LATEST PUBLICATIONS
WP-2019-06
Skills Needs Anticipation (SNA): Workplace Skills and Satisfaction (WSS) Baseline Survey of Select Employers in the Construction Industry
WP-2019-05
Strengthening Multi-employer Bargaining: Policies and Practices (Phase II)
WP-2019-04
Non-Hazardous Activities for Children: The Case of Banana and Sugarcane Supply Chains
WP-2019-03
Strengthening Preparedness for Migrant Worker Reintegration: Thematic Analysis and Local Index Tool Development

LATEST AV MATERIALS
PIDS WB 2021-0905
7th Mindanao Policy Research Forum
PIDS WB 2021-0905
Annual Public Policy Conference Webinar 4: Robust and Healthy Workforce and Closing Program
PIDS WB 2021-0904
Annual Public Policy Conference Webinar 3: Green And Inclusive Recovery
PIDS WB 2021-0903
Annual Public Policy Conference Webinar 2: Ethical Business
Publication Detail
WP 1981-08: An Econometric Model for Forecasting Internal Taxes: A National Level Approach

Tax revenue forecasting is an essential input in the budgetary process. The ability to project and forecast future tax collections is an important element in the identification of future budgetary gaps and in the planning of new tax measures that may be needed to meet these needs. In addition, taxes play a major role in financing of the country’s economic and social development. It is the purpose of this paper to develop, specify and estimate a forecasting model for internal taxes. In particular, this paper attempts to estimate a tax-forecasting model that has a higher level of disaggregation.

Philippine Institute for Development Studies
Authors Keywords
Manasan, Rosario G.; Valencia, Ernesto M.; econometric modeling; taxation;
Download PDF Number of Downloads
Published in 1981 and available in the PIDS Library or Downloaded 1,119 times since November 25, 2011
×
Please let us know your reason for downloading this publication. May we also ask you to provide additional information that will help us serve you better? Rest assured that your answers will not be shared with any outside parties. It will take you only two minutes to complete the survey. Thank you.


To use as reference:
If others, (Please specify):
Name: (optional)
Email: (required, but will not display)
Age:
Gender:
If Prefer to self-describe, please specify:
Level of Education:
Occupation:
If employed either part-time or full-time, name of office:
If others, (Please specify):
Would you like to receive the SERP-P UPDATES e-newsletter? Yes No
Use the space below if you have any comment about this publication or SERP-P knowledge resources in general.