The effects of collective bargaining on firm performance : new evidence based on stochastic production frontiers and multiply imputed German establishment data

"This paper makes three contributions to the literature on the effects of collective bargaining on the performance of German establishments. We include the analysis of firms' efficiency and we model productivity and efficiency simultaneously. Confronted with 25 % observations with missing values, we check the missing data mechanisms and find effects of firm size and collective bargaining on it, among others. After proper multiple imputation of the missing values - thus avoiding obvious nonresponse bias -, the results on the collective bargaining effects on productivity and efficiency change significantly. Finally, we suggest to multiply impute implausible zero values in the capital proxy as well." (Author's abstract, IAB-Doku) ((en))Tarifverhandlungen, Lohnpolitik, Produktivitätseffekte, Unternehmenserfolg, IAB-Betriebspanel, Schätzung, Fehler, Datenaufbereitung, angewandte Statistik

Stochastic production frontiers with multiply imputed German establishment data

"In this paper, stochastic production frontier models are estimated with IAB establishment data from waves 2002 and 2003 to analyze productivity and inefficiency. The data suffer from nonresponse in the most important variables (output, capital and labor) leading to the loss of 25 % of the observations and possibly imprecise estimates and invalid test statistics. Therefore the missing values are multiply imputed. The analysis of the estimation results shows that, particularly in the inefficiency submodel, working with multiply imputed data reveals some interesting and plausible results which are not available when missing observations are ignored." (Author's abstract, IAB-Doku) ((en))IAB-Betriebspanel, Schätzung, Fehler, Datenaufbereitung, angewandte Statistik

Where have all the data gone? Stochastic production frontiers with multiply imputed German establishment data

"In this paper, stochastic production frontier models are estimated with IAB establishment data from waves 2002 and 2003 to find important determinants of productivity and ineffciency. The data suffer from nonresponse in the most important variables (output, capital and labor) leading to the loss of 25 % of the observations and possibly imprecise estimates and invalid test statistics. Therefore, the missing values are multiply imputed. Analyzes of the estimation results show that, particularly in the ineffciency submodel, working with multiply imputed data reveals some interesting and plausible results which are not available when ignoring missing observations." (Author's abstract, IAB-Doku) ((en))IAB-Betriebspanel, Schätzung, Fehler, Datenaufbereitung, angewandte Statistik, Imputationsverfahren

Measuring overeducation with earnings frontiers and multiply imputed censored income data

"In this paper, we remove one serious drawback of the IAB employment sample impeding its applicability to the estimation of earnings frontiers: the censoring of the income data, by multiple imputation. Then, we estimate individual potential income with stochastic earnings frontiers, and we measure overeducation as the ratio between actual income and potential income. It is shown that the measurement of overeducation by this income ratio is a valuable addition to the overeducation literature because the well-established objective or subjective overeducation measures focus on some ordinal matching aspects and ignore the metric income and efficiency aspects of overeducation." (Author's abstract, IAB-Doku) ((en))Überqualifikation - Messung, Einkommen, Einkommenshöhe, IAB-Beschäftigtenstichprobe, Stichprobenfehler, Datenaufbereitung, Datenanalyse, Schätzung, Imputationsverfahren

Steps Toward a Natural System of the Dicotyledons

Nucleic acids and proteins provide useful characters for the elucidation of evolutionary relationships. Those protein molecules, e.g., legumins, which are subject to less influence of selection processes, have proven to be most valuable as diagnostic characters in phylogenetic studies. Three systematic investigations conducted using comparative serological legumin analyses are discussed as contributions aiding botanists\u27 understanding of a natural system of classification

The effects of collective bargaining on firm performance: new evidence based on stochastic production frontiers and multiply imputed German establishment data

"This paper makes three contributions to the literature on the effects of collective bargaining on the performance of German establishments. We include the analysis of firms' efficiency and we model productivity and efficiency simultaneously. Confronted with 25% observations with missing values, we check the missing data mechanisms and find effects of firm size and collective bargaining on it, among others. After proper multiple imputation of the missing values - thus avoiding obvious nonresponse bias -, the results on the collective bargaining effects on productivity and efficiency change significantly. Finally, we suggest to multiply impute implausible zero values in the capital proxy as well." (author's abstract)Die Studie leistet einen Beitrag zur Diskussion um die Auswirkungen von Tarifverträgen auf die Leistungsfähigkeit deutscher Unternehmen. Bei der Untersuchung wird eine Analyse der Betriebseffizienz mit einem simultanen Modell von Produktivität und Effizienz kombiniert. Da bei einem Viertel der Beobachtungen mit fehlenden Werten gerechnet werden muss, wird der Mechanismus der fehlenden Werte überprüft und es zeigt sich, dass dieser unter anderem von der Unternehmensgröße und Tarifverträgen beeinflusst wird. Nach einer multiplen Imputation der fehlenden Werte, die es ermöglicht, Verzerrungen aufgrund von Antwortausfällen zu vermeiden, ergibt sich ein komplett anderes Bild der Auswirkungen von Tarifverträgen auf die Produktivität und Effizienz der Unternehmen. Außerdem wird bei Nullwerten in Hinblick auf Ersatzinvestitionen vorgeschlagen, diese ebenso mittels multipler Imputation zu ergänzen. (IAB

Where have all the data gone? Stochastic production frontiers with multiply imputed German establishment data

"In this paper, stochastic production frontier models are estimated with IAB establishment data from waves 2002 and 2003 to find important determinants of productivity and inefficiency. The data suffer from nonresponse in the most important variables (output, capital and labor) leading to the loss of 25% of the observations and possibly imprecise estimates and invalid test statistics. Therefore, the missing values are multiply imputed. Analyzes of the estimation results show that, particularly in the inefficiency submodel, working with multiply imputed data reveals some interesting and plausible results which are not available when ignoring missing observations." (author's abstract

Measuring overeducation with earnings frontiers and multiply imputed censored income data

"In this paper, we remove one serious drawback of the IAB employment sample impeding its applicability to the estimation of earnings frontiers: the censoring of the income data, by multiple imputation. Then, we estimate individual potential income with stochastic earnings frontiers, and we measure overeducation as the ratio between actual income and potential income. It is shown that the measurement of overeducation by this income ratio is a valuable addition to the overeducation literature because the well-established objective or subjective overeducation measures focus on some ordinal matching aspects and ignore the metric income and efficiency aspects of overeducation." (author's abstract)In dem Papier wird ein ernstzunehmender Nachteil der IAB-Beschäftigtenstichprobe beseitigt, der die Nutzung dieser Stichprobe zur Schätzung von Einkommensgrenzen verhinderte: zensierte Einkommensdaten werden durch multiple Imputation ergänzt. Anschließend werden die individuellen Einkommenspotentiale mittels stochastischer Einkommens-Grenzfunktion geschätzt, und die Überqualifikation wird als Verhältnis von aktuellem und potenziellem Einkommen bestimmt. Es wird gezeigt, das dieser Ansatz einen nützlichen Beitrag zur Literatur über Überqualifikation darstellt, weil dabei im Unterschied zu üblichen Messungen, die sich auf ordinale Matching-Aspekte konzentrieren, die Einkommens- und Effizienz-Effekte von Überqualifikation berücksichtigt werden. (IAB