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This paper examines the macroeconomic interaction between informality and gender inequality in the labor market. A dynamic stochastic general equilibrium model is built to study the impact of gender-targeted policies on female labor force participation, female formal employment, gender wage gap, as well as on aggregate economic outcomes. The model is estimated using Bayesian techniques and Indian data. Although these policies are found to increase female labor force participation and output, lack of sufficient formal job creation due to labor market rigidities leads to an increase in unemployment and informality, and further widens gender gaps in formal employment and wages. Simultaneously implementing such policies with formal job creating policies helps remove these adverse impacts while also leading to significantly larger gains in output.
Labor market --- Sex discrimination in employment --- Women --- Employees --- Market, Labor --- Supply and demand for labor --- Markets --- Employment --- Supply and demand --- Macroeconomics --- Economics --- E-books --- Labor --- Women''s Studies' --- Gender Studies --- Unemployment --- Wages --- Intergenerational Income Distribution --- Aggregate Human Capital --- Aggregate Labor Productivity --- Informal Economy --- Underground Econom --- Economics of Gender --- Non-labor Discrimination --- Labor Discrimination --- Economic Development: Human Resources --- Human Development --- Income Distribution --- Migration --- Demand and Supply of Labor: General --- Labor Economics: General --- Gender studies --- women & girls --- Labour --- income economics --- Social discrimination & equal treatment --- Gender studies, gender groups --- Gender inequality --- Labor markets --- Labor supply --- Gender diversity --- Gender --- Sex discrimination --- Sex role --- Labor economics --- India --- Income economics --- Women & girls --- Women's Studies
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Gender gaps in womens’ economic opportunities—labor market and entrepreneurship—have remained high in India. Lack of adequate collateral limits women entrepreneurs’ ability to access formal finance, leaving them to rely on informal sources, constraining their growth. A small-open economy DSGE model is built to investigate the long-run macroeconomic impacts from closing gender gaps in financial access. Results suggest that an increase in women entrepreneurs access to formal credit results in higher female entrepreneurship and employment, which boosts India’s output by 1.6 percent. However, regulations and gender-specific constraints in the labor market limit potential gains as females’ access to quality jobs in the formal sector remains restricted. The paper shows that the factors influencing the number of females are different from those influencing the share of females in formal economic activity. Combining gender-targeted financial inclusion policies with policies that lower constraints on formal sector employment could boost India’s output by 6.8 percent.
Labor --- Women''s Studies' --- Gender Studies --- Employment --- Unemployment --- Wages --- Intergenerational Income Distribution --- Aggregate Human Capital --- Aggregate Labor Productivity --- Informal Economy --- Underground Econom --- Economics of Gender --- Non-labor Discrimination --- Labor Discrimination --- Economic Development: Human Resources --- Human Development --- Income Distribution --- Migration --- Demand and Supply of Labor: General --- Labor Demand --- Labour --- income economics --- Gender studies --- women & girls --- Social discrimination & equal treatment --- Gender studies, gender groups --- Women --- Labor markets --- Gender inequality --- Self-employment --- Gender diversity --- Gender --- Labor market --- Sex discrimination --- Self-employed --- Sex role --- India --- Income economics --- Women & girls --- Women's Studies
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This paper investigates the implications of lowering formal regulations in labor and product markets on informality and macroeconomic outcomes in India. We estimate a DSGE model with an informal sector, and rigidities in the formal labor and product markets. Along with increasing GDP and employment, deregulation also leads to lower informality and greater product market competition. Slow reallocation of resources between the formal and informal sectors leads to some adverse impacts in the short run that can be minimized by implementing a combined package of reforms. These impacts are shown to be greater in an economy with a larger informal sector.
Manpower policy --- Informal sector (Economics) --- Labor market --- Employees --- Market, Labor --- Supply and demand for labor --- Markets --- Supply and demand --- Macroeconomics --- Economics: General --- International Economics --- Labor --- Finance: General --- Foreign Exchange --- Informal Economy --- Underground Econom --- Trade and Labor Market Interactions --- Open Economy Macroeconomics --- Labor Economics Policies --- Demand and Supply of Labor: General --- Wages, Compensation, and Labor Costs: General --- Unemployment: Models, Duration, Incidence, and Job Search --- General Financial Markets: General (includes Measurement and Data) --- Economic & financial crises & disasters --- Economics of specific sectors --- Labour --- income economics --- Finance --- Financial crises --- Economic sectors --- Labor markets --- Wages --- Unemployment --- Commodity markets --- Financial markets --- Labor costs --- Currency crises --- Informal sector --- Economics --- Commodity exchanges --- India --- Income economics
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Market income inequality in Japan has been on a steady rise since the 1980s, and is now close to the OECD average. Gross and disposable income inequality, on the other hand, have risen much less but remain higher relative to several comparator countries. This paper employs inequality index decompositions by income source using household panel survey data from 2010-19 to identify the factors driving income inequality in Japan. Results indicate that while increase in the employment of females and the elderly in the last decade has helped lower income inequality, this has been offset by them being mostly employed in low-paid part-time nonregular jobs. Rapid aging of the population has also exacerbated income inequality over time. Moreover, while fiscal redistributive effects of social transfers are found to be a somewhat equalizing force, its impact on inequality is relatively weaker.
Aggregate Factor Income Distribution --- Aging --- Capital income --- Demography --- Economic development --- Economic Growth and Aggregate Productivity: General --- Economic growth --- Economics of the Elderly --- Economics of the Handicapped --- Income distribution --- Income inequality --- Income --- Informal Economy --- Labor Force and Employment, Size, and Structure --- Macroeconomics --- National accounts --- Non-labor Market Discrimination --- Population & demography --- Population aging --- Population and demographics --- Underground Econom --- Wage Differentials --- Wage Level and Structure --- Working capital --- Japan
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The share of women in managerial and leadership roles in Japan – in both the public and private sector – are among the lowest across the globe. This paper empirically examines what drives these large gender gaps in leadership in Japan, using the SVAR model. Results suggest — (i) cultural norms where women take up significantly more burden of household and childcare work; (ii) Japan’s unique employment practices (non-regular employment, long in-person working hours); and (iii) the availability of childcare facilities — are the key drivers. Further progress on workstyle reforms, more flexible labor markets, improving the quality of childcare facilities, and raising paternity leave usage will help close these gaps.
Aggregate Human Capital --- Aggregate Labor Productivity --- Child Care --- Children --- Economic theory --- Economics of Gender --- Employment --- Family Planning --- Fertility --- Gender diversity --- Gender inequality --- Gender Studies --- Gender studies --- Gender studies, gender groups --- Gender --- Income economics --- Intergenerational Income Distribution --- Labor Contracts --- Labor Economics Policies --- Labor Economics: General --- Labor --- Labour --- Non-labor Discrimination --- Sex discrimination --- Sex role --- Social discrimination & equal treatment --- Unemployment --- Wages --- Women & girls --- Women --- Women's Studies --- Youth --- Japan
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While digital financial services have made access to finance easier, faster, and less costly, helping to broaden digital financial inclusion, its impact on gender gaps varies across countries. Moreover, women leaders in the fintech industry, although growing, remain scarce. This paper explores the interaction between ‘women’ and ‘fintech’ by examining: (i) the role of women leaders on firm-level performance in the fintech industry; and (ii) the determinants of gender gaps in the usage of digital services to better understand the cross-country differences. Results indicate that greater gender diversity in the executive board is associated with better performance of fintech firms.With regard to determinants of the gender gaps in the usage of digital financial services, we find that higher financial and digital literacy of women is associated with lower gender gaps in digital financial inclusion, and that socio-cultural factors also play a key role.
Macroeconomics --- Economics: General --- Gender Studies --- Women''s Studies' --- Finance: General --- Industries: Financial Services --- Economics of Gender --- Non-labor Discrimination --- Firm Performance: Size, Diversification, and Scope --- Financial Markets and the Macroeconomy --- Monetary Systems --- Standards --- Regimes --- Government and the Monetary System --- Payment Systems --- Economic & financial crises & disasters --- Economics of specific sectors --- Gender studies --- women & girls --- Social discrimination & equal treatment --- Finance --- Computer applications in industry & technology --- Gender studies, gender groups --- Financial technology (fintech) --- Women --- Gender --- Gender inequality --- Financial inclusion --- Financial markets --- Gender diversity --- Fintech --- Technology --- Currency crises --- Informal sector --- Economics --- Sex discrimination --- Financial services industry --- Technological innovations --- Sex role
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Digital financial services have been a key driver of financial inclusion in recent years. While there is evidence that financial inclusion through traditional services has a positive impact on economic growth, do the same results carry over for digital financial inclusion? What drives digital financial inclusion? Why does it advance more in some countries but not in others? Using new indices of financial inclusion developed in Khera et. al. (2021), this paper addresses these questions for 52 developing countries. Using cross-sectional instrument variable procedure, we find that the exogenous component of digital financial inclusion is positively associated with growth in GDP per capita during 2011-2018, which suggests that digital financial inclusion can accelerate economic growth. Fractional logit and random effects empirical estimation identifies access to infrastructure, financial and digital literacy, and quality of institutions as key drivers of digital financial inclusion. These findings are then used to help inform policy recommendations in areas related to the digitization of financial services to promote financial inclusion.
Macroeconomics --- Economics: General --- Finance: General --- Industries: Financial Services --- Foreign Exchange --- Informal Economy --- Underground Econom --- Financial Markets and the Macroeconomy --- Monetary Systems --- Standards --- Regimes --- Government and the Monetary System --- Payment Systems --- Financial Institutions and Services: Government Policy and Regulation --- Economic & financial crises & disasters --- Economics of specific sectors --- Finance --- Computer applications in industry & technology --- Financial inclusion --- Financial markets --- Mobile banking --- Technology --- Financial services --- Currency crises --- Informal sector --- Economics --- Financial services industry --- Banks and banking, Mobile --- Kenya
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Digital financial services have been a key driver of financial inclusion in recent years. While there is evidence that financial inclusion through traditional services has a positive impact on economic growth, do the same results carry over for digital financial inclusion? What drives digital financial inclusion? Why does it advance more in some countries but not in others? Using new indices of financial inclusion developed in Khera et. al. (2021), this paper addresses these questions for 52 developing countries. Using cross-sectional instrument variable procedure, we find that the exogenous component of digital financial inclusion is positively associated with growth in GDP per capita during 2011-2018, which suggests that digital financial inclusion can accelerate economic growth. Fractional logit and random effects empirical estimation identifies access to infrastructure, financial and digital literacy, and quality of institutions as key drivers of digital financial inclusion. These findings are then used to help inform policy recommendations in areas related to the digitization of financial services to promote financial inclusion.
Kenya --- Macroeconomics --- Economics: General --- Finance: General --- Industries: Financial Services --- Foreign Exchange --- Informal Economy --- Underground Econom --- Financial Markets and the Macroeconomy --- Monetary Systems --- Standards --- Regimes --- Government and the Monetary System --- Payment Systems --- Financial Institutions and Services: Government Policy and Regulation --- Economic & financial crises & disasters --- Economics of specific sectors --- Finance --- Computer applications in industry & technology --- Financial inclusion --- Financial markets --- Mobile banking --- Technology --- Financial services --- Currency crises --- Informal sector --- Economics --- Financial services industry --- Banks and banking, Mobile
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While digital financial services have made access to finance easier, faster, and less costly, helping to broaden digital financial inclusion, its impact on gender gaps varies across countries. Moreover, women leaders in the fintech industry, although growing, remain scarce. This paper explores the interaction between ‘women’ and ‘fintech’ by examining: (i) the role of women leaders on firm-level performance in the fintech industry; and (ii) the determinants of gender gaps in the usage of digital services to better understand the cross-country differences. Results indicate that greater gender diversity in the executive board is associated with better performance of fintech firms.With regard to determinants of the gender gaps in the usage of digital financial services, we find that higher financial and digital literacy of women is associated with lower gender gaps in digital financial inclusion, and that socio-cultural factors also play a key role.
Macroeconomics --- Economics: General --- Gender Studies --- Women''s Studies' --- Finance: General --- Industries: Financial Services --- Economics of Gender --- Non-labor Discrimination --- Firm Performance: Size, Diversification, and Scope --- Financial Markets and the Macroeconomy --- Monetary Systems --- Standards --- Regimes --- Government and the Monetary System --- Payment Systems --- Economic & financial crises & disasters --- Economics of specific sectors --- Gender studies --- women & girls --- Social discrimination & equal treatment --- Finance --- Computer applications in industry & technology --- Gender studies, gender groups --- Financial technology (fintech) --- Women --- Gender --- Gender inequality --- Financial inclusion --- Financial markets --- Gender diversity --- Fintech --- Technology --- Currency crises --- Informal sector --- Economics --- Sex discrimination --- Financial services industry --- Technological innovations --- Sex role --- Women & girls --- Women's Studies
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Adoption of technology in the financial services industry (i.e. fintech) has been accelerating in recent years. To systematically and comprehensively assess the extent and progress over time in financial inclusion enabled by technology, we develop a novel digital financial inclusion index. This index is based on payments data covering 52 developing countries for 2014 and 2017, taking into account both access and usage dimentions of digital financial services (DFSs). This index is then combined with the traditional measures of financial inclusion in the literature and aggregated into an overall index of financial inlusion. There are two key findings: first, the adoption of fintech has been a key driver of financial inclusion. Second, there is wide variation across countries and regions, with the greatest progress recorded in Africa and Asia and the Pacific regions. This index should offer a useful analytical tool for researchers and policy makers.
Banks and banking, Mobile --- Classification Methods --- Cluster Analysis --- Currency crises --- Demographic Economics: General --- Demography --- Economic & financial crises & disasters --- Economics of specific sectors --- Economics --- Economics: General --- Factor Models --- Finance --- Finance: General --- Financial inclusion --- Financial Institutions and Services: General --- Financial Institutions and Services: Government Policy and Regulation --- Financial Markets and the Macroeconomy --- Financial markets --- Financial services industry --- Financial services --- Financial technology (fintech) --- Fintech --- General Financial Markets: General (includes Measurement and Data) --- Government and the Monetary System --- Industries: Financial Services --- Informal sector --- Innovation --- Intellectual Property Rights: General --- International Economics --- Macroeconomics --- Mobile banking --- Monetary Systems --- Payment Systems --- Population & demography --- Population and demographics --- Population --- Principal Components --- Regimes --- Research and Development --- Standards --- Technological Change --- Technological innovations --- Technology
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