This study analyses Granger-causality between the return series of CPI and PPI (i.e., inflation measured by CPI and PPI) for Romania, by using monthly data covering the period of 1991m1 to 2011m11. To analyse the issue in depth, this study decomposes the time-frequency relationship between CPI-...

We report that the X-12 ARIMA and TRAMO–SEATS seasonal adjustment methods consistently underestimate the variability of the differenced seasonally adjusted series. We show that underestimation is due to a non-zero estimation error in estimating the seasonal component at each time period, which...

The paper presents a small macro model for Pakistan economy focusing the impact of investment in human capital on the key macroeconomic variables. The demand side is modeled along the Keynesian lines while the supply side is modeled as per neoclassical theory of production. This framework allows...

We develop and estimate a medium-sized, semi-structural model for the Brazilian economy during the inflation targeting period. The model describes fairly well key features of the economy and allows us to decompose the transmission mechanism of monetary policy. In the baseline decomposition, the...

A spatial error model is classified as a geostatistical model or a weight matrix model on the basis of the method of specification of spatial autocorrelation in the disturbance. Specification errors cannot be assumed to be absent, and the robustness of alternative specifications is useful for...

The Chinese economic development affects GDP growth and inflation in the advanced countries. The size of the effects is inferred from multivariate time series and structural econometric methods. In particular, the GVAR and the NiGEM are employed to examine the interdependencies between the...

This article contributes to the literature by investigating the dynamic relationship between carbon dioxide (CO2) emissions, output (GDP), energy consumption, and trade using the bounds testing approach to cointegration and the ARDL methodology for Tunisia over the period 1971–2008. The...

We develop a methodology of parametric modeling of time series dynamics when the underlying loss function is linear-exponential (Linex). We propose to directly model the dynamics of the conditional expectation that determines the optimal predictor. The procedure hinges on the exponential quasi...

This study attempts to infer the length of aggregate time-to-build period by estimating DSGE models with different investment lags and comparing their fits to the data. The models considered in this study use two, four, six, and eight quarters of investment lags. The Bayesian estimation result...

In this paper, we advocate the search frequency of stock name in Baidu Index as a novel and direct proxy for investor attention. Firstly, empirical results show that the quantified investor attention is a desired explanatory variable for abnormal return even trading volume is considered....