The Retirement Consumption Puzzle: Evidence from a Regression Discontinuity Approach

In this paper we investigate the size of the consumption drop at retirement in Italy. We use micro data on food and total non-durable household spending covering the period 1993-2004, and evaluate the change in consumption that accompanies retirement by exploiting the exogenous variability in pension eligibility to correct for the endogenous nature of the retirement decision. We take a regression discontinuity design approach, and make the identifying assumption that consumption would be the same around the threshold for pension eligibility if individuals would not retire. We check in our data that a non-negligible fraction of individuals retire as soon as they become eligible, and estimate at 9.8% the part of the non-durable consumption drop that is associated with retirement induced by eligibility. We show that such fall is not driven by liquidity problems for the less well off in the population, and can be accounted for by drops in goods that are work-related expenses or leisure substitutes. However, we also show that retirement induces a significant drop in the number of grown children living with their parents, and this can account for most of the retirement consumption drop.

[1]  Andrew Chesher,et al.  Treatment effect estimation with covariate measurement error , 2009 .

[2]  Mark Aguiar,et al.  Deconstructing Lifecycle Expenditure , 2008 .

[3]  Erich Battistin,et al.  Ineligibles and eligible non-participants as a double comparison group in regression-discontinuity designs , 2008 .

[4]  Erik Hurst The Retirement of a Consumption Puzzle , 2008 .

[5]  D. Blau Retirement and Consumption in a Life Cycle Model , 2007, Journal of Labor Economics.

[6]  Guido W. Imbens,et al.  Regression Discontinuity Designs: A Guide to Practice. NBER Working Paper No. 13039. , 2007 .

[7]  J. Banks,et al.  Retirement in the UK , 2006 .

[8]  Sarah Smith The Centre for Market and Public Organisation the Retirement-consumption Puzzle and Involuntary Early Retirement: Evidence from the British Household Panel Survey the Retirement-consumption Puzzle and Involuntary Early Retirement: Evidence from the British Household Panel Survey , 2022 .

[9]  M. Hurd,et al.  Some Answers to the Retirement-Consumption Puzzle , 2006 .

[10]  Jonathan D. Fisher,et al.  The Retirement Consumption Conundrum: Evidence from a Consumption Survey , 2005 .

[11]  Mark Aguiar,et al.  Consumption versus Expenditure , 2005, Journal of Political Economy.

[12]  David S. Lee Randomized experiments from non-random selection in U.S. House elections , 2005 .

[13]  Mark Aguiar,et al.  Lifecycle Prices and Production , 2005 .

[14]  E. Moretti,et al.  Why Do Most Italian Young Men Live with Their Parents? Intergenerational Transfers and Household Structure , 2005 .

[15]  Ana Fernandes,et al.  Job Insecurity and Children's Emancipation , 2004 .

[16]  Steven J. Haider,et al.  Is There a Retirement-Consumption Puzzle? Evidence Using Subjective Retirement Expectations , 2004, The Review of Economics and Statistics.

[17]  Mark Aguiar,et al.  Consumption vs. Expenditure , 2004 .

[18]  Martin Browning,et al.  Asking Consumption Questions in General Purpose Surveys , 2003 .

[19]  C. Monfardini,et al.  Is there a retirement consumption puzzle in Italy , 2003 .

[20]  Erich Battistin,et al.  What do we learn from recall consumption data , 2003 .

[21]  D. Wise,et al.  Pensions and Retirement Incentives. A Tale of Three Countries: Italy, Spain and the USA , 2003 .

[22]  T. Jappelli,et al.  Private Transfers, Borrowing Constraints, and Timing of Homeownership , 2002 .

[23]  G. Angeletos,et al.  The Hyperbolic Consumption Model: Calibration, Simulation, and Empirical Evaluation , 2022 .

[24]  Ravi Bansal,et al.  Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles , 2000 .

[25]  B. Bernheim,et al.  What Accounts for the Variation in Retirement Wealth Among U.S. Households? , 1997 .

[26]  J. Banks,et al.  Is There a Retirement-Savings Puzzle? , 1995 .

[27]  Joel L. Horowitz,et al.  Identification and Robustness with Contaminated and Corrupted Data , 1995 .

[28]  J. Angrist,et al.  Identification and Estimation of Local Average Treatment Effects , 1994 .

[29]  William M. K. Trochim,et al.  Research Design for Program Evaluation: The Regression-Discontinuity Approach , 1984 .

[30]  D. Campbell,et al.  Regression-Discontinuity Analysis: An Alternative to the Ex-Post Facto Experiment , 1960 .

[31]  T. Boeri Pension Reforms and Women at Work , 2005 .

[32]  Sascha O. Becker,et al.  Job Insecurity and Children's Emancipation: The Italian Puzzle ∗ , 2002 .

[33]  John Bound,et al.  Measurement error in survey data , 2001 .

[34]  J. Hahn,et al.  IDENTIFICATION AND ESTIMATION OF TREATMENT EFFECTS WITH A REGRESSION-DISCONTINUITY DESIGN , 2001 .

[35]  J. Heckman,et al.  The Economics and Econometrics of Active Labor Market Programs , 1999 .

[36]  Martin Browning,et al.  Household Saving: Micro Theories and Micro Facts , 1996 .