scholarly journals Kenya

2020 ◽  
Vol 20 (30) ◽  
Author(s):  

A monetary and financial statistics (MFS) technical assistance (TA) mission visited Nairobi, Kenya, during December 3–14, 2018.1 The main objectives of the mission were to work with staff of the Central Bank of Kenya (CBK) to (i) review the implementation of the recommendations made by the MFS mission in January 2017; (ii) review the expanded coverage of the standardized report form for other depository corporations (SRF 2SR) including savings and credit cooperatives (SACCOs), microfinance banks (MFBs), and money market funds (MMFs); (iii) review the standardized report form for other financial corporations (SRF 4SR) comprising insurance companies and pension funds; (iv) review the adequacy of the available data for the remaining institutions in the other financial corporations (OFCs) subsector and adaptation of reporting forms to allow the expansion of the coverage of SRF 4SR; and (v) provide three-day training on the compilation of MFS for staff of the CBK and other financial sector regulatory authorities. In collaboration with staff of the CBK, the mission delivered these objectives and agreed with the authorities on an action plan to improve MFS in Kenya. The improvement of MFS contributes to enhancement of policy analysis and decision-making by the CBK.

2019 ◽  
Vol 19 (284) ◽  
Author(s):  

With the support of the International Monetary Fund’s (IMF’s) European Department (EUR), the IMF’s Statistics Department (STA) conducted a financial soundness indicators (FSIs) technical assistance (TA) mission in Chisinau, Moldova, during March 18 29, 2019, to improve Moldova’s FSI compilation. The mission was financed by Netherlands Capacity Development Partnership Program. The mission worked with staff of the National Bank of Moldova (NBM) (i) to review available source data for deposit takers (DTs) and other sectors including other financial corporations (OFCs); and (ii) to review the current FSIs compiled by the NBM with a view to ensure methodological consistency of the FSI compilation with the IMF’s FSI Compilation Guide 2006 (FSI Guide). In collaboration with staff of the NBM, the mission delivered these objectives and agreed with the authorities on an action plan to improve FSIs in Moldova. The improvement of FSIs contributes to enhancement of policy analysis and decision-making by the NBM.


2019 ◽  
Vol 19 (254) ◽  
Author(s):  

At the request of the Central Bank of Montenegro (CBCG), and with the support of the IMF’s European Department (EUR), a monetary and financial statistics (MFS) technical assistance (TA) mission visited Podgorica, Montenegro during December 5–19, 2018.1 Its main objectives were to work with the authorities on: (i) compiling monetary data based on the IMF standardized report forms (SRF), 1SR and SRF 2SR, for the depository corporations (DC);(ii) reviewing the adequacy of the available data for the other financial corporations (OFCs) and preparing the ground work for the compilation of monetary data for OFCs based on the IMF standard report form, SRF 4SR; and (iii) designing a joint plan for regular reporting of monetary statistics to the IMF’s Statistics Department (STA). The mission also aimed at addressing any other methodological issues on MFS that CBCG staff may wish to raise. The mission delivered all these objectives.


2019 ◽  
Vol 19 (163) ◽  
pp. 1
Author(s):  

At the request of the Reserve Bank of New Zealand (RBNZ), and with the support of the IMF’s Asia & Pacific Department (APD), a monetary and financial statistics (MFS) technical assistance (TA) mission visited Wellington, New Zealand during October 1–12, 2018.1 The mission’s main objectives were to assist the RBNZ to: (i) complete the central bank Standardized Report Form (SRF 1SR); (ii) review the source data and bridge table used to produce Other Depository Corporations (ODCs) Standardized Report Form (SRF 2SR);(iii) assist the RBNZ to produce additional historical data in the SRFs 1SR and 2SR for the past five years; (iv) review the available source data for the compilation the Other Financial Corporations (OFCs) Standardized Report Form (SRF 4SR); (v) prepare metadata for the central bank, ODC, and OFC surveys; and (vi) agree on a timetable for RBNZ’s SRF-reporting of its MFS.


Author(s):  
Laurent Dobuzinskis ◽  
Michael Howlett

The ILPA series of country studies displays some significant variation between jurisdictions in terms of the timing and purview of analysis and also shows how the movement towards the application of scientific precepts to policy questions continues to be moderated by adherence to older, more partisan political modes of decision-making and program planning. Despite a discernible trend toward the professionalization of policy advice in most countries, a variety of actors continue to contribute diverse ideas to policy debates, with policy advice systems, and their analytical components, taking diverse forms across nations, sectors and levels of government. In this volume, we present a more systematic and comparative up-to-date understanding of policy analysis practices in Canada than has hitherto been available. This introduction provides an overview of past research into the area and outlines a series of topics and research questions which are addressed in the other contributions to the book.


2019 ◽  
Vol 19 (234) ◽  
pp. 1
Author(s):  

In response to a request of the Central Bank of Djibouti (CBD), a mission from the International Monetary Fund’s (IMF’s) Statistics Department (STA) visited Djibouti during March 4-11, 2018, to provide technical assistance (TA) on the financial soundness indicators (FSIs). The main objectives of the mission were to: (1) ensure that the source data were adequate for the compilation of the FSIs; (2) assist the CBD in the compilation of the FSIs on the basis of the international standards set out in the IMF’s Financial Soundness Indicators Compilation Guide (FSI Guide); (3) guide the staff of the CBD in the preparation of the FSI metadata in line with the IMF metadata forms; and (4) agree with the Banking Supervision Unit (BSU) on an action plan for the production of the FSIs and their regular reporting to STA.


2014 ◽  
Vol 3 (1) ◽  
pp. 22-28
Author(s):  
Mimi Kodheli ◽  
Arjeta Vokshi

Central Bank is one of the most important institutions of a country because its responsibility is to draw and implement the monetary policy. The central bank, in order to accomplish this responsibility, has to have a clearly defined main objective, the instruments that will use to achieve the objective, and it should be able to make precise or very good forecasts of macroeconomic variables. In order to make these forecasts, the central bank should first of all understand every monetary transmission mechanism and determine the most effective one. The success or non-success of monetary policy, living apart the other factors, depends on the monetary regime implemented in the country. In the last years, a lot of countries have implemented the inflation targeting regime. One of the conditions of the implementation of the inflation targeting regime is that the central bank should be able to make precise forecasts. For this reason, the structural macroeconomic models, in these days, have became very used because the central banks have used these models as a basis for the policy decision-making based in forecasts. The main goal of these models is to provide a more structured input for the monetary policy decision making, helping to create a full ‘history’ and helping to explain the consequences of different external shocks and different policy rules.Dynamic Stochastic General Equilibrium (DSGE) model is one of the most used forecasting models in the countries that have implemented the inflation targeting regime. Albania is one of the countries that want to formally implement the inflation targeting regime and give up the monetary targeting regime. Now for now Bank of Albania is using the MEAM model as a macroeconomic model of forecasting. In we look at the experience of the other countries that have implemented the inflation targeting regime and the recommendations of the foreign experts, we can conclude that Bank of Albania should work and should evaluate a DSGE model. This is the main reason why this paper is focused on the theoretical analysis of the DSGE model. In the paper will be presented arguments that explain why this is a good forecasting model for Albania. The arguments will be given based on the analysis of the characteristics of this type of model. Also in this paper we will discuss the advantages and disadvantages of this type of model. This analysis will help us strengthen the arguments about the necessity of use of this model from Bank of Albania.


2020 ◽  
Vol 19 (15) ◽  
Author(s):  

At the request of the Central Bank of Uzbekistan (CBU), and with the support of the IMF’s Middle East and Central Asia Department (MCD), a monetary and financial statistics (MFS) technical assistance (TA) mission visited Tashkent, Uzbekistan, during July 17–August 2, 2019. Its main objectives were to assist the authorities in (i) introducing a country page for Uzbekistan in International Financial Statistics (IFS) with data for the central bank and other depository corporations (ODCs) based on the standardized report forms (SRFs), with complete coverage of the sector and in line with the methodology of the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG); (ii) producing historical series for the central bank and ODC surveys based on SRFs; (iii) developing an integrated monetary database (IMD), which can be used by the authorities for data dissemination and data reporting to the IMF for publication in IFS and surveillance purposes; (iv) working towards the compilation of a quarterly other financial corporations (OFC) survey; (v) reconciling monetary and fiscal data; and (vi) reviewing the quality of Uzbekistan’s financial soundness indicators (FSIs) and expanding their list to the full set of core and additional FSIs for deposit takers (DTs).


Author(s):  
Stefan Scherbaum ◽  
Simon Frisch ◽  
Maja Dshemuchadse

Abstract. Folk wisdom tells us that additional time to make a decision helps us to refrain from the first impulse to take the bird in the hand. However, the question why the time to decide plays an important role is still unanswered. Here we distinguish two explanations, one based on a bias in value accumulation that has to be overcome with time, the other based on cognitive control processes that need time to set in. In an intertemporal decision task, we use mouse tracking to study participants’ responses to options’ values and delays which were presented sequentially. We find that the information about options’ delays does indeed lead to an immediate bias that is controlled afterwards, matching the prediction of control processes needed to counter initial impulses. Hence, by using a dynamic measure, we provide insight into the processes underlying short-term oriented choices in intertemporal decision making.


2010 ◽  
Vol 9 (3) ◽  
pp. 138-144 ◽  
Author(s):  
Gabriele Oettingen ◽  
Doris Mayer ◽  
Babette Brinkmann

Mental contrasting of a desired future with present reality leads to expectancy-dependent goal commitments, whereas focusing on the desired future only makes people commit to goals regardless of their high or low expectations for success. In the present brief intervention we randomly assigned middle-level managers (N = 52) to two conditions. Participants in one condition were taught to use mental contrasting regarding their everyday concerns, while participants in the other condition were taught to indulge. Two weeks later, participants in the mental-contrasting condition reported to have fared better in managing their time and decision making during everyday life than those in the indulging condition. By helping people to set expectancy-dependent goals, teaching the metacognitive strategy of mental contrasting can be a cost- and time-effective tool to help people manage the demands of their everyday life.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Samantha Hollingworth ◽  
Ama Pokuaa Fenny ◽  
Su-Yeon Yu ◽  
Francis Ruiz ◽  
Kalipso Chalkidou

Abstract Background Countries in Sub-Saharan Africa (SSA) are moving towards universal health coverage. The process of Health Technology Assessment (HTA) can support decisions relating to benefit package design and service coverage. HTA involves institutional cooperation with agreed methods and procedural standards. We systematically reviewed the literature on policies and capacity building to support HTA institutionalisation in SSA. Methods We systematically reviewed the literature by searching major databases (PubMed, Embase, etc.) until June 2019 using terms considering three aspects: HTA; health policy, decision making; and SSA. We quantitatively extracted and descriptively analysed content and conducted a narrative synthesis eliciting themes from the selected literature, which varied in study type and apporach. Results Half of the 49 papers identified were primary research studies and mostly qualitative. Five countries were represented in six of ten studies; South Africa, Ghana, Uganda, Cameroon, and Ethiopia. Half of first authors were from SSA. Most informants were policy makers. Five themes emerged: (1) use of HTA; (2) decision-making in HTA; (3) values and criteria for setting priority areas in HTA; (4) involving stakeholders in HTA; and (5) specific examples of progress in HTA in SSA. The first one was the main theme where there was little use of evidence and research in making policy. The awareness of HTA and economic evaluation was low, with inadequate expertise and a lack of local data and tools. Conclusions Despite growing interest in HTA in SSA countries, awareness remains low and HTA-related activities are uncoordinated and often disconnected from policy. Further training and skills development are needed, firmly linked to a strategy focusing on strengthening within-country partnerships, particularly among researchers and policy makers. The international community has an important role here by supporting policy- relevant technical assistance, highlighting that sustainable financing demands evidence-based processes for effective resource allocation, and catalysing knowledge-sharing opportunities among countries facing similar challenges.


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