Voting on Pensions: A Survey

Abstract. The paper presents a nonexhaustive survey of the literature designed to explain emergence, size and political sustainability of pay‐as‐you‐go pension systems. It proposes a simple framework of analysis (a small, open, two overlapping generation economy model), around which some variants are displayed. Dictatorship of the median voter is assumed. The text is organized to answer the following questions: (i) Do political equilibria with PAYG pension schemes exist? (ii) Why do they emerge? (iii) What are the conditions for the participation constraint of the pension game to be verified?, and finally, (iv) What is the size of the pension system chosen by the median voter and how is this size influenced by an exogenous (e.g. demographic) shock?     

Can social security be welfare improving when there is demographic uncertainty?

This paper studies the welfare implications of a PAYG pension system in an overlapping generations (OLG) model with demographic uncertainty and incomplete markets. In the absence of public pensions, small cohorts tend to be favoured by the changes in relative prices implied by demographic shocks. PAYG defined-benefit systems can help to share the financial risks created by this type of demographic uncertainty across generations. Our careful quantitative analysis test this possibility with unfavourable results: the overall welfare impact of the public pensions is negative, due to the prominence of the crowding-out effect over the insurance effect.     

The political intergenerational welfare state

Using a three-period overlapping generations economy framework, we characterize an intergenerational welfare state with endogenous education and pension under voting. We show that although politically establishing Pay-As-You-Go (PAYG) social security in isolation in a dynamically efficient economy will always reduce the capital investment and therefore the social welfare as expected, in contrast politically implementing education-pension policy package instead can improve both human and physical capital accumulation and social welfare over laissez faire. However for this the political influence of the old has to be small thus limiting the size of the PAYG social security program.     

现收现付制养老保险对储蓄的影响——基于中国面板数据的实证研究

本文计算了我国养老保险现收现付制部分财富价值,并运用中国30个省份2002～2007年的相关面板数据考察了我国现收现付制养老保险对于储蓄的影响。研究结果表明,现收现付制养老保险对我国居民消费有显著的正向影响,即存在对储蓄的挤出;养老保险财富对消费的影响小于收入对消费的影响;我国养老保险对储蓄的挤出效应并不小,同时在不断扩大。因此,针对我国储蓄率过高的问题,可以通过扩大养老保险覆盖面等方法增加养老保险财富,促进经济的健康发展。     

Bayesian analysis of random coefficient logit models using aggregate data

We present a Bayesian approach for analyzing aggregate level sales data in a market with differentiated products. We consider the aggregate share model proposed by Berry et al. [Berry, Steven, Levinsohn, James, Pakes, Ariel, 1995. Automobile prices in market equilibrium. Econometrica. 63 (4), 841–890], which introduces a common demand shock into an aggregated random coefficient logit model. A full likelihood approach is possible with a specification of the distribution of the common demand shock. We introduce a reparameterization of the covariance matrix to improve the performance of the random walk Metropolis for covariance parameters. We illustrate the usefulness of our approach with both actual and simulated data. Sampling experiments show that our approach performs well relative to the GMM estimator even in the presence of a mis-specified shock distribution. We view our approach as useful for those who are willing to trade off one additional distributional assumption for increased efficiency in estimation.     

EFFECTS OF SECTOR AGGREGATION ON CO2 MULTIPLIERS IN MULTIREGIONAL INPUT–OUTPUT ANALYSES

The past few years have seen the emergence of several global multiregional input–output (MRIO) databases. Due to the cost and complexity of developing such extensive tables, industry sectors are generally represented at a rather aggregate level. Currently, one of the most important applications of input–output analysis is environmental assessments, for which highly aggregate sectors may not be sufficient to yield accurate results. We experiment with four of the most important global MRIO systems available, analyzing the sensitivity of a set of aggregate CO₂ multipliers to aggregations in the MRIO tables used to calculate them. Across databases, we find (a) significant sensitivity to background system detail and (b) that sub-sectors contained within the same aggregate MRIO sector may exhibit highly different carbon multipliers. We conclude that the additional information provided by the extra sector detail may warrant the additional costs of compilation, due to the heterogeneous nature of economic sectors in terms of their environmental characteristics.     

Understanding liquidity shortages during severe economic downturns

One feature of economic recessions is the appearance of aggregate liquidity shortages that can exacerbate the economic downturn. We develop a model in which the demand for liquidity arises suddenly in response to continued funding needs of partially completed investment projects whose outcomes are subject to idiosyncratic shocks and moral hazard. When the economy experiences an adverse aggregate productivity shock, incentive constraints that underlie equity contracts may bind, provided the shock is severe enough. In this case, credit-rationing appears, and the heightened demand for liquidity coincides with a greater reluctance to take on equity positions or deepen investments in on-going investment projects. The consequence is a reduction in new investment and termination of on-going projects due to a lack of liquidity, thereby worsening the economic slowdown.     

Non-separability and sectoral comovement in a sticky price model

This paper resolves the sectoral comovement problem between nondurable and durable outputs that arises in response to a monetary shock in a two-sector sticky price model with flexibly priced durable goods. We analytically demonstrate that the non-separability between aggregate consumption and labor can generate the comovement between nondurable and durable outputs in response to a monetary policy shock. We then estimate the degree of non-separability, together with other parameters, using a Bayesian approach. We find that the non-separable preferences are supported by the data and our estimated model generates the sectoral comovement in response to a monetary shock.     

The Macroeconomic Effects of Shocks to Large Banks’ Capital

We propose a simple approach to quantifying the macroeconomic effects of shocks to large banks’ leverage. We first estimate a standard dynamic model of leverage targeting at the bank level and use it to derive an aggregate measure of the economic capital buffer of large US bank holding corporations. We then evaluate the response of key macro variables to a shock to this aggregate bank capital buffer using standard monetary VAR models. We find that shocks to the capital of large US banks explain a substantial share of the variance of credit to firms and real activity.     

Aggregation is not the solution: the PPP puzzle strikes back

Recently, Imbs, Mumtaz, Ravn and Rey (2005, hereinafter IMRR) have argued that much of the purchasing power parity (PPP) puzzle is due to upwardly biased estimates of persistence. According to them, the source of the bias is the existence of heterogeneous price adjustment dynamics at the sectoral level that established time series or panel data methods fail to control for. This paper re‐examines this claim in two steps. Firstly, we demonstrate that IMRR's measures of sectoral persistence are systematically downwardly biased because they are based on an inaccurate definition of the ‘average’ impulse response function (IRF). We then show that standard estimates of shock persistence are recovered after this bias is corrected. Secondly, building on the results in Mayoral (2008), which prove that aggregate and micro models induce the same shock persistence behavior, we show that estimates based on aggregate and sectoral exchange rates are, in fact, highly consistent. Thus, aggregation is not the solution to the PPP puzzle. Copyright © 2009 John Wiley & Sons, Ltd.     

The impact of idiosyncratic uncertainty when investment opportunities are endogenous

This paper develops a general equilibrium model to study the impact of aggregate fluctuations in idiosyncratic volatility that incorporates the endogenous determination of investment opportunities. By making investment options more valuable, an increase in volatility encourages the creation of new investment options. I find the response of the economy to a volatility shock depends on how investment opportunities are obtained. If potential entrants are allowed to invest in new idiosyncratic technologies, thereby acquiring options for further investment, the volatility shock increases overall investment and results in an economic boom. On the other hand, if such an investment in option creation is precluded and investment opportunities are exogenously given, the volatility shock decreases aggregate investment.     

Asymmetries and Markov-switching structural VAR

The development of nonlinear representations and of generalized IRFs favored the study of the variables behavior in response to an economically identified shock as regards (i) the state of the system when the shock occurs, (ii) the size of the shock and (iii) the sign of the shock. Generalized IRFs are widely used in threshold representations to illustrate and even test the presence of asymmetries (Potter, 1995, van Dijk et al., 2007). However, GIRF have known no comparable development in Markov-switching VAR. I show that whether IRF and GIRF recently developed in this framework impose sign and size symmetries or display poor properties. In this paper, I propose a new GIRF for general Markov-switching structural VAR with fixed transition probabilities. In a simulation framework inspired from Rubio-Ramirez et al. (2005), I relax the assumption of perfect knowledge of the regime and introduce the updating step proposed by Camacho and Perez-Quiros (2013). As a consequence, sign/size asymmetries can now be examined in MSIAH-VAR and the GIRF now incorporates the dependence on future shocks without extra complexity. Visited regimes can now differ endogenously between the shocked and baseline trajectories due to the initial and future shocks but the only exogenous difference in the simulated trajectories relies on the initial structural shock. I use this approach to implement a test for sign and size asymmetries on US aggregate gross job flows.     

Aggregate shocks and macroeconomic fluctuations: A bayesian approach

This paper describes Bayesian techniques for analysing the effects of aggregate shocks on macroeconomic time-series. Rather than calculate point estimates of the response of a time-series to an aggregate shock, we calculate the whole probability density function of the response and use Monte-Carlo or Gibbs sampling techniques to evaluate its properties. The proposed techniques impose identification restrictions in a way that includes the uncertainty in these restrictions, and thus are an improvement over traditional approaches that typically use least-squares techniques supplemented by bootstrapping. We apply these techniques in the context of two different models. A key finding is that measures of uncertainty, such as posterior standard deviations, are much larger than are their classical counterparts.     

Revisiting the matching function

There is strong empirical evidence for Cobb–Douglas matching functions. We show in this paper that this widely found relation between matches on the one hand and unemployment and vacancies on the other hand can be the result of different underlying mechanisms. Obviously, it can be generated by assuming a Cobb–Douglas matching function. Less obvious, the same relationship results from a vacancy free-entry condition and idiosyncratic productivity shocks. A positive aggregate productivity shock leads to more vacancy posting, a shift of the idiosyncratic selection cutoff and thereby more hiring. We calibrate a model with both mechanisms to administrative German labor market data and show that idiosyncratic productivity for new contacts is an important driver of the elasticity of the job-finding rate with respect to the market tightness. Accounting for idiosyncratic productivity can explain the observed negative time trend in estimated matching efficiency and asymmetric business cycle responses to large aggregate shocks.     

Bank equity and macroprudential policy

This paper proposes an alternative macroprudential policy in the framework of Gertler et al. (2012). In their model, the central bank subsidizes bank outside equity, where the subsidy rate is determined by the shadow cost of the deposit. We find that the alternative rule in which the subsidy rate responds to the aggregate bank outside equity ratio is welfare improving because it has a better stabilization effect on the bank asset deterioration after a financial shock. We disentangle different channels through which macroprudential policies affect the economy and demonstrate that the better stabilization in the post-crisis economy has a positive effect on the economy in normal times through security prices.     

Tax-benefit systems and differences in aggregate labour force participation: Comparative evidence from the Czech Republic and Hungary

This paper investigates the extent to which cross-country differences in aggregate participation rates can be explained by differences in tax-benefit systems. We take the example of two countries, the Czech Republic and Hungary, which – despite a lot of similarities – differ markedly in labour force participation rates. Using comparable individual-level labour supply estimates, we simulate how the aggregate participation rate would change in one country if the other country’s tax and social welfare system were adopted. The estimation results for the two countries are quite similar, suggesting that individual preferences are essentially identical in the two countries. The simulation results show that about one-third of the difference in the participation rates of the 15–74 year-old population and more than two-thirds of the participation of the prime-age population can be explained by differences in the tax-benefit systems.     

The macroeconomic impact of economic uncertainty and financial shocks under low and high financial stress

External financial frictions might increase the severity of economic uncertainty shocks. We analyze the impact of aggregate uncertainty and financial condition shocks using a threshold vector autoregressive (TVAR) model with stochastic volatility during distinct US financial stress regimes. We further examine the international spillover of the US financial shock. Our results show that the peak contraction in euro area industrial production due to uncertainty shocks during a financial crisis is nearly-four times larger than the peak contraction during normal times. The US financial shocks have an influential asymmetric spillover effect on the euro area. Furthermore, the estimates reveal that the European Central Bank (ECB) is more cautious in implementing a monetary policy against uncertainty shocks while adopting hawkish monetary policies against financial shocks. In contrast, the Fed adopts a more hawkish monetary policy during heightened uncertainty, whereas it acts more steadily when financial stress rises in the economy.     

On the feasibility of monetary union among Gulf Cooperation Council (GCC) countries: does the symmetry of shocks extend to the non-oil sector?

GCC countries’ output is heavily dichotomized into oil and non-oil. Oil shocks have similar effects on all member countries but little is known about their responses to non-oil shocks. This paper sets out to determine (1) whether aggregate demand (AD) and non-oil supply shocks (AS) are symmetrical across these countries to justify their suitability for monetary union; and (2) whether there is any commonality of shocks with the United States and the three major European countries, namely France, Germany, and Italy, which can warrant the choice of either the US dollar or the Euro as the anchor for the expected common currency of the bloc. We use bivariate structural vector autoregression models identified with long-run restrictions to extract the shocks. Our results show that (a) AD shocks are unequivocally symmetrical but non-oil AS shocks are weakly symmetrical across GCC countries thereby suggesting a monetary union is feasible, but not overwhelmingly; (b) neither AD nor AS shocks are symmetrical between GCC countries and the selected European countries; (c) GCC’s AD shocks are symmetrical with the US but non-oil AS shock are not. Furthermore, there are no significant changes in the results when we aggregate the GCC countries as a bloc. We therefore surmise that the US dollar is a more appropriate anchor for the new currency than the Euro since US monetary policy can at least help smooth demand shocks in GCC countries.     

Oil Prices and Personal Consumption Expenditures: Does the Source of the Shock Matter?

This paper studies the effect of structural oil shocks on personal consumption expenditures (PCE). First, we estimate a nonlinear simultaneous equation model, compute impulse responses by Monte Carlo integration, and conduct a test of the symmetry of the impulse response functions. We find that aggregate PCE responds asymmetrically to positive and negative oil‐specific demand shocks. Second, we find that aggregate PCE responds negatively to positive oil demand shocks, while adverse oil supply shocks are of limited effect. Third, we find important heterogeneity in the magnitude, sign and timing of the disaggregate PCE responses to structural shocks in the crude oil market. Our results clearly indicate that the response of PCE to an unexpected oil price increase depends on the source of the oil price shock. Our findings are robust to different nonlinear transformations for the real price of oil.     

Linear prediction of temporal aggregates under model misspecification

This paper aims to demonstrate a possible aggregation gain in predicting future aggregates under a practical assumption of model misspecification. Empirical analysis of a number of economic time series suggests that the use of the disaggregate model is not always preferred over the aggregate model in predicting future aggregates, in terms of an out-of-sample prediction root-mean-square error criterion. One possible justification of this interesting phenomena is model misspecification. In particular, if the model fitted to the disaggregate series is misspecified (i.e., not the true data generating mechanism), then the forecast made by a misspecified model is not always the most efficient. This opens up an opportunity for the aggregate model to perform better. It will be of interest to find out when the aggregate model helps. In this paper, we study a framework where the underlying disaggregate series has a periodic structure. We derive and compare the efficiency loss in linear prediction of future aggregates using the adapted disaggregate model and aggregate model. Some scenarios for aggregation gain to occur are identified. Numerical results show that the aggregate model helps over a fairly large region in the parameter space of the periodic model that we studied.