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Unleashing Society’s Innovative Capacity
This is an open access book. Europe faces significant challenges in the coming decades: geopolitical, demographic, technological, increased competition, climate-related, and health issues due to an aging population, to mention a few. Given these challenges, technological progress and new ways of handling complex issues will be key to continued prosperity and growth. To accomplish a growth process driven by innovation and entrepreneurship, the institutional environment must take into account a multitude of different policy areas that interact to either strengthen or weaken an economy's innovative potential. Innovation is not only about R&D and higher education but is also intimately related t...
Tax and Government in the 21st Century
With an accessible style and clear structure, Miranda Stewart explains how taxation finances government in the twenty-first century, exploring tax law in its historical, economic, and social context. Today, democratic tax states face an array of challenges, including the changing nature of work, the digitalisation and globalisation of the economy, and rebuilding after the fiscal crisis of the COVID-19 pandemic. Stewart demonstrates the centrality of taxation for government budgets and explains key tax principles of equity, efficiency and administration. Presenting examples from a wide range of jurisdictions and international developments, Stewart shows how tax policy and law operate in our everyday lives, ranging from family and working life to taxing multinational enterprises in the global digital economy. Employing an interdisciplinary approach to the history and future of taxation law and policy, this is a valuable resource for legal scholars, practitioners and policy makers.
VAT Notches, Voluntary Registration, and Bunching: Theory and UK Evidence
Using administrative tax records for UK businesses, we document both bunching in annual turnover below the VAT registration threshold and persistent voluntary registration by almost half of the firms below the threshold. We develop a conceptual framework that can simultaneously explain these two apparently conflicting facts. The framework also predicts that higher intermediate input shares, lower product-market competition and a lower share of business to consumer (B2C) sales lead to voluntary registration. The predictions are exactly the opposite for bunching. We test the theory using linked VAT and corporation tax records from 2004-2014, finding empirical support for these predictions.
Taxable Income Elasticity and the Anatomy of Behavioral Response
This paper uses extensive Finnish panel data from 1995-2007 to analyze the elasticity of taxable income (ETI). I use individual changes in flat municipal income tax rates as an instrument for the overall changes in marginal tax rates. This instrument is not a function of individual income, which is the basis for an exogenous instrument in the taxable income model. In general, instruments used in previous studies do not have this feature. Furthermore, I estimate behavioral responses using smaller subcomponents of taxable income, such as working hours, fringe benefits and tax deductions. This “anatomy” of overall ETI has rarely been studied in the literature. The results show that the average ETI estimate in Finland is 0.35-0.60, depending on the empirical specification and the degree of regional controlling. Subcomponent analysis suggests that neither work effort nor labor supply respond actively to tax changes. In contrast, it seems that fringe benefits and deductions from taxable income might have a larger effect.
Elasticity of Taxable Income
The elasticity of taxable income (ETI) is a key parameter in income tax analysis, in terms of both efficiency and tax revenue. In this paper, I use Finnish data to analyze the ETI. I use changes in flat municipal income tax rates as an instrument for overall changes in marginal tax rates. This instrument is not a function of individual income, and thus the ETI estimates are less susceptible to bias caused by differential trends across the income distribution. In general, instruments used in previous studies do not have this feature. My preferred estimate for the average ETI is 0.21.
