Search results for "Panel Data"
showing 10 items of 172 documents
The Effects of IFRS Adoption on the Unconditional Conservatism of Spanish Listed Companies
2017
This paper analyses the effects on unconditional conservatism of the mandatory adoption of International Financial Reporting Standards (IFRS) by Spanish listed companies in January 2005. The lack of robustness in the previous evidence justifies analysing this issue from different perspectives. To this end, we use, for the first time in this context, Ahmed and Duellman’s methodology (J. Account. Econ., 2007). In its design, these authors consider the impact of growth options and other future incomes, controlling for the idiosyncratic factors that the literature has found to condition this type of conservatism. Additionally, beyond the pooled regression techniques usually used, we use econome…
Selection correction in panel data models: An application to the estimation of females' wage equations
2007
In recent years a number of panel estimators have been suggested for sample selection models, where both the selection equation and the equation of interest contain individual effects which are correlated with the explanatory variables. Not many studies exist that use these methods in practise. We present and compare alternative estimators, and apply them to a typical problem in applied econometrics: the estimation of the wage returns to experience for females. We discuss the assumptions each estimator imposes on the data, and the problems that occur in our applications. This should be particularly useful to practitioners who consider using such estimators in their own application. All esti…
Dealing with spatial data pooled over time in statistical models
2012
Recent developments in spatial econometrics have been devoted to spatio-temporal data and how spatial panel data structure should be modeled. Little effort has been devoted to the way one must deal with spatial data pooled over time. This paper presents the characteristics of spatial data pooled over time and proposes a simple way to take into account unidirectional temporal effect as well as multidirectional spatial effect in the estimation process. An empirical example, using data on 25,357 single family homes sold in Lucas County, OH (USA), between 1993 and 1998 (available in the MatLab library), is used to illustrate the potential of the approach proposed.
Modeling temporal treatment effects with zero inflated semi-parametric regression models: The case of local development policies in France
2017
International audience; A semi-parametric approach is proposed to estimate the variation along time of the effects of two distinct public policies that were devoted to boost rural development in France over a similar period of time. At a micro data level, it is often observed that the dependent variable, such as local employment, does not vary along time, so that we face a kind of zero inflated phenomenon that cannot be dealt with a continuous response model. We introduce a conditional mixture model which combines a mass at zero and a continuous response. The suggested zero inflated semi-parametric statistical approach relies on the flexibility and modularity of additive models with the abi…
Panel Data Analysis via Mechanistic Models
2018
Panel data, also known as longitudinal data, consist of a collection of time series. Each time series, which could itself be multivariate, comprises a sequence of measurements taken on a distinct unit. Mechanistic modeling involves writing down scientifically motivated equations describing the collection of dynamic systems giving rise to the observations on each unit. A defining characteristic of panel systems is that the dynamic interaction between units should be negligible. Panel models therefore consist of a collection of independent stochastic processes, generally linked through shared parameters while also having unit-specific parameters. To give the scientist flexibility in model spe…
An ensemble approach to short-term forecast of COVID-19 intensive care occupancy in Italian Regions
2020
Abstract The availability of intensive care beds during the COVID‐19 epidemic is crucial to guarantee the best possible treatment to severely affected patients. In this work we show a simple strategy for short‐term prediction of COVID‐19 intensive care unit (ICU) beds, that has proved very effective during the Italian outbreak in February to May 2020. Our approach is based on an optimal ensemble of two simple methods: a generalized linear mixed regression model, which pools information over different areas, and an area‐specific nonstationary integer autoregressive methodology. Optimal weights are estimated using a leave‐last‐out rationale. The approach has been set up and validated during t…
Longitudinal factorial invariance of the Maslach Burnout Inventory-General Survey among employees with job-related psychological health problems
2011
The study provides new knowledge about the longitudinal factorial invariance of the Maslach Burnout Inventory-General Survey (MBI-GS). In order to investigate the factor structure of the MBI-GS and its invariance across time, a full panel data with two measurements gathered among employees with job-related psychological health problems was used. Consistent with previous study findings, the results indicated that the correlated three-factor model of the MBI-GS (i.e. exhaustion, cynicism and professional efficacy) showed a better fit with the data than the alternative factor models. The correlated three-factor structure was invariant across time, indicating that the scale has good construct v…
Pecking Order Versus Trade-off: An Empirical Approach to the Small and Medium Enterprise Capital Structure
2003
In this paper, we explore two of the most relevant theories that explain financial policy in small and medium enterprises (SMEs): pecking order theory and trade-off theory. Panel data methodology is used to test the empirical hypotheses over a sample of 6482 Spanish SMEs during the five-year period 1994?1998. The results suggest that both theoretical approaches contribute to explain capital structure in SMEs. However, while we find evidence that SMEs attempt to achieve a target or optimum leverage (trade-off model), there is less support for the view that SMEs adjust their leverage level to their financing requirements (pecking order model). En este trabajo, exploramos dos de las teorías má…
Capital Structure and Sensitivity in SME Definition: A Panel Data Investigation
2003
We provide an empirical examination of the pecking order theory on capital structure in the field of Small and Medium Enterprises (SMEs). We mainly investigate if the results are sensitive to different definitions commonly used for these types of companies. Our evidence offers strong support for the growth opportunities and cash flow hypotheses. Firms that have many growth opportunities and small cash flows clearly show more debt in their capital structure. Moreover, results do not change when different SME definitions or sample sizes are used.
Monitoring and Market Power in Loan Markets
2000
Whether or not banks are engaged in ex ante monitoring of customers may have important consequences for the whole economy. We approach this question via a model in which banks can invest in either information acquisition or market power (product differentiation). The two alternatives generate different predictions, which are tested using panel data on Finnish local banks. We find evidence that banks’ investments in branch networks and human capital (personnel) contribute to information acquisition but not to market power. We also find that managing customers’ money transactions enhances banks ability to control their lending risks.