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Cover -- Contents -- I. Introduction -- II. Empirical Methodology and Data -- Modeling Inflation Dynamics -- Data -- Estimation Approach -- III. What drives inflation dynamics in ASEAN-5 countries? -- Key Findings -- The Role of Forward-Looking Dynamics -- Inflation Dynamics and Cyclical Fluctuations -- Inflation Dynamics, Non-oil-import and Oil Price Inflation -- IV. Country-specific evidence -- Indonesia -- Malaysia -- Philippines -- Singapore -- Thailand -- V. Robustness checks -- Different Measures of Macroeconomic Indicators -- Measures of the Output Gap -- Indicators of Inflation Expectations -- Import Price Measures -- Model Specifications -- Impact of Time-varying Parameters -- Coefficients of Non-Oil-Import Price and Oil Price Inflation -- Models including oil price inflation and exchange rate -- VI. Conclusions -- VI. References -- Figures -- Figure 1: Relative Median Contribution of Inflation Drivers in ASEAN-5 countries -- Figure 2: Long-term Inflation Expectations (Trend Inflation Estimates) -- Figure 3: Consensus Long-term Inflation Expectations -- Figure 4: ASEAN-5 CBs: Dincer-Eichengreen CB transparency index -- Figure 5: Correlation Between Forward-looking Dynamics and DE transparency: Coefficients -- Figure 6: Correlation Between Forward-looking Dynamics and DE transparency: contributions -- Figure 7: Median Contribution of Output Gap in ASEAN-5 countries -- Figure 8: Phillips curve Slope Estimates -- Figure 9: Median Contribution of Import Inflation in ASEAN-5 Countries -- Figure 10: Main Inflation Components: Indonesia -- Figure 11: Time-varying Coefficient Estimates: Indonesia -- Figure 12: Main Inflation Components: Malaysia -- Figure 13: Time-varying Coefficient Estimates: Malaysia -- Figure 14: Main Inflation Components: Philippines -- Figure 15: Time-varying Coefficient Estimates: Philippines.

Information and communication technologies have become widespread with the onset of globalization, affecting almost every facet of human life. Increasing internet usage has made accessing information swift and easy. The internet has also had a significant economic impact and provided financial benefits to nations all around the world to increase productivity and efficiency and reduce costs. Customers had been able to access products at lower prices as a result of the reduction in market entry barriers and search costs, which led to an increase in competition in the markets. The research aimed to investigate the effect of the internet on inflation in ASEAN-5 countries (Indonesia, Malaysia, Philippines, Singapore, and Thailand). Consumer prices (annual %) were used as an indicator of inflation, and individuals using the internet (% of population) were used as an indicator of internet usage. Control variables such as unemployment rate, real interest rate, energy use and money growth were also included in the research. Panel data analysis was performed using the data of ASEAN-5 countries covering the period of 1994-2014. Pooled least squares method (Pooled OLS) was applied to obtain an estimation of the model. As a result, it is found that as internet usage increases, inflation rates decrease in ASEAN-5 countries.

Abstract
The paper analyzes the convergence of inflation rates in the group of more developed members of the Eurozone (core countries). What are the characteristics and is the inflation process in these countries sufficiently homogeneous? Are the analysed inflation rates converging, so that there is an indication that these countries tend to form the optimal currency area. We used a unit root test to check the stationarity of a series of average inflationary differentials. They are calculated as the difference between inflation rate in a given country and the inflation rate in EMU. If the convergence process took place, the inflationary differentials will decrease and tend to zero. The variance of differentials will also decrease, so the series of average inflationary differentials will be stationary. The analysis showed that there is a unit root in the series, thus it is not stationary, and we cannot conclude that the process of convergence of inflation rates in the core countries happened. The paper also analyzes the autocorrelation functions of inflation rates, to determine the persistence of inflation, i.e. how long it takes for the shock that caused the inflation growth of 1%, to die off. The values of the first autocorrelation coefficients are high, while the next ones fall slowly, so it takes a long time for the impact of the inflation shock to disappear. In addition, the correlograms of inflation rates are quite heterogeneous, which indicates that inflationary processes differ.

Corruption is a global problem that is always a debate in all countries. Corruption has existed for a long time and it is a problem that exists in developing and developed countries. Many sectors are harmed by the attitude and behavior of corruption, and this greatly affects the economic growth of a country and can reduce the economic growth of a country. The purpose of this study is to see and analyze the impact of corruption in ASEAN countries in 2016-2021 by using panel data to conduct the FEM test. The objects of research are Thailand, Indonesia, Cambodia and the Philippines. This study shows that economic growth in several ASEAN countries is influenced by the corruption perception index and has a positive effect on economic growth. In addition, government spending and consumption have a positive effect on economic growth, while free trade has a negative effect on economic growth.