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Schivardi, Fabiano; Torrini, Roberto - 2003

We study the role of employment protection legislation (EPL) in explaining the relative small average size of Italian firms. We construct a simple model that shows that the smooth relation between size and growth probability is disturbed in proximity of the thresholds at which EPL applies...

Persistent link: https://www.econbiz.de/10009477543

Impeded Industrial Restructuring: The Growth Penalty

Audretsch, David B.; Carree, M.A.; van Stel, A.J.; … - 2000

This paper documents that a process of industrial restructuring has been transforming the developed economies, where large corporations are accounting for less economic activity and small firms are accounting for a greater share of economic activity. Not all countries, however, are experiencing...

Persistent link: https://www.econbiz.de/10009442357

Firm Size Distribution and Performance of Maize and Fertilizer Traders After Market Liberalisation: Evidence from Kenya

Mose, Lawrence Obae; Burger, Kees - 2006

Improvement in the performance of agricultural markets was the ultimate goal of market liberalisation. In this paper, firm (trader) size distribution as a factor influencing market performance is analyzed using maize and fertilizer traders from Kenya. Firm size distribution was assessed by...

Persistent link: https://www.econbiz.de/10009442494

Employment generation by small firms in Spain

López García, Paloma; Puente Díaz, Sergio; Gómez … - 2009

Despite the relevance in terms of policy, we still know little in Spain about where and by whom jobs are created, and how that is affecting the size distribution of firms. The main innovation of this paper is to use a rich database that overcomes the problems encountered by other firm-level...

Persistent link: https://www.econbiz.de/10012529543

Evaluation of statistical estimation methods for lognormally distributed variables.

Parkin, T.B.; Meisinger, J.J.; Chester, S.T.; Starr, J.L.; … - 1988

lognormal population. The four statistical methods were: (i) the geometric mean (GM), (ii) a bias-corrected form of the …

Persistent link: https://www.econbiz.de/10009429560

Robustness in Latent Variable Models

Huang, Xianzheng - 2006

Statistical models involving latent variables are widely used in many areas of applications, such as biomedical science and social science. When likelihood-based parametric inferential methods are used to make statistical inference, certain distributional assumptions on the latent variables are...

Persistent link: https://www.econbiz.de/10009431306

Causal Inference with Two-Stage Logistic Regression - Accuracy, Precision, and Application

Cai, Bing - 2010

2SPS and 2SRI for logistic binary outcomes have not been thoroughly studied. We study the bias and variance properties … trial. We first present closed form expressions of asymptotic bias for the causal odds ratio from both 2SPS and 2SRI … approaches. Our closed form bias results show that the 2SPS logistic regression generates asymptotically biased estimates of this …

Persistent link: https://www.econbiz.de/10009439053

Adaptive Inference for Multi-Stage Survey Data

Al-Zou'bi, L. M.; Clark, Robert Graham; Steel, D. G. - 2009

Two-stage sampling usually leads to higher variances for estimators of means and regression coefficients, because of intra-cluster homogeneity. One way of allowing for clustering in fitting a linear regression model is to use a linear mixed model with two levels. If the estimated intra-cluster...

Persistent link: https://www.econbiz.de/10009457371

Evaluating bias caused by screening in observational risk-factor studies of lung cancer nested in the PLCO randomized screening trial.

Jansen, Ricky Jeffrey - 2009

It is well-known that bias such as lead-time and length distort studies of screening efficacy whether survival or … incidence is of interest. A third bias, usually called overdiagnosis bias, occurs when an individual is only diagnosed with … disease before death from a different cause because he/she is screened. These forms of bias can also arise in observational …

Persistent link: https://www.econbiz.de/10009462767

Bias Reduction and Goodness-of-Fit Tests in Conditional Logistic Regression Models

Sinha, Samiran (contributor); Wang, Suojin (contributor) - 2010

bias preventive approach developed by Firth (1993) to handlethe bias of an estimator of the log-odds ratio parameter in … conditional logistic regression bysolving a modified score equation. The resultant estimator not only reduces bias but alsocan …

Persistent link: https://www.econbiz.de/10009464883