scholarly journals The Phillips Curve and NAIRU Revisited: New Estimates for Germany

2008 ◽  
Vol 228 (5-6) ◽  
Author(s):  
Bernd Fitzenberger ◽  
Wolfgang Franz ◽  
Oliver Bode
Keyword(s):  
Inflation Rate ◽  
Phillips Curve ◽  
Structural Break ◽  
Partially Linear Model ◽  
Time Varying ◽  
German Unification ◽  
Partially Linear ◽  
Expected Inflation ◽  
Inflation Rates ◽  
Definition Of

SummaryThis paper provides new estimates of a time-varying NAIRU for Germany taking account of the structural break caused by German unification using two alternative estimators, the Kalman- Filter and the partially linear model. Estimating a standard Phillips curve, the sum of coefficients associated with expected inflation is far below unity, whatever measure of expected inflation rates is employed. Therefore, either the NAIRU concept is not applicable to Germany or, as it is our suggestion, one estimates the unemployment rate that is compatible with a tolerable inflation rate of say 2 percent following roughly the inflation target put forward by the European Central Bank. The estimates presented in this paper suggest that the NAIRU compatible with 2 percent inflation in Germany is currently around 7 percent if the definition of unemployment follows the concept of the ILO. In contrast to the consensus in the literature, our estimates suggest furthermore that the NAIRU in Germany has not increased since the early 1990's.

An Agent-Based Model to Forecast the Inflation Rate in the Eurozone

2017 ◽  
pp. 72-92
Author(s):  
Juan Luis Santos ◽  
Jagoda Anna Kaszowska ◽  
Tomás Mancha Navarro
Keyword(s):  
Financial Institutions ◽  
Inflation Rate ◽  
Phillips Curve ◽  
Supply And Demand ◽  
Single Agent ◽  
Market Equilibrium ◽  
Agent Based Model ◽  
Agent Based ◽  
Long Run ◽  
Inflation Rates

The aim of the agent-based model presented in this chapter is to explain the determinants of inflation and to forecast the inflation rate in the Eurozone for the next five years. The behaviors of agents and their expectations are interrelated and explained by macroeconomic models applied to heterogeneous agents of three classes: individuals, companies and financial institutions. In addition, the behavior of public sector and central bank is also modeled with a single agent of each kind. Once the quantitative easing policy is implemented, the quantitative theory of money expects higher inflation rates in the long run. Inflation should remain low taking into account the Phillips-Curve. Last, according to the Aggregated Supply and Demand as well as to the Money Market equilibrium, the behaviors modeled allow forecasting low inflation. However, an external shock, as it would be an increase in the price of important commodities, can alter the inflation rate to a great extent.

scholarly journals Testing of the Phillips Curve in Indonesia

2020 ◽  
Vol 9 (2) ◽  
pp. 125-135
Author(s):  
Mochamad Choirul Anwar ◽  
Avi Budi Setiawan
Keyword(s):  
Unemployment Rate ◽  
Inflation Rate ◽  
Phillips Curve ◽  
Price Volatility ◽  
Raw Material ◽  
Export Tax ◽  
Inflation Rates ◽  
And Control ◽  
The Relationship ◽  
Unemployment Problem

This study aims to determine how the results of Phillips theory testing in 34 provinces in Indonesia based on the main sectors contributing to the GRDP. The analytical method used in this study is Product Moment correlation analysis to determine the relationship between the inflation rate variable and the unemployment rate variable. The data used in this study are data on open unemployment and inflation rates taken in 34 provinces in Indonesia from 2014-2018. The results of this study indicate there is no Phillips curve pattern in 34 provinces in Indonesia. The inflation rate variable and the unemployment rate variable in 34 provinces in Indonesia based on the main sectors contributing to the GRDP have a positive but very weak relationship with a correlation value of 0.1089. The problem of price volatility (inflation) contributes, although not significantly to the emergence of the unemployment problem. Government policies are needed to control inflation and reduce unemployment rates such as fuel subsidies, corporate tax reductions, export tax reductions, and control of raw material prices considering that the results of this study indicate that rising inflation will be followed by an increase in unemployment.

ON THE USE OF PARTIALLY LINEAR MODEL IN IDENTIFICATION OF ARCING-FAULT LOCATION ON OVERHEAD HIGH-VOLTAGE TRANSMISSION LINES

2004 ◽  
Vol 14 (06) ◽  
pp. 1975-1985
Author(s):  
RASTKO ŽIVANOVIĆ
Keyword(s):  
Linear Model ◽  
Dynamic Behavior ◽  
Nonlinear System Identification ◽  
Identification Problem ◽  
Parametric Modeling ◽  
Partially Linear Model ◽  
Practical Reasons ◽  
Partially Linear ◽  
Pull Out ◽  
Arcing Fault

The task of locating an arcing-fault on overhead line using sampled measurements obtained at a single line terminal could be classified as a practical nonlinear system identification problem. The practical reasons impose the requirement that the solution should be with maximum possible precision. Dynamic behavior of an arc in open air is influenced by the environmental conditions that are changing randomly, and therefore the useful practically application of parametric modeling is out of question. The requirement to identify only one parameter is yet another specific of this problem. The parameter we need is the one that linearly correlates the voltage samples with the current derivative samples (inductance). The correlation between the voltage samples and the current samples depends on the unpredictable arc dynamic behavior. Therefore this correlation is reconstructed using nonparametric regression. A partially linear model combines both, parametric and nonparametric parts in one model. The fit of this model is noniterative, and provides an efficient way to identify (pull out) a single linear correlation from the nonlinear time series.

Approximate Bayesian inference for joint linear and partially linear modeling of longitudinal zero-inflated count and time to event data

2021 ◽  
pp. 096228022110028
Author(s):  
T Baghfalaki ◽  
M Ganjali
Keyword(s):  
Linear Model ◽  
Joint Modeling ◽  
Partially Linear Model ◽  
Event Data ◽  
Time To Event ◽  
Data Set ◽  
Partially Linear ◽  
Time To Event Data ◽  
Count Response ◽  
Approximate Bayesian

Joint modeling of zero-inflated count and time-to-event data is usually performed by applying the shared random effect model. This kind of joint modeling can be considered as a latent Gaussian model. In this paper, the approach of integrated nested Laplace approximation (INLA) is used to perform approximate Bayesian approach for the joint modeling. We propose a zero-inflated hurdle model under Poisson or negative binomial distributional assumption as sub-model for count data. Also, a Weibull model is used as survival time sub-model. In addition to the usual joint linear model, a joint partially linear model is also considered to take into account the non-linear effect of time on the longitudinal count response. The performance of the method is investigated using some simulation studies and its achievement is compared with the usual approach via the Bayesian paradigm of Monte Carlo Markov Chain (MCMC). Also, we apply the proposed method to analyze two real data sets. The first one is the data about a longitudinal study of pregnancy and the second one is a data set obtained of a HIV study.

scholarly journals The time-varying effects of oil prices on oil–gas stock returns of the fragile five countries

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Begüm Yurteri Kösedağlı ◽  
Gül Huyugüzel Kışla ◽  
A. Nazif Çatık
Keyword(s):  
Stock Returns ◽  
Positive Impact ◽  
Structural Break ◽  
Oil Prices ◽  
Time Varying ◽  
Asset Pricing Model ◽  
Daily Data ◽  
Structural Break Test ◽  
The Impact ◽  
Oil Gas

AbstractThis study analyzes oil price exposure of the oil–gas sector stock returns for the fragile five countries based on a multi-factor asset pricing model using daily data from 29 May 1996 to 27 January 2020. The endogenous structural break test suggests the presence of serious parameter instabilities due to fluctuations in the oil and stock markets over the period under study. Moreover, the time-varying estimates indicate that the oil–gas sectors of these countries are riskier than the overall stock market. The results further suggest that, except for Indonesia, oil prices have a positive impact on the sectoral returns of all markets, whereas the impact of the exchange rates on the oil–gas sector returns varies across time and countries.

scholarly journals Will the (German) NAIRU Please Stand Up?

2005 ◽  
Vol 6 (2) ◽  
pp. 131-153 ◽  
Author(s):  
Wolfgang Franz
Keyword(s):  
Inflation Rate ◽  
Phillips Curve ◽  
Critical Assessment ◽  
Time Variability ◽  
Analytical Instrument ◽  
Direct Measures

Abstract This paper deals with a critical assessment of the ‘non-accelerating inflation rate of unemployment’ (NAIRU) for Germany. There are quite a few obstacles to perceiving the NAIRU as an easy-to-use analytical instrument: the possibility of a non-vertical Phillips curve, the occurrence of shocks and hysteresis effects, and the (mis-)measurement of important variables, cointegration issues and a time variability of the NAIRU. A new attempt is made to estimate a NAIRU for Germany using direct measures of inflationary expectations. However, by any method, the NAIRU is very hard to determine and subject to considerable arbitrariness.

scholarly journals Movement of Inflation and New Keynesian Phillips Curve in ASEAN

Economies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 34
Author(s):  
Adhitya Wardhono ◽  
M. Abd. Nasir ◽  
Ciplis Gema Qori’ah ◽  
Yulia Indrawati
Keyword(s):  
Inflation Rate ◽  
Phillips Curve ◽  
New Keynesian ◽  
Inflation Expectations ◽  
New Keynesian Phillips Curve ◽  
Method Of Moment ◽  
Inflation Model ◽  
Wage Inflation ◽  
Generalized Method Of Moment ◽  
Forward Looking

The development of the theory of dynamic inflation begins by linking wage inflation and unemployment. In further developments, factor of expectation is classified into inflation model. The study used inflation data is important for ASEAN, because ASEAN is one of the strengths of the international economy. This study analyzes the dynamics of inflation in the ASEAN using framework the New-Keynesian Phillips Curve (NKPC) model. The data used is the quarterly panel data from 5 ASEAN members in the period 2005.QI–2018.QIV. The study of this dynamic inflation applies quarter to quarter inflation data, meaning that the inflation rate is the percentage change in the general price of the current quarter compared to last quarter general price divided by the last quarter. The empirical results are estimated by using the Generalized Method of Moment (GMM), both of the system and first different indicates that the pattern formation of inflation expectations are backward-looking and forward-looking. In addition, the estimated NKPC models show the backward-looking behavior is more dominant than the forward looking. Changes in inflation are not entirely influenced by expectations of inflation in each country. Changes in inflation are also influenced by the output gap, changes in money supply, and exchange rate. Based on the findings of this study, it can be concluded that the NKPC models can explain the dynamics of inflation in each country in the ASEAN region.

A revisit of the unemployment rate, interest rate, GDP growth and Inflation of Pakistan: Whether Structural break or unit root?

2021 ◽  
Vol 3 (2) ◽  
pp. 80-92
Author(s):  
Sara Muhammadullah ◽  
Amena Urooj ◽  
Faridoon Khan
Keyword(s):  
Interest Rate ◽  
Unemployment Rate ◽  
Unit Root ◽  
Structural Breaks ◽  
Inflation Rate ◽  
Structural Break ◽  
Unit Root Test ◽  
Unit Root Tests ◽  
Gdp Growth ◽  
Macroeconomic Indicators

The study investigates the query of structural break or unit root considering four macroeconomic indicators; unemployment rate, interest rate, GDP growth, and inflation rate of Pakistan. The previous studies create ambiguity regarding the stationarity and non-stationarity of these variables. We employ Zivot & Andrews (1992) unit root test and Step Indicator Saturation (SIS) method for multiple break detection in mean. GDP growth and inflation rate are stationary at level whereas unit root tests fail to reject the null hypothesis of the unemployment rate and interest rate at level. However, Zivot and Andrew unit root test with a single endogenous break indicates that the unemployment rate and interest rate are stationary at level with a single endogenous break. On the other hand, the SIS method reveals that the series are stationary with multiple structural breaks. It is inferred that it is inappropriate to take the first difference of the unemployment rate and interest rate to attain stationarity. The results of this study confirmed that there exist multiple breaks in the macroeconomic variables considered in the context of Pakistan.

Sign in / Sign up

Export Citation Format

Share Document