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The Reputation Effect of Repeated Green-Bond Issuance and Its Impact on the Cost of Capital

This study explores the effect of frequent green-bond issuance on a firm's financing costs. Using a sample of listed Swedish real estate companies issuing a total of 1074 bonds over the period from 2011 to 2021, difference-in-differences analyses and instrumental variable estimations are applied to identify the causal impact of frequent green-bond vis-à-vis frequent non-green-bond issuance on a firm's ...

Plausibilisierung: Eine Handreichung zum Umgang mit inkonsistenten Daten in den Sozialwissenschaften

Die vorliegende Handreichung zeigt, dass in quantitativen, sozialwissenschaftlichen Erhebungen Unplausibilitäten entstehen können, die möglicherweise zu Auswertungsproblemen und Fehlanalysen führen. Ziel der Handreichung ist, die möglichen Probleme zu systematisieren und konkrete Hilfestellungen bei der Identifikation, dem Umgang und der Vermeidung von Unplausibilitäten zu geben. Außerdem werden Dokumentationsempfehlungen ...

From Concurrent to Push-To-Web Mixed-Mode: Experimental Design Change in the German Social Cohesion Panel

Research shows that concurrent and sequential self-administered mixed-mode designs both have advantages and disadvantages in terms of panel survey recruitment and maintenance. Since concurrent mixed-mode designs usually achieve higher initial response rates at lower bias than sequential mixed-mode designs, the former may be ideal for panel recruitment. However, concurrent designs producea high share ...

State of DDI Cloud

As the DDI community continues to grow, an increasing number of repositories are providing their metadata in various DDI formats. However, the current landscape of DDI metadata standards usage is not well understood. Understanding this landscape is crucial as it helps identifying usage patterns, improve interoperability, and guide future developments. To address this research gap, we investigated the ...

SOEP Annual Report 2023

Validating an Index of Selection Bias for Proportions in Non-probability Samples

Fast online surveys without sampling frames are becoming increasingly important in survey research. Their recruitment methods result in non-probability samples. As the mechanism of data generation is always unknown in such samples, the problem of non-ignorability arises making vgeneralisation of calculated statistics to the population of interest highly questionable. Sensitivity analyses provide a ...

Learn to use the SOEP over lunch

The German Socio-Economic Panel Study is a representative panel study for the German population, collecting data on a broad variety of topics of everyday life, including general well-being, household composition, educational aspirations and educational status, income and occupational biographies, leisure time activities, housing, health, political orientation and more. With its long running panel...

Avoiding Unintentionally Correlated Shocks in Procy Vector Autoregressive Analysis

The shocks in structural vector autoregressive (VAR) analysis are typically assumed to be instantaneously uncorrelated. This condition may easily be violated in proxy VAR models if more than one shock is identified by a proxy variable. Correlated shocks may be obtained even if the proxies are uncorrelated and satisfy the usual relevance and exogeneity conditions individually. Examples from the recent ...

Time-Varying Shock Transmission in Non-Gaussian Structural Vector Autoregressions

This paper analyzes possibly time-varying shock transmission in structural vector autoregressive (VAR) models when the reduced-form VAR coefficients are time-invariant and the shocks are identified through non-Gaussianity. To check for possible time-variation in the impulse responses, we propose Wald tests for two situations: (1) homoskedastic and (2) heteroskedastic structural shocks. For the latter ...

Identifying Optimizers, Extremists, and Indifferents: Latent Satisficing Patterns in Panel Surveys

Data quality is known to be compromised when respondents cognitively shortcut the survey response process. This satisficing behavior leads to inaccurate and unreliable responses that are hard to compensate after data collection. Thus, detecting and understanding survey satisficing is crucial for developing and implementing effective preventive measures in longitudinal data collection contexts. We use ...