Using panel data from Indonesia, this paper analyzes short and long-term drivers of nutritional conditions among children aged 0–15 years. I estimate a Mundlak model in order to better account for the relatively larger “between” variation that is found in the data, and to control for endogeneity biases that may arise due to the correlation of unobserved heterogeneity and observed explanatory variables. As results suggest, children with older, more experienced mothers, and those breastfed, exhibit improved height outcomes, aligning with existing research on breastfeeding's positive health effects. While prior research emphasized the importance of maternal education, this study reveals that, once accounting for father's education, the long-term effect of the mother's education loses statistical significance. Finally, the findings of this study suggest that household wealth and access to adequate sanitation facilities strongly affect short -and long-run improvements in children anthropometric outcomes.
{"title":"Drivers of changes in child nutritional conditions: A panel data-based study on Indonesian households, 1997–2014","authors":"Maria C. Lo Bue","doi":"10.1111/rode.13082","DOIUrl":"https://doi.org/10.1111/rode.13082","url":null,"abstract":"Using panel data from Indonesia, this paper analyzes short and long-term drivers of nutritional conditions among children aged 0–15 years. I estimate a Mundlak model in order to better account for the relatively larger “between” variation that is found in the data, and to control for endogeneity biases that may arise due to the correlation of unobserved heterogeneity and observed explanatory variables. As results suggest, children with older, more experienced mothers, and those breastfed, exhibit improved height outcomes, aligning with existing research on breastfeeding's positive health effects. While prior research emphasized the importance of maternal education, this study reveals that, once accounting for father's education, the long-term effect of the mother's education loses statistical significance. Finally, the findings of this study suggest that household wealth and access to adequate sanitation facilities strongly affect short -and long-run improvements in children anthropometric outcomes.","PeriodicalId":47635,"journal":{"name":"Review of Development Economics","volume":"66 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138826754","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}
Achieving greater geographical diversity in economics in general, and in the field of development in particular, is a desirable objective due to ethical and utilitarian reasons. In this article, we analyze geographical diversity in the main academic journals of the discipline, providing a detailed look at articles written in collaboration between researchers from developed and developing countries. Our results confirm the striking prevalence of articles written by researchers based in developed countries. We also detect an increase in collaborative research in time and highlight the importance of non‐academic institutions in the conformation of these collaborative research teams. In terms of contents, most of these collaborations address the study of a country or a region, and many of them are empirical, mainly using quantitative approaches. Integrating a collaborative research team allows researchers located in the developing world to publish in higher quality journals and get more impact, at least in terms of citations.
{"title":"Research collaboration in development economics","authors":"Verónica Amarante, Julieta Zurbrigg","doi":"10.1111/rode.13078","DOIUrl":"https://doi.org/10.1111/rode.13078","url":null,"abstract":"Achieving greater geographical diversity in economics in general, and in the field of development in particular, is a desirable objective due to ethical and utilitarian reasons. In this article, we analyze geographical diversity in the main academic journals of the discipline, providing a detailed look at articles written in collaboration between researchers from developed and developing countries. Our results confirm the striking prevalence of articles written by researchers based in developed countries. We also detect an increase in collaborative research in time and highlight the importance of non‐academic institutions in the conformation of these collaborative research teams. In terms of contents, most of these collaborations address the study of a country or a region, and many of them are empirical, mainly using quantitative approaches. Integrating a collaborative research team allows researchers located in the developing world to publish in higher quality journals and get more impact, at least in terms of citations.","PeriodicalId":47635,"journal":{"name":"Review of Development Economics","volume":"8 2","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139003283","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}
In this study, we apply a detailed country level data in the 1961–2015 period to investigate the relationship between weather variables, CO2, share of renewable energy sources, gross domestic product, and total factor productivity in a standard Cobb–Douglas production function by using an instrumental variable approach. Our findings suggest that economic growth has been positively affected by temperature and CO2 emissions, while climate vulnerability varies significantly between rich-poor countries. Furthermore, the negative nexus between renewable sources and CO2 emissions demonstrates its importance for optimal environmental policies design while an inverted U-shaped relationship for temperature and emissions.
在本研究中，我们运用 1961-2015 年期间详细的国家级数据，通过工具变量法研究了标准柯布-道格拉斯生产函数中天气变量、二氧化碳、可再生能源份额、国内生产总值和全要素生产率之间的关系。我们的研究结果表明，经济增长受到气温和二氧化碳排放的积极影响，而气候脆弱性在富国和穷国之间存在显著差异。此外，可再生能源与二氧化碳排放量之间的负相关关系表明了其对优化环境政策设计的重要性，而温度与排放量之间则存在倒 U 型关系。
{"title":"The impact of CO2 emissions and climate on economic growth and productivity: International evidence","authors":"Nikos Rigas, Konstantinos Elias Kounetas","doi":"10.1111/rode.13075","DOIUrl":"https://doi.org/10.1111/rode.13075","url":null,"abstract":"In this study, we apply a detailed country level data in the 1961–2015 period to investigate the relationship between weather variables, CO<sub>2</sub>, share of renewable energy sources, gross domestic product, and total factor productivity in a standard Cobb–Douglas production function by using an instrumental variable approach. Our findings suggest that economic growth has been positively affected by temperature and CO<sub>2</sub> emissions, while climate vulnerability varies significantly between rich-poor countries. Furthermore, the negative nexus between renewable sources and CO<sub>2</sub> emissions demonstrates its importance for optimal environmental policies design while an inverted U-shaped relationship for temperature and emissions.","PeriodicalId":47635,"journal":{"name":"Review of Development Economics","volume":"171 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138690053","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}
Kwabena Nyarko Addai, John N. Ng'ombe, Omphile Temoso
The relationship between farm size and dietary diversity has recently gained attention among development practitioners and policymakers. To study this issue, we utilized cross-sectional data from 900 farm households in Northern Ghana. The analysis employs three econometric approaches—ordinary least squares, two-stage least squares, and instrumental variable (IV) quantile regression. We subjected our estimates to Conley-Hansen-Rossi bound tests to assess the validity of total farmland under household control as an IV for farm size, which serves to illustrate the robustness of the causal inferences linking farm size to household dietary diversity. The results show that a 1-ha increase in cultivated land improves household dietary diversity score by 3.221 units. The effect of cultivated land on dietary diversity is enhanced by market information, use of improved seeds, chemical fertilizers and herbicides, and overall household asset value. In conclusion, the results indicate that farm size increases household dietary diversity when moving along the dietary diversity distribution. This highlights the importance of considering the influence of farm size at different points along the conditional dietary diversity score distribution, as relying solely on mean effects may obscure important counteracting effects.
农场规模与饮食多样性之间的关系最近受到了发展实践者和政策制定者的关注。为了研究这个问题，我们利用了加纳北部 900 户农户的横截面数据。分析采用了三种计量经济学方法--普通最小二乘法、两阶段最小二乘法和工具变量（IV）量化回归。我们对估计值进行了康利-汉森-罗西约束检验，以评估家庭控制下的耕地总量作为农场规模 IV 的有效性，从而说明农场规模与家庭膳食多样性之间因果关系推论的稳健性。结果显示，耕地面积每增加 1 公顷，家庭膳食多样性得分提高 3.221 个单位。耕地对膳食多样性的影响因市场信息、改良种子、化肥和除草剂的使用以及家庭资产总值而增强。总之，研究结果表明，当沿着膳食多样性分布移动时，农场规模会增加家庭膳食多样性。这突出了考虑农场规模在条件膳食多样性得分分布的不同点上的影响的重要性，因为仅仅依靠平均效应可能会掩盖重要的抵消效应。
{"title":"Average and heterogeneous effects of smallholder farm sizes on dietary diversity in northern Ghana","authors":"Kwabena Nyarko Addai, John N. Ng'ombe, Omphile Temoso","doi":"10.1111/rode.13076","DOIUrl":"https://doi.org/10.1111/rode.13076","url":null,"abstract":"The relationship between farm size and dietary diversity has recently gained attention among development practitioners and policymakers. To study this issue, we utilized cross-sectional data from 900 farm households in Northern Ghana. The analysis employs three econometric approaches—ordinary least squares, two-stage least squares, and instrumental variable (IV) quantile regression. We subjected our estimates to Conley-Hansen-Rossi bound tests to assess the validity of total farmland under household control as an IV for farm size, which serves to illustrate the robustness of the causal inferences linking farm size to household dietary diversity. The results show that a 1-ha increase in cultivated land improves household dietary diversity score by 3.221 units. The effect of cultivated land on dietary diversity is enhanced by market information, use of improved seeds, chemical fertilizers and herbicides, and overall household asset value. In conclusion, the results indicate that farm size increases household dietary diversity when moving along the dietary diversity distribution. This highlights the importance of considering the influence of farm size at different points along the conditional dietary diversity score distribution, as relying solely on mean effects may obscure important counteracting effects.","PeriodicalId":47635,"journal":{"name":"Review of Development Economics","volume":"83 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138689933","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}
This paper examines the impact of district-level crime rates in South Africa on individual depression symptoms. We use panel data from the National Income Dynamics Survey collected between 2008 and 2014 and estimate an individual fixed effects regression model, thus controlling for characteristics of the individual's environment that could affect crime and mental health. We find that an increase of one standard deviation in property (violent) crime is associated with a 7.2 (8.7) percentage point increase in the probability of depression symptoms. Analysis of potential mechanisms suggests that indirect exposure to crime likely affects mental health by increasing stress rather than by changing physical health or labor market outcomes.
{"title":"The effect of crime on mental health in South Africa","authors":"Magda Tsaneva, Lauren-Kate LaPlante","doi":"10.1111/rode.13074","DOIUrl":"https://doi.org/10.1111/rode.13074","url":null,"abstract":"This paper examines the impact of district-level crime rates in South Africa on individual depression symptoms. We use panel data from the National Income Dynamics Survey collected between 2008 and 2014 and estimate an individual fixed effects regression model, thus controlling for characteristics of the individual's environment that could affect crime and mental health. We find that an increase of one standard deviation in property (violent) crime is associated with a 7.2 (8.7) percentage point increase in the probability of depression symptoms. Analysis of potential mechanisms suggests that indirect exposure to crime likely affects mental health by increasing stress rather than by changing physical health or labor market outcomes.","PeriodicalId":47635,"journal":{"name":"Review of Development Economics","volume":"47 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138540595","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}
Income pooling in the context of geographically stretched households, that is, households with migrants who maintain close relations and economic ties with household members left behind, is examined in this article. The focus is also directed at evaluating whether migration assists in reducing food deprivation in the household of origin. A model to generalise the relationship between the migrant and the family left behind is presented and then applied to Bulawayo, the second largest city in Zimbabwe. The analysis is tripartite. First, the determinants of migrant remittances are established; second, tests of income pooling between migrant remittances and income of the household at origin are conducted; and third, the impact of migration on the family left behind is examined in the context of food deprivation. Results show that gender is not a determinant of remittances, but it matters for income pooling of remittances with income at the household of origin on frequent and low-cost purchases. The evidence provided challenges the idea that a household is a separate and independent unit composed of co-residents eating from the same pot.
{"title":"Migration, income pooling and food deprivation","authors":"Gift Dafuleya","doi":"10.1111/rode.13073","DOIUrl":"https://doi.org/10.1111/rode.13073","url":null,"abstract":"Income pooling in the context of geographically stretched households, that is, households with migrants who maintain close relations and economic ties with household members left behind, is examined in this article. The focus is also directed at evaluating whether migration assists in reducing food deprivation in the household of origin. A model to generalise the relationship between the migrant and the family left behind is presented and then applied to Bulawayo, the second largest city in Zimbabwe. The analysis is tripartite. First, the determinants of migrant remittances are established; second, tests of income pooling between migrant remittances and income of the household at origin are conducted; and third, the impact of migration on the family left behind is examined in the context of food deprivation. Results show that gender is not a determinant of remittances, but it matters for income pooling of remittances with income at the household of origin on frequent and low-cost purchases. The evidence provided challenges the idea that a household is a separate and independent unit composed of co-residents eating from the same pot.","PeriodicalId":47635,"journal":{"name":"Review of Development Economics","volume":"73 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138540597","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}
Arnoldo López‐Marmolejo, Daniel Ventosa‐Santaulària
Abstract Countries where the volume of remittances received represents a significant proportion of their gross domestic product usually face short‐term pressures on their exchange rates that are unrelated to their economic fundamentals. In this article, we analyze how a remittance payment system involving the central banks of the source and destination countries of such remittances could mitigate the pressures on the exchange rate in the receiving country. To quantify the possible effect of such a system, we make an estimate for the case of Guatemala. We also consider the other benefits this system might provide for recipient economies.
{"title":"Transferring remittances through central banks: A tool applied to the Guatemalan exchange rate","authors":"Arnoldo López‐Marmolejo, Daniel Ventosa‐Santaulària","doi":"10.1111/rode.13071","DOIUrl":"https://doi.org/10.1111/rode.13071","url":null,"abstract":"Abstract Countries where the volume of remittances received represents a significant proportion of their gross domestic product usually face short‐term pressures on their exchange rates that are unrelated to their economic fundamentals. In this article, we analyze how a remittance payment system involving the central banks of the source and destination countries of such remittances could mitigate the pressures on the exchange rate in the receiving country. To quantify the possible effect of such a system, we make an estimate for the case of Guatemala. We also consider the other benefits this system might provide for recipient economies.","PeriodicalId":47635,"journal":{"name":"Review of Development Economics","volume":" 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135192569","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 Corporate profit shifting to tax havens negatively impacts corporate tax revenue, particularly in low‐income countries. Two studies published in 2016 and 2018 have proven this correlation using data from 2013. In this paper, I use the 2021 version of the UNU‐WIDER Government Revenue Dataset (GRD) to estimate government revenue losses in 2019 and to observe possible changes associated with the release of the new dataset. My estimations indicate that global tax revenue losses in 2019 are around USD 480 billion if estimated using statutory tax rates, compared to USD 500 billion in 2013. The volume of tax revenue losses in 2019 increases to USD 600 billion if estimated using effective tax rates. In terms of GDP percentage, my estimations confirm the presence of a higher share of losses in low‐income, and more generally, in non‐OECD countries, and they show a higher intensity of tax avoidance practices in those countries. The results also suggest that the total level of tax revenue losses has plateaued, with no increase in losses occurring since 2013 if estimated using statutory tax rates, while an increasing trend is visible for estimates using effective tax rates, although not with the same magnitudes with respect to others recent studies.
{"title":"Revenue losses from corporate tax avoidance: Estimations from the UNUWIDER Government Revenue Dataset","authors":"Alessandro Chiari","doi":"10.1111/rode.13072","DOIUrl":"https://doi.org/10.1111/rode.13072","url":null,"abstract":"Abstract Corporate profit shifting to tax havens negatively impacts corporate tax revenue, particularly in low‐income countries. Two studies published in 2016 and 2018 have proven this correlation using data from 2013. In this paper, I use the 2021 version of the UNU‐WIDER Government Revenue Dataset (GRD) to estimate government revenue losses in 2019 and to observe possible changes associated with the release of the new dataset. My estimations indicate that global tax revenue losses in 2019 are around USD 480 billion if estimated using statutory tax rates, compared to USD 500 billion in 2013. The volume of tax revenue losses in 2019 increases to USD 600 billion if estimated using effective tax rates. In terms of GDP percentage, my estimations confirm the presence of a higher share of losses in low‐income, and more generally, in non‐OECD countries, and they show a higher intensity of tax avoidance practices in those countries. The results also suggest that the total level of tax revenue losses has plateaued, with no increase in losses occurring since 2013 if estimated using statutory tax rates, while an increasing trend is visible for estimates using effective tax rates, although not with the same magnitudes with respect to others recent studies.","PeriodicalId":47635,"journal":{"name":"Review of Development Economics","volume":"53 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135429823","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 Economics has long shunned qualitative research methods, such as interviews, focus groups and observational studies, in preference for quantitative methods, such as empirical analysis of secondary data and field experiments. Moreover, recent years, with advances in econometric theory, have seen a notable increase in the size and quality of data sets that are needed to publish quantitative research in leading journals. This has the effect of significantly increasing the ‘entry costs’ for researchers interested in studying economic development. Crucially, it also limits the topics that can be studied. In particular, it focuses attention on issues and countries where large data sets exist or can be collected. In this paper, we argue that by putting too much weight on internal validity, economics has adopted a too narrow definition of ‘rigour’ and would benefit from embracing qualitative and mixed methods research. To illustrate our point, we pay particular attention to the informal economy. The informal economy is understudied by economists because of the lack of available quantitative data. We show that this fundamentally impacts our understanding of the wider economy. Qualitative research can enrich our understanding by providing a more complete and nuanced view of the economy.
{"title":"The case for mixed methods research: Embracing qualitative research to understand the (informal) economy","authors":"Edward Cartwright, Eghosa Igudia","doi":"10.1111/rode.13069","DOIUrl":"https://doi.org/10.1111/rode.13069","url":null,"abstract":"Abstract Economics has long shunned qualitative research methods, such as interviews, focus groups and observational studies, in preference for quantitative methods, such as empirical analysis of secondary data and field experiments. Moreover, recent years, with advances in econometric theory, have seen a notable increase in the size and quality of data sets that are needed to publish quantitative research in leading journals. This has the effect of significantly increasing the ‘entry costs’ for researchers interested in studying economic development. Crucially, it also limits the topics that can be studied. In particular, it focuses attention on issues and countries where large data sets exist or can be collected. In this paper, we argue that by putting too much weight on internal validity, economics has adopted a too narrow definition of ‘rigour’ and would benefit from embracing qualitative and mixed methods research. To illustrate our point, we pay particular attention to the informal economy. The informal economy is understudied by economists because of the lack of available quantitative data. We show that this fundamentally impacts our understanding of the wider economy. Qualitative research can enrich our understanding by providing a more complete and nuanced view of the economy.","PeriodicalId":47635,"journal":{"name":"Review of Development Economics","volume":"23 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135477556","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 Analyses of the informal economy are vital to understanding economic activity in developing countries, but challenges abound when analysing something that is so difficult to measure. In this article, we explore these challenges and what they mean for research and research design in studies of the informal economy. We review key economic theories developed to study the informal economy, before critically discussing the range of methods of data collection available for researchers. All approaches to data collection have limitations, yet many studies fail to reflect adequately on these in their design and presentation. In reviewing data sources for economic analyses of informality, we give particular attention to surveys designed and led by academic researchers, the consideration of which is omitted from leading official organisations' own reports on data collection in the informal economy. In the absence of a unifying theory and data sources that deliver the ‘comprehensive and accurate’ data called for by some authors we argue, first, that no one source of data is intrinsically superior; and second, that research on the informal economy must embrace transparency—around the data used, their alignment with the underlying theory adopted, and the detailed arrangements for data collection and analysis.
{"title":"Analysing the informal economy: Data challenges, research design, and research transparency","authors":"Rob Ackrill, Eghosa Igudia","doi":"10.1111/rode.13070","DOIUrl":"https://doi.org/10.1111/rode.13070","url":null,"abstract":"Abstract Analyses of the informal economy are vital to understanding economic activity in developing countries, but challenges abound when analysing something that is so difficult to measure. In this article, we explore these challenges and what they mean for research and research design in studies of the informal economy. We review key economic theories developed to study the informal economy, before critically discussing the range of methods of data collection available for researchers. All approaches to data collection have limitations, yet many studies fail to reflect adequately on these in their design and presentation. In reviewing data sources for economic analyses of informality, we give particular attention to surveys designed and led by academic researchers, the consideration of which is omitted from leading official organisations' own reports on data collection in the informal economy. In the absence of a unifying theory and data sources that deliver the ‘comprehensive and accurate’ data called for by some authors we argue, first, that no one source of data is intrinsically superior; and second, that research on the informal economy must embrace transparency—around the data used, their alignment with the underlying theory adopted, and the detailed arrangements for data collection and analysis.","PeriodicalId":47635,"journal":{"name":"Review of Development Economics","volume":"27 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135819345","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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