Abstract in Russian:В настоящем исследовании для определения ненаблюдаемых переменных разработаны полуструктурные макроэкономические модели для каждой страны региона...

The implementation of any State’s economic policy involves first developing short-term, mid-term and long-term forecasts, as well as socio-economic development programs. Their quality is largely dependent on credible assessments of the current economic setting, whose findings will then inform...

Initial Gross Domestic Product (GDP) announcements are important economic signals that convey information on the state of the economy but contain substantial estimation error. We investigate how GDP estimation errors affect firms' real decisions and profitability. Consistent with theoretical...

This empirical work aims to determine whether the government expenditure shocks on consumption have impacts on macroeconomic factors. This study prepares four quarterly period datasets associated with macroeconomic activities in Indonesia with 24 data started in 2017 until 2022, such as...

Following Giraitis, Kapetanios, and Yates (2014b), this paper uses kernel methods to estimate a seven variable time-varying (TV) vector autoregressive (VAR) model on the data set constructed by Smets and Wouters (2007). We apply an indirect inference method to map from this TV VAR to time...

In this paper we propose to use the common trends of the Mexican economy in order to predict economic activity one and two steps ahead. We exploit the cointegration properties of the macroeconomic time series, such that, when the series are I(1) and cointegrated, there is a factor...

Structural vector autoregressive analysis aims to trace the contemporaneous linkages among (macroeconomic) variables back to underlying orthogonal structural shocks. In homoskedastic Gaussian models the identification of these linkages deserves external and typically notdata-based information....

Structural vector autoregressive analysis aims to trace the contemporaneous linkages among (macroeconomic) variables back to underlying orthogonal structural shocks. In homoskedastic Gaussian models the identification of these linkages deserves external and typically notdata-based information....