|
|
|
|
| LEADER |
03017nmm a2200637 u 4500 |
| 001 |
EB001857123 |
| 003 |
EBX01000000000000001021219 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
181208 ||| eng |
| 020 |
|
|
|a 9781484371701
|
| 100 |
1 |
|
|a Rivas, Lisbeth
|
| 245 |
0 |
0 |
|a Using Administrative Data to Enhance Policymaking in Developing Countries: Tax Data and the National Accounts
|c Lisbeth Rivas, Joe Crowley
|
| 260 |
|
|
|a Washington, D.C.
|b International Monetary Fund
|c 2018
|
| 300 |
|
|
|a 36 pages
|
| 651 |
|
4 |
|a Uganda
|
| 653 |
|
|
|a General Aggregative Models: General
|
| 653 |
|
|
|a Income
|
| 653 |
|
|
|a Databases
|
| 653 |
|
|
|a Data Access
|
| 653 |
|
|
|a Public finance & taxation
|
| 653 |
|
|
|a Taxes
|
| 653 |
|
|
|a Personal income
|
| 653 |
|
|
|a Economic statistics
|
| 653 |
|
|
|a Methodology for Collecting, Estimating, and Organizing Microeconomic Data
|
| 653 |
|
|
|a Data Collection and Data Estimation Methodology
|
| 653 |
|
|
|a Accounting and Auditing: Government Policy and Regulation
|
| 653 |
|
|
|a Methodology for Collecting, Estimating, and Organizing Macroeconomic Data
|
| 653 |
|
|
|a National accounts
|
| 653 |
|
|
|a Personal Income, Wealth, and Their Distributions
|
| 653 |
|
|
|a National income
|
| 653 |
|
|
|a Data capture & analysis
|
| 653 |
|
|
|a Income and capital gains taxes
|
| 653 |
|
|
|a Business Taxes and Subsidies
|
| 653 |
|
|
|a Taxation, Subsidies, and Revenue: General
|
| 653 |
|
|
|a Data collection
|
| 653 |
|
|
|a Economic Methodology
|
| 653 |
|
|
|a Accounting and Auditing: General
|
| 653 |
|
|
|a Macroeconomics
|
| 653 |
|
|
|a Computer Programs: General
|
| 653 |
|
|
|a Economic Growth and Aggregate Productivity: Other
|
| 653 |
|
|
|a Economic and financial statistics
|
| 653 |
|
|
|a Personal Income and Other Nonbusiness Taxes and Subsidies
|
| 653 |
|
|
|a Taxation
|
| 653 |
|
|
|a Value-added tax
|
| 653 |
|
|
|a Spendings tax
|
| 653 |
|
|
|a Income tax
|
| 653 |
|
|
|a Survey Methods
|
| 700 |
1 |
|
|a Crowley, Joe
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b IMF
|a International Monetary Fund
|
| 490 |
0 |
|
|a IMF Working Papers
|
| 028 |
5 |
0 |
|a 10.5089/9781484371701.001
|
| 856 |
4 |
0 |
|u https://elibrary.imf.org/view/journals/001/2018/175/001.2018.issue-175-en.xml?cid=46054-com-dsp-marc
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 330
|
| 520 |
|
|
|a Statistical agencies worldwide are increasingly turning to new data sources, including administrative data, to improve statistical coverage. Administrative data can significantly enhance the quality of national statistics and produce synergies with tax administration and other government agencies, supporting better decision making, policy advice, and economic performance. Compared to economic censuses and business surveys, administrative data are less burdensome to collect and produce more timely, detailed, and accurate data with better coverage. This paper specifically explores the use of value added tax and income tax records to enhance the compilation of national accounts statistics
|