ENRSP Conference, Sopot 2016

Slides:



Advertisements
Similar presentations
Changes in measurement of savings: Perspectives from a consumer (of NA data) Alain de Serres* OECD Florian Pelgrin * Bank of Canada * Personal views, not.
Advertisements

THE IRISH PENSION MODEL Anne Maher Chief Executive Washington DC The Pensions Board 19 July 2005 Ireland Reinventing Retirement: Balancing Risk.
Multiple Regression Fenster Today we start on the last part of the course: multivariate analysis. Up to now we have been concerned with testing the significance.
Chapter 2 – Tools of Positive Analysis
Research paper format Introduction Theory & Literature Review
Rome 2007 Experimental tests on consumption, savings and pensions Rome 2007 Enrique Fatás (Lineex and U. Valencia) Juan A. Lacomba (Lineex and U. Granada)
Ljubljana, 17/09/2012 Effects of labour market reforms in OECD countries – implications for Slovenia International Conference organized by the Ministry.
OECD/EU PROJECT ON TAXATION, FINANCIAL INCENTIVES AND RETIREMENT SAVINGS Pablo Antolin OECD DAF/FIN Pension Unit.
Pension schemes An intrepretation of the AEG short minutes François Lequiller OECD.
1 Jesus Ferreiro & Felipe Serrano Department of Applied Economics V University of the Basque Country Conference Economic Policies of the New Thinking in.
C M Clarke-Hill1 Analysing Quantitative Data Forming the Hypothesis Inferential Methods - an overview Research Methods.
1 The Impact of Low Income Home Owners on the Volatility of Housing Markets Peter Westerheide ZEW European Real Estate Society Conference 2009 Stockholm.
1 HETEROSCEDASTICITY: WEIGHTED AND LOGARITHMIC REGRESSIONS This sequence presents two methods for dealing with the problem of heteroscedasticity. We will.
European Economic and Social Committee Challenges facing European pension systems Krzysztof Pater.
T Relationships do matter: Understanding how nurse-physician relationships can impact patient care outcomes Sandra L. Siedlecki PhD RN CNS.
Pantelis Pantelidis, University of Piraeus Dimitrios Kyrkilis, University of Macedonia Efthymios Nikolopoulos, University of Macedonia February 2011 The.
A Framework for Pension Policy Analysis in Ireland: PENMOD, a Dynamic Simulation Model T. Callan, J. van de Ven and C. Keane.
Multiple Regression Analysis: Inference
Presented at CARSP Conference
Heteroscedasticity Chapter 8
Changing world of work & reforms of social security systems
Logic of Hypothesis Testing
Lecture 2 Macroeconomic Data and Variables
Yung-Ming Shiu National Chengchi University July 2014
Standard Level Diploma
Determinants of entrepreneurial overoptimism at the country level
Dictatorship, Patronage and Public Good Provision
Discussion of the paper: The peer performance ratios of hedge funds
17th September, 2016 Ekaterinburg
Hypothesis Testing.
Quantitative methods Lecture 1.
Chong-Bum AN Department of Economics, Sungkyunkwan University &
Rational Influence Tactics Harsh Influence Tactics
Discussant: Lauren Schmitz University of Michigan
Edyta Marcinkiewicz, Filip Chybalski,
International Labour Office
Kenneth Nelson Professor of sociology
ZHANG Juwei Institute of Population and Labor Economics
Justin van de Ven MIAESR & NIESR
Chapter 4: The Nature of Regression Analysis
More on Specification and Data Issues
Retirement Plans and Mutual Funds
PHLS 8334 Class 2 (Spring 2017).
Pensions and Savings in the UK
Price differentiation and price parity clauses
Demographic transition and economic growth in Benin
Elements of a statistical test Statistical null hypotheses
Corporate governance, chief executive officer compensation, and firm performance 刘铭锋
INTRODUCTION TO RESEARCH
Evidence from Chinese firm level data Ingrid Nielsen, Russell Smyth
Capital structure, executive compensation, and investment efficiency
Heteroskedasticity.
Zornitsa Kutlina-Dimitrova, PhD
Chapter 7: The Normality Assumption and Inference with OLS
Seminar in Economics Econ. 470
Timon Forster Alexander Kentikelenis Clare Bambra
MISSOC NETWORK MEETING,NICOSIA
The Determinants of FDI Inflows to Greece
Data collection and SPF indicators Issues for discussion
CAN US MUTUAL FUNDS BEAT THE MARKET Brooks Chpt:2
Interpreting Epidemiologic Results.
Research Design Research Methodology and Methods of Social Inquiry
Financial Econometrics Fin. 505
London Business School and City University, London
University of Warwick, Department of Sociology, 2014/15 SO 201: SSAASS (Surveys and Statistics) (Richard Lampard) Analysing Means I: (Extending) Analysis.
Chapter 4: The Nature of Regression Analysis
Public Pension Reforms and Private Savings
Model and Hypothesis Table Explanation of Variables
MGS 3100 Business Analysis Regression Feb 18, 2016
Borderline of social insurance: pensions
Presentation transcript:

ENRSP Conference, Sopot 2016 Myopic behavior and state involvement in a pension system: a cross-section study for OECD countries Filip Chybalski, Edyta Marcinkiewicz Lodz University of Technology, Department of Management This paper forms part of the project funded by the National Science Centre (Poland) under grant number DEC-2014/15/D/HS4/01238 ENRSP Conference, Sopot 2016

Agenda Goal Motivation Conceptual framework Method and data Results Conclusions

Goal The goal of this paper is to study whether the relationships between agents’ participation in voluntary pension schemes and some pension system features regarding its public and mandatory character as well as its current and predicted generosity suggest that the myopia is observed and, therefore, justifies a significant state involvement in a pension system.

Motivation (1) To avoid the negative effects of myopia on the aggregate level, the state plays a role in a pension system, however this role varies between countries. The problem how much the state should be involved in decisions dealing with saving for retirement and to what extent they should be a matter of individual choices is the subject of wide academic discussion.

Motivation (2) This study adds to a relatively small number of studies that verify the myopia hypothesis from a pension policy perspective i.e. as a rationale for imposing a mandatory pension system Prior studies on myopia are based on: theoretical models (e.g. Caliendo and Gahramanov 2011; Cremer et al. 2007; Kaplow 2006; Ven 2010), analyses of survey micro data for a single country (e.g. Webb et al. 2014; Brown and Previtero 2014; Honekamp 2014) or psychological experiments (Holmes 2011)

Conceptual framework (1) We define myopia as agents’ shortsightedness mainly in terms of smoothing consumption over the life cycle through appropriate savings for retirement. Our research question is whether more liberal pension systems encourage myopic behavior. We search for the relationship between the agents’ involvement in voluntary pension schemes and some variables characterizing the state involvement in a pension system or the generosity of a pension system.

Conceptual framework (2) Relationship Negative Positive or does not exist Popularity of voluntary pension schemes vs. the scope of state involvement in a pension system and generosity of mandatory pension system The myopia hypothesis does not hold; it cannot be a justification for a large public pension system The myopia hypothesis can be supported but only when the lack of this relationship results from the fact that agents prefer current consumption over saving for retirement despite the small state involvement in a pension system or its insufficient generosity. It cannot be supported when agents expect adequate benefits from the mandatory pension system in the future, but simultaneously they may perceive high political, demographic or other risks in this system, and save independently from the mandatory system. Thus, it is difficult to accept the myopia hypothesis unambiguously.

Method and data (1) Data: OECD pension statistics (2011-2012) for 21 countries Variables: Y – coverage rate of voluntary private pension schemes by type of plan in 2011, expressed as a percentage of the working age population (15-64 years), calculated as the maximum of two values: coverage rate of voluntary occupational schemes and coverage rate of voluntary personal schemes, or the total value of voluntary schemes (if available); X1 – the rate of public pension contribution (if nonexistent, X1=0); X2 – coverage of mandatory/quasi-mandatory private pension schemes by type of plan, expressed as a percentage of the working age population (15-64 years); X3 – the ratio between the mandatory public and mandatory private expenditure on old-age pension provisions and total expenditure on old-age pensions (public and private mandatory and private voluntary); X4 – the net pension replacement rate from the public and private mandatory pension system. We employ the net replacement rate calculated for the person earning an average wage; X5 – aggregated replacement ratio for current beneficiaries (Eurostat data from 2013); C - GDP per capita of population, in USD, current prices, current PPPs.

Method and data (2) Methods: Regression modeling Hierarchical clustering and k-means clustering

Standard error of estimation Results (1) Regression Model (OLS Estimator) for Coverage Rate of Voluntary Pension Schemes in European OECD Countries Parameter Standard error of estimation t Statistics p-value Intercept 164.128 28.220 5.816 0.000 X1 1.053 0.369 2.852 0.013 X2 -0.138 0.092 -1.508 0.154 X3 -68.269 26.830 -2.545 0.023 X4 -44.186 21.893 -2.018 0.063 X5 -129.828 43.006 -3.019 0.009 C 0.275 0.221 1.246 0.233 R2 0.684   F-statistics 5.057 <0.006

Results (2): Dendogram for 21 European OECD Countries in Terms of the (Present and Predicted) Generosity of Pension Systems (X4 and X5)

Results (3): Means and Medians of Y, X4 and X5 Variables for More and Less Generous Pension Systems Pension systems Parameter Y X4 X5 More generous Mean 13.923 0.804 0.624 Less generous 36.987 0.567 0.502 Median 16.469 0.782 0.600 39.750 0.571 0.490 Voluntary Pension Coverage Rates (%) for More and Less Generous Pension Systems more generous

Conclusions (1) In countries with less generous pension systems, voluntary schemes are more popular and better covered by working population. We do not find any empirical evidence in the studied cross-sectional data, which would support the view that the myopia is observed at the aggregated level. Therefore, it cannot be an argument in favor of a greater state’s involvement in a pension system. However, it refers only to the the current as well as predicted generosity of pension systems. We have not been able to confirm a significant relationship between agent participation in voluntary pension schemes and the mandatory and public character of pension systems. In respect to this dimension, we only noticed that in the studied group of countries, a greater share of mandatory (public and private) expenditure on old-age pension provisions in total expenditure on old-age pensions is accompanied by lower coverage rates in voluntary pension schemes.

Conclusions (2) In countries where the level of compulsion is smaller, one could expect lower generosity of the pension system. This implies that both studied dimensions of state involvement i.e. the mandatory character of a pension system and its generosity should have a similar impact on the participation in voluntary schemes. Nevertheless, our results show that greater compulsion measured by the higher level of pension contribution rate is not accompanied by smaller involvement in voluntary pension plans, whereas greater current and projected replacement rates are significantly related to the coverage of voluntary pensions. Redistribution embedded in the benefit calculation formula could possibly be the reason for this inconsistency, as it distorts the relationship between contributions (earnings) and benefits. As stated by Cremer and Pestieau (2011), there is a complex relationship between redistribution and forced saving. The most important limitation of this study is the identification of participation in voluntary pension plans with additional retirement savings. Therefore, we disregard other forms of savings that could be also used to smooth consumption in life cycle. This simplified approach results from the fact that on the aggregate level it is very difficult to distinguish between short-term ordinary savings and long-term retirement savings. That is why in our analysis we consider only voluntary participation in saving plans dedicated strictly to retirement purposes.