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1 – 10 of over 3000Kenneth Y. Chay and Dean R. Hyslop
We examine the roles of sample initial conditions and unobserved individual effects in consistent estimation of the dynamic binary response panel data model. Different…
Abstract
We examine the roles of sample initial conditions and unobserved individual effects in consistent estimation of the dynamic binary response panel data model. Different specifications of the model are estimated using female welfare and labor force participation data from the Survey of Income and Program Participation. These include alternative random effects (RE) models, in which the conditional distributions of both the unobserved heterogeneity and the initial conditions are specified, and fixed effects (FE) conditional logit models that make no assumptions on either distribution. There are several findings. First, the hypothesis that the sample initial conditions are exogenous is rejected by both samples. Misspecification of the initial conditions results in drastically overstated estimates of the state dependence and understated estimates of the short- and long-run effects of children on labor force participation. The FE conditional logit estimates are similar to the estimates from the RE model that is flexible with respect to both the initial conditions and the correlation between the unobserved heterogeneity and the covariates. For female labor force participation, there is evidence that fertility choices are correlated with both unobserved heterogeneity and pre-sample participation histories.
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Lorenzo Cappellari and Stephen P. Jenkins
We analyse the dynamics of social assistance benefit (SA) receipt among working-age adults in Britain between 1991 and 2005. The decline in the annual SA receipt rate was driven…
Abstract
We analyse the dynamics of social assistance benefit (SA) receipt among working-age adults in Britain between 1991 and 2005. The decline in the annual SA receipt rate was driven by a decline in the SA entry rate rather than by the SA exit rate (which also declined). We examine the determinants of these trends using a multivariate dynamic random effects probit model of SA receipt probabilities applied to British Household Panel Survey data. We show how the model may be used to derive year-by-year predictions of aggregate SA entry, exit and receipt rates. The analysis highlights the importance of the decline in the unemployment rate over the period and other changes in the socio-economic environment including two reforms to the income maintenance system in the 1990s and also illustrates the effects of self-selection (‘creaming’) on observed and unobserved characteristics.
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I study state dependence in social assistance receipt in Germany using annual survey data from the German Socio-Economic Panel for the years 1995–2011. There is considerable…
Abstract
I study state dependence in social assistance receipt in Germany using annual survey data from the German Socio-Economic Panel for the years 1995–2011. There is considerable observed state dependence, with an average persistence rate in benefits of 68 per cent comparing to an average entry rate of just above 3 per cent. To identify a possible structural component, I estimate a series of dynamic random-effects probit models that control for observed and unobserved heterogeneity and endogeneity of initial conditions. I find evidence of substantial structural state dependence in benefit receipt. Estimates suggest that benefit receipt one year ago is associated with an increase in the likelihood of benefit receipt today by a factor of 3.4. This corresponds to an average partial effect of 13 percentage points. Average predicted entry and persistence rates and the absolute level of structural state dependence are higher in Eastern Germany than in Western Germany. I find only little evidence for time variation in state dependence around the years of the Hartz reforms.
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Jorgen Hansen, Magnus Lofstrom, Xingfei Liu and Xuelin Zhang
This article analyzes transitions into and out of social assistance (SA) in Canada. We estimate dynamic probit models, controlling for endogenous initial conditions and unobserved…
Abstract
This article analyzes transitions into and out of social assistance (SA) in Canada. We estimate dynamic probit models, controlling for endogenous initial conditions and unobserved heterogeneity, using longitudinal data extracted from the Survey of Labour and Income Dynamics (SLID) for the years 1993–2010. The data indicate that there are substantial provincial differences in SA participation with higher participation rates in the eastern part of the country. However, since the mid-1990s, participation rates have fallen substantially in all provinces with only a modest increase at the end of the observation period. Results from the probit models suggest that there is a significant time dependency in social assistance, even after controlling for endogenous initial conditions and unobserved heterogeneity. The extent of this state dependence varies across provinces.
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Alessio Fusco and Nizamul Islam
This paper investigates the effect of household size, and in particular of the number of children of different age groups, on poverty, defined as being in a situation of low…
Abstract
This paper investigates the effect of household size, and in particular of the number of children of different age groups, on poverty, defined as being in a situation of low income. We apply various static and dynamic probit models to control for the endogeneity of the variables of interest and to account for unobserved heterogeneity, state dependence, and serially correlated error components. Using Luxembourg longitudinal data, we show that the number of children of different age groups significantly affects the probability of being poor. However, the magnitude of the effect varies across different specifications. In addition, we find strong evidence of true poverty persistency due to past experience, spurious poverty persistency due to individual heterogeneity, and transitory random shocks.
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Ruhama Bezerra Fernandes and Alexandro Barbosa
This paper aims to investigate the factors associated with the voluntary disclosure of integrated reporting (IR) in Brazil of the companies listed on the stock exchange – Brasil…
Abstract
Purpose
This paper aims to investigate the factors associated with the voluntary disclosure of integrated reporting (IR) in Brazil of the companies listed on the stock exchange – Brasil, Bolsa, Balcão. The cultural dimensions of a nation reflect different priorities in accounting practices. The Brazilian case, therefore, becomes significant, as Brazil is increasingly important in world markets.
Design/methodology/approach
As an explanatory econometric model, multinomial logistic regression was used (Y = 2 to describe the probability of the IR disclosure; Y = 1 to describe the occurrence of reports with practices similar to the IR and Y = 0 to describe the occurrence of non-disclosure of non-financial reports). Applied to panel data with random effects (chosen for best performance) in the period from 2016 to 2019.
Findings
Reveals the positive association of the company’s profitability and market-to-book with the probability of the IR disclosure. Regarding the board composition, it is suggested that size does not make a difference, with the greater participation of women and independence of directors associated with better probabilities of adopting the IR in Brazil.
Originality/value
This work is the first to characterize the Brazilian reality of voluntary disclosure, specifying the implementation of IR, compared to publishing reports similar to the IR and not reporting structured non-financial statements. It can also be considered the first study on the relevance of the board structure in the disclosure of IR by Brazilian companies. Finally, it contributes to the literature on IR adoption, bringing practical results in understanding the most favorable conditions in which the IR framework will be fully implemented.
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This chapter discusses the empirical application of a class of strategic network formation models, using the approach to identification introduced by de Paula, Richards-Shubik…
Abstract
This chapter discusses the empirical application of a class of strategic network formation models, using the approach to identification introduced by de Paula, Richards-Shubik, and Tamer (2018). The author emphasizes the interplay between model specification and computational complexity, and suggests tactics to make empirically realistic models become tractable. Two detailed examples, on friendship networks and coauthorship networks, are used to illustrate these issues and to demonstrate the performance of the approach with both simulation and empirical evidence. Also, the author presents extensions to the estimation method, which expand the potential range of applications, and which provide statistical inference with minimal computational burden.
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Top executive hubris is associated with positive/negative outcome. Little is known about the antecedent of hubris in top management team (TMT) and how they can be weakened to…
Abstract
Purpose
Top executive hubris is associated with positive/negative outcome. Little is known about the antecedent of hubris in top management team (TMT) and how they can be weakened to capitalize on TMT size and market complexity. This paper aims to address these issues.
Design/methodology/approach
This study draws on the social information processing theory. Subsequently, it proposes and tests an inverted U-shaped relationship between task-related faultlines and top executive hubris. Top management team size and complexity can weaken the relationship between them. Panel data were collected longitudinally from 2011 to 2016 on China's listed firm on growth enterprises board.
Findings
Hierarchical regression analyses indicate that medium task-related faultlines experience stronger than weak and strong faultlines. TMT size and market complexity can weaken the inverted U-shaped relationship between them.
Originality/value
This study provides pioneering evidence for an inverted U-shaped relationship between task-related faultlines and top executive hubris. These findings inform practice by suggesting a tipping point of team faultlines.
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Glenn W. Harrison and E. Elisabet Rutström
We review the experimental evidence on risk aversion in controlled laboratory settings. We review the strengths and weaknesses of alternative elicitation procedures, the strengths…
Abstract
We review the experimental evidence on risk aversion in controlled laboratory settings. We review the strengths and weaknesses of alternative elicitation procedures, the strengths and weaknesses of alternative estimation procedures, and finally the effect of controlling for risk attitudes on inferences in experiments.