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This paper uses the IMF's Global Integrated Monetary and Fiscal Model to compute shortrun multipliers of fiscal stimulus measures and long-run crowding-out effects of higher debt. Multipliers of two-year stimulus range from 0.2 to 2.2 depending on the fiscal instrument, the extent of monetary accommodation and the presence of a financial accelerator mechanism. A permanent 0.5 percentage point increase in the U.S. deficit to GDP ratio raises the U.S. tax burden and world real interest rates in the long run, thereby reducing U.S. and rest of the world output by 0.3-0.6 and 0.2 percent, respectively.
The paper assesses, using seven structural models used heavily by policymaking institutions, the effectiveness of temporary fiscal stimulus. Models can, more easily than empirical studies, account for differences between fiscal instruments, for differences between structural characteristics of the economy, and for monetary-fiscal policy interactions. Findings are: (i) There is substantial agreement across models on the sizes of fiscal multipliers. (ii) The sizes of spending and targeted transfers multipliers are large. (iii) Fiscal policy is most effective if it has some persistence and if monetary policy accommodates it. (iv) The perception of permanent fiscal stimulus leads to significantly lower initial multipliers.
This book scientifically tests the assertion that accommodative monetary policy can eliminate the “crowd out” problem, allowing fiscal stimulus programs (such as tax cuts or increased government spending) to stimulate the economy as intended. It also tests to see if natural growth in th economy can cure the crowd out problem as well or better. The book is intended to be the largest scale scientific test ever performed on this topic. It includes about 800 separate statistical tests on the U.S. economy testing different parts or all of the period 1960 – 2010. These tests focus on whether accommodative monetary policy, which increases the pool of loanable resources, can offset the crowd out problem as well as natural growth in the economy. The book, employing the best scientific methods available to economists for this type of problem, concludes accommodate monetary policy could have, but until the quantitative easing program, Federal Reserve efforts to accommodate fiscal stimulus programs were not large enough to offset more than 23% to 44% of any one year’s crowd out problem. That provides the science part of the answer as to why accommodative monetary policy didn’t accommodate: too little of it was tried. The book also tests whether other increases in loanable funds, occurring because of natural growth in the economy or changes in the savings rate can also offset crowd out. It concludes they can, and that these changes tend to be several times as effective as accommodative monetary policy. This book’s companion volume Why Fiscal Stimulus Programs Fail explores the policy implications of these results.
The Effects of Fiscal Measures During COVID-19
Using financial statement data from the Thomson Reuter’s Worldscope database for 22,333 non-financial firms in 52 advanced and emerging economies, this paper examines how fiscal stimulus (i.e., changes in structural deficit) interacted with sectoral business cycle sensitivity affected corporate profitability during the recovery period of the global financial crisis (GFC). Using cross-sectional analyses, our findings indicate that corporate profitability improved significantly after the GFC fiscal stimulus, especially in manufacturing, utilities and retail sectors. Firm size and leverage are also found to be significant in explaining changes in corporate profitability.
This book offers a series of statistical tests to determine if the “crowd out” problem, known to hinder the effectiveness of Keynesian economic stimulus programs, can be overcome by monetary programs. It concludes there are programs that can do this, specifically “accommodative monetary policy.” They were not used to any great extent prior to the Quantitative Easing program in 2008, causing the failure of many fiscal stimulus programs through no fault of their own. The book includes exhaustive statistical tests to prove this point. There is also a policy analysis section of the book. It examines how effectively the Federal Reserve’s anti-crowd out programs have actually worked, to the extent they were undertaken at all. It finds statistical evidence that using commercial and savings banks instead of investment banks when implementing accommodating monetary policy would have markedly improved their effectiveness. This volume, with its companion volume Why Fiscal Stimulus Programs Fail, Volume 2: Statistical Tests Comparing Monetary Policy to Growth, provides 1000 separate statistical tests on the US economy to prove these assertions.
The past several years of recession and slow recovery have raised much interest on the effect of fiscal stimulus on economic activity, even as high public debts in many countries would call for fiscal consolidation. To evaluate the delicate balance between stimulus and consolidation requires measuring the size of fiscal multipliers, which often depends on having quarterly data so that exogenous fiscal policy shocks can be identified. We estimate fiscal multipliers using a novel methodology for identifying fiscal shocks within a structural vector autoregressive approach using annual data while controling for debt feedback effects. The estimation focuses on regions with scarce quarterly data (mostly low-income countries), and uses results for advanced economies, emerging market countries, and other broad groupings for which alternative estimates are available to validate the methodology. Differently from advanced and emerging market economies, fiscal consolidation in low-income countries has only a small temporary negative effect on growth while raising medium-term output. Shifting the composition of public spending toward capital expenditure further supports long-run growth.