994 resultados para Revisor fiscal -- Funciones


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The University of South Carolina at Union reports to the Office of State Budget its annual accountability report that includes an executive summary, a description of the leadership system, customer focus and satisfaction and other performance criteria, mission, and program descriptions and budgets.

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The South Carolina Department of Probation, Parole and Pardon Services annually publish a statistical report providing a description of the offender population and the agency's programs.

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The South Carolina Department of Probation, Parole and Pardon Services annually publish a statistical report providing a description of the offender population and the agency's programs.

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The South Carolina Department of Probation, Parole and Pardon Services annually publish a statistical report providing a description of the offender population and the agency's programs.

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The South Carolina Department of Probation, Parole and Pardon Services annually publish a statistical report providing a description of the offender population and the agency's programs.

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The South Carolina Retirement System Investment Commission publishes an annual plan for the investment objectives and mission of the Retirement System for the fiscal year.

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Coastal Carolina University reports to the Office of State Budget its annual accountability report that includes a discussion and analysis, major accomplishments, strategic planning and performance measurement.

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Each year the South Carolina Legislative Audit Council produces an annual accountability report for the South Carolina General Assembly and the Budget and Control Board. Included is an executive summary, organizational profile, and discussion of the elements of the Malcolm Baldrige Award criteria.

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The South Carolina Office of the Attorney General reports to the Office of State Budget its annual accountability report that includes a mission statement, program goals and objectives, and performance measures.

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Each year the South Carolina Commission on Indigent Defense produces an annual accountability report for the South Carolina General Assembly and the Budget and Control Board. Included is a discussion and analysis, major achievements for the year and goals for the future.

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Each year the South Carolina Department of Natural Resources reports to the Office of State Budget that includes the agency's mission, goals and objectives to accomplish the mission, and performance measures regarding the goals and objectives.

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Each year the Office of the Governor presents an Executive Budget to the General Assembly, consisting of a "complete and itemized plan of all proposed expenditures for each state department, bureau, division, officer, board, commission, institution, or other agency or undertaking."

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The South Carolina State Ethics Commission reports to the Office of State Budget its annual accountability report that includes an organization chart, comparative summary of statistics, and report of programs of the Ethics Commission.

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Previous research on the prediction of fiscal aggregates has shown evidence that simple autoregressive models often provide better forecasts of fiscal variables than multivariate specifications. We argue that the multivariate models considered by previous studies are small-scale, probably burdened by overparameterization, and not robust to structural changes. Bayesian Vector Autoregressions (BVARs), on the other hand, allow the information contained in a large data set to be summarized efficiently, and can also allow for time variation in both the coefficients and the volatilities. In this paper we explore the performance of BVARs with constant and drifting coefficients for forecasting key fiscal variables such as government revenues, expenditures, and interest payments on the outstanding debt. We focus on both point and density forecasting, as assessments of a country’s fiscal stability and overall credit risk should typically be based on the specification of a whole probability distribution for the future state of the economy. Using data from the US and the largest European countries, we show that both the adoption of a large system and the introduction of time variation help in forecasting, with the former playing a relatively more important role in point forecasting, and the latter being more important for density forecasting.