Estimating the Effects of Tax changes Two Leading Methods for - - PowerPoint PPT Presentation

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Estimating the Effects of Tax changes Two Leading Methods for - - PowerPoint PPT Presentation

Estimating the Effects of Tax changes Two Leading Methods for Identifying Tax Shocks Two Leading Methods for Identifying Tax Shocks Blanchard and Perotti (2002):


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Estimating the Effects of Tax changes

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Two Leading Methods for Identifying Tax Shocks Two Leading Methods for Identifying Tax Shocks

  • Blanchard and Perotti (2002):

η 𝑐η 𝑐η 𝜁 η 𝑐η 𝑐η 𝜁 η 𝑐η 𝑐η 𝜁

Recall that they also set 𝑐= 𝑐 = 0

They set (1) 𝑐= 𝑐 = 0 to identify the government spending shock; and (2) they use outside information to set 𝑐=2.08.to identify the tax shock.

  • Romer‐Romer (2010) narrative method:

Identify legislated tax changes motivated by reducing inherited deficits or by promoting long‐run growth as exogenous to current state of the economy.

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Mertens‐Ravn’s Contributions Mertens‐Ravn’s Contributions

  • Split the Romer shocks into anticipated vs. unanticipated

Deals directly with issue of fiscal foresight.

  • Reconciles Blanchard‐Perotti and Romer Methods

Develop proxy SVARs to do so.

  • Distinguish between changes in personal income taxes

and corporate income taxes

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  • 5

5 10 5 10 15 20 Tax Revenue

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  • 2.5

2.5 5 10 15 20 Output

Effect of Unanticipated Romer Tax Shock, Trivariate VAR, 1950q1 – 2006q4 Mertens‐Ravn Proxy SVAR (90% confidence intervals) They confirm Romer‐Romer’s large negative multipliers: around ‐2.5 to ‐3.0. BP had preset the elasticity of tax to GDP at 2.08. MR estimate it to 3.13. This makes a big difference for the estimation multiplier.

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Econometric problems caused by fiscal foresight.

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Tax news Tax news

  • Do agents really have foresight?

http://lorenzkueng.droppages.com/

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Tax news Tax news

  • One of the best ways to deal with foresight is to try to

measure the news and incorporate it.

  • Three main methods:
  • Romer‐Romer tax shocks with more than 90 days

between legislation and implementation (Mertens‐ Ravn)

  • Spreads between federal and municipal bonds

Leeper, Richter, Walker (2011), Kueng (2016)

  • DSGE models (Schmidt‐Grohe and Uribe (2012),

Miyamoto‐Nguyen (2015) do this for other types of news)

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Mertens‐Ravn AEJ: Econ Policy. (Left is unanticipated tax decrease, right is anticipated tax decrease implemented at quarter 0.)

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5 10 15 20 Output

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5 10 15 20 Durable Consumption

Effect of Anticipated Romer Tax Increase, Mertens‐Ravn (2011) Estimates 1950q1 – 2006q4 (90% confidence intervals)

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Effect of News of Future Tax Increase, Leeper, Richter, Walker (2011) Measure Jorda local projection

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10 5 10 15 20 Output

  • 30 -20 -10 0

10 20 5 10 15 20 Hours

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5 5 10 15 20

  • Nondur. + Services Consumption
  • 40 -20

20 40 5 10 15 20 Durable Consumption

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20 40 60 5 10 15 20 Nonresidential Investment

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50 5 10 15 20 Residential Investment

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Summary of Tax Results Summary of Tax Results

  • Results using Romer‐Romer tax shocks are fairly robust.

There are potential issues with instrument relevance, though.

  • Fiscal foresight for taxes is theoretically and empirically

important.

  • Strong, robust effects of anticipated tax changes.