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Tujuan utama penulisan buku ini adalah untuk menganalisis hubungan dua variabel ekonomi makro, pertumbuhan ekonomi dan perpajakan. Buku ini menyelidiki hubungan antara pertumbuhan ekonomi dan perpajakan di Indonesia, menggali dampak perpajakan terhadap perkembangan ekonomi negara. Dengan analisis mendalam, penulis membahas peran perpajakan dalam membentuk kebijakan fiskal yang mendukung pertumbuhan ekonomi yang optimal. Selain itu, buku ini juga mengeksplorasi strategi perpajakan yang dapat diterapkan untuk mencapai keseimbangan yang tepat antara penerimaan pajak dan pertumbuhan ekonomi. Dengan pendekatan interdisipliner, buku ini menjadi panduan penting bagi para pembaca yang tertarik memahami dinamika kompleks antara pertumbuhan ekonomi dan sistem perpajakan di Indonesia.
Buku "Pengantar Ekonomi Makro" ini menawarkan pemahaman yang komprehensif mengenai konsep dasar ekonomi makro yang esensial untuk mahasiswa, praktisi, dan siapa saja yang tertarik dengan studi ekonomi. Buku ini menonjol karena pendekatannya yang sistematis dan jelas dalam menjelaskan hubungan antara ekonomi mikro dan makro serta konsep-konsep kunci lainnya. Buku ini memaparkan mengenai dasar-dasar ekonomi, sehingga pembaca memahami bagaimana berbagai elemen ekonomi, seperti konsumsi, investasi, dan pendapatan nasional, saling berinteraksi dan mempengaruhi perekonomian secara keseluruhan. Salah satu keunggulan utama dari buku ini adalah struktur pembahasannya yang mendalam dan terorganisir de...
Economic Theory, Econometrics, and Mathematical Economics, Second Edition: Forecasting Economic Time Series presents the developments in time series analysis and forecasting theory and practice. This book discusses the application of time series procedures in mainstream economic theory and econometric model building. Organized into 10 chapters, this edition begins with an overview of the problem of dealing with time series possessing a deterministic seasonal component. This text then provides a description of time series in terms of models known as the time-domain approach. Other chapters consider an alternative approach, known as spectral or frequency-domain analysis, that often provides useful insights into the properties of a series. This book discusses as well a unified approach to the fitting of linear models to a given time series. The final chapter deals with the main advantage of having a Gaussian series wherein the optimal single series, least-squares forecast will be a linear forecast. This book is a valuable resource for economists.
This volume in the Challenges in Machine Learning series gathers papers from the Mini Symposium on Causality in Time Series, which was part of the Neural Information Processing Systems (NIPS) confernce in 2009 in Vancouver, Canada. These papers present state-of-the-art research in time-series causality to the machine learning community, unifying methodological interests in the various communities that require such inference.
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Research on Singapore's economic history has been complicated by the absence of economic data on pre-independence Singapore. This book sheds light on two key aspects of Singapore's economic history, namely the relationship between economic instability and growth, as well as the government's fiscal policy towards economic growth.
A Foreign Affairs Best Book of the Year “An intellectual excursion of a kind rarely offered by modern economics.” —Foreign Affairs Thomas Piketty’s Capital in the Twenty-First Century is the most widely discussed work of economics in recent years. But are its analyses of inequality and economic growth on target? Where should researchers go from there in exploring the ideas Piketty pushed to the forefront of global conversation? A cast of leading economists and other social scientists—including Emmanuel Saez, Branko Milanovic, Laura Tyson, and Michael Spence—tackle these questions in dialogue with Piketty. “A fantastic introduction to Piketty’s main argument in Capital, and to some of the main criticisms, including doubt that his key equation...showing that returns on capital grow faster than the economy—will hold true in the long run.” —Nature “Piketty’s work...laid bare just how ill-equipped our existing frameworks are for understanding, predicting, and changing inequality. This extraordinary collection shows that our most nimble social scientists are responding to the challenge.” —Justin Wolfers, University of Michigan