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Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard and NBER Soren Leth-Petersen, Univ. of Copenhagen and SFI Torben Nielsen, Univ. of Copenhagen and SFI Tore Olsen, Univ. of Copenhagen and CAM November 2013

Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

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Page 1: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark

Raj Chetty, Harvard and NBERJohn N. Friedman, Harvard and NBER

Soren Leth-Petersen, Univ. of Copenhagen and SFITorben Nielsen, Univ. of Copenhagen and SFI

Tore Olsen, Univ. of Copenhagen and CAM

November 2013

Page 2: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Question

Do retirement savings policies – e.g., tax subsidies or employer-provided pensions – raise total wealth accumulation?

Or simply induce shifting across accounts?

Central questions for understanding optimal design of retirement policies

Existing evidence mixed [Hubbard 1984, Skinner and Feenberg 1990, Poterba, Venti, Wise 1996, Engen, Gale, Scholz 1996, Engelhardt and Kumar 2007, Gelber 2010]

Largely due to limitations in data and research designs [Bernheim 2002]

Page 3: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Overview

We estimate crowd-out in retirement savings accounts using Danish tax data

41 million observations on savings from administrative sources

We analyze two types of policies

Automatic contributions by government or firms to workers’ retirement savings accounts

Price subsidies for retirement savings

Main finding: Automatic contributions raise total savings much more than price subsidies

Interpret this result through a model of active and passive choice

Page 4: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Consumers can use their income () for 3 purposes:

Consumption ()Non-Pension Savings ()Pension Savings ()

Government has two policies:

Automatic pension contributions ()Subsidy for pension contributions ()

Budget constraint (ignoring corners):

Conceptual Framework

Page 5: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impacts of Government Policies on Savingfor Active vs. Passive Savers

Automatic Contribution

Raises Pension

Contribs. ?

Raises Total Saving ?

Active Savers No No

Passive Savers

Yes Uncertain

Page 6: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impacts of Government Policies on Savingfor Active vs. Passive Savers

Automatic Contribution

Raises Pension

Contribs.?

Raises Total Saving

?

Active Savers No No

Passive Savers

Yes Uncertain

Prior work (e.g., Madrian and Shea 2001, Choi et al. 2004) suggests that automatic contribs. raise total pension contributions

Page 7: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impacts of Government Policies on Savingfor Active vs. Passive Savers

But impact of auto. contrib. on total saving unclear for passive agents

Automatic Contribution

Raises Pension

Contribs.?

Raises Total Saving

?

Active Savers No No

Passive Savers

Yes Uncertain

Page 8: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impacts of Automatic Contributions on Savings

Effect of automatic contribution on total savings depends on how passive agents adjust to reduction in disposable income

Two extreme cases span potential responses

1. Absorb reduction in income by running down bank balance

Fixed consumption plan smaller end-of-year bank balance

$1 automatic contribution leads to no change in total savings

2. Absorb reduction in income by reducing consumption

Fixed savings target cut consumption to meet savings goal

$1 automatic contribution leads to $1 increase in total savings

Page 9: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impacts of Government Policies on Savingfor Active vs. Passive Savers

Automatic Contribution Price Subsidy

Raises Pension

Contribs.?

Raises Total Saving

?

Raises Pension

Contribs.?

Raises Total Saving

?

Active Savers No No Yes Uncertain

Passive Savers

Yes Uncertain No No

Page 10: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impacts of Government Policies on Savingfor Active vs. Passive Savers

Automatic Contribution Price Subsidy

Raises Pension

Contribs.?

Raises Total Saving

?

Raises Pension

Contribs.?

Raises Total Saving

?

Active Savers No No Yes Uncertain

Passive Savers

Yes Uncertain No No

Prior work on match rates (e.g. Duflo et al. 2006, Engelhardt and Kumar 2007) suggests that subsidies increase pension saving

Page 11: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impacts of Government Policies on Savingfor Active vs. Passive Savers

Automatic Contribution Price Subsidy

Raises Pension

Contribs.?

Raises Total Saving

?

Raises Pension

Contribs.?

Raises Total Saving

?

Active Savers No No Yes Uncertain

Passive Savers

Yes Uncertain No No

But impact of price subsidy on total saving again unclear

Page 12: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impacts of Government Policies on Savingfor Active vs. Passive Savers

Automatic Contribution Price Subsidy

Raises Pension

Contribs.?

Raises Total Saving

?

Raises Pension

Contribs.?

Raises Total Saving

?

Active Savers No No Yes Uncertain

Passive Savers

Yes Uncertain No No

These two policies affect different types of individuals

Page 13: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impacts of Government Policies on Savingfor Active vs. Passive Savers

Automatic Contribution Price Subsidy

Raises Pension

Contribs.?

Raises Total Saving

?

Raises Pension

Contribs.?

Raises Total Saving

?

Active Savers No No Yes Uncertain

Passive Savers

Yes Uncertain No No

Data ? ? ? ?

Page 14: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Outline

1. Test the four predictions

2. Estimate fraction of active vs. passive savers

3. Analyze heterogeneity to test active vs. passive choice mechanism

Passive x

response to and 0 1

Data Active

Page 15: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Institutional Background

Denmark has three major retirement savings policies similar to U.S.:

1. Tax-deferred individual savings accounts

2. Tax-deferred employer savings accounts

3. Defined benefit public pension system

Fixed benefit of DKr 140,000 (US $23,000) with earnings test based on income

Page 16: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Universe of Danish income tax returns, 1995-2009

Sample restrictions: (1) not self employed and (2) age 18-60

4.0 million unique individuals

41 million observations on savings and liabilities

Data on household balance sheet from 3rd party reports to tax authority

Data and Sample Definition

Page 17: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Part 1Impacts of Automatic Contributions

Page 18: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Do automatic contributions to retirement accounts affect individuals’ total saving?

Ideal experiment: randomize automatic contributions holding fixed total compensation ($100 increase in pension + $100 reduction in earnings)

Two quasi-experimental research designs:

1. Variation in employer-provided pensions

2. Government mandatory savings plan

Both designs yield similar results; focus today on employer changes

Impact of Automatic Contributions

Page 19: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Research design: event studies around job changes

Compare impacts of sharp increases or decreases in employer pension contributions at the time of job change

Two potential concerns with this design

Job switches may be endogenous

Total compensation changing as well; need to net out income effect

We address both concerns after presenting baseline results

Impacts of Employer-Provided Pensions

Page 20: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

04

812

-4 -2 0 2 4

Year Relative to Firm Switch

Con

trib

utio

n or

Tax

able

Sav

ing

Rat

e (%

of

inco

me)

Δ Employer Pensions = 5.64

Employer Pensions

Event Study around Switches to Firm with >3% Increase in Employer Pension Rate Individuals with Positive Pension Contributions or Savings Prior to Switch

Page 21: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

04

812

-4 -2 0 2 4

Year Relative to Firm Switch

Con

trib

utio

n or

Tax

able

Sav

ing

Rat

e (%

of

inco

me)

Δ Employer Pensions = 5.64

Event Study around Switches to Firm with >3% Increase in Employer Pension Rate Individuals with Positive Pension Contributions or Savings Prior to Switch

Employer Pensions Individual Pensions

Δ Individual Pensions = -0.56

Page 22: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

04

812

-4 -2 0 2 4

Year Relative to Firm Switch

Con

trib

utio

n or

Tax

able

Sav

ing

Rat

e (%

of

inco

me)

Δ Employer Pensions = 5.64

Event Study around Switches to Firm with >3% Increase in Employer Pension Rate Individuals with Positive Pension Contributions or Savings Prior to Switch

Δ Taxable Savings = 0.02

Employer Pensions Taxable Saving

Page 23: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

0.2

.4.6

.8

-4 -2 0 2 4

Year Relative to Firm Switch

Total Pension Contribs. Predcited with Full Pass-ThroughFra

ctio

n S

avin

g M

ore

than

New

Lev

el o

f E

mpl

oyer

Pen

sion

Fraction Saving More than New Level ofEmployer Pension Contribution

Δ Total Pensions = 25.8%Predicted = 27.2%

Page 24: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

0.2

.4.6

.8

-4 -2 0 2 4

Year Relative to Firm Switch

Total Pension Contribs. Predcited with Full Pass-ThroughFra

ctio

n S

avin

g M

ore

than

New

Lev

el o

f E

mpl

oyer

Pen

sion

Fraction Saving More than New Level ofEmployer Pension Contribution

Δ Total Pensions = 25.8%Predicted = 27.2%

Page 25: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

0.2

.4.6

.8

-4 -2 0 2 4

Year Relative to Firm Switch

Total Pension Contribs. Predcited with Full Pass-Through

Total Saving Predicted with Full Pass-Through

Fra

ctio

n S

avin

g M

ore

than

New

Lev

el o

f E

mpl

oyer

Pen

sion

Δ Total Savings = 21.0%

Δ Total Pensions = 25.8%Predicted = 27.2%

Predicted = 34.0%

Fraction Saving More than New Level ofEmployer Pension Contribution

Page 26: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

010

2030

4050

Per

cent

of

Indi

vidu

als

-3 -2 -1 0 1 2 3D Individual Pension Contributions as a Percentage of Labor Income

≥3% Increase in Employer Pension at Job Change

No Change in Employer Pension at Job Change

Change required tooffset 3% increase

Distribution of Changes in Individual Pension Contributions in Yearof Firm Switch

Page 27: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Cha

nge

in T

otal

Pen

sion

Con

trib

utio

ns (

% o

f in

com

e)

Change in Employer Pension Contributions (% of income)

-50

510

-5 0 5 10

Total PensionsPass-Through Rate: = 94.9%

(0.2%)

Changes in Total Pension Contributions vs. Changes in Employer Pension Rates

Page 28: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Cha

nge

in T

otal

Sav

ings

Rat

e (%

of

inco

me)

Change in Employer Pension Contributions (% of income)

Pass-Through Rate: = 77.7%Total Savings

Changes in Total Savings Rates vs. Changes in Employer Pension Rates-5

05

10

-5 0 5 10

(2.2%)

Page 29: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Cha

nge

in T

otal

Sav

ings

Rat

e (%

of

inco

me)

Percent Change in Labor Income

-50

050

100

-50 0 50 100

Changes in Total Savings Rates vs. Changes in Labor Income

Marginal Propensity to Save: β = 11.8%(0.3%)

Page 30: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

0.2

.4.6

.81

0 2 4 6 8 10

Pas

s-T

hrou

gh o

f E

mpl

oyer

Pen

sion

s to

Tot

al S

avin

gs

Years Since Firm Switch

Pass-Through of Employer Pension to Total Savings by Years Since Firm Switch

Page 31: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Tota

l Wea

lth A

ccru

ed F

rom

Sw

itch

to A

ge 6

0

Change in Employer Pension Contributions (% of income)

Δ Accrued Wealth / Δ Emp. Pension = 4.54(0.43)

Total Wealth Accrued from Switch to Retirement (Age 60)vs. Changes in Employer Pension Rate at Switch

-20

020

40

-5 -2.5 0 2.5 5 7.5

Page 32: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Sample: All FirmSwitches

All Firm Switches Mass Layoff Top Tax

SampleAll Firm

SwitchesFirst

SwitchSwitch

Age 46-54

Dep. Var.:Δ Tot.

Pension Rate

Δ Tot.Savings

Rate

Δ Tot. Savings

Rate

Δ Tot. Savings

Rate

Δ Net Savings

Rate

Δ Tot.Savings

Rate

ΔAccruedWealth

(1) (2) (3) (4) (5) (6) (7)Δ Emp. Pens. Contrib. Rate

0.949(0.002)

0.777(0.022)

0.828(0.187)

0.750(0.038)

0.745(0.037)

0.784(0.040)

4.541(0.426)

Δ Wages 0.118(0.003)

No. of Obs. 867,075 1,890,220 37,432 876,922 1,890,642 727,372 54,147

Employer Pensions: Pass-Through Estimates

Page 33: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Sample: Full SampleIncluding Corners Renters All Firm

SwitchesSingle

Individuals

Dep. Var.:Δ

NetSavings

ΔSavings

Rate

Δ Household

Savings

Δ Savings

Rate

(1) (2) (3) (4)

Δ Emp. Pens. Contrib. Rate

0.747(0.015)

0.818(0.027)

0.739(0.024)

0.775(0.034)

No. of Obs. 3,582,391 841,398 1,840,435 708,579

Employer Pensions: Pass-Through EstimatesRobustness Checks

Page 34: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Employer pensions provide good identifying variation but may not be identical to impacts of government policies

For instance: workers may be more willing to change consumption plans when switching firms

In the paper, we also directly study a mandate imposed by Danish government in 1998

Required individuals above eligibility threshold of DKr 35,000 to contribute 1% of savings to mandatory savings account

Estimate impacts using RD and DD designs

Main finding: $1 contribution to mandatory savings plan ~ $1 increase in pensions and total savings

Impacts of Mandates

Page 35: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impacts of Government Policies on Savingfor Active vs. Passive Savers

Automatic Contribution Price Subsidy

Raises Pension

Contribs.?

Raises Total Saving

?

Raises Pension

Contribs.?

Raises Total Saving

?

Active Savers No No Yes Uncertain

Passive Savers

Yes Uncertain No No

Data Yes Yes ? ?

Page 36: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Part 2Impacts of Subsidies for Retirement Saving

Page 37: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Denmark has two types of tax-deductible savings accounts:

Capital pensions: paid as a lump sum

Annuity pensions: paid as annuity

Subsidy for capital pensions for individuals in top income tax bracket was reduced in 1999

Tax treatment of annuity pensions unchanged

Impact of Subsidies

Page 38: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Taxation of Capital Pensions

Pre-1999

Tax At Time of Contribution 0%14% if in top tax bracket

Tax on Capital Gains ~20% ~20%

Tax on Payout 40% 40%

Page 39: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Taxation of Capital Pensions

Pre-1999 Post-1999

Tax At Time of Contribution 0%14% if in top tax bracket

Tax on Capital Gains ~20% ~20%

Tax on Payout 40% 40%

Page 40: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Gross Income Prior to Pension Contribution (DKr 1000s)

Note: $1 6 DKr

1998

1999

Treated groupControl group

DSubsidy = -14%

Subsidy for Capital Pensions in 1999S

ubsi

dy f

or C

apita

l Pen

sion

Con

trib

s.

250175 200 225 275 300 325

0%20

%40

%60

%

Page 41: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impact of 1999 Capital Pension Subsidy Reduction On Capital Pension Contribs.

050

0010

000

1500

0

-75000 -50000 -25000 0 25000 50000 75000

Income Relative to Top Tax Cutoff (DKr)

1996

Cap

ital P

ensi

on C

ontr

ibut

ion

(DK

r)

1999

Page 42: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impact of 1999 Capital Pension Subsidy Reduction On Capital Pension Contribs.

050

0010

000

1500

0

-75000 -50000 -25000 0 25000 50000 75000

Income Relative to Top Tax Cutoff (DKr)

1996 1997

Cap

ital P

ensi

on C

ontr

ibut

ion

(DK

r)

1999

Page 43: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impact of 1999 Capital Pension Subsidy Reduction On Capital Pension Contribs.

050

0010

000

1500

0

-75000 -50000 -25000 0 25000 50000 75000

Income Relative to Top Tax Cutoff (DKr)

1996 1997 1998

Cap

ital P

ensi

on C

ontr

ibut

ion

(DK

r)

1999

Page 44: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impact of 1999 Capital Pension Subsidy Reduction On Capital Pension Contribs.

050

0010

000

1500

0

-75000 -50000 -25000 0 25000 50000 75000

Income Relative to Top Tax Cutoff (DKr)

1996 1997 1998

1999

Cap

ital P

ensi

on C

ontr

ibut

ion

(DK

r)

Page 45: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impact of 1999 Capital Pension Subsidy Reduction On Capital Pension Contribs.

050

0010

000

1500

0

-75000 -50000 -25000 0 25000 50000 75000

Income Relative to Top Tax Cutoff (DKr)

1996 1997 1998

1999 2000

Cap

ital P

ensi

on C

ontr

ibut

ion

(DK

r)

Page 46: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impact of 1999 Capital Pension Subsidy Reduction On Capital Pension Contribs.

050

0010

000

1500

0

-75000 -50000 -25000 0 25000 50000 75000

Income Relative to Top Tax Cutoff (DKr)

1996 1997 1998

1999 2000 2001

Cap

ital P

ensi

on C

ontr

ibut

ion

(DK

r)

Page 47: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

020

4060

-100 -50 0 50 100Percent Change in Capital Pension Contributions

1997 to 1998

Per

cent

of

Indi

vidu

als

Impact of 1999 Capital Pension Subsidy Reduction on Distribution of Capital Pension Contributions for Prior Contributors

Page 48: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

020

4060

-100 -50 0 50 100Percent Change in Capital Pension Contributions

1997 to 1998 1998 to 1999

Per

cent

of

Indi

vidu

als

Impact of 1999 Capital Pension Subsidy Reduction on Distribution of Capital Pension Contributions for Prior Contributors

Page 49: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Effect of 1999 Reform on Fraction of Capital Pension Contributors by Yearfor Individuals Contributing Prior to Reform

020

4060

8010

0P

erce

nt S

till C

ontr

ibut

ing

to C

apita

l Pen

sion

0 2 4 6 8 10Years Since 1999 Reform

Page 50: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impacts of Government Policies on Savingfor Active vs. Passive Savers

Automatic Contribution Price Subsidy

Raises Pension

Contribs.?

Raises Total Saving

?

Raises Pension

Contribs.?

Raises Total Saving

?

Active Savers(Neoclassical)

No No Yes Uncertain

Passive Savers

Yes Uncertain No No

Data Yes Yes Yes ?

Page 51: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Two crowd-out parameters of interest

1. Shifting across pension accounts

What happens to each $1 taken out of capital pensions?

55% goes to annuity pension, 45% taken out of pension

Relevant parameter for impacts of a policy that targets one type of retirement account (e.g. firm match for 401k)

Crowd-out of Retirement Savings

Page 52: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Two crowd-out parameters of interest

1. Shifting across pension accounts

What happens to each $1 taken out of capital pensions?

55% goes to annuity pension, 45% taken out of pension

Relevant parameter for impacts of a policy that targets one type of retirement account (e.g. firm match for 401k)

2. Shifting from pension accounts to taxable savings accounts

What happens to each $1 taken out of pension savings?

Relevant parameter for determining overall impact of retirement savings subsidies on total savings

Crowd-out of Retirement Savings

Page 53: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

To estimate crowdout, focus on changes in slopes (i.e., MPS) over time

Does marginal propensity to save in taxable accounts rise when individuals cross into top bracket after 1999?

Could also study change in mean level of pension contributions and taxable saving

Yields similar estimates of crowd-out within retirement accounts

But fluctuations in MPS across years generates extremely imprecise estimates of impacts on taxable saving

Shifting from Retirement to Taxable Savings

Page 54: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

050

0010

000

1500

0

-75000 -50000 -25000 0 25000 50000 75000Income Relative to Top Tax Cutoff (DKr)

Cap

ital P

ensi

on C

ontr

ibut

ion

(DK

r)Capital Pensions vs. Income in 1996

Change in MPS at cutoff = 0.6%

Page 55: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

-.02

-.01

0.0

1.0

2

1996 1997 1998 1999 2000 2001

Change in Marginal Propensity to Save in Annuity vs. Capital Accountsat Top Tax Cutoff by Year

Year

Diff

eren

ce in

MP

S A

bove

vs.

Bel

ow T

op T

ax C

utof

f

Diff-in-Diff: = -0.021(0.002)

Page 56: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Annuity Pension Capital Pension

-.02

-.01

0.0

1.0

2

1996 1997 1998 1999 2000 2001

Diff

eren

ce in

MP

S A

bove

vs.

Bel

ow T

op T

ax C

utof

f

Year

Crowd-out: = 47.1%(5.6%)

Change in Marginal Propensity to Save in Annuity vs. Capital Accountsat Top Tax Cutoff by Year

Page 57: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Use change in capital pension subsidy as an instrument for total pension contributions

$1 reduction in capital pensions 45 cent reduction in total pensions

Does this 45 cents go into consumption or saving in taxable accounts?

Shifting from Retirement to Taxable Savings

Page 58: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

-.02

-.01

0.0

1.0

2

1996 1997 1998 1999 2000 2001

Diff

eren

ce in

MP

S A

bove

vs.

Bel

ow T

op T

ax C

utof

f

YearRetirement Accounts

Change in Marginal Propensity to Save in Retirement vs. Non-Retirement  Accounts at Top Tax Cutoff by Year

Page 59: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

-.02

-.01

0.0

1.0

2

1996 1997 1998 1999 2000 2001

Diff

eren

ce in

MP

S A

bove

vs.

Bel

ow T

op T

ax C

utof

f

YearRetirement Accounts Taxable Savings Accounts

Change in Marginal Propensity to Save in Retirement vs. Non-Retirement  Accounts at Top Tax Cutoff by Year

Crowd-out: = 120%(59%)

Page 60: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

AnnuityContrib.

Total PensionContrib.

TaxableSaving

TrimmedTaxableSaving

TaxableSaving

Threshold

(1) (2) (3) (4) (5)

Capital Pension Contrib.

-0.471(0.056)

0.529(0.056)

Total Pension Contrib.

-1.200(0.588)

-0.984(0.267)

-0.994(0.215)

No. of Obs. 7,026,187 7,026,187 7,026,187 7,026,187 7,026,187

Estimates of Crowd-out Induced by Subsidy ChangeBased on Changes in Marginal Propensity to Save

Page 61: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

98% of the change in pension contributions due to subsidies is financed by offsetting changes in savings in taxable accounts

Based on this estimate, we calculate that each DKr 1 of tax expenditure on subsidies raises personal saving by less than 1 cent

Crowd-Out Estimates

Page 62: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Impacts of Government Policies on Savingsfor Active vs. Passive Savers

Automatic Contribution Price Subsidy

Raises Pension

Contribs.?

Raises Total Saving

?

Raises Pension

Contribs.?

Raises Total Saving

?

Active Savers No No Yes Uncertain

Passive Savers

Yes Uncertain No No

Data Yes Yes Yes No

Page 63: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Do automatic contributions raise saving more when subsidies are larger?

We estimate interaction effect using two sources of variation in subsidy

Pre vs. post 1999 for those in top bracket

Below vs. above tax bracket cutoffs

Pass-through of employer contributions very similar in all cases

Change in subsidy of 14 cents per DKr (50% reduction) has no impact on efficacy of automatic contributions

Interaction Between Subsidy and Auto. Contributions

Page 64: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Part 3Identifying Active vs. Passive Savers

Page 65: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Are differences between impacts of automatic contributions and subsidies driven by active vs. passive choice?

Test the mechanism by analyzing heterogeneity of responses across individuals

Heterogeneity: Active vs. Passive Savers

Page 66: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Recall that roughly 15% of agents respond actively to all 3 policies

Employer Pensions: 1 minus pass-through = 6.1%

Mandated Savings Plan: 1 minus pass-through = 15.5%

Subsidy Reduction: fraction who reoptimize pension = 19%

Passive0 1

Active

SUBSIDYMSP

.19.06

Heterogeneity: Active vs. Passive Savers

.16

ESP

response to and

Page 67: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Test active vs. passive choice mechanism by analyzing 3 predictions

1. [State dependence] Individuals should respond more to subsidy when actively changing pensions for other reasons

Test if new pension contributors allocate more money to annuity accounts than capital accounts than prior contributors

Heterogeneity: Active vs. Passive Savers

Page 68: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

020

4060

8010

0

% C

ontr

ibut

ing

to C

apita

l Pen

sion

s

1998Year

Old contributors

Impact of Subsidy Change: Old vs. New Contributors

New contributors

Page 69: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

020

4060

8010

0

% C

ontr

ibut

ing

to C

apita

l Pen

sion

s

1998 1999Year

Old contributors New contributors

Impact of Subsidy Change: Old vs. New Contributors

Page 70: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Test active vs. passive choice mechanism by analyzing 3 predictions

1. [State dependence] Individuals should respond more to subsidy when actively changing pensions for other reasons

2. [Types] Individuals who optimize actively should respond to subsidy and undo automatic contributions to a greater degree

Proxy for active optimization: frequency of changes in pension contributions in other years

Heterogeneity: Active vs. Passive Savers

Page 71: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

05

1015

2025

30

0 20 40 60 80 100

% E

xten

sive

Mar

gin

Sub

stitu

tion

in 1

999

Percentage of Other Years with Change in Pension Contributions

Percent Responding to Capital Pension Subsidy Change in 1999by Frequency of Active Changes in Other Years

β = 17.6%(0.6%)

Page 72: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

8890

9294

9698

100

0 20 40 60 80 100

Pas

s-T

hrou

gh o

f E

mp.

Pen

sion

s to

Tot

al P

ensi

ons

Percentage of Other Years with Change in Individual Pension Contributions

Pass-Through of Employer Pension Changes for Firm-Switchersby Frequency of Active Changes in Other Years

β = -0.096(0.004)

Page 73: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Test active vs. passive choice mechanism by analyzing 3 predictions

1. [State dependence] Individuals should respond more to subsidy when actively changing pensions for other reasons

2. [Types] Active savers should respond to subsidy and undo automatic contributions to a greater degree

3. [Observable heterogeneity] Active savers likely to be those who are already saving and planning for retirement

Carroll et al. (2009): individuals with high discount rates both don’t save for retirement and delay financial planning

Heterogeneity: Active vs. Passive Savers

Page 74: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

1015

2025

0 0.5 1.0 1.5

% E

xten

sive

Mar

gin

Sub

stitu

tion

in 1

999

Wealth/Income Ratio in 1998

Heterogeneity in Response to Capital Pension Subsidy by Wealth/Income Ratio

β = 7.8%(0.5)

Page 75: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

020

4060

80

0 0.5 1.0 1.5

Pas

s-T

hrou

gh o

f E

mpl

oyer

Pen

sion

s to

Tot

al S

avin

gs

Wealth/Income Ratio in Year Prior to Switch

Heterogeneity in Pass-Through of Employer Pensions by Wealth/Income Ratio

β = -0.435(0.005)

Page 76: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

4050

6070

8090

Pas

s-T

hrou

gh (b

) F

rom

Em

ploy

er P

ensi

on C

hang

es

1012

1416

18

Age in Year of Subsidy Change (1999) or Firm Switch

% E

xten

sive

Mar

gin

Sub

stitu

tion

in 1

999

Heterogeneity in Responses to Subsidies and Employer Pensions by Age

25 35 45 55

Subsidy Response Employer Pension Pass-Through

Page 77: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

4050

6070

8090

Pas

s-T

hrou

gh (b

) F

rom

Em

ploy

er P

ensi

on C

hang

es

1012

1416

18

25 35 45 55Age in Year of Subsidy Change (1999) or Firm Switch

Subsidy Response Employer Pension Pass-Through

% E

xten

sive

Mar

gin

Sub

stitu

tion

in 1

999

Heterogeneity in Responses to Subsidies and Employer Pensions by Age

Page 78: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

05

1015

20

No College College

% E

xitin

g C

apita

l Pen

sion

and

Rai

sing

Ann

uity

in 1

999

Education

Heterogeneity in Responses to Subsidies by Educational Attainment

Page 79: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

05

1015

20

No College College Economics

% E

xitin

g C

apita

l Pen

sion

and

Rai

sing

Ann

uity

in 1

999

Education

Heterogeneity in Responses to Subsidies by Educational Attainment

Page 80: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Two important strands of research have developed independently

Crowd-out of retirement savings in non-retirement accounts

Impacts of active vs. passive policies within retirement accounts

These two issues are closely related

Degree of crowd-out depends fundamentally on whether savings change is made actively or passively

Implications for Retirement Savings Literature

Page 81: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Tax subsidies are ineffective at raising savings for three reasons:

1. Spend money subsidizing the savings of the 85% who are passive savers, who do not respond at all

2. Crowd-out rates high among the 15% of active savers

3. Active savers are already saving at higher rates subsidies do not target those who may be least prepared for retirement

Automatic contributions resolve all three of these problems

United States flow tax expenditure on tax-deferred savings accounts exceeds $100 billion [JCT 2012]

Are these policies the best way to raise retirement savings?

Implications for Tax Policy

Page 82: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

1. MPC differs sharply by the form of compensation

Increases in automatic pension contributions raise savings much more than increases in disposable income

Difference is persistent over time even for large shocks

2. Data point to a “Spenders/Savers” model with heterogeneous agents

85% of individuals are “spenders” with cash-on-hand rule-of-thumb for consumption

3. Interest elasticity of savings is low for two reasons:

Among “savers,” reductions in pension savings due to the cut in the subsidy almost entirely offset by increases in taxable savings

85% who are “spenders” not do respond to changes in the subsidy

Implications for Models of Consumption

Page 83: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Supplementary Slides

Page 84: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Summary StatisticsVariable Full Sample Top Bracket Sample

(1) (2) Labor Income () 202,981 277,585 Taxable Income () 217,284 264,698 Assets (not incl. home equity) 54,431 62,706 Assets >10% of labor income 52.1% 41.7% Assets/Gross Labor Inc. Ratio 37.0% 20.8% Total Savings 29,920 39,974 Saving Rate 12.8% 9.6% Liabilities (not incl. home mortgage) 78,995 95,444 Change in Liabilities 5,892 5,567 Net Savings Rate 0.9% 9.3%Pension Flows Fraction with Indiv. Pension 27.6% 36.0% Indiv. Pension 3,081 4,007 Indiv. Pension Contribution Rate 1.2% 1.2% Indiv. Capital Pension 1,868 2,589 Indiv. Annuity Pension 1,213 1,417 Fraction with Employer Pension 60.4% 83.0% Employer Pension 15,205 21,220 Employer Pension Contribution Rate 5.8% 7.0% Fraction with Any Pension 68.3% 90.0%

Page 85: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Summary StatisticsVariable Full Sample Top Bracket Sample

(1) (2)

Demographics Age 38.3 40.5 Female 52.0% 44.3% Married 49.4% 57.7% Has Partner 63.7% 73.0% Homeowner 52.9% 68.0% College Degree 29.3% 44.8% Economics Major in Terminal Degree 4.0% 4.0%

Number of Individuals 4,001,015 1,345,753Number of Observations 41,159,806 16,457,106

Page 86: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Employer pensions provide good identifying variation but may not be identical to impacts of government policies

E.g. workers may perceive increases in employer-sponsored pensions differently than universal mandate

Now directly study a mandate imposed by Danish government

Impacts of Mandates

Page 87: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

In 1998, Denmark introduced a Mandatory Savings Plan (MSP)

Forced individuals with income above DKr 35,000 to contribute 1% of their income to a retirement savings account

Contribution withheld at source and deposited in an account administered like other private account pensions

We present estimates from a RD design around eligibility cutoff first

Then show that similar results are obtained throughout income distribution using a difference-in-differences design

Government Mandated Savings Plan

Page 88: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Your ATP rate pension [MSP]

Value as of Jan 1. 2004Return in 2004Tax on return in 2004Administrative costs in 2004

Contribution in 2003Net return on your contributionValue as of Jan 1. 2005

6,722.59750.49-93.56-37.92

3,349.0066.89

10,757.49

Dkr.Dkr.Dkr.Dkr.

Dkr.Dkr.Dkr.

Page 89: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

020

040

060

0

Man

date

d S

avin

gs (

DK

r)Mandated Savings (M) Around Eligibility Threshold in 1998

Income (DKR 1000s)14.5 24.5 34.5 44.5 54.5

Page 90: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

010

0020

0030

0040

0050

0060

00

14.5 24.5 34.5 44.5 54.5

Num

ber

of T

axpa

yers

in I

ncom

e B

in

Income (DKr 1000s)

Balance Test 1: Income Distribution Around Eligibility Threshold

Page 91: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

1015

2025

30

14.5 24.5 34.5 44.5 54.5Income (DKR 1000s)

Empirical

Per

cent

with

Tot

al P

ensi

on C

ontr

ibut

ion

> D

Kr

1265

Effect on Mandate on Total Pension Contributions

Page 92: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

1015

2025

30

14.5 24.5 34.5 44.5 54.5Income (DKR 1000s)

Empirical Predicted with 100% Pass-Through

Per

cent

with

Tot

al P

ensi

on C

ontr

ibut

ion

> D

Kr

1265

Effect on Mandate on Total Pension Contributions

Total PensionsPass-Through Rate: = 85%

(11%)

Page 93: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

4044

4852

Per

cent

with

Tot

al S

avin

gs >

DK

r 13

71

14.5 24.5 34.5 44.5 54.5Income (DKR 1000s)

Empirical Predicted with 100% Pass-Through

Effect on Mandate on Total Saving

Total PensionsPass-Through Rate: = 127%Total PensionsPass-Through Rate: = 127%

(36%)

Page 94: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Dep. Var.: Δ Total PensionsTotal

PensionThreshold

Total Saving

Threshold

Total Ind.Saving

Threshold

NetSaving

Threshold

(1) (2) (3) (4) (5) (6)

Pass-Through Estimate

0.883(0.204)

1.052(0.200)

0.801(0.310)

0.845(0.113)

1.268(0.363)

1.336(0.349)

2.188(0.587)

Research Design Linear Linear Quadratic Linear Linear Linear Linear

No. of Obs 35,578 35,578 35,578 158,229 148,380 148,380 128,988

Mandated Savings Plan: Pass-Through Estimates

Page 95: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

RD estimates only apply to a low-income group of individuals

Now show that similar results are obtained throughout income distribution using a difference-in-differences design

Note that MSP was terminated in 2004

Government Mandated Savings Plan

Page 96: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

010

0020

0030

0040

00

1995 2000 2005 2010

Year

Bottom Tercile Middle Tercile Top Tercile

Man

date

d S

avin

gs (

DK

r)Mandatory Pension Contributions by Income Group

1% MSP Terminated

1% MSP Introduced

Page 97: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

020

0040

0060

0080

0010

000

1995 2000 2005 2010

Year

Bottom Tercile Middle Tercile Top Tercile

Indi

vidu

al P

rivat

e P

ensi

on C

ontr

ibut

ions

(D

Kr)

Total Individual Pension Contributions by Income Group

Page 98: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Alternative estimator to identify impacts of change in subsidy: compare mean level of pension contributions in treatment and control rather than MPS

Yields similar estimates within pension accounts, but much noisier estimates of crowdout because of fluctuations in MPS

See Appendix C of paper for details

Levels Estimates of Impacts of Subsidy Change

Page 99: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Cap

ital P

ensi

on C

ontr

ibut

ion

(DK

r)

2000

3000

4000

5000

6000

1996 1997 1998 1999 2000 2001

Year

Below Top Tax Cutoff Above Top Tax Cutoff

Impact of Subsidy Reduction On Individual Capital Pension Contribs.

Diff-in-Diff: = -2,449(121)

Subsidy for CapitalPension Reduced

Page 100: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

500

1000

1500

2000

2500

3000

1996 1997 1998 1999 2000 2001

Year

Below Top Tax Cutoff Above Top Tax Cutoff

Ann

uity

Pen

sion

Con

trib

utio

n (D

Kr)

Subsidy for CapitalPension Reduced

Crowd-out: = 56.8%(1.9%)

Impact of Capital Pension Subsidy Reduction On Annuity Pension Contributions

Page 101: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

25-75K Below Top Tax Cutoff 25-75K Above Top Tax Cutoff

Mean Levels of Taxable Saving Above vs. Below Top Tax Cutoff by Year

Year

Taxa

ble

Sav

ing

(DK

r)

5000

1000

015

000

2000

025

000

1996 1997 1998 1999 2000 2001

Page 102: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

00.

20.

40.

60.

81

-10000 -5000 0 5000 10000Placebo Treatment Effect Estimate on Taxable Saving

Predicted Impact with 100% Crowd-Out

CD

F o

f P

lace

bo C

oeffi

cien

tsEmpirical Distribution of Reduced-Form Placebo Coefs for Taxable Saving

Page 103: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

CD

F o

f P

lace

bo C

oeffi

cien

ts

-4000 -2000 0 2000 4000

00.

20.

40.

60.

81

Placebo Treatment Effect Estimate on Taxable Saving

Predicted Impact with 100% Crowd-Out

Empirical Distribution of Reduced-Form Placebo Coefs for Trimmed Taxable Saving

Page 104: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Below Top Tax Cutoff Above Top Tax Cutoff

.04

.06

.08

.1.1

2

1996 1997 1998 1999 2000 2001

Mar

gina

l Pro

pens

ity t

o S

ave

Year

Marginal Propensity to Save in Taxable Accounts for Individuals Above vs. Below Top Tax Cutoff by Year

Page 105: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

CD

F o

f P

lace

bo t

-sta

tistic

s

-6 -4 -2 0 2 4t-statistic on Placebo Taxable Saving Crowd-out Estimate

00.

20.

40.

60.

81

Estimate for Actual Reform

CDF of Placebo t-statistics for Crowd-out Estimates: Trimmed Means

Page 106: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

CD

F o

f P

lace

bo t

-sta

tistic

s

-4 -2 0 2 4 6

00.

20.

40.

60.

81

t-statistic on Placebo Taxable Saving Crowd-out Estimate

Estimate for Actual Reform

CDF of Placebo t-statistics for Crowd-out Estimates: Threshold Estimates

Page 107: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

CD

F o

f P

lace

bo p

-val

ue

0 .2 .4 .6 .8 1

00.

20.

40.

60.

81

p-value on Placebo Taxable Saving Crowd-out Estimate

Estimate for Actual ReformPermutation-Based P value = 0.0010

CDF of Placebo P values for Crowd-out Estimates: Trimmed Means

Page 108: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

CD

F o

f P

lace

bo p

-val

ue

0 .2 .4 .6 .8 1

00.

20.

40.

60.

81

p-value on Placebo Taxable Saving Crowd-out Estimate

Estimate for Actual ReformPermutation-Based P value = 0.0027

CDF of Placebo P values for Crowd-out Estimates: Threshold Estimates

Page 109: Active vs. Passive Decisions and Crowd-out in Retirement Savings Accounts: Evidence from Denmark Raj Chetty, Harvard and NBER John N. Friedman, Harvard

Cha

nge

in T

axab

le S

avin

g (D

Kr)

Taxable Income Relative to Top Tax Cutoff (DKr)

-500

050

010

00

-75000 -50000 -25000 0 25000 50000 75000

Change Taxable SavingsPost-Reform (1999-2001) minus Pre-Reform (1996-1998)