{"doc_desc":{"title":"KEN-KNBS-ICBT-2011-v1.0","idno":"DDI-KEN-KNBS-ICBT-2011-v1.0","producers":[{"name":"Kenya National Bureau of Statistics","abbreviation":"KNBS ","affiliation":"Planning and Devolution","role":"Documentation of the Survey"}],"prod_date":"2014-05-16","version_statement":{"version":"Version 1.0 (May 2014)"}},"study_desc":{"title_statement":{"idno":"KEN-KNBS-ICBT-2011-v1.0","title":"Informal Cross Boarder Trade 2011","alt_title":"ICBT 2011","translated_title":"No Translation"},"authoring_entity":[{"name":"Kenya National Bureau of Statistics (KNBS)","affiliation":"Ministry of Planning and Devolution"}],"production_statement":{"producers":[{"name":"Kenya National Bureau of Statistics","affiliation":"Planning and Devolution","role":""}],"copyright":"(c) 2013, Kenya National Bureau of Statistics","funding_agencies":[{"name":"Ministry of Trade","abbreviation":"MOT","role":"Funding"},{"name":"Central Bank of Kenya","abbreviation":"CBK","role":"Funding"},{"name":"Kenya Revenue Authority","abbreviation":"KRA","role":"Funding"}]},"distribution_statement":{"contact":[{"name":"Director General","affiliation":"Kenya Nationak Bureau of Statistics","email":"","uri":""}]},"series_statement":{"series_name":"Informal Sector Survey [hh\/iss]","series_info":"The survey is carried out yearly  in Kenya. The last one was carried out in June 2013"},"version_statement":{"version":"Version 1.0 (Edited)","version_date":"2011-06-30","version_notes":"Although this is the first round of the survey, it is supposed to be a quarterly survey.  This round is done in the second quarter. (April - June)"},"study_info":{"topics":[{"topic":"Trade","vocab":"World Bank","uri":""},{"topic":"Private Sector and Trade","vocab":"World Bank","uri":""},{"topic":"Export Competitiveness","vocab":"World Bank","uri":""}],"abstract":"External Trade Statistics are macro-economic statistics compiled from the normal administrative process of customs authorities and other agencies. Trade information is crucial in monitoring the flow of resources across international boundaries and is used for compilation of Balance of Payments and National Accounts Statistics.","time_periods":[{"start":"2011-06-01","end":"2011-06-21","cycle":"21"}],"coll_dates":[{"start":"2011-04-01","end":"2011-06-30","cycle":"3 Months"}],"nation":[{"name":"KENYA","abbreviation":"KEN"}],"geog_coverage":"Kenyan Boarder Points","analysis_unit":"Individuals","universe":"National","data_kind":"Sample survey data [ssd]","notes":"The survey has only two major questionnaire as follows:\n\n1.    IMPORTS KENYA NATIONAL BUREAU OF STATISTICS \n2.    EXPORTS KENYA NATIONAL BUREAU OF STATISTICS"},"method":{"data_collection":{"data_collectors":[{"name":"Kenya National Bureau of Statistice","abbreviation":"KNBS","affiliation":"Ministry of Devolution and Planning"}],"sampling_procedure":"The Up-rating Model \nUnder assumption (a) above, for industrial and other products with constant trade flows, during the month of June, 2011with n days (i.e n=30 days) and having a daily average value of industrial and other products of \u00b5i, the total value of inflows\/outflows of industrial and other products during the month of June, 2011 were mathematically presented as: Ai= \u00b5i -------------------------------------------------- (1) Equation (1) shows that to get the monthly value estimates for the month of June, 2011, the average daily values of industrial and other products from survey figures were multiplied by number of days in the month of June, 2011. Hence, equation (1) represents estimated total value of informal exports\/ informal imports of the industrial and other products traded during the month of June, 2011. Therefore, the estimated total value of informal exports\/ informal imports of the industrial and other products traded during the period of three months (April-June, 2011) were expressed mathematically as: AT = Where i = month and AT are total export\/import flow for industrial and other product categories. To up rate informal trade flows of agricultural and other agricultural products during the month of June, 2011 of the survey, assumption (b) was taken into consideration. The monthly aggregate of agricultural trade flows was expressed as the sum of product of the number of particular days in the month of June, 2011. Let dj represent the number of particular days in the month of June, 2011, say four Mondays and \u00a5j the daily average value of agricultural informal exports\/informal imports of a given day computed from the observed trade figures. Then, B = \u00a5j---------------------------------------------------------------------------- (2) Where B, stands for the monthly total value of trade for a given day, say Monday in the month of June, 2011 of agricultural informal exports\/informal imports (i.e. total of all Mondays). n)2(1--------------------S=iin\u00b5 jd 6 \nTherefore, the monthly informal agricultural informal exports\/informal imports aggregate for all days in the month of June, 2011were estimated as: BT= Where j represents days of the week, i.e. Monday, Tuesday\u2026 Sunday. The estimated total value of informal exports\/ informal imports of the agricultural products traded during three months (April-June, 2011), was expressed mathematically as: Where k, stands for the month. )3(\u00a5j1------------------------------S=jjd )4(\u00a5j11--------------------------SS==jjkdOut of the existing 24 border stations, 16 border stations were purposively selected. These comprised Lwakhakha, Malaba and Busia (along Kenya\/Uganda border), Isebania, Namanga, Taveta, Lungalunga and Shimoni (along Kenya\/Tanzania border), Rhamu, Lamu and Mandera (along Kenya\/Somalia border), Mandera and Moyale (along Kenya\/Ethiopia border), and Kapweta, Nandapal and Lokichoggio (along Kenya\/Sudan border).","sampling_deviation":"Out of the 16 selected border stations, data collection was done completely in 13 border points (Busia, Malaba, Isebania, Namanga, Taveta, Lungalunga, Moyale, Mandera, Lokichoggio, Shimoni, Nandapal, Rhamu and Lwakhakha). Due to insecurity concerns coupled with other logistical complications, Kapweta and Lamu border points were not operational. Hence, ICBT survey was not conducted in these areas.","coll_mode":"Face-to-face [f2f]","research_instrument":"The Exports and Imports questionnaier consist of the following: \nHS Code (Office) \t\nItem Name \t\nQuantity \tUnit Code \t\nEst. domestic price per unit \t\nCountry of Origin code \t\nMode of Transport","coll_situation":"Out of the 16 selected border stations, data collection was done completely in 13 border points (Busia, Malaba, Isebania, Namanga, Taveta, Lungalunga, Moyale, Mandera, Lokichoggio, Shimoni, Nandapal, Rhamu and Lwakhakha). Due to insecurity concerns coupled with other logistical complications, Kapweta and Lamu border points were not operational. Hence, ICBT survey was not conducted in these areas.\n\nThe direct observation method of data collection was deemed to be the most cost-effective way of gathering data under border conditions which was far from ideal. Under this technique, Research Assistants positioned themselves strategically at border posts to record all merchandise entering or leaving the country by observation. Daily transactions were first recorded in the counter books. Thereafter, summarized in a predesigned questionnaire \u201cSummary Form A\u201d (see Appendix III).","act_min":"The supervision was carried out by the County Statistical Officers","weight":"Not weighted","cleaning_operations":"The questionnaires were edited in office by data editing staff.","method_notes":"Data Entry was done using CSpro package, data entry clerks were hired to assist with the manual entry"},"analysis_info":{"response_rate":"Refer to the document","sampling_error_estimates":"No estimated sampling error done","data_appraisal":"None"}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"Data and other materials provided by KNBS shall not be redistributed or sold to other individuals, institutions, or organizations without written authority from the Director General.\nData shall be used for statistical purposes only and not for investigation of specific individuals or organizations or any other purpose.\nNo attempt shall be made to produce links among datasets provided by KNBS, or among data from the KNBS and other datasets with a view to identifying individuals or organizations.\nAny books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the KNBS Data Archive will cite the source of data.\nRequests for micro-data shall be serviced upon completion of and submission of the Application Form for Microdata.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Director General","affiliation":"Kenya National Bureau of Statistics","email":"","uri":""}],"cit_req":"The data users shall acknowledge that any available intellectual property rights, including copyright in the data are owned by the KNBS. \nThe data user or client is encouraged to provide KNBS with a copy of such report, paper or article.","conditions":"The following general cost-sharing principles will apply to the dissemination of data:\n\n     Open access data (Public use) - data posted in the KNBS website for download will be available at no charge.\n     Registered access (Licensed) data - data will be availed to sponsors as per agreement between the sponsor and KNBS. \n     A sponsor is any party who contributes directly either materially or financially towards a data production process.\n     Users requesting for specialized services are expected to negotiate and agree on a cost-recovery agreement with the Director General.\n     KNBS may levy fees on statistical information products depending on the type of product, effort expended and the dissemination medium.","disclaimer":"In no event shall KNBS become liable to users of its data, or any other party, for any loss or damages, consequential or otherwise, including but not limited to time, money, or goodwill, arising from the use, operation or modification of the data. In using these data, users further agree to indemnify, defend, and hold harmless KNBS for any an all liability of any nature arising out of or resulting from the lack of accuracy or correctness of the data, or the use of the data."}}}}