Life‐Cycle Consumption and Children: Evidence from a Structural Estimation

I estimate by maximum likelihood a dynamic model of optimal intertemporal allocation of consumption in the presence of children using high‐quality Danish longitudinal data. The number and age of all children can affect the marginal utility of consumption while income uncertainty, credit constraints and postretirement motives also influence household behaviour. While I estimate that children have a surprisingly small effect on the marginal utility of non‐durable consumption, data simulated from the estimated model replicates similar correlations between log consumption growth and changing household composition as found in the Danish data and typically found in UK and US data. To reconcile the results with existing studies, I illustrate how ignoring precautionary motives increases the estimated importance of children. The results indicate that precautionary motives might play a larger role than children in explaining the observed consumption age profile.     

Precautionary and Entrepreneurial Savings: New Evidence from German Households*

Various studies interpret the positive correlation between income risk and wealth as evidence of significant precautionary savings. However, these high estimates emerge from pooling non‐entrepreneurs and entrepreneurs, without controlling for heterogeneity. This article provides evidence for Germany based on representative panel data that includes private wealth balance sheets. Entrepreneurs, who face high income risk, hold more wealth than employees, but this tendency is not because of precautionary motives. Instead, they appear to save more for their old age, because they are usually not covered by statutory pension insurance. The analysis accounts for endogeneity in entrepreneurial choice and heterogeneous risk attitudes.     

The Effects of Consumption Variability on Saving: Evidence from a Panel of Muscovite Households**

Due to the high uncertainty characterizing them, transition economies provide an extraordinary opportunity to test the precautionary saving hypothesis. This paper represents an attempt to exploit this opportunity. We use a panel of 2,346 Muscovite households, over the 12 months of 1996, to construct two time‐varying measures of consumption growth variability, which we use as proxies for households’ perceived uncertainty. We then regress household saving on these uncertainty variables using a GMM‐system estimator. We find that both uncertainty measures generally have a positive and statistically significant effect on saving. This result, which is robust to the use of different measures of saving, supports the precautionary saving hypothesis.     

Bayes estimates of distance‐to‐market: transactions costs,cooperatives and milk‐market development in the Ethiopian highlands

Rationalizing non‐participation as a resource deficiency in the household, this paper identifies strategies for milk‐market development in the Ethiopian highlands. The additional amounts of covariates required for positive marketable surplus—‘distances‐to market’—are computed from a model in which production and sales are correlated; sales are left‐censored at some unobserved threshold; production efficiencies are heterogeneous; and the data are in the form of a panel. Incorporating these features into the modeling exercise is important because they are fundamental to the data‐generating environment. There are four reasons. First, because production and sales decisions are enacted within the same household, both decisions are affected by the same exogenous shocks, and production and sales are therefore likely to be correlated. Second, because selling involves time and time is arguably the most important resource available to a subsistence household, the minimum sales amount is not zero but, rather, some unobserved threshold that lies beyond zero. Third, the potential existence of heterogeneous abilities in management, ones that lie latent from the econometrician's perspective, suggest that production efficiencies should be permitted to vary across households. Fourth, we observe a single set of households during multiple visits in a single production year. The results convey clearly that institutional and production innovations alone are insufficient to encourage participation. Market‐precipitating innovation requires complementary inputs, especially improvements in human capital and reductions in risk. Copyright © 2008 John Wiley & Sons, Ltd.     

ESTIMATION OF CENSORED PANEL‐DATA MODELS WITH SLOPE HETEROGENEITY

This paper considers estimation of censored panel‐data models with individual‐specific slope heterogeneity. The slope heterogeneity may be random (random slopes model) or related to covariates (correlated random slopes model). Maximum likelihood and censored least‐absolute deviations estimators are proposed for both models. The estimators are simple to implement and, in the case of maximum likelihood, lead to straightforward estimation of partial effects. The rescaled bootstrap suggested by Andrews (Econometrica 2000; 68 : 399–405) is used to deal with the possibility of variance parameters being equal to zero. The methodology is applied to an empirical study of Dutch household portfolio choice, where the outcome variable (portfolio share in safe assets) has corner solutions at zero and one. As predicted by economic theory, there is strong evidence of correlated random slopes for the age profiles, indicating a heterogeneous age profile of portfolio adjustment that varies significantly with other household characteristics. Copyright © 2013 John Wiley & Sons, Ltd.     

Poverty Dynamics of Households in Rural China

The objective of our study is to identify patterns and causes of households' transitions into and out of poverty using the long household panel data on rural China in 1989–2009. We propose a discrete‐time multi‐spell duration model that not only corrects for unobserved heterogeneity, but also addresses the endogeneity due to dynamic selection associated with household's livelihood strategies. The household choosing farming or out‐migration as a main livelihood strategy was more likely to escape from persistent poverty than those taking local non‐agricultural employment. The present study emphasizes the central role of agriculture in helping the chronically poor escape from poverty.     

Identification and estimation of a class of household production models

We consider a class of household production models characterized by a dichotomy property. In these models the amount of time spent on household production does not depend on the household utility function, conditional on household members having a paid job. We analyse the (non‐parametric) identifiability of the production function and the so‐called jointness function (a function describing which part of household production time is counted as pure leisure). It is shown that the models are identified in the two‐adult case, but not in the single‐adult case. We present an empirical application to Swedish time‐allocation data. The estimates satisfy regularity conditions that were violated in previous studies and pass various specification tests. For this data set we find that male and female home production time are q‐substitutes. Copyright © 2003 John Wiley & Sons, Ltd.     

Durable Purchases over the Later Life Cycle

We investigate life‐cycle patterns of demand for services from household durables using UK panel data. We take careful account of prices, demographics, labour supply and health. Demand for consumer electronics rises with age, while the demand for household appliances is flat. These findings contrast with the well documented decline in non‐durable consumption at older ages, and suggest that studies that estimate the overall discount rate from nondurable consumption may underestimate consumer patience and the savings required to fund retirement. We also find important non‐separabilities between the demand for durables, labour supply and health status.     

Half‐panel jackknife fixed‐effects estimation of linear panels with weakly exogenous regressors

This paper considers estimation and inference in linear panel regression models with lagged dependent variables and/or other weakly exogenous regressors when N (the cross‐section dimension) is large relative to T (the time series dimension). It allows for fixed and time effects (FE‐TE) and derives a general formula for the bias of the FE‐TE estimator which generalizes the well‐known Nickell bias formula derived for the pure autoregressive dynamic panel data models. It shows that in the presence of weakly exogenous regressors inference based on the FE‐TE estimator will result in size distortions unless N/T is sufficiently small. To deal with the bias and size distortion of the FE‐TE estimator the use of a half‐panel jackknife FE‐TE estimator is considered and its asymptotic distribution is derived. It is shown that the bias of the half‐panel jackknife FE‐TE estimator is of order T^?2, and for valid inference it is only required that N/T³→0, as N,T→∞ jointly. Extension to unbalanced panel data models is also provided. The theoretical results are illustrated with Monte Carlo evidence. It is shown that the FE‐TE estimator can suffer from large size distortions when N>T, with the half‐panel jackknife FE‐TE estimator showing little size distortions. The use of half‐panel jackknife FE‐TE estimator is illustrated with two empirical applications from the literature.     

Entrepreneurs Seeking Gains: Profit Motives and Risk Aversion in Inventors’ Commercialization Decisions

Direct evidence has been lacking on entrepreneurs’ response to individual‐specific opportunities, and recent work suggests that entrepreneurship may be a non‐profit‐seeking activity and that entrepreneurs evaluate risk oddly. We model heterogeneous inventors and inventions, outside opportunities, sunk and nonsunk costs, and risk, to guide data analysis. We use assessment data from a center paid to assess the inventions’ economic potential. Inventors’ choices whether to commercialize their inventions and later whether to remain in production were consistent with profit‐seeking motives and risk aversion.     

The effect of household characteristics on living standards in South Africa 1993–1998: a quantile regression analysis with sample attrition

This paper examines whether the dismantling of apartheid has resulted in an improvement in the standard of living for the vast majority of South Africans. The study is based on a panel data set from the Kwazulu‐Natal province. We use weighted quantile regressions to examine the distribution of standards of living, which corrects for the potential bias arising from non‐random sample attrition. Our results show that there has been a significant increase in the spread of the distribution of household expenditure of the non‐white households residing in Kwazulu‐Natal province. Copyright © 2006 John Wiley & Sons, Ltd.     

The Low‐Pay No‐Pay Cycle: Are There Systematic Differences across Demographic Groups?

We investigate transitions between unemployment, low‐paid employment and higher‐paid employment using dynamic panel data methods applied to household panel data. We find state dependence in both unemployment and low‐paid employment and evidence of a low‐pay no‐pay cycle. However, we also find significant differences in effects across population subgroups. Typically, the young and better‐educated face lower penalties from unemployment and low‐paid employment. Further, low‐paid employment is preferable to unemployment for women regardless of their demographic characteristics, but for men who have only completed secondary schooling, low‐paid employment actually decreases the chances of entering higher‐paid employment by more than does unemployment.     

Bubbles and Crises: The Role of House Prices and Credit

This paper utilizes quarterly panel data for 20 OECD countries over the period 1975:Q1–2014:Q2 to explore the importance of house prices and credit in affecting the likelihood of a financial crisis. Estimating a set of multivariate logit models, we find that booms in credit to both households and non‐financial enterprises are important to account for when evaluating the stability of the financial system. In addition, we find that global housing market developments have predictive power for domestic financial stability. Finally, econometric measures of bubble‐like behavior in housing and credit markets enter with positive and highly significant coefficients. Specifically, we find that the probability of a crisis increases markedly when bubble‐like behavior in house prices coincides with high household leverage. Copyright © 2016 John Wiley & Sons, Ltd.     

Offshoring and job loss fears: An econometric analysis of individual perceptions

We quantify the impact of offshoring and other globalisation measures on individual perceptions of job security. For the analysis we combine industry-level offshoring measures with micro-level data from a large German household panel survey and estimate ordinal fixed effects models. Our results indicate that offshoring to low-wage countries significantly raises job loss fears whilst offshoring to high-wage countries somewhat lowers them. Over our sample period from 1995 to 2006, offshoring to low and high-wage countries together can account for about 13% of the total increase in job loss fears. High-skilled workers are more sensitive to offshoring although their objective job loss risk is lower relative to low-skilled workers, which we argue reflects the fact that they have more to lose from unemployment.     

Unemployment and liquidity constraints

We present a dynamic framework for the interaction between borrowing (liquidity) constraints and deviations of actual hours from desired hours, both measured by discrete‐valued indicators, and estimate it as a system of dynamic binary and ordered probit models with panel data from the Panel Study of Income Dynamics. We analyze a household's propensity to be liquidity constrained by means of a dynamic binary probit model. We analyze qualitative aspects of the conditions of employment, namely whether the household head is involuntarily overemployed, voluntarily employed, or involuntarily underemployed or unemployed, by means of a dynamic ordered probit model. We focus on the possible interaction between the two types of constraints. We estimate these models jointly using maximum simulated likelihood, where we allow for individual random effects along with an autoregressive process for the general error term in each equation. A novel feature of our method is that it allows for the random effects to be correlated with regressors in a time‐invariant fashion. Our results provide strong support for the basic theory of constrained behavior and the interaction between liquidity constraints and exogenous constraints on labor supply. Copyright © 2007 John Wiley & Sons, Ltd.     

Alternative Approaches to Multilevel Modelling of Survey Non‐Contact and Refusal

We review three alternative approaches to modelling survey non‐contact and refusal: multinomial, sequential, and sample selection (bivariate probit) models. We then propose a multilevel extension of the sample selection model to allow for both interviewer effects and dependency between non‐contact and refusal rates at the household and interviewer level. All methods are applied and compared in an analysis of household non‐response in the United Kingdom, using a data set with unusually rich information on both respondents and non‐respondents from six major surveys. After controlling for household characteristics, there is little evidence of residual correlation between the unobserved characteristics affecting non‐contact and refusal propensities at either the household or the interviewer level. We also find that the estimated coefficients of the multinomial and sequential models are surprisingly similar, which further investigation via a simulation study suggests is due to non‐contact and refusal having largely different predictors.     

Heterogeneity in Labour Supply Responses: Evidence from a Major Tax Reform

We use a large and rich administrative household panel data set to estimate labour supply responses for a large number of subgroups in the Netherlands. The identification of the parameters benefits from a major tax reform in the data period. We uncover large differences in behavioural responses. In particular, we find differences in labour supply responses between households with and without children that are much bigger than suggested by previous studies that had to pool these household types in the estimation of preferences. An efficient tax‐benefit system should take the substantial heterogeneity in behavioural responses into account.     

Penalized Quantile Regression with Semiparametric Correlated Effects: An Application with Heterogeneous Preferences

This paper proposes new ?₁‐penalized quantile regression estimators for panel data, which explicitly allows for individual heterogeneity associated with covariates. Existing fixed‐effects estimators can potentially suffer from three limitations which are overcome by the proposed approach: (i) incidental parameters bias in nonlinear models with large N and small T ; (ii) lack of efficiency; and (iii) inability to estimate the effects of time‐invariant regressors. We conduct Monte Carlo simulations to assess the small‐sample performance of the new estimators and provide comparisons of new and existing penalized estimators in terms of quadratic loss. We apply the technique to an empirical example of the estimation of consumer preferences for nutrients from a demand model using a large transaction‐level dataset of household food purchases. We show that preferences for nutrients vary across the conditional distribution of expenditure and across genders, and emphasize the importance of fully capturing consumer heterogeneity in demand modeling. Copyright © 2016 John Wiley & Sons, Ltd.