Mr. Pierre Cahuc, Stéphane Carcillo, Berengere Patault, and Flavien Moreau
Does labor court uncertainty and judge subjectivity influence firms’ performance? We study the economic consequences of judge decisions by collecting information on more than 145,000 Appeal court rulings, combined with administrative firm-level records covering the whole universe of French firms. The quasi-random assignment of judges to cases reveals that judge bias has statistically significant effects on the survival, employment, and sales of small low-performing firms. However, we find that the uncertainty associated with the actual dispersion of judge bias is small and has a non-significant impact on their average outcomes.
As part of a five-year project of the Enhanced Data Dissemination Initiative (EDDI) 2 Government Finance Statistics (GFS) Module on improving GFS and public-sector debt statistics in selected African countries, a mission was conducted in Harare, Zimbabwe during April 15–26, 2019. This mission was a follow up on a 2018 GFS technical assistance (TA) mission under the EDDI 2. The mission’s objective was to review progress made and assisting with outstanding statistical issues that are important for sound policymaking in Zimbabwe. Some of the key outstanding issues raised by the IMF African Department prior to the mission were, the classification of government subsidies to state owned enterprises (SOEs); the identification of extrabudgetary units (EBUs) and classification of their operations; and the correct classification of other government transactions in line with a Government Finance Statistics Manual (GFSM) 2014 framework.
The contents of this report constitute technical advice provided by the staff of the IMF to the authorities of the Republic of Uzbekistan in response to their request for technical assistance. The main objective of the mission was to assist the Central Bank of the Republic of Uzbekistan (CBU) in improving the collection of statistical data on the balance of payments (BOP), including the adoption of an international transactions reporting system, and to assess progress in implementing the medium-term program for further development of External sector statistics. Along with the successes, the mission noted several shortages in the BOP compilation system. The transfer of the BOP compilation function from the Ministry of the Economy to the CBU, and the transition to Balance of Payments and International Investment Position Manual, sixth edition standards, have led to a data gap between the BOP compiled by two institutions. It is recommended to update the methodology for calculating the currency and deposits of households component per the mission’s recommendations, considering all possible inflows and outflows of foreign currency in cash by individuals.
This paper presents the Technical Assistance report National Accounts Mission in Botswana. As a result of recommendations made during the previous mission, Statistics Botswana (SB) have revised the release date for the rebase of national accounts estimates from March 2020 to December 2020 and updated the workplan accordingly. SB has made progress in finalizing the statistical frame and associated weights to compile gross value added (GVA) estimates for industries in the economic survey and estimates of GVA for the other industries. Once the business frame is determined, SB will have to reconcile the establishments that responded to the economic census ensuring that there is good coverage of industries as well as size of establishments. The previous mission strongly recommended that the release date for the rebased estimates be revised given the workload in rebasing the national accounts. The two temporary staff that have been with the national accounts for approximately 18 months as reported by the previous mission have been extended for a further two years. This is very positive news as they demonstrated a good understanding of the national accounts and a willingness to build their capacity.