Earnings and Consumption Dynamics: A Nonlinear Panel Data Framework

We develop a new quantile‐based panel data framework to study the nature of income persistence and the transmission of income shocks to consumption. Log‐earnings are the sum of a general Markovian persistent component and a transitory innovation. The persistence of past shocks to earnings is allowed to vary according to the size and sign of the current shock. Consumption is modeled as an age‐dependent nonlinear function of assets, unobservable tastes, and the two earnings components. We establish the nonparametric identification of the nonlinear earnings process and of the consumption policy rule. Exploiting the enhanced consumption and asset data in recent waves of the Panel Study of Income Dynamics, we find that the earnings process features nonlinear persistence and conditional skewness. We confirm these results using population register data from Norway. We then show that the impact of earnings shocks varies substantially across earnings histories, and that this nonlinearity drives heterogeneous consumption responses. The framework provides new empirical measures of partial insurance in which the transmission of income shocks to consumption varies systematically with assets, the level of the shock, and the history of past shocks.     

SHOCKING STUFF: TECHNOLOGY,HOURS, AND FACTOR SUBSTITUTION

The response of hours to technology shocks is a key controversy in macroeconomics. We show that differences between RBC and NK models hinge on highly restrictive views of technology. We introduce CES production technologies and demonstrate that the response of hours depends on the factor‐augmenting nature of shocks and the capital–labor substitution elasticity in both models. We develop analytical expressions to establish the thresholds determining its sign. This opens new margins for shock identification combining theory and VAR evidence. We discuss how our models provide new robust restrictions for empirical work, especially using the labor income share.     

存在方差持续性的资本资产定价模型分析

自回归条件异方差(ARCH) 类模型突破了传统计量经济分析的同方差假定,对现代资本 资产定价理论产生了深远的影响. 随着对时变方差研究的深入,方差持续性也日益受到人们的 重视. 文章首先介绍了条件均值、条件方差以及在自回归条件异方差的基础上介绍了方差持续 性的有关概念和性质,并将之用于资本资产定价模型的研究,讨论了条件方差持续性对资本资 产定价模型的影响,并且进一步讨论了在多资产条件下向量GARCH 模型持续性对组合投资 的影响.     

Inferring Labor Income Risk and Partial Insurance From Economic Choices

This paper uses the information contained in the joint dynamics of individuals' labor earnings and consumption‐choice decisions to quantify both the amount of income risk that individuals face and the extent to which they have access to informal insurance against this risk. We accomplish this task by using indirect inference to estimate a structural consumption–savings model, in which individuals both learn about the nature of their income process and partly insure shocks via informal mechanisms. In this framework, we estimate (i) the degree of partial insurance, (ii) the extent of systematic differences in income growth rates, (iii) the precision with which individuals know their own income growth rates when they begin their working lives, (iv) the persistence of typical labor income shocks, (v) the tightness of borrowing constraints, and (vi) the amount of measurement error in the data. In implementing indirect inference, we find that an auxiliary model that approximates the true structural equations of the model (which are not estimable) works very well, with negligible small sample bias. The main substantive findings are that income shocks are moderately persistent, systematic differences in income growth rates are large, individuals have substantial amounts of information about their income growth rates, and about one‐half of income shocks are smoothed via partial insurance. Putting these findings together, the amount of uninsurable lifetime income risk that individuals perceive is substantially smaller than what is typically assumed in calibrated macroeconomic models with incomplete markets.     

过程控制图在股票收益波动分析中的应用研究

应用AR型残差控制图解决过程自相关问题;用受控过程的条件标准差替代无条件标准差,构造控制图的控制线,解决过程波动簇聚问题.在实证中,以上证50指数中股票的周收益序列为样本过程,根据其统计性质将其分为四类,并分别举例、选择适当的控制图加以监控.然后,对控制图识别出的异常点举例进行验证、分析,以评价控制图应用于股票收益序列监控的有效性.     

Modeling Earnings Dynamics

In this paper, we use indirect inference to estimate a joint model of earnings, employment, job changes, wage rates, and work hours over a career. We use the model to address a number of important questions in labor economics, including the source of the experience profile of wages, the response of job changes to outside wage offers, and the effects of seniority on job changes. We also study the dynamic response of wage rates, hours, and earnings to various shocks, and measure the relative contributions of the shocks to the variance of earnings in a given year and over a lifetime. We find that human capital accounts for most of the growth of earnings over a career, although job seniority and job mobility also play significant roles. Unemployment shocks have a large impact on earnings in the short run, as well as a substantial long‐term effect that operates through the wage rate. Shocks associated with job changes and unemployment make a large contribution to the variance of career earnings and operate mostly through the job‐specific error components of wages and hours.     

INTERTEMPORAL CHOICE AND CONSUMPTION MOBILITY

The theory of intertemporal consumption choice makes sharp predictions about the evolution of the entire distribution of household consumption, not just about its conditional mean. In the paper, we study the empirical transition matrix of consumption using a panel drawn from the Bank of Italy Survey of Household Income and Wealth. We estimate the parameters that minimize the distance between the empirical and the theoretical transition matrix of the consumption distribution. The transition matrix generated by our estimates matches remarkably well the empirical matrix, both in the aggregate and in samples stratified by education. Our estimates strongly reject the consumption insurance model and suggest that households smooth income shocks to a lesser extent than implied by the permanent income hypothesis. (JEL: D52, D91, I30)     

RISK SHARING WITH LIMITED COMMITMENT AND PREFERENCE HETEROGENEITY: STRUCTURAL ESTIMATION AND TESTING

In order to analyze the role of limited commitment and preference heterogeneity in explaining the consumption allocation, I propose a theoretical and empirical framework to estimate and evaluate a risk‐sharing model where insurance transfers have to be self‐enforcing and the coefficient of relative risk aversion may depend on observable household characteristics. I compare this model to benchmark models with full commitment and/or without preference heterogeneity using data from three Indian villages. I find that the limited commitment model with heterogeneous preferences outperforms the benchmark models in a statistical sense and in terms of (i) explaining the dynamic response of consumption to idiosyncratic income shocks, (ii) accounting for the variation of consumption unexplained by household and time effects, and (iii) capturing the variation of inequality across time and villages and predicting changes in inequality. I also use the estimated models to predict the effects of a counterfactual tax and transfer policy on the consumption allocation. The limited commitment model with preference heterogeneity predicts larger benefits to the poor than its homogeneous counterpart. (JEL: C52, D10, D52)     

条件异方差动态Nelson-Siegel利率期限结构模型及其应用

动态Nelson-Siegel(DNS)利率期限结构模型将方差设定为常数,不能刻画收益率序列的条件异方差,降低了数据拟合和预测能力。本文用GARCH模型设定DNS模型观测方程条件异方差,基于适应状态空间模型用广义自回归得分(GAS)设定转移方程条件异方差矩阵,提出具有时变方差的GAS-DNS模型,将Rapisarda等的矩阵分解方法应用于协方差矩阵分解及再参数化保证协方差矩阵的正定性。采用中国银行间市场13种期限国债收益率数据进行实证分析,极大似然比检验表明,将DNS模型误差项方差矩阵时变化能够显著提高模型的对数似然值;以MAE、RMSE、MAPE和TIC为标准进行比较,显示GAS-DNS模型的收益率曲线样本内拟合效果和样本外预测能力均比DNS模型有显著提高。本文提出的GAS-DNS模型是对DNS模型的实质改进,鉴于利率期限结构模型和利率预测在实际应用中的重要性,本文的模型改进具有应用价值。     

Consumption Dynamics During Recessions

Are there times when durable spending is less responsive to economic stimulus? We argue that aggregate durable expenditures respond more sluggishly to economic shocks during recessions because microeconomic frictions lead to declines in the frequency of households' durable adjustment. We show this by first using indirect inference to estimate a heterogeneous agent incomplete markets model with fixed costs of durable adjustment to match consumption dynamics in PSID microdata. We then show that aggregating this model delivers an extremely procyclical Impulse Response Function (IRF) of durable spending to aggregate shocks. For example, the response of durable spending to an income shock in 1999 is estimated to be almost twice as large as if it occurred in 2009. This procyclical IRF holds in response to standard business cycle shocks as well as in response to various policy shocks, and it is robust to general equilibrium. After estimating this robust theoretical implication of micro frictions, we provide additional direct empirical evidence for its importance using both cross‐sectional and time‐series data.     

UNCERTAINTY,PERSISTENCE, AND HETEROGENEITY: A PANEL DATA PERSPECTIVE

The purpose of this paper is to review newly developed identification and estimation tools that are relevant for the analysis of dynamic dependence structures of income risk. I present an application to nonlinear permanent–transitory models of household income using data from the Panel Study of Income Dynamics (PSID), but the empirical approach is more generally applicable. Household income processes are of interest because the size of shocks, the nature of their persistence, and cross‐household heterogeneity are all important to understand how income inequality varies with age and cohort and how it translates into consumption inequality. I argue that going from an econometrics of autocovariances to an econometrics of flexible distributions is feasible and has the potential to reveal richer aspects of risk—for example, nonlinear persistence of unusual shocks.     

Inference in Arch and Garch Models with Heavy–Tailed Errors

ARCH and GARCH models directly address the dependency of conditional second moments, and have proved particularly valuable in modelling processes where a relatively large degree of fluctuation is present. These include financial time series, which can be particularly heavy tailed. However, little is known about properties of ARCH or GARCH models in the heavy–tailed setting, and no methods are available for approximating the distributions of parameter estimators there. In this paper we show that, for heavy–tailed errors, the asymptotic distributions of quasi–maximum likelihood parameter estimators in ARCH and GARCH models are nonnormal, and are particularly difficult to estimate directly using standard parametric methods. Standard bootstrap methods also fail to produce consistent estimators. To overcome these problems we develop percentile–t, subsample bootstrap approximations to estimator distributions. Studentizing is employed to approximate scale, and the subsample bootstrap is used to estimate shape. The good performance of this approach is demonstrated both theoretically and numerically.     

Latente Steuern und Earnings Management

On the one hand deferred income taxes can be used for earnings management for external reporting purposes by itself. On the other hand deferred income taxes can indicate earnings management in other accounting areas, fraud and aggressive tax management. Empirical research was able to identify the usefulness of information provided by sundry components of the reported income tax expense for users of financial statements. In particular, the German literature concerning financial statement analysis underestimates the value of this information. This paper critically reviews empirical research and draws conclusions for financial statement analysis and for future studies in this area.     

TAX POLICY REFORM: THE ROLE OF EMPIRICAL EVIDENCE

To understand the role of evidence in tax policy design, this paper organizes the empirical analysis of reform under five loosely related headings: (i) key margins of adjustment, (ii) measurement of effective tax rates, (iii) the importance of information and complexity, (iv) evidence on the size of responses, and (v) implications from theory for tax design. The context for the discussion is the recently published Mirrlees Review of tax reform. Although the Review focused on all aspects of tax reform, this paper highlights the taxation of earnings. It also comments on earnings taxation in the context of VAT base‐broadening reforms and the taxation of capital.     

Unemployment Duration of Spouses: Evidence From France

This paper analyses the conditional probability of leaving unemployment of French married individuals from 1991 to 2002. We find that the effect of spousal labor income on unemployment duration is asymmetric for men and women. In particular, the probability of men to find a job is increasing in wife's labor income, while it is decreasing in husband's earnings for women. To adjust for endogenous selection into marriage, we use the quarter of birth as an instrumental variable for the spousal wage. Finally, we show that introducing a breadwinner stigma in a joint job search model generates the positive correlation observed for men in the data.     

PARENTAL INCOME,LIFETIME INCOME,AND MORTALITY

This article studies the relation between parental economic resources and mortality later in life. We use a data set on a cohort of individuals born in 1928 in the county of Malmö in southern Sweden, which contains exceptionally detailed measures of parental household income from five years during the individuals' childhood between 1929 and 1942. The data also contain very rich information on individual earnings throughout these individuals' entire life cycle that allows us to construct a measure of lifetime earnings. Date and cause of death are obtained from national registers. Using Cox proportional hazard models, we find an inverse relationship between parental income and mortality, also when controlling for individual lifetime income and when studying those with high education separately. A competing risk analysis shows the relation between parental income and mortality to apply to cancer as the cause of death. (JEL: D31, I10, I12, J10)     

Estimating Semiparametric ARCH(∞) Models by Kernel Smoothing Methods1

We investigate a class of semiparametric ARCH(∞) models that includes as a special case the partially nonparametric (PNP) model introduced by Engle and Ng (1993) and which allows for both flexible dynamics and flexible function form with regard to the “news impact” function. We show that the functional part of the model satisfies a type II linear integral equation and give simple conditions under which there is a unique solution. We propose an estimation method that is based on kernel smoothing and profiled likelihood. We establish the distribution theory of the parametric components and the pointwise distribution of the nonparametric component of the model. We also discuss efficiency of both the parametric part and the nonparametric part. We investigate the performance of our procedures on simulated data and on a sample of S&P500 index returns. We find evidence of asymmetric news impact functions, consistent with the parametric analysis.     

中国城市化进程对能源需求的动态冲击效应

运用VAR和SVAR模型脉冲响应函数及方差分解技术,对我国1989~2009年间城市化进程与能源需求之间动态波动效应的实证研究表明:短期内,城市化率和人均GDP的增加均对能源需求增长起到促进作用;中长期内,城市化率的提高对能源需求量的影响高于对人均GDP的影响,且城市化率的提高对能源的需求在中期表现出集约和节约效应。在制定和调整城市化进程及能源供需战略和决策时,需要考虑到城市化进程对能源消费量的扩张作用、城市化进程的不可抑制性、较低的人均能源需求水平以及能源供给的基本状况,选择不同期限的能源供需策略以实现城市化进程中能源供需平衡。     

ARCH模型的诊断分析

探讨了 ARCH模型的诊断分析和变结构建模问题 .所提出的分整增广 GARCH- M模型包括了几乎所有现有的 ARCH模型 ,基于分整增广 GARCH- M模型克服了 ARCH模型在模型设定检验 ,长记忆检验和参数估计等方面的障碍 .利用分段建模方法来检测模型结构变化点和分段变化模型的选择 .最后 ,以上海证券综合事业股票指数为数据 ,验证了诊断分析方法的有效性     

Time‐Varying Risk Premium in Large Cross‐Sectional Equity Data Sets

We develop an econometric methodology to infer the path of risk premia from a large unbalanced panel of individual stock returns. We estimate the time‐varying risk premia implied by conditional linear asset pricing models where the conditioning includes both instruments common to all assets and asset‐specific instruments. The estimator uses simple weighted two‐pass cross‐sectional regressions, and we show its consistency and asymptotic normality under increasing cross‐sectional and time series dimensions. We address consistent estimation of the asymptotic variance by hard thresholding, and testing for asset pricing restrictions induced by the no‐arbitrage assumption. We derive the restrictions given by a continuum of assets in a multi‐period economy under an approximate factor structure robust to asset repackaging. The empirical analysis on returns for about ten thousand U.S. stocks from July 1964 to December 2009 shows that risk premia are large and volatile in crisis periods. They exhibit large positive and negative strays from time‐invariant estimates, follow the macroeconomic cycles, and do not match risk premia estimates on standard sets of portfolios. The asset pricing restrictions are rejected for a conditional four‐factor model capturing market, size, value, and momentum effects.