The South African Revenue Service and National Treasury Firm-Level Panel is an unbalanced panel data set created by merging several sources of administrative tax data received during 2015. The four data sources that constitute the panel are: (i) company income tax from registered firms who submit tax forms; (ii) employee data from employee income tax certificates submitted by employers; (iii) value-added tax data from registered firms; and (iv) customs records from traders. These data sets constitute a significant and unique source for the study of firm-level behaviour in post-apartheid South Africa. We review the key data sources used to construct the panel, highlight some important questions that arise as a result of panel construction, discuss the biases in the resulting data, compare key aggregates in the panel to other data sources, and provide a descriptive overview of the tax records. JEL Classification: C55, C80
This study has been prepared within the UNU-WIDER project on 'Firm-and Industry-level Analysis in South Africa', which is part of a larger research project on 'Regional growth and development in Southern Africa'.
We use firm-level data for the period 2010-2013 to estimate total factor productivity in the South African manufacturing sector. We examine differences in the level and growth of productivity across manufacturing subsectors and examine the heterogeneity in productivity levels within sectors. We find that productivity grew in most subsectors but that there is heterogeneity across subsectors in the pace of growth. We find that firm size is positively correlated with productivity and its growth rate. We also find that there is a productivity premium associated with engaging in R&D and international trade. JEL Classification: D22, D24, O12
The South African Revenue Service and National Treasury Firm-Level Panel is an unbalanced panel data set created by merging several sources of administrative tax data received during 2015. The four data sources that constitute the panel are: (i) company income tax from registered firms who submit tax forms; (ii) employee data from employee income tax certificates submitted by employers; (iii) value-added tax data from registered firms; and (iv) customs records from traders. These data sets constitute a significant and unique source for the study of firm-level behaviour in post-apartheid South Africa. We review the key data sources used to construct the panel, highlight some important questions that arise as a result of panel construction, discuss the biases in the resulting data, compare key aggregates in the panel to other data sources, and provide a descriptive overview of the tax records.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. UNU-WIDER gratefully acknowledges the financial contributions to the research programme from the governments of Denmark, Finland, Sweden, and the United Kingdom. Terms of use: Documents inThe World Institute for Development Economics Research (WIDER) was established by the United Nations University (UNU) as its first research and training centre and started work in Helsinki, Finland in 1985. The Institute undertakes applied research and policy analysis on structural changes affecting the developing and transitional economies, provides a forum for the advocacy of policies leading to robust, equitable and environmentally sustainable growth, and promotes capacity strengthening and training in the field of economic and social policy-making. Work is carried out by staff researchers and visiting scholars in Helsinki and through networks of collaborating scholars and institutions around the world.UNU-WIDER, Katajanokanlaituri 6 B, 00160 Helsinki, Finland, wider.unu.edu The views expressed in this publication are those of the author(s). Publication does not imply endorsement by the Institute or the United Nations University, nor by the programme/project sponsors, of any of the views expressed.Abstract: This paper investigates the expenditure patterns of South African households using detailed cross-sectional expenditure and price data. Linear expenditure system (LES) parameter estimates are used to calculate income and price elasticities for a number of product categories at different points of the income distribution. We find substantial variation in the price and income elasticity of demand of items across the income distribution, with the bottom quartile being extremely sensitive to increases in the price of food and clothing items, and the top quartile being as sensitive as households in developed countries.
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