{"title":"A New Decade of Research on the Economics of Climate Change","authors":"Martin C. Hänsel, Ottmar Edenhofer","doi":"10.1515/jbnst-2023-0070","DOIUrl":"https://doi.org/10.1515/jbnst-2023-0070","url":null,"abstract":"","PeriodicalId":45967,"journal":{"name":"Jahrbucher Fur Nationalokonomie Und Statistik","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135459670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract In this paper, we revisit and examine the effect of political instability on institutional quality. To this end, we exploit the crackdown of government cabinet in 2008 that led to almost two decades of pervasive political instability using the unique case of Slovenia and estimate the average treatment effect of political instability and the missing counterfactual scenario for the period 1996–2020. Based on large-scale Bayesian analysis with Metropolis–Hastings algorithm, we extract the residual component of institutional quality from the variation in predetermined unobserved characteristics. Across more than 1.5 million sequenced random samples, we construct novel time-varying estimates of institutional quality at the local and regional level. Our difference-in-differences and synthetic control estimates emphasize a rampant deterioration of institutional quality in response to political instability with evidence of weakened rule of law, less effective public sector, decreased political accountability, and more widespread prevalence of power abuses. The estimated negative effects of political instability are robust to a variety of placebo checks across more than 12 billion placebo averages for institutional quality outcome variable using random sampling method of treatment permutation.
{"title":"Estimating the Effects of Political Instability in Nascent Democracies","authors":"Thomas J. Emery, M. Kovač, R. Spruk","doi":"10.1515/jbnst-2022-0074","DOIUrl":"https://doi.org/10.1515/jbnst-2022-0074","url":null,"abstract":"Abstract In this paper, we revisit and examine the effect of political instability on institutional quality. To this end, we exploit the crackdown of government cabinet in 2008 that led to almost two decades of pervasive political instability using the unique case of Slovenia and estimate the average treatment effect of political instability and the missing counterfactual scenario for the period 1996–2020. Based on large-scale Bayesian analysis with Metropolis–Hastings algorithm, we extract the residual component of institutional quality from the variation in predetermined unobserved characteristics. Across more than 1.5 million sequenced random samples, we construct novel time-varying estimates of institutional quality at the local and regional level. Our difference-in-differences and synthetic control estimates emphasize a rampant deterioration of institutional quality in response to political instability with evidence of weakened rule of law, less effective public sector, decreased political accountability, and more widespread prevalence of power abuses. The estimated negative effects of political instability are robust to a variety of placebo checks across more than 12 billion placebo averages for institutional quality outcome variable using random sampling method of treatment permutation.","PeriodicalId":45967,"journal":{"name":"Jahrbucher Fur Nationalokonomie Und Statistik","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66924994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Johanna Garnitz, Annette von Maltzan, Klaus Wohlrabe
Abstract FamData is a database covering family businesses and non-family businesses across various size classes and branches containing structural and financial information. The ifo institute assembled a business panel with executives from almost 4000 companies. In addition to the “hard” business data like turnover and number of employees, the database also includes “soft” survey data. The latter one covers information from regular – at least yearly – surveys treating topics like investment behavior, skilled labor shortage or reaction of firms during the Corona pandemic situation and the rise in energy prices observed in 2022.
{"title":"FamData: Database for Family Business Companies in Germany Covering Company Key Figures and Survey Data","authors":"Johanna Garnitz, Annette von Maltzan, Klaus Wohlrabe","doi":"10.1515/jbnst-2023-0056","DOIUrl":"https://doi.org/10.1515/jbnst-2023-0056","url":null,"abstract":"Abstract FamData is a database covering family businesses and non-family businesses across various size classes and branches containing structural and financial information. The ifo institute assembled a business panel with executives from almost 4000 companies. In addition to the “hard” business data like turnover and number of employees, the database also includes “soft” survey data. The latter one covers information from regular – at least yearly – surveys treating topics like investment behavior, skilled labor shortage or reaction of firms during the Corona pandemic situation and the rise in energy prices observed in 2022.","PeriodicalId":45967,"journal":{"name":"Jahrbucher Fur Nationalokonomie Und Statistik","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135369054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract FamData is a database covering family businesses and non-family businesses across various size classes and branches containing structural and financial information. The ifo institute assembled a business panel with executives from almost 4000 companies. In addition to the “hard” business data like turnover and number of employees, the database also includes “soft” survey data. The latter one covers information from regular – at least yearly – surveys treating topics like investment behavior, skilled labor shortage or reaction of firms during the Corona pandemic situation and the rise in energy prices observed in 2022.
{"title":"FamData: Database for Family Business Companies in Germany Covering Company Key Figures and Survey Data","authors":"Johanna Garnitz, Annette von Maltzan, K. Wohlrabe","doi":"10.2139/ssrn.4506326","DOIUrl":"https://doi.org/10.2139/ssrn.4506326","url":null,"abstract":"Abstract FamData is a database covering family businesses and non-family businesses across various size classes and branches containing structural and financial information. The ifo institute assembled a business panel with executives from almost 4000 companies. In addition to the “hard” business data like turnover and number of employees, the database also includes “soft” survey data. The latter one covers information from regular – at least yearly – surveys treating topics like investment behavior, skilled labor shortage or reaction of firms during the Corona pandemic situation and the rise in energy prices observed in 2022.","PeriodicalId":45967,"journal":{"name":"Jahrbucher Fur Nationalokonomie Und Statistik","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67735409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christoph Baumgartner, Stjepan Srhoj, Janette Walde
Abstract Firm-product data provide information for various research questions in international trade, industrial or innovation economics. However, working with these data requires harmonizing product classifications consistently over time to avoid internal validity issues. Harmonization is required because classification systems like the EU classifications combined nomenclature (CN) for goods or the Prodcom for the production of manufactured goods undergo several changes. We have addressed this problem and developed an approach to harmonize product codes. This approach tracks product codes from 1995 to 2022 for CN and 2001 to 2021 for Prodcom. Additional years can be conveniently added. We provide the harmonized product codes for CN and Prodcom in the selected period’s last (or first) year. Our approach is summarized in an open-source R package so that researchers can consistently track product codes for their selected period. We demonstrate the importance of harmonization using the micro-level trade data for Croatia as a case study. Our approach facilitates working with firm-product data, allowing the analysis of important research questions.
{"title":"Harmonization of Product Classifications: A Consistent Time Series of Economic Trade Activities","authors":"Christoph Baumgartner, Stjepan Srhoj, Janette Walde","doi":"10.1515/jbnst-2022-0034","DOIUrl":"https://doi.org/10.1515/jbnst-2022-0034","url":null,"abstract":"Abstract Firm-product data provide information for various research questions in international trade, industrial or innovation economics. However, working with these data requires harmonizing product classifications consistently over time to avoid internal validity issues. Harmonization is required because classification systems like the EU classifications combined nomenclature (CN) for goods or the Prodcom for the production of manufactured goods undergo several changes. We have addressed this problem and developed an approach to harmonize product codes. This approach tracks product codes from 1995 to 2022 for CN and 2001 to 2021 for Prodcom. Additional years can be conveniently added. We provide the harmonized product codes for CN and Prodcom in the selected period’s last (or first) year. Our approach is summarized in an open-source R package so that researchers can consistently track product codes for their selected period. We demonstrate the importance of harmonization using the micro-level trade data for Croatia as a case study. Our approach facilitates working with firm-product data, allowing the analysis of important research questions.","PeriodicalId":45967,"journal":{"name":"Jahrbucher Fur Nationalokonomie Und Statistik","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66925269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arndt R. Reichert, Harald Tauchmann, Ansgar Wübker
Abstract Obesity may not only be linked to undesirable health outcomes but also to limitations in sexual life. The present paper aims to assess whether there is a causal relationship between weight loss and sexual activity in adult obese individuals. To address the endogeneity of weight loss that is likely to result in biased estimation results, the analysis is based on data from a randomized field experiment. In this experiment, financial weight-loss rewards were offered to a random subgroup of participants and can be used as an exogenous source of weight variation in an instrumental variables approach. Estimation results indicate that for obese males losing weight, both the probability of being involved in a sexual relationship and the frequency of sexual intercourse increases. The same pattern of results is found when pooling both sexes in the sample. Due to the small share of women in the sample, the analysis yields no reliable results specifically for females.
{"title":"Weight Loss and Sexual Activity in Adult Obese Individuals: Establishing a Causal Link","authors":"Arndt R. Reichert, Harald Tauchmann, Ansgar Wübker","doi":"10.1515/jbnst-2022-0039","DOIUrl":"https://doi.org/10.1515/jbnst-2022-0039","url":null,"abstract":"Abstract Obesity may not only be linked to undesirable health outcomes but also to limitations in sexual life. The present paper aims to assess whether there is a causal relationship between weight loss and sexual activity in adult obese individuals. To address the endogeneity of weight loss that is likely to result in biased estimation results, the analysis is based on data from a randomized field experiment. In this experiment, financial weight-loss rewards were offered to a random subgroup of participants and can be used as an exogenous source of weight variation in an instrumental variables approach. Estimation results indicate that for obese males losing weight, both the probability of being involved in a sexual relationship and the frequency of sexual intercourse increases. The same pattern of results is found when pooling both sexes in the sample. Due to the small share of women in the sample, the analysis yields no reliable results specifically for females.","PeriodicalId":45967,"journal":{"name":"Jahrbucher Fur Nationalokonomie Und Statistik","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135063290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Florian Zimmermann, Andreas Filser, G. Haas, Sebastian Bähr
Abstract The ubiquity of smartphones has enabled the collection of novel data through their built-in sensors, including geolocation data which can be used to understand mobility behavior. In this project, we leveraged longitudinal geolocation data collected from participants in the 2018 German app study IAB-SMART to develop a set of mobility indicators, such as visited unique locations and traveled distance. The indicators can be linked to the Panel Study Labour Market and Social Security (PASS) survey and administrative employment histories. The resulting novel dataset offers a unique opportunity to study the relationship between mobility and labor market outcomes. This article provides an overview of the study, outlines the data preparation process, and the socio-demographic characteristics of the 398 participants of the IAB-SMART-Mobility module. We present the mobility indicators generated from the geolocation data and provide guidance for accessing the Institute for Employment Research’s (IAB) data.
{"title":"The IAB-SMART-Mobility Module: An Innovative Research Dataset with Mobility Indicators Based on Raw Geodata","authors":"Florian Zimmermann, Andreas Filser, G. Haas, Sebastian Bähr","doi":"10.1515/jbnst-2023-0051","DOIUrl":"https://doi.org/10.1515/jbnst-2023-0051","url":null,"abstract":"Abstract The ubiquity of smartphones has enabled the collection of novel data through their built-in sensors, including geolocation data which can be used to understand mobility behavior. In this project, we leveraged longitudinal geolocation data collected from participants in the 2018 German app study IAB-SMART to develop a set of mobility indicators, such as visited unique locations and traveled distance. The indicators can be linked to the Panel Study Labour Market and Social Security (PASS) survey and administrative employment histories. The resulting novel dataset offers a unique opportunity to study the relationship between mobility and labor market outcomes. This article provides an overview of the study, outlines the data preparation process, and the socio-demographic characteristics of the 398 participants of the IAB-SMART-Mobility module. We present the mobility indicators generated from the geolocation data and provide guidance for accessing the Institute for Employment Research’s (IAB) data.","PeriodicalId":45967,"journal":{"name":"Jahrbucher Fur Nationalokonomie Und Statistik","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66925151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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