We quantify the extent to which public-sector employment crowds out private-sector employment using specially assembled datasets for a large cross-section of developing and advanced countries, and discuss the implications for countries in the Middle East, North Africa, Caucasus and Central Asia. These countries simultaneously display high unemployment rates, low private-sector employment rates and high proportions of government-sector employment. Regressions of either private-sector employment rates or unemployment rates on two measures of public-sector employment point to full crowding out. This means that high rates of public employment, which incur substantial fiscal costs, have a large negative impact on private employment rates and do not reduce overall unemployment rates.

We quantify the extent to which public-sector employment crowds out private-sector employment using specially assembled datasets for a large cross-section of developing and advanced countries, and discuss the implications for countries in the Middle East, North Africa, Caucasus and Central Asia. These countries simultaneously display high unemployment rates, low private-sector employment rates and high proportions of government-sector employment. Regressions of either private-sector employment rates or unemployment rates on two measures of public-sector employment point to full crowding out. This means that high rates of public employment, which incur substantial fiscal costs, have a large negative impact on private employment rates and do not reduce overall unemployment rates.

Employment matters for development because it can raise household income, lower inequality, promote economic growth, and contribute to political stability. Many countries have high rates of public employment, but what effect does this have on overall employment and unemployment rates? This paper investigates if and to what extent public-sector employment crowds out (reduces) private-sector employment. In particular, we estimate regressions of unemployment or private-sector employment on two measures of public-sector employment. The study uses an especially assembled dataset, which is novel for its coverage of a large sample of developing countries as part of a panel of rich and poor countries. Our results point to full or just about full crowding-out for the entire sample. Unlike previous cross-country studies, which were restricted to advanced economies, we are able to show that these results also apply to developing countries, although crowding-out may not be quite as high as in advanced economies. The results mean that high rates of public employment have an offsetting large negative impact on private employment rates and do not reduce overall unemployment rates. With the qualifier that government activities may help the economy in other ways, our results imply that, rather than creating public-sector jobs, scarce fiscal resources could be better spent on other developmental needs.

The first major synthesis of an emerging geography which is undoubtedly changing the way in which academics, planners and policy-makers identify and interpret the spatial development of cities and regions in the 1980s.

Government compensation and employment policies are important for the efficient delivery of public services which are crucial for the functioning of economies and the general prosperity of societies. On average, spending on the wage bill absorbs around one-fifth of total spending. Cross-country variation in wage spending reflects, in part, national choices about the government’s role in priority sectors, as well as variations in the level of economic development and resource constraints.

This timely collection will be the first of its kind to focus on the practical application of the government job guarantee (JG) for both developed and developing economies. Global case studies include: United States, China, Ghana, Argentina, Ireland, Iceland, and India.

The Government Analytics Handbook presents frontier evidence and practitioner insights on how to leverage data to strengthen public administration. Covering a range of microdata sources—such as administrative data and public servant surveys—as well as tools and resources for undertaking the analytics, it transforms the ability of governments to take a data-informed approach to diagnose and improve how public organizations work. Readers can order the book as a single volume in print or digital formats, or visit worldbank.org/governmentanalytics for modular access and additional hands-on tools. The Handbook is a must-have for practitioners, policy makers, academics, and government agencies. “Governments have long been assessed using aggregate governance indicators, giving us little insight into their diversity and how they can practically be improved. This pioneering handbook shows how microdata can be used to give scholars and practitioners granular and real insights into how states work, and practical guidance on the process of state-building.†? —Francis Fukuyama, Stanford University, author of State-Building: Governance and World Order in the 21st Century “The Government Analytics Handbook is the most comprehensive work on practically building government administration I have ever seen, helping practitioners to change public administration for the better.†? —Francisco Gaetani, Special Secretary for State Transformation, Government of Brazil “The machinery of the state is central to a country’s prosperity. This handbook provides insights and methodological tools for creating a better shared understanding of the realities of a state, to support the redesign of institutions, and improve the quality of public administration.†? —James Robinson, University of Chicago, coauthor of Why Nations Fail