Retirement Status and State Dependence: A Longitudinal Study of Older Men

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.

In this paper we develop a general class of dynamic brand choice models, called Lightning Bolt (LB) models, which are consistent with the theory of random utility maximization of consumer choice behavior. The underlying random utility process is Markov, and the inter-temporal evolution of the (utility-maximizing) brand choice process is also Markov. The models permit parsimonious parameterizations of the random utility process in brand choices with the resulting switching probabilities being functionally related to explanatory variables. The model allows for structural state dependence (feedback), habit persistence (inertia), and unobserved heterogeneity. The theoretical development shows that several well known stochastic brand choice models can be deduced from random utility maximization theory. From a managerial perspective, the usefulness of the proposed model stems from its ability to separate out the effects of habits, state dependence and heterogeneity. Strong state dependence effects imply incentives for inducing trial of a brand (e.g., product sampling). In contrast with state dependence, a strong habit persistence effect may be indicative of buyer behavior where inducement of trial of a different brand may not be sufficient to maintain a (sustained) defection of the consumer from the habitually purchased brand to the trial brand. Failure to distinguish between these two effects has important implications. For example, a model that only accounts for state dependence effects would, in the presence of only habit persistence, incorrectly attribute it to state dependence. Based on this the manager could decide to embark on an expensive sampling program that might prove ineffective due to the absence of state dependence. It is also important to distinguish between the effects of unobserved heterogeneity and state dependence. In the absence of true state dependence, failing to account for unobservable variations across households (such as differences in price sensitivities), results in the temporally persistent unobservable elements showing up as state dependence in the model. Hence, a manager may incorrectly opt for sampling as the appropriate marketing action, whereas, a couponing or price promotion strategy should have been preferred. We estimate the model parameters using the AC Nielsen household scanner panel data set on catsup purchases. Further, we investigate empirical techniques for overcoming the “initial conditions” problem that affects many dynamic models of brand choice. Through simulation analysis using the estimated parameters, we show that the calculated profitability of a promotion must take into account the multi-period impact due to state dependence. Further, we demonstrate how ignoring heterogeneity can result in spurious state dependence, thereby making marketing tactics such as product sampling appear far more attractive than they actually are. Specifically, the model that accounts only for habit persistence and state dependence effects predicts a share increase of 2.4% points through sampling for one of the brands in the empirical analysis. Once the effects of unobserved heterogeneity are accounted for, however, this number drops precipitously to 0.3%. While even this low number might fulfill the objectives of the brand manager, it ensures that expectations are not eight times that number. It is important to note that this paper is a first attempt at analyzing the three fundamental dimensions of dynamic brand choice behavior. Our formulation represents a “reduced form” approach as opposed to a “structural” approach. Other limitations of the model include our focus on time-invariant choice sets. Extensions of the model to situations where choice sets vary over time are possible, but are difficult. Another limitation is the dependence on multivariate extreme value distributions. An alternative would be to use multivariate normal distributions, i.e., a probit-like structure which has certain useful properties. A comparison of the two approaches would be useful. Empirical extensions of the model to allow for higher-order processes and nested logit type model structures could also be fruitful. Explicitly incorporating variety-seeking behavior in the model would further enrich the theoretical framework proposed in this paper.

We investigate the factors underlying poverty transitions in Nairobi’s slums focusing on whether differences in characteristics make people more prone to enter poverty and persist in, or whether past experience of poverty matters on future states. Understanding these issues is essential for the design of effective policy programs aimed at enhancing the lives of the poor. The paper uses an endogenous switching model, which accounts for initial conditions, non-random attrition, and unobserved heterogeneity.Estimations are based on a panel dataset from the Nairobi Demographic Surveillance System. Results indicate that true state dependence (TSD) constitutes the major factor driving poverty persistence. There are little heterogeneity effects. Even when household and individual observed characteristics differ notably, the TSD size remains very large. Active anti-poverty programs aimed at breaking the cycle of poverty constitute then the most appropriate policies for taking people out of poverty and preventing them to fall back in.

State dependence in the incidence of strikes: Evidence from Canadian contract data using Heckman’s dynamic probit model

Does Solo Self-Employment Serve as a 'Stepping Stone' to Employership?

In many advanced welfare states, welfare recipients often receive benefits for long periods. This persistence of welfare receipt can be caused by two distinct mechanisms: genuine or spurious state dependence. Knowledge of which of the two mechanisms drives the observed state dependence is important because the policy implications are different. Most of the empirical evidence on state dependence relies on survey data. However, survey data on welfare receipt are subject to substantial measurement error (i.e., misreporting of welfare benefit receipt), which may also bias state dependence estimates. This paper uses rich linked survey and administrative data to measure the effect of misreporting in the survey data on the estimated state dependence in welfare receipt in Germany. We find a rate of underreporting of welfare benefits of 8.6%. Recipients with relatively good labour market chances tend to underreport benefits more frequently. Overreporting benefits is less pronounced with a rate of 1.6%. Within the survey data, we observe more transitions into and out of the welfare system. However, our estimates of state dependence in welfare receipt based on a dynamic random effects model reveal that the effect of misreporting on estimated state dependence is small, even when we distinguish between working and non-working recipients in the model.

This study proposes a simple estimator for dynamic choice models with continuous unobserved heterogeneity, state dependence induced by a first-order Markov process, and lagged choice coefficients that are not brand specific. As opposed to the estimator most frequently used in marketing studies, which drops the first choice of each panelist, this estimator keeps that choice in the estimation sample but ignores the impact of presample choices on first observed choice. The proposed method presents major advantages over dropping the first observation: (1) it yields low bias estimates for state dependence coefficients and, thus, it can be used to assess the presence and the magnitude of state dependence; (2) it is informative about the magnitude of bias in its estimates; and (3) it yields substantially and significantly smaller biases. The results of this study can be used to determine if the proposed method is suitable for specific applications on real data.

A vulnerable status during the passage to adulthood is linked to a higher risk of adverseoutcomes later in life. This study provides a longitudinal perspective on young people’s labormarket integration by analyzing the dynamics of being Not in Employment, Education, orTraining (NEET). We focus on entry in and persistence of being NEET over time, namely statedependence, using correlated dynamic random-effects logit models to study the effect of thepast on the current NEET status. We analyze full-population individual-level data fromFinland, with follow-up from age 19 to 29 between 2001 and 2020. Findings suggest clear statedependence: being NEET in the previous year is associated with a 10-percentage-point increasein the probability of being NEET in the current year. State dependence is moderately elevatedfor men and those with lower parental education, and considerably elevated for individuals offoreign origin or with a history of mental health issues or child protection services. OlderNEETs are more prone to state dependence than younger ones, and state dependence wasstronger in 2011–2020 than in 2001–2010. Our results suggest diverging mechanisms drivingaccumulation of (dis)advantages during the labor market entry and highlight the need forpreventive policies.

Based on the two knowledge dimensions of availability and accessibility, this study investigates the influence of cooperation with external organizations on technological, product, and process innovations. Using longitudinal data from Spanish manufacturing firms, we estimate dynamic random-effects probit models and thus take into account that technological innovations exhibit persistent behavior. We find that cooperation with suppliers and universities is positively associated with both product and process innovations. However, sectoral analysis according to technological intensity reveals that cooperation with suppliers increases the propensity to technological innovation in industries with a higher degree of technological intensity, while cooperation with universities increases the likelihood of innovation in industries with a lower degree of technological intensity. Moreover, empirical results indicate a high degree of true or genuine state dependence in both types of innovations. Based on these findings, we discuss the theoretical, managerial, and policy implications of the study.

Since FY 2013, as a part of the Affordable Care Act (ACA) program, the Hospital Value-Based Purchasing (HVBP) program has adjusted Medicare’s payments to hospitals based on the total performance score of the hospital. First, the program reduces a portion of the hospital’s Medicare payments in a specific fiscal year, and then, by the end of the same fiscal year, the amount of the payment reductions will be awarded to the hospitals based on the total performance score; thus, the hospitals that do not receive the reward will lose the portion of money reduced by Medicare. In this research, we apply the theory of state dependence and use the dynamic random effect probit model to estimate this effect. The results show that the hospital payment adjustment dynamics have a very significant state dependence effect (0.341); this means that hospitals that received a reward in the previous year are 34.1% more likely to receive a reward this year than the ones that received a penalty in the previous year. Meanwhile, we also find that the state dependence effect varies significantly across hospitals with different ownership (proprietary/government owned/voluntary nonprofit), and the results show that voluntary nonprofit hospitals exhibit the largest effect of state dependence (0.370), while government-owned hospitals exhibit the lowest effect of state dependence (0.293), and proprietary hospitals are in the middle. Among the factors that influence the likelihood that a hospital receives a reward, we find that teaching hospitals with a large number of beds (>400) are less likely be rewarded; in terms of ownership, we find that voluntary nonprofit hospitals are more likely be rewarded; in terms of demographic factors, hospitals where the average household income are higher within the region are more likely be rewarded.

ECS-induced amnesia: Retention function consistent with state dependency predictions

In this paper, we study the dynamics of social assistance benefit receipt in Germany using annual survey data from the German Socio-Economic Panel (SOEP) for the years 1995-2011. Rates of benefit receipt were stable in Germany at around 8% in the 1990s but started rising in 2001 to peak at over 12% in 2006. We show that this increase in the receipt rate can be attributed to lower exit rates from benefit receipt since 2001. In the econometric part of the paper, we study state dependence in social assistance benefit receipt, i.e. the question to what extent benefit receipt today predicts the probability of future benefit receipt. We estimate a series of dynamic random-effects probit models that control for unobserved heterogeneity and endogeneity of the initial conditions and indeed find considerable evidence of state dependence. Our estimates suggest that benefit receipt one year ago raises the likelihood of benefit receipt today by a factor of 3, which corresponds to an average partial effect of about 14 percentage points. The level of state dependence differs between subsamples and is larger in absolute terms for women, Eastern German residents, and migrants, for whom receipt rates are higher. Studying variations over time, we find a rise in the level of state dependence after the 2005 Hartz reforms in Eastern Germany. We attribute this effect to a drop in average predicted entry rates into benefit receipt without a corresponding fall in predicted benefit persistence rates. We do not identify any comparable change in structural dependence for Germany as a whole or other subsamples we look at. Since a reform that contributes to keeping individuals off benefits while doing little to raise exit rates would increase state dependence but might nonetheless be considered as beneficial, our findings should not be understood as a verdict on the success or failure of the Hartz reforms.

Time Aggregation and State Dependence in Welfare Receipt

Two key issues in the literature on female labor supply are (i) whether persistence in employment status is due to unobserved heterogeneity or state dependence, and (ii) whether fertility is exogenous to labor supply. Until recently, the consensus was that unobserved heterogeneity is very important and fertility is endogenous. Hyslop (1999) challenged this. Using a dynamic panel probit model of female labor supply including heterogeneity and state dependence, he found that adding autoregressive errors led to a substantial diminution in the importance of heterogeneity. This, in turn, meant he could not reject that fertility is exogenous. Here, we extend Hyslop (1999) to allow classification error in employment status, using an estimation procedure developed by Keane and Wolpin (2001) and Keane and Sauer (2005). We find that a fairly small amount of classification error is enough to overturn Hyslop's conclusions, leading to overwhelming rejection of the hypothesis of exogenous fertility. © 2009 The Econometric Society.

Disability and Multi-State Labour Force Choices with State Dependence