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

Impact of Recreational Fishery on the Formal Danish Economy

This paper presents estimates of the economic impact of recreational fisheries on the formal economy of Denmark. It utilises primary data from a CVM (con-tingent valuation method)-mail survey conducted in 1999 in Denmark, Norway, Finland, Sweden and Iceland. The sample used in this paper covers 546 Danish respondents (recreational fishermen only). The questions on expenditure were asked in order to jog the memory of the respondents prior to the CVM questions in the form of willingness to pay questions. The annual mean amount spent on recreational fishery was estimated to be 1.170 DKK in national currency and the aggregate Danish expenditure was estimated to be 517 million DKK. The expenditure estimates from the original survey distributed on expenditure cate-gories were used as the starting point of this study. The estimation of the economic impact was done from the demand side using the Danish input-output tables. In the model each known expenditure category from the survey was allocated to a similar commodity group posting in the in-put output model nomenclature. As a result, the impact of expenditure on rec-reational fisheries activities on employment, import, indirect taxes and income was calculated.

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

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

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

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

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