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Assessing The E-Goverment Development Performance of Southeast Asian Contries (Based on the 2003- 2016 UN E-Goverment Survey)
In the Information Age we live in, governments around the world are prov’ded with a variety of tools to aid their practices. Traditionally deemed as a bureaucratic practice, the incorporation of information and communications technologies (ICTs) allows governments to easily share public information. Egovernment allows citizens to claim an active role in the governing process. The practice of e-government is also seen to be more cost-efficient, as the government can reach its citizens in just a click. Naturally, e-government will continue to develop,adjacenttothe development oftechnology itself. In 2001, the United Nations (UN) started an exhaustive attempt to measure the global practice of...
Indonesia, Globalisasi, dan Global Village
Buku ini mendiskusikan fenomena yang jarang menjadi perhatian ilmuwan sosial-kemanusiaan Indonesia, walaupun kenyataannya ada di depan mata kita, yaitu globalisasi dan global village. Globalisasi merupakan fenomena yang melanda semua negara dan bangsa di seluruh dunia, di mana pun posisinya dalam peta bumi, tak terkecuali Indonesia. Ini merupakan implikasi dari kemajuan ilmu pengetahuan dan teknologi (iptek) yang bersifat kumulatif sepanjang masa. Capaian-capaian iptek memungkinkan gerak manusia menjadi lebih leluasa baik fisik maupun mentalnya. Gerak fisik bisa saja terbatas jangkauannya, tetapi interaksi manusia melalui capaian prestasi iptek hampir tak terbatas. Berkat kemajuan teknologi ...
Long-Run Growth Forecasting
This book explores how to set up an empirical model that helps with forecasting long-term economic growth. GDP forecasts for the years 2006 to 2020 for 40 countries are derived in a transparent way. Offering a systematic approach to models of potential GDP that can also be used for forecasts of more than a decade it fills the wide gap between the high demand for such models by banks, international organizations, and governments on the one hand and the limited supply on the other hand. Frequent forecast failures in the past (e.g. Japan 1990, Asia 1997) and the heavy economic losses they produced motivated the work. The book assesses the large number of theories of economic growth, the drivers of economic growth, the available datasets and the empirical methods on offer. A preference is shown for evolutionary models and an augmented Kaldor model. The book uses non-stationary panel techniques to find pair-wise cointegration among GDP per capita and its main correlates.
Introduction to Modern Time Series Analysis
This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series, bridging the gap between methods and realistic applications. It presents the most important approaches to the analysis of time series, which may be stationary or nonstationary. Modelling and forecasting univariate time series is the starting point. For multiple stationary time series, Granger causality tests and vector autogressive models are presented. As the modelling of nonstationary uni- or multivariate time series is most important for real applied work, unit root and cointegration analysis as well as vector error correction models are a central topic. Tools for analysing nonstationary data are then transferred to the panel framework. Modelling the (multivariate) volatility of financial time series with autogressive conditional heteroskedastic models is also treated.
