unity – a result consistent with the proposed theoretical framework relating housing prices and consumer prices excluding housing expenditure. In general, we infer that house prices in South Africa provide a stable inflation hedge in the long-run.


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