State Dependence in Welfare Benefits in a Non-Welfare Context

This study investigates state dependence in social assistance benefits in Turkey, where benefit receipt and persistence rates have significantly increased over the past decade. We estimate state dependence through dynamic random-effects probit models, controlling for observed and unobserved heterogeneity, and endogenous initial conditions. In particular, we employ Wooldridge’s estimator to achieve consistent and correct estimates of state dependence and compare the results with estimates from Heckman’s reduced-form approach as a sensitivity check. Both estimators enable us to disentangle true state dependence from its spurious components and address the potential bias due to the short panel length. Our results suggest that the receipt of benefits in the last year increases the likelihood of benefit receipt in the current year, namely the structural state dependence, by 17.2–19.5 percentage points.     

Self‐employment Dynamics in Australia and the Importance of State Dependence

Using Australian labour force data, both cross‐sectional and longitudinal, this study examines the dynamics of self‐employment with a particular focus on workers transitioning between self‐employment and salaried employment, and the extent to which self‐employment is the result of workers’ observed and unobserved characteristics or is instead determined by their prior employment experience itself. Probability models of self‐employment using both pooled‐panel probit and dynamic random‐effects panel probit methods are estimated, and the results are found to be extremely sensitive to the differences in the econometric methods. Once unobserved heterogeneity and initial conditions are controlled for in the dynamic model, the importance of observed characteristics in determining self‐employment is greatly diminished. Instead, workers’ past experience in self‐employment (as opposed to salaried employment) is found to have a large favourable effect on their future self‐employment prospects. The influence of this state dependence is also considerably more important in determining self‐employment outcomes than salaried ones. Despite establishing the importance of state dependence, however, what this effect implies about why individuals choose to become self‐employed or the role that self‐employment plays in the labour market remains unresolved.     

Is the ladder sticky? Measuring semi-parametrically state dependence in earnings mobility

Employing the U.S. data for the 1990’s, we disentangle state dependence from unobserved heterogeneity in earnings mobility. The fixed effects dynamic multinomial logit utilized to model earnings quintiles dynamics fits the data very well, much more so than the autocorrelated dynamic ordered probit. Unordered models should thus be preferred to study earnings mobility. State dependence is found to be significant. It has a protective (anti-fall) effect at the top of the distribution and a detrimental (anti-rise) effect at the bottom. Consequently, the difficulty of climbing the ladder is not exclusively a question of individual characteristics. Public policies could thus be implemented to improve information about individuals’ ability and job offers, and to design more efficient wage-setting institutions.     

APPLICATION OF PANEL DATA MODELS IN BENCHMARKING ANALYSIS OF THE ELECTRICITY DISTRIBUTION SECTOR*

ABSTRACT ** : This paper explores the application of several panel data models in measuring productive efficiency of the electricity distribution sector. Stochastic Frontier Analysis has been used to estimate the cost‐efficiency of 59 distribution utilities operating over a nine‐year period in Switzerland. The estimated coefficients and inefficiency scores are compared across three different panel data models. The results indicate that individual efficiency estimates are sensitive to the econometric specification of unobserved firm‐specific heterogeneity. This paper shows that alternative panel models such as the ‘true’ random effects model proposed by Greene (2005) could be used to explore the possible impacts of unobserved firm‐specific factors on efficiency estimates. When these factors are specified as a separate stochastic term, the efficiency estimates are substantially higher suggesting that conventional models could confound efficiency differences with other unobserved variations among companies. On the other hand, refined specification of unobserved heterogeneity might lead to an underestimation of inefficiencies by mistaking potential persistent inefficiencies as external factors. Given that specification of inefficiency and heterogeneity relies on non‐testable assumptions, there is no conclusive evidence in favour of one or the other specification. However, this paper argues that alternative panel data models along with conventional estimators can be used to obtain approximate lower and upper bounds for companies' efficiency scores.     

Middle Class,Government Effectiveness and Poverty in the EU: A Dynamic Multilevel Analysis

Using the 2008-2011 EU-Statistics on Income and Living Conditions data, we implement a dynamic three-level model to analyze poverty persistence in 26 EU countries. We isolate true state dependence phenomena by disentangling the effects of observed and unobserved heterogeneity at country level and employ cofactors not previously considered by the literature. Estimates show that unobserved heterogeneity across individuals remains large, even after explicitly controlling for the observable components of individual characteristics. The initial value of poverty has large effects on current poverty status but this effect is not uniform across countries. The risk of poverty is negatively related to the size of the structural middle class and to the level of structural social expenditure but it increases when lagged total public expenditure increases (with respect to the structural value). There is strong evidence of true state dependence.     

Non-linearities in euro area inflation persistence

This paper investigates the nature of inflation dynamics with a special focus on inflation persistence. Using data from euro area member-states we estimate dynamic non-linear panel models addressing in detail econometric issues concerning unobserved heterogeneity, genuine state dependence, and the initial conditions problem. After controlling for observed and unobserved heterogeneity, our results suggest that the degree of inflation persistence is genuine and varies depending on whether the inflation rate is too high, within the range of ECB's target of price stability, too low or negative. This implies that policies to stabilize inflation in the short run will have longer-run effects.     

A COMPUTATIONALLY PRACTICAL SIMULATION ESTIMATION ALGORITHM FOR DYNAMIC PANEL DATA MODELS WITH UNOBSERVED ENDOGENOUS STATE VARIABLES*

This article develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. Repeated sampling experiments on dynamic probit models with serially correlated errors indicate the estimator has good small sample properties. We apply the estimator to a model of female labor supply and show that the rarely used Polya model fits the data substantially better than the popular Markov model. The Polya model also produces far less state dependence and many fewer race effects and much stronger effects of education, young children, and husband's income on female labor supply decisions.     

HETEROGENEITY OR TRUE STATE DEPENDENCE IN POVERTY: THE TALE TOLD BY TWINS

The purpose of this study is to distinguish between two different reasons that poverty could persist on an individual level. This study takes advantage of the similarity within pairs of identical twins to separate family‐specific heterogeneity from true state dependence, where the experience of poverty leads to a higher risk of future poverty. The results, based on a four‐variate probit model, show the importance of true state dependence in poverty. When using a poverty measure based on disposable income, family‐specific heterogeneity explains between 21 and 25 percent of poverty persistence in the Swedish sample of twins.     

True versus spurious state dependence in firm performance

This paper analyzes the persistence of firms’ exporting behavior in a panel of German manufacturing firms using dynamic binary choice models. We distinguish between true and spurious state dependence in exports and apply fixed effects methods that allow us to verify the robustness of our results to critical assumptions on firms’ initial export status. We find robust evidence of state dependence in the current export status of firms. We also document an important role of unobserved permanent firm heterogeneity (spurious state dependence) and quantify the relative importance of different export determinants. Our results, which are consistent with the findings of previous studies on firms in developing countries and in the United States, show the presence of important sunk costs in export market entry and a depreciation of knowledge and experience in export markets. This paper benefitted substantially from three anonymous referees and Bernd Fitzenberger, one of the editors of this journal. The authors wish to thank the Centre for European Economic Research (ZEW), Mannheim, for its hospitality during the time this study was carried out. Both authors gratefully acknowledge helpful comments received at a workshop hosted by the Centre for Applied Microeconometrics, University of Copenhagen workshop, especially those from Bo Honoré. Useful discussions with Georg Licht also lead to improvements of this paper. We thank Ken Chay for sharing Gauss codes used in parts of the paper. Lastly, we would like to thank Bettina Peters, a member of the ZEW team that compiles the data set used in this study, for data guidance and numerous helpful comments. The activities of the Centre for Applied Microeconometrics are financed by a grant from the Danish National Research Foundation.     

Union membership and employment dynamics

This note examines the behavior of a monopoly union that cares about its future membership and recognizes the dynamic dependence of membership on employment. A characterization is given both of the steady state and of the interdependent employment and membership dynamics out of that steady state.     

Panel data inference under spatial dependence

This paper focuses on inference based on the standard panel data estimators of a one-way error component regression model when the true specification is a spatial error component model. Among the estimators considered, are pooled OLS, random and fixed effects, maximum likelihood under normality, etc. The spatial effects capture the cross-section dependence, and the usual panel data estimators ignore this dependence. Two popular forms of spatial autocorrelation are considered, namely, spatial autoregressive random effects (SAR-RE) and spatial moving average random effects (SMA-RE). We show that when the spatial coefficients are large, test of hypothesis based on the standard panel data estimators that ignore spatial dependence can lead to misleading inference.     

Robust tests for time-invariant individual heterogeneity versus dynamic state dependence

We derive tests for persistent effects in a general linear dynamic panel data context. Two sources of persistent behavior are considered: time-invariant unobserved factors (captured by an individual random effect) and dynamic persistence or “state dependence” (captured by autoregressive behavior). We will use a maximum likelihood framework to derive a family of tests that help researchers learn whether persistence is due to individual heterogeneity, dynamic effect, or both. The proposed tests have power only in the direction they are designed to perform, that is, they are locally robust to the presence of alternative sources of persistence, and consequently, are able to identify which source of persistence is active. A Monte Carlo experiment is implemented to explore the finite sample performance of the proposed procedures. The tests are applied to a panel data series of real GDP growth for the period 1960–2005.     

Grouped coefficients to reduce bias in heterogeneous dynamic panel models with small T

We propose the grouped coefficients estimator to reduce bias in dynamic panels with small T that have a multilevel structure to the coefficient and factor loading heterogeneity. If groups are chosen such that the within-group heterogeneity is small, then the grouped coefficients estimator can lead to substantial bias reduction compared to pooled GMM dynamic panel estimators. We also propose using a Wald test that can be used to assess whether pooled estimators suffer from heterogeneity bias. We illustrate the usefulness of grouped coefficients with an application to labour demand in which the coefficients are grouped by sub-sector. Our results suggest that the standard pooled estimates are substantially biased.     

Nonparametric estimation of a dependent competing risks model for unemployment durations

In this paper we simultaneously analyze transitions from unemployment to employment and to nonparticipation. We estimate a dependent competing risks model with nonparametric specifications of the destination-specific duration dependence and unobserved heterogeneity terms, allowing for mutual dependence of the unobserved heterogeneity terms. We use an administrative data set covering all registered French unemployed over the period 1988–1994, stratified by gender type, duration class and exit state. We thank the Editor and three anonymous referees for their useful comments. A preliminary version of this paper was distributed under the title “Individual variation in exit rates from unemployment: a nonparametric multivariate analysis using aggregate data”. The Département de Marché du Travail of the Ministère du Travail, de l’Emploi et de la Formation Professionelle of France kindly provided the data.     

An analysis of the determinants of job satisfaction when individuals’ baseline satisfaction levels may differ

A growing literature seeks to explain differences in individuals’ self-reported satisfaction with their jobs. The evidence so far has mainly been based on cross-sectional data and when panel data have been used, individual unobserved heterogeneity has been modelled as an ordered probit model with random effects. This article makes use of longitudinal data for Denmark, taken from the waves 1995–1999 of the European Community Household Panel, and estimates fixed effects ordered logit models using the estimation methods proposed by Ferrer-i-Carbonel and Frijters (2004) and Das and van Soest (1999). For comparison and testing purposes a random effects ordered probit is also estimated. Estimations are carried out separately on the samples of men and women for individuals’ overall satisfaction with the jobs they hold. We find that using the fixed effects approach (that clearly rejects the random effects specification), considerably reduces the number of key explanatory variables. The impact of central economic factors is the same as in previous studies, though. Moreover, the determinants of job satisfaction differ considerably between the genders, in particular once individual fixed effects are allowed for.     

Dynamics of female labour force participation in France

This article formulates and estimates a structural intertemporal model of labour force participation. Relying on theoretical characterizations derived from an economic model of lifetime behaviour, we estimate a dynamic probit model with correlated random effects using longitudinal data to allow for a dynamic structure. The model is applied to a panel of married women drawn from the 1997–2002 French Labour Force surveys in order to represent their participation behaviour. It is estimated by maximum simulated likelihood. Our results show that women’s decisions to go out to work are characterized by significant state dependence, unobserved heterogeneity and negative serial correlation in the transitory error component. In addition, we find that the presence of young children in a woman’s household reduces her labour participation, but unequally according to their age and number. As expected, educational level has a positive impact on women’s participation. Last, a rise in the husband’s wage is found to raise female participation initially and to lower it subsequently. This empirical finding suggests that leisure may not systematically be a normal good, contrary to what is frequently assumed in the literature.     

Simulation-based inference in dynamic panel probit models: An application to health

This paper considers the determinants of a binary indicator for the existence of functional limitations using seven waves (1991–1997) of the British Household Panel Survey (BHPS). The focal point of our analysis is the contributions of state dependence, heterogeneity and serial correlation in explaining the dynamics of health. To investigate these issues we apply static and dynamic panel probit models with flexible error structures. To estimate the models we use maximum simulated likelihood (MSL) with antithetic acceleration and implement a recently proposed test for the existence of asymptotic bias. The dynamic models show strong positive state dependence. Data from the British Household Panel Survey (BHPS) were supplied by the ESRC Data Archive. Neither the original collectors of the data nor the Archive bear any responsibility for the analysis or interpretations presented here. Funding was provided by the ESRC award no: R000238169-Simulation-based econometric approaches to investigating the interaction of lifestyle and health. The authors would like to thank William Greene for valuable comments on an earlier draft of the paper, Roberto Leon Gonzalez for valuable programming advice, and participants at the iHEA Third International conference, York, 22–25 July 2001 and York Seminars in Health Econometrics (YSHE) for their comments.     

Misspecification in Dynamic Panel Data Models and Model‐Free Inferences

This paper discusses the issue of model misspecification and model‐free methods in dynamic panel data analysis. We primarily review existing results, but also provide several new results. When the dynamics are homogeneous, we show that several widely used estimators for panel first‐order autoregressive AR(1) models converge to first‐order autocorrelation, even under misspecification. Under heterogeneity, these estimators converge to the ratio of the means of the first‐order autocovariances and variances. We also discuss the estimation of autocovariances, the estimation of panel AR(∞) models, and the estimation of the distribution of the heterogeneous mean and autocovariances.     

Poverty and social exclusion: two sides of the same coin or dynamically interrelated processes?

There is growing interest in the analysis and measurement of social exclusion, to complement the static and dynamic literature on income poverty. On theoretical grounds, social exclusion and income poverty are seen as different processes, but with closely interrelated dynamics. However, our empirical understanding of the way these two processes dynamically interact at the individual level is still very limited. To shed some light on the issue, we use a dynamic bivariate probit model, controlling for unobserved heterogeneity and Wooldridge (2005)-type initial conditions. Both the first- and second-order Markov dynamics are examined. We estimate the model using the Italian sample of the European Community Household Panel (ECHP), waves 1–8, and find a sizable extent of state dependence in both poverty and social exclusion. Moreover, there are dynamic cross-effects implying that poverty and social exclusion are mutually reinforcing. Social policies aimed at eradicating poverty and avoiding individuals’ social and economic marginalization should take these interaction effects explicitly into account.     

Health care expenditure and income in the OECD reconsidered: Evidence from panel data

This paper reconsiders the long-run economic relationship between health care expenditure and income using a panel of 20 OECD countries observed over the period 1971–2004. In particular, the paper studies the non-stationarity and cointegration properties between health care spending and income. This is done in a panel data context controlling for both cross-section dependence and unobserved heterogeneity. Cross-section dependence is modelled through a common factor model and through spatial dependence. Heterogeneity is handled through fixed effects in a panel homogeneous model and through a panel heterogeneous model. Our findings suggest that health care is a necessity rather than a luxury, with an elasticity much smaller than that estimated in previous studies.