Phases 1 and 2 of Covid-19 Epidemic in the Three Geographical Areas of Italy: An Estimation of Italian Government Measures Based on a Bayesian Changepoint Detection Method

2020 ◽  
Author(s):  
Maria Laura Manca ◽  
Francesco Russo ◽  
Vladimir Georgiev ◽  
Stefano Taddei
Keyword(s):  
Time Series Data ◽  
Detection Method ◽  
Negative Impact ◽  
Phase 1 ◽  
Series Data ◽  
Phase 2 ◽  
Slowing Down ◽  
Changepoint Detection ◽  
The Government ◽  
The Impact

Background: Based on data from the Ministry of Health, which highlighted the earlier onset of Covid-19 epidemic in Italy, compared with the Europe, we would like to present a statistical elaboration on the impact of measures taken by the Government, during the phase 1 and the start of phase 2. Methods: After the implementation of a Bayesian changepoint detection method, we looked for a best fit model, based on the first part of time series data, in order to observe the progress of the data in the presence and absence of the restriction measures introduced. Results: Both the implementation of changepoint detection method and the analysis of the curves showed that the decree that marked the start of lockdown has had the effect of slowing down the epidemic by allowing thestart of a plateau between 21 and 25 March. Moreover, the decree that decided the beginning of phase 2 on 4 May did not have a negative impact. Conclusion: This statistical analysis supports the hypothesis that stringent measures decreased hospitalization, thanks to a slowing down in the evolution of the epidemic compared with what was expected.  

scholarly journals The Impact of Political Scandals on Trust in State Institutions: Lithuanian Case Analysis

Politologija ◽  
2020 ◽  
Vol 98 (2) ◽  
pp. 8-45
Author(s):  
Inga Patkauskaitė-Tiuchtienė
Keyword(s):  
Time Series Data ◽  
Negative Impact ◽  
Public Trust ◽  
Series Data ◽  
Special Investigation ◽  
Substantial Impact ◽  
State Institutions ◽  
The Government ◽  
Political Scandals ◽  
The Impact

This article raises the question of whether the political scandals that take place in Lithuania have an effect on public trust in Lithuania’s state institutions and, if so, what kind of an effect can be perceived. The following institutions of the Republic of Lithuania were selected for analysis: the Government, the Parliament, the Institution of the President, the Special Investigation Service, and the State Security Department. The analysis covers the 2004–2016 years (inclusive) period. The links between political scandals and trust in state institutions are analyzed based on an institutional approach to changes in governmental trust, as well as a non-functional approach to political scandals and the results of empirical studies analyzing political scandals and their relation to governmental trust. In order to determine links between political scandals and trust in state institutions, a dynamic linear regression with time series data was performed. The analysis suggests that political scandals that took place in Lithuania during the period of 2004–2016 had a substantial impact on changes in public trust in state institutions. In the case of all institutions, a negative short-term impact of political scandals on trust in these institutions has been identified. The results of the analysis also reveal that the extent of the negative impact of political scandals may depend on the level of intensity of the escalation of political scandals in the media and the type of political scandal.

scholarly journals ECONOMIC GROWTH AND EMPLOYMENT IN AGRICULTURAL SECTOR ON POVERTY IN ACEH PROVINCE

TRIKONOMIKA ◽  
2019 ◽  
Vol 18 (1) ◽  
pp. 1
Author(s):  
Reovasimulo Anakusara ◽  
Abd Jamal ◽  
Chenny Seftarita ◽  
Indra Maipita
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Negative Impact ◽  
Value Added ◽  
Poverty Rate ◽  
Series Data ◽  
Aceh Province ◽  
The Government ◽  
The Impact

This empirical study aims to analyze the impact of economic growth and employment in the agricultural sector on poverty in Aceh Province. The study is conducted on annual time series data for the period of 1995-2017 while to explain the research objectives used Autoregressive Distributed Lag (ARDL) model and Granger Causality. The results found, in the short term, only employment in the agricultural sector has a significant effect on poverty. Meanwhile, in the long term, economic growth has a profound and negative impact on poverty. On the contrary, the absorption of labor in the agricultural sector tends to increase poverty. In addition, the results obtained that economic growth has a unidirectional relationship with employment in the agricultural sector. It was, therefore, suggested that the government should prioritize economic development in regions that have relatively high poverty rate and build an agro-industry in Aceh to increase agricultural value added and also absorb more labor so it can enable to reduce the poverty rate.

Transport infrastructure of the Rostov Oblast: Problems and prospects for development in the context of national projects implementation

2020 ◽  
Vol 19 (6) ◽  
pp. 1015-1034
Author(s):  
O.Yu. Patrakeeva
Keyword(s):  
Time Series Data ◽  
Mutual Influence ◽  
Rostov Oblast ◽  
Transport Infrastructure ◽  
Series Data ◽  
Cointegration Tests ◽  
Level Of Economic Development ◽  
Short Run ◽  
The Government ◽  
The Impact

Subject. The paper considers national projects in the field of transport infrastructure, i.e. Safe and High-quality Roads and Comprehensive Plan for Modernization and Expansion of Trunk Infrastructure, and the specifics of their implementation in the Rostov Oblast. Objectives. The aim is to conduct a statistical assessment of the impact of transport infrastructure on the region’s economic performance and define prospects for and risks of the implementation of national infrastructure projects in conditions of a shrinking economy. Methods. I use available statistics and apply methods and approaches with time-series data, namely stationarity and cointegration tests, vector autoregression models. Results. The level of economic development has an impact on transport infrastructure in the short run. However, the mutual influence has not been statistically confirmed. The paper revealed that investments in the sphere of transport reduce risk of accidents on the roads of the Rostov Oblast. Improving the quality of roads with high traffic flow by reducing investments in the maintenance of subsidiary roads enables to decrease accident rate on the whole. Conclusions. In conditions of economy shrinking caused by the complex epidemiological situation and measures aimed at minimizing the spread of coronavirus, it is crucial to create a solid foundation for further economic recovery. At the government level, it is decided to continue implementing national projects as significant tools for recovery growth.

scholarly journals IMPACT OF FOREIGN DIRECT INVESTMENT ON EXPORT SECTOR IN NIGERIA (1981-2018)

2020 ◽  
pp. 19-24
Author(s):  
Edeh, Chukwudi Emmanuel ◽  
Obi, Cyril Ogugua ◽  
Mbaeri, Clara Ndidiamaka ◽  
Ebite Ogochukwu Njideka
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Linear Equations ◽  
Series Data ◽  
Cent Increase ◽  
Oil Export ◽  
Oil Sector ◽  
The Government ◽  
The Impact

The objective of the study is to examine the impact of FDI on exports in Nigeria for the period 1981-2018. Specifically, two linear equations were formulated to trace the impact of FDI on oil sector and non-oil sector. The explanatory variables in the study were exchange rate, GDP, degree of openness, FDI, and inflation. The ADF technique was used to test for the stationarity of the time series data. The results of the Error Correction models reveal that there is a positive and significant (P(FDI) = 0.000) relationship between FDI and oil export in Nigeria. One per cent increase in FDI leads to 0.47 per cent increase in oil export over the period under study. There is a positive and significant (P(FDI) = 0.005) relationship between FDI and non-oil export in Nigeria. One per cent increase in FDI leads to 0.31 per cent increase in non-oil export over the period under study. The impact of FDI on the oil export is higher than the non-oil sector by 0.16 per cent. The study recommends for more aggressive policies to attract FDI in the oil sector to be pursued by the government. Obstacles to doing business in Nigeria should be removed. KEYWORDS: Foreign direct investment, oil export, non-oil export

scholarly journals The Effect of IJ-EPA to Indonesia Export: Interupted Time Series (ITS) Approach

2020 ◽  
Vol 2 (1) ◽  
pp. 128-145
Author(s):  
Yuafanda Kholfi Hartono ◽  
Sumarto Eka Putra
Keyword(s):  
Time Series ◽  
Free Trade ◽  
Free Trade Agreement ◽  
Time Series Data ◽  
Current Account Deficit ◽  
Trade Agreement ◽  
Export Market ◽  
Series Data ◽  
The Government ◽  
The Impact

Indonesia Japan Economic Partnership Agreement (IJ-EPA) is a bilateral free-trade agreement between Indonesia and Japan that has been started from July 1st, 2008. After more than a decade of its implementation, there is a question that we need to be addressed: Does liberalization of IJ-EPA make Indonesia’s export to Japan increase? This question is important since the government gives a trade-off by giving lower tariff for certain commodities agreed in agreement to increase export. Using Interrupted time series (ITS) analysis based on time-series data from Statistics Indonesia (BPS), this article found that the impact of IJ-EPA decreased for Indonesia export to Japan. Furthermore, this paper proposed some potential commodities that can increase the effectiveness of this FTA. The importance of this topic is that Indonesia will maximize the benefit in implementing of agreement that they made from the third biggest destination export of their total export value, so it will be in line with the government's goal to expand export market to solve current account deficit. In addition, the method that used in this paper can be implemented to other countries so that they can maximize the effect of Free Trade Agreement, especially for their export.

scholarly journals THE IMPACT OF EXCHANGE RATE VOLATILITY ON ECONOMIC GROWTH IN NIGERIA: A DYNAMIC ECONOMETRIC APPROACH

2021 ◽  
pp. 16-40
Author(s):  
Comfort Akinwolere Bukola ◽  
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Time Series Data ◽  
Negative Impact ◽  
Positive Impact ◽  
Exchange Rate Volatility ◽  
Series Data ◽  
Balance Of Trade ◽  
Econometric Approach ◽  
The Impact

This study examined the impact of exchange rate volatility on economic growth in Nigeria. The study covers the period of 1986 to 2019. Using time series data, the methodology adopted is the Vector Error Correction Mechanism to explore the impact of exchange rate volatility on the selected macroeconomic variables. The result indicated that exchange rate volatility has a significant impact on economic growth, specifically it has a positive impact on inflation, unemployment and balance of trade. On the other hand it has a negative impact on economic growth and investment. The recommendations made include; that relevant authorities should try to avoid systematic currency devaluations in order to maintain exchange rate volatility at a rate that allows adjustment of the balance of payments.

Human Capital Impact on Economic Growth in Nigeria

2021 ◽  
Vol 7 (18) ◽  
pp. 15-22
Author(s):  
Chuwuemeka Ogugua AGBO ◽  
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Time Series Data ◽  
Capital Expenditure ◽  
Private Investment ◽  
Series Data ◽  
Tertiary Institutions ◽  
Explanatory Variables ◽  
The Government ◽  
The Impact

This study aims to examine the impact of human capital on economic growth in Nigeria. Despite all effort to improve education condition in Nigeria, there hasn’t been much encouraging improvement. This has caused a large number of the population to move abroad for studies. Most conducive tertiary institutions are owned by private individuals, the government owned universities have been overlooked and recklessly abandoned. In this study OLS multiple regression was adopted to analyze the time series data for the period of 1985-2018 to test if Average Year of Schooling (AVYS), Private Investment in Telecommunication (PIT), Capital Expenditure on Education (CEE), and Recurrent Expenditure on Education (REE) have an impact on growth in Nigeria or not. The data was derived from CBN statistical Bulletin (2018). Result showed that all the four explanatory variables have significant impact on Economic growth. However, it is therefore important for government to increase education budget annually.

Impact of Fiscal Policy on Agricultural Output in Nigeria

2019 ◽  
Vol 9 (7) ◽  
pp. 1428 ◽  
Author(s):  
Adedoyin Isola LAWAL ◽  
Ernest Onyebuchi FIDELIS ◽  
Abiola Ayoopo BABAJIDE ◽  
Barnabas O. OBASAJU ◽  
Oluwatoyese OYETADE ◽  
...  
Keyword(s):  
Fiscal Policy ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Negative Impact ◽  
Capital Expenditure ◽  
Research Work ◽  
Estimation Method ◽  
Series Data ◽  
Agricultural Output ◽  
The Impact

This study examines the impact of fiscal policy on agricultural output in Nigeria using the most recent official data. The metrics for fiscal policy is government capital expenditure and custom duties on fertilizer. The study used annual time series data obtained from CBN annual statistical bulletin, NCS, and FIRS which was found to be stationary at the order of I(1) and I(0). The order of unit root test led to the use of ARDL estimation method employed in the empirical analysis of this research work. The study found evidence of both short and long run relationship between the variables (VAO, GEX, IDMF, and ACGSF) using both Johansen co-integration and ARDL Bounds test. Although government expenditure (GEX) to agricultural sector was found to be statistically insignificant which recommend that government should increase agriculture capital expenditure to ensure that its contribution is significant. Consequently, custom duties on fertilizer (IDMF) was found to be negatively signed and significant indicating a negative impact on agricultural output. This demands that the policy makers should be prudent in the use of fiscal policy instrument in achieving its desired objective.

Terrorism and Stock Market Linkages: An Empirical Study from a Front-line State

2017 ◽  
Vol 18 (2) ◽  
pp. 365-378 ◽  
Author(s):  
Imtiaz Arif ◽  
Tahir Suleman
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Negative Impact ◽  
Stock Exchange ◽  
Series Data ◽  
Front Line ◽  
Long Run ◽  
Factor Index ◽  
The Impact

This article investigates the impact of prolonged terrorist activities on stock prices of different sectors listed in the Karachi Stock Exchange (KSE) by using the newly developed terrorism impact factor index with lingering effect (TIFL) and monthly time series data from 2002 (January) to 2011 (December). Johansen and Juselius (JJ) cointegration revealed a long-run relationship between terrorism and stock price. Normalized cointegration vectors are used to test the effect of terrorism on stock price. Results demonstrate a significantly mixed positive and negative impact of prolonged terrorism on stock prices of different sectors and show that the market has not become insensitive to the prolonged terrorist attacks.

scholarly journals The Impact of Remittances on Domestic Investment in Developing Countries: Fresh Evidence From the Asia-pacific Region

2018 ◽  
Vol 9 (2) ◽  
pp. 193-211 ◽  
Author(s):  
Le Thanh Tung
Keyword(s):  
Developing Countries ◽  
Time Series Data ◽  
Negative Impact ◽  
Positive Impact ◽  
Asia Pacific ◽  
Series Data ◽  
Pacific Region ◽  
Domestic Investment ◽  
Asia Pacific Region ◽  
The Impact

Despite the sharply increasing remittances in developing countries (especially in the AsiaPacific region), the relationship between remittances and domestic investment in recipient countries has not been fluently evidenced. This paper aims to fill the empirical gap in the Asia-Pacific region by investigating the impact of remittances on domestic investment with a sample including nineteen developing countries based on time series data from 1980 to 2015. However, our findings contradict some evidence from other regions. The results robustly confirm that remittances have a negative impact on domestic investment in these countries. Our results also indicate that the annual GDP per capita growth, official development assistance, domestic credit, gross saving, and inflation have a positive impact on domestic investment, however, we conclude that the impact of trade openness on domestic investment has a negative sign in the study period. The paper also provides some policy suggestions with regard to remittance flows in this region.

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