رکورد قبلیرکورد بعدی

" Empirical Approaches to Fiscal Policy Modelling "


Document Type : BL
Record Number : 774868
Doc. No : b594863
Main Entry : edited by Alberto Heimler, Daniele Meulders.
Title & Author : Empirical Approaches to Fiscal Policy Modelling\ edited by Alberto Heimler, Daniele Meulders.
Publication Statement : Dordrecht : Springer Netherlands, 1993
Series Statement : International studies in economic modelling.
Page. NO : (xii, 297 pages)
ISBN : 9401115389
: : 9789401115384
Contents : By Alberto Heimler and Danièle Meulders --; One Taxation, Economic Growth and Welfare --; 1 The excess burden of taxation in the US --; 2 An intertemporal general-equilibrium model of taxation in Italy --; 3 Crowding out in a two-country overlapping-generations model --; 4 Cost of capital, investment location and marginal effective tax rate: methodology and application --; Two Taxation and Individual Behaviour --; 5 Household saving, portfolio selection and taxation in France --; 6 Incomes and transitions within the labour force in Holland --; 7 Labour supply decisions and non-convex budget sets: the case of national insurance contributions in UK --; 8 Income taxation and the supply of labour in West Germany --; Three Fiscal Reform in Four EEC Countries --; 9 Tax rates, progressivity and de facto fiscal indexation in ten European countries --; 10 Tax policy at the bifurcation between equity and efficiency: lessons from the West German income tax reform --; 11 Exploring the distribution and incentive effects of tax harmonization --; 12 The European internal market and the welfare of Italian consumers --; 13 Tax reform within the EC internal market: empirical analysis with two macroeconomic modelling approaches.
Abstract : This book contains a spectrum of empirical models of fiscal policy from acknowledged experts from a wide range of different developed countries. There is a stress on the importance of tax policy on corporate and consumer behaviour.
Subject : Economics.
Added Entry : Alberto Heimler
: Daniele Meulders
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