Can child care policy encourage employment and fertility?: Evidence from a structural model

We develop a structural model of female employment and fertility which accounts for intertemporal feedback effects between these two outcomes. To identify the effect of financial incentives on employment and fertility we exploit variation in the tax and transfer system, which differs by employment state and number of children. Specifically, we simulate in detail the effects of the tax and transfer system, including child care costs. The model provides estimates of the structural preferences of women that can be used to study the effect of various policy reforms. Results show that increasing child care subsidies, conditional on employment, increases the labor supply of all women as well as the fertility rates of the childless and highly educated women.     

The geographic accessibility of child care subsidies and evidence on the impact of subsidy receipt on childhood obesity

This paper examines the impact of the spatial accessibility of public human services agencies on the likelihood of receiving a child care subsidy among disadvantaged mothers with young children. In particular, we collect data on the location of virtually every human services agency in the US and use this information to calculate the approximate distance that families must travel from home in order to reach the nearest office that administers the subsidy application process. Using data from the Kindergarten cohort of the Early Childhood Longitudinal Study (ECLS-K), our results indicate that an increase in the distance to a public human services agency reduces the likelihood that a family receives a child care subsidy. Specifically, we estimate an elasticity of subsidy receipt with respect to distance of −0.13. The final section of the paper provides an empirical application in which we use variation in families’ travel distance to identify the causal effect of child care subsidies on children’s weight outcomes. Our instrumental variables estimates suggest that subsidized child care leads to sizeable increases in the prevalence of overweight and obesity among low-income children.     

Estimating the Consequences of Unintended Fertility for Child Health and Education in Romania: An Analysis Using Twins Data*

We use the natural experiment of twins at first birth to estimate the effects of unplanned fertility on the nutritional status and school enrolment of children in Romania, a country with a unique fertility history. A first‐birth twins shock has negative impacts on children's human capital investments, particularly for later‐born siblings. We infer that harsh pronatalist policies prior to the 1989 Revolution had adverse consequences for the human capital of Romanian children, and that policies to make fertility control easier will have significant positive impacts on children's health and schooling.     

Targeting fertility and female participation through the income tax

We evaluate the effect of a 2003 reform in the Spanish income tax on fertility and the employment of mothers with small children. The reform introduced a tax credit for working mothers with children under the age of three, while also increasing child deductions for all households with children. Theoretically, given the interplay of these two components, the expected effect of the reform is ambiguous on both outcomes. We find that the combined reforms significantly increased both fertility (by almost 5%) and the employment rate of mothers with children under three (by 2%). These effects were more pronounced among less-educated women. In addition, to disentangle the impact of the two reform components, we use an earlier reform that increased child deductions in 1999. We find that the child deductions affect mothers' employment negatively, which implies that the 2003 tax credit would have increased employment even more (up to 5%) in the absence of the change in child deductions.     

Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques

We analyze the effect of children on the labor supply of married women in a framework that accounts for the endogeneity of labor market and fertility decisions, for the heterogeneity of the effects of children and their correlation with the fertility decisions, and for the correlation of sequential labor market decisions. Women with stronger propensity for market work have fewer children, work more before the first birth, and face larger negative effects of children. The total effect of a child remains considerable long after birth; prior birth-related reductions in labor supply account for a significant share of the total effect.     

“双独”可生二孩政策影响下的生育率变化趋势研究——以陕西为例

本研究在测定陕西省独生子女规模与结构的基础上,结合生育模式、生育观念转变和育龄人口规模变动等情况,预测陕西省生育率变动趋势。研究发现:陕西省第一批独生子女已进入婚育高峰期;在"双独"可生二孩政策的作用下陕西省总和生育率将持续缓慢增长;"双独"二孩政策和育龄人口波动的合力形成了第四次出生人口高峰,因此人口计生将迎来新的挑战。     

A dynamic model of contraceptive choice of Spanish couples

We propose a simple dynamic stochastic model of sterilization and contraceptive use and we estimate its structural parameters using a sample of married couples from the 1995 Spanish Family and Fertility Survey. The estimated structural model improves on previous studies in terms of its ability to rationalize observed behaviour. Allowing for simple forms of permanent unobserved heterogeneity across couples in their ability to conceive has important implications for estimates of utility and cost parameters. Estimates of child valuation parameters imply that most Spanish couples would have two children, but significant deviations from this goal are brought about by imperfect and costly fertility control. We perform simulations to quantify the impact on fertility of the availability of sterilization and other technologies which improve fertility control. Copyright © 2006 John Wiley & Sons, Ltd.     

The Causal Effect of Education on Wages Revisited*

This study estimates the return to education in Britain using two instrumental variable (IV) estimators: one exploits variation in schooling associated with early smoking, the other uses the raising of the school leaving age; both affect a sizeable proportion of the sample. Early smoking is found to be a strong and valid IV and unlike previous IV strategies uses variations in education at numerous points across the distributions of (i) education, and (ii) ability. Thus whilst still a ‘local average treatment effect’ the estimate is closer to the average effect of additional education, akin to least squares but corrected for endogeneity.     

Matching and semi-parametric IV estimation, a distance-based measure of migration, and the wages of young men

Our paper estimates the effect of US internal migration on wage growth for young men between their first and second job. Our analysis of migration extends previous research by: (i) exploiting the distance-based measures of migration in the National Longitudinal Surveys of Youth 1979 (NLSY79); (ii) allowing the effect of migration to differ by schooling level and (iii) using propensity score matching to estimate the average treatment effect on the treated (ATET) for movers and (iv) using local average treatment effect (LATE) estimators with covariates to estimate the average treatment effect (ATE) and ATET for compliers.We believe the Conditional Independence Assumption (CIA) is reasonable for our matching estimators since the NLSY79 provides a relatively rich array of variables on which to match. Our matching methods are based on local linear, local cubic, and local linear ridge regressions. Local linear and local ridge regression matching produce relatively similar point estimates and standard errors, while local cubic regression matching badly over-fits the data and provides very noisy estimates.We use the bootstrap to calculate standard errors. Since the validity of the bootstrap has not been investigated for the matching estimators we use, and has been shown to be invalid for nearest neighbor matching estimators, we conduct a Monte Carlo study on the appropriateness of using the bootstrap to calculate standard errors for local linear regression matching. The data generating processes in our Monte Carlo study are relatively rich and calibrated to match our empirical models or to test the sensitivity of our results to the choice of parameter values. The estimated standard errors from the bootstrap are very close to those from the Monte Carlo experiments, which lends support to our using the bootstrap to calculate standard errors in our setting.From the matching estimators we find a significant positive effect of migration on the wage growth of college graduates, and a marginally significant negative effect for high school dropouts. We do not find any significant effects for other educational groups or for the overall sample. Our results are generally robust to changes in the model specification and changes in our distance-based measure of migration. We find that better data matters; if we use a measure of migration based on moving across county lines, we overstate the number of moves, while if we use a measure based on moving across state lines, we understate the number of moves. Further, using either the county or state measures leads to much less precise estimates.We also consider semi-parametric LATE estimators with covariates (Frölich 2007), using two sets of instrumental variables. We precisely estimate the proportion of compliers in our data, but because we have a small number of compliers, we cannot obtain precise LATE estimates.     

Bias corrections for two-step fixed effects panel data estimators

This paper introduces large-T bias-corrected estimators for nonlinear panel data models with both time invariant and time varying heterogeneity. These models include systems of equations with limited dependent variables and unobserved individual effects, and sample selection models with unobserved individual effects. Our two-step approach first estimates the reduced form by fixed effects procedures to obtain estimates of the time varying heterogeneity underlying the endogeneity/selection bias. We then estimate the primary equation by fixed effects including an appropriately constructed control variable from the reduced form estimates as an additional explanatory variable. The fixed effects approach in this second step captures the time invariant heterogeneity while the control variable accounts for the time varying heterogeneity. Since either or both steps might employ nonlinear fixed effects procedures it is necessary to bias adjust the estimates due to the incidental parameters problem. This problem is exacerbated by the two-step nature of the procedure. As these two-step approaches are not covered in the existing literature we derive the appropriate correction thereby extending the use of large-T bias adjustments to an important class of models. Simulation evidence indicates our approach works well in finite samples and an empirical example illustrates the applicability of our estimator.     

HOW DOES FEMALE EDUCATION AFFECT FERTLITY? A STRUCTURAL MODEL FOR THE CÔTE D'IVOIRE†

This research study provides some insights into methodological issues in modeling fertility and its proximate determinants. The aim is to examine the links between female schooling and fertility in the Ivory Coast. The article first presents a brief literature review on the effect of education on fertility, describes the data and choice of econometric models, and indicates in a reduced form model the estimates of the impact of education and other socioeconomic factors on age at cohabitation and duration of breast feeding. Data are obtained from the 1986 Cote d'Ivoire Living Standards Survey among women aged 16 years or older. A probit model is used to estimate the probability of a woman having given birth at least once. The Kaplan-Meier hazard rate (Meyer's method) is used to explain women's age at cohabitation as a function of her education, personal characteristics, and local factors such as wage rates an social service infrastructure. Duration of breast feeding is explained by household characteristics as well as cohabitation explanatory variables among a subsample of women with at least one birth. Findings from the age at cohabitation models indicate that results varied with choice of the hazard models. Controls for unobserved heterogeneity were important for estimating the effects of secondary education. Econometric techniques that captured the heaping in duration of breast feeding data did not improve the fit. Both breast feeding and education were endogenous to fertility. This means that women with more children tended to marry later and breast feed longer. Findings indicate that primary schooling had a weak impact on fertility and proximate determinants. Secondary schooling had a strong impact. Women with secondary schooling cohabited 4 years later and breast fed 8 months less than non-schooled women.     

New results on the effect of maternal work hours on children's overweight status: Does the quality of child care matter?

Existing empirical research on child overweight derives mainly from North America and points at rising maternal employment as an explanation for the increasing trend in child weight. These results cannot be replicated in Denmark, where an increase in maternal work hours does not increase the likelihood of weight problems for their children. This paper tests four possible explanations for this difference: (1) the effect of maternal employment on child obesity is heterogeneous and varies according to the country's weight distribution; (2) the quality of child care is on average higher in Denmark; (3) the counterfactual care provided by Danish mothers is of lower quality; and (4) Danish fathers contribute significantly to their children's health. This paper finds evidence consistent with the hypotheses that Danish child care and fathers play a significant role in explaining the absence of a significant relationship between maternal work hours and children's overweight status.     

Child maturation, time-invariant, and time-varying inputs: their interaction in the production of child human capital

We model the relationship over time between multiple good and bad inputs to the child development production process and the multiple good and bad outcomes which are generated. Doing this avoids several well-known empirical problems associated with construction and use of aggregated inputs and outputs, the assumption of separability among inputs and outputs, and the estimation of reduced forms. Using time-demeaned data for a balanced panel of families from the National Longitudinal Survey of Youth?CChild Sample for 1994?C2000, we estimate an output-oriented directional distance function that simultaneously relates good and bad inputs from home, school, and environment, to good and bad outcomes, measured as children??s math and reading test scores as well as parent-reported behavior problems. We are able for the first time to compute partial effects among endogenous outputs. Recovering consistent estimates of time-invariant coefficients using a second-stage estimator, we find that some time-invariant variables are significant. We also measure productivity growth, technical change, efficiency change, and technical efficiency. Children??s productivity growth is highest at age 5?years and diminishes thereafter. Finally, we investigate the effect on these estimates of the choice of alternative direction vectors for the good and bad outputs.     

Maternal employment,migration, and child development

We analyze the roles of and interrelationships among school inputs and parental inputs in affecting child development through the specification and estimation of a behavioral model of household migration and maternal employment decisions. We integrate information on these decisions with observations on child outcomes over a 13-year period from the National Longitudinal Study of Youth (NLSY). We find that the impact of our school quality measures diminishes by factors of 2 to 4 after accounting for the fact that families may choose where to live in part based on school characteristics and labor market opportunities. The positive statistical relationship between child outcomes and maternal employment reverses sign and remains statistically significant after controlling for its possible endogeneity. Our estimates imply that when parental responses are taken into account, policy changes in school quality end up having only minor impacts on child test scores.     

Housing tenure choice and the dual income household

Housing tenure choice has been the subject of a very large literature. Many treatments have sought to estimate the effect of household income on the likelihood of home ownership. To date, no study has ever disaggregated the household income of married couples into the separate labor income components to see if one partner’s income has a different effect than the other. Using a derived likelihood function to control for censoring in the wife’s income, this paper estimates the effect of separate incomes on housing tenure choice, accounting for possible endogeneity of the wife’s income. To compare the results of this estimation method, the paper also estimates the standard IV models, 2SLS and IV probit. While the results show that there is no endogeneity of the wife’s income, ignoring the censoring of the endogenous variable (when a large fraction of observations are censored) can possibly lead to biased coefficient estimates. Also, this paper confirms the importance of total household income, which has a larger effect than the total disaggregated components.     

Modeling and forecasting the time series of US fertility: age distribution,range, and ultimate level

This discussion of modeling focuses on the difficulties in longterm, time-series forecasting of US fertility. Four possibilities are suggested. One difficulty with the traditional approach of using high or low bounds on fertility and mortality is that forecast errors are perfectly correlated over time, which means there are no cancellation of errors over time. The shape of future fertility intervals first increases, then stabilizes, and then decreases instead of remaining stable. This occurs because the number of terms being averaged increases with horizontal length. Alho and Spencer attempted to reduce these errors in time-series. Other difficulties are the idiosyncratic behavior of age specific fertility over time, biological bounds for total fertility rates (TFR) of 16 and zero, the integration of knowledge about fertility behavior that narrows the bounds, the unlikelihood of some probability outcomes of stochastic models with a normally distributed error term, the small relative change in TFR between years, a US fertility cycle of about 40 years, unimportant extrapolation of past trends in child and infant mortality, and the unlikelihood of reversals in mortality and contraceptive use trends. Another problem is the unsuitability of longterm forecasts. New methods include a model which estimates a one parameter family of fertility schedules and then forecasts that single parameter. Another method is a logistic transformation to account for prior information on the bounds on fertility estimates; this method is similar to Bayesian methods for ARMA models developed by Monahan. Models include information on the ultimate level of fertility and assume that the equilibrium level is a stochastic process trending over time. The horizon forecast method is preferred unless the effects of the outliers are known. Estimates of fertility are presented for the equilibrium constrained and logistic transformed model. Forecasts of age specific fertility rates can be calculated from forecasts of the fertility index (a single time varying parameter). The model of fertility fits poorly at older ages but captures some of the wide swings in the historical pattern. Age variations are not accounted for very well. Longterm forecasts tell a great deal about the uncertainty of forecast errors. Estimates are too sensitive to model specification for accuracy and ignore the biological and socioeconomic context.     

Heterogeneous treatment effects: Instrumental variables without monotonicity?

Imbens and Angrist (1994) were the first to exploit a monotonicity condition in order to identify a local average treatment effect parameter using instrumental variables. More recently, Heckman and Vytlacil (1999) suggested the estimation of a variety of treatment effect parameters using a local version of their approach. We investigate the sensitivity of the respective estimates to random departures from monotonicity. Approximations to the respective bias terms are derived. In an empirical application the bias is calculated and bias corrected estimates are obtained. The accuracy of the approximation is investigated in a Monte Carlo study.     

Child-custody reform, marital investment in children, and the labor supply of married mothers

Research on child custody primarily focuses on the well-being of children following divorce. We extend this literature by examining how the prospect of joint child custody affects within-marriage investment in children through changes in household bargaining power. Variation in the timing of joint-custody reforms across states provides a natural-experiment framework with which to examine within-marriage investment in children. The probability of children's private school attendance declines by 12% in states that adopt joint-custody laws. We also find evidence linking joint-custody reform to higher rates of labor force participation for married mothers, which may indicate less time devoted household production.     

Protecting Education for the Poor in Times of Crisis: An Evaluation of a Scholarship Programme in Indonesia*

This paper analyses the impact of an Indonesian scholarship programme, which was implemented in 1998 to preserve access to education for the poor during the economic crisis. Scholarships were targeted pro-poor and the allocation process followed a decentralized design, involving both geographic and individual targeting. The identification strategy exploits this decentralized structure, relying on instrumental variables constructed from regional mistargeting at the initial phase of allocation. The programme has increased enrolment, especially for primary school-aged children from poor rural households. Moreover, the scholarships seem to have assisted households in smoothing consumption during the crisis, relieving pressure on households’ investments in education and utilization of child labour.