Labour Force Survey Panel 2nd Quarter 2017 – 1st Quarter 2019

Labour Force Survey 2nd quarter 2017 - 1st quarter 2019, panel (8 quarters) As of the 1st quarter of 1972, SSB has conducted official quarterly labour force surveys (AKU). These surveys aim to give the labour force authorities (and other people interested) knowledge of the occupational structure of the population and how it develops over time. The surveys are meant to give a foundation and statistical material for occupational prognoses and labour research. In 1996, AKU was significantly revised: The questionnaire, the file description and the standard for coding of industry and occupation. The data collection also changed to CATI - Computer Assisted Telephone Interviewing. A new classification of industry was put into use (NOS C 182, based on the EU standard NACE, Rev.1). This standard was updated in 2002 and 2007. Also, the new Norwegian standard classification of occupations (STYRK) based on ISCO 88 was used from 1996 and onwards. The variable indicating socio-economic status was omitted, as a similar variable was not developed in the new occupational classification. Every second quarter AKU is extended with a number of questions to collect data accordant to Eurostats / EUs spesifications. From 1996, the rotation schedule changed, each family now attends eight consecutive quarters. As of 1996 the selection shedule was changed as well with stratification at the county level. Summary of AKU panels with detailed explanations for panel files: Data collection for the new rotation plan as the basis for this file is shown below. Participants in the 4th quarter of 1997 is the first batch of 8 possible completed interviews. Pool |2012|2013|2014|2015|2016|2017|2018|2019| Quarte |1234|1234|1234|1234|1234|1234|1234|1234| --------------------------------------------------------------------------------------------- |____|____|__XX|XXXX|XX__|____|____|____| 2016, 2 |____|____|___X|XXXX|XXX_|____|____|____| 2016, 3 |____|____|____|XXXX|XXXX|____|____|____| 2016, 4 --------------------------------------------------------------------------------------------- |____|____|____|_XXX|XXXX|X___|____|____| 2017, 1 |____|____|____|__XX|XXXX|XX__|____|____| 2017, 2 |____|____|____|___X|XXXX|XXX_|____|____| 2017, 3 |____|____|____|____|XXXX|XXXX|____|____| 2017, 4 --------------------------------------------------------------------------------------------- |____|____|____|____|____|_XXX|XXXX|X___| 2019, 1 Panel files are created by linking eight interviews from an ordinary interview round of the Labour Force Survey. In the table above means that one could connect all the batches (lines) marked X. Participation 8 times used as a criterion for selection. Annual files and quarterly files consist of respondents who are participating for 1st time, 2nd time, and so on. The weights allow such cross-sections (columns) can be balanced with national figures. If 4 quarters is merged into an annual volume, the quarterly weights be divided by four to attain correct weighted annual numbers. Each panel (panel files: horisontal in the table) will have a weight compiled for each quarter. Although the weights do not differ much from each other, they will be compiled independently, and each weight should be used only for the data which the quarterly weight is made for. Weighted numbers is valid for one pool, which means ca 12,5 % (1/8) of a total quarterly selection. Therefore, one must multiply by 8 to approximate national quarterly figures By "Approximate national quarterly figures" it means that differences from the quarterly national weighted figures can appear, because of the selections and whitdrawal in the connection of the panels. Because of the whitdrawal inflated numbers will be lower than the national total figures. The main point of the weights is not to is not to give national totals, but rather to ensure the best possible representation. Statistics Norway is now utilising a new estimating method for the Labour Force Survey that includes more registers than earlier. The implementation of a new estimating method result in a lower number of employees than the earlier method and accordingly that the number of persons outside the labour force is higher. The total number of unemployed does not change a lot with the new method. In order to obtain more comparable numbers, the entire time series have been revised from 2006 and onwards.

本数据集为2017年第二季度至2019年第一季度劳动力调查面板数据（追踪周期为8个季度）。自1972年第一季度起，挪威统计局（SSB）便已开展官方季度劳动力调查（AKU）。此类调查旨在为劳动力管理部门及其他相关关注者提供人口职业结构及其随时间演变的相关信息，可为职业预测与劳动力研究提供基础支撑与统计素材。

1996年，AKU进行了重大修订，涵盖问卷、数据集说明以及行业与职业编码标准。数据采集方式也同步调整为计算机辅助电话调查（CATI）；同时启用了基于欧盟标准NACE Rev.1的行业分类标准NOS C 182，该标准分别于2002年与2007年完成更新。此外，自1996年起，正式启用基于国际劳工组织职业分类标准ISCO-88的新版挪威职业分类标准（STYRK）。由于新版职业分类体系未开发对应的社会经济地位变量，原有的社会经济地位指示变量被移除。

每第二季度，AKU会增设一系列问题，以采集符合欧盟统计局（Eurostats）及欧盟规范的数据。自1996年起，调查轮换机制进行了调整，每个受访家庭将连续参与8个季度的调查；同年，抽样方案也进行了优化，采用以县为单位的分层抽样。

以下为AKU面板数据集概况及数据集文件详细说明：本数据集基于新版轮换机制下的数据采集工作构建。1997年第四季度的受访对象为首批可完成8次访谈的样本批次。

样本池 |2012|2013|2014|2015|2016|2017|2018|2019|
季度 |1-4季|1-4季|1-4季|1-4季|1-4季|1-4季|1-4季|1-4季|
---------------------------------------------------------------------------------------------
| | | XX|XXXX|XX | | | | 2016年第2季度
| | | X|XXXX|XXX | | | | 2016年第3季度
| | | |XXXX|XXXX| | | | 2016年第4季度
---------------------------------------------------------------------------------------------
| | | | XXX|XXXX|X | | | | 2017年第1季度
| | | | XX|XXXX|XX | | | | 2017年第2季度
| | | | X|XXXX|XXX | | | | 2017年第3季度
| | | | |XXXX|XXXX| | | | 2017年第4季度
---------------------------------------------------------------------------------------------
| | | | | | XXX|XXXX|X | | 2019年第1季度

面板数据集通过将劳动力调查常规访谈周期中的8次访谈结果进行关联整合而生成。上表中标记为"X"的批次（行）即可进行关联整合，以连续参与8次调查作为样本入选的判定标准。年度数据集与季度数据集分别包含首次参与、第二次参与及后续各轮次的受访对象。

权重设置可使各横截面（即表格列）的数据与全国统计数据保持均衡匹配。若将4个季度的数据合并为年度数据集，则需将季度权重除以4，以得到准确的加权年度统计值。每个面板数据集（即表格中横向排列的行）均会为对应季度生成专属权重；尽管各季度权重之间的差异不大，但所有权重均为独立计算所得，且每个权重仅可用于对应季度生成的数据集。

加权统计值仅适用于单个样本池，即约占季度总抽样量12.5%（1/8）的样本子集。因此，若需近似得到全国季度统计值，需将加权结果乘以8。此处所称的"近似全国季度统计值"，指由于面板数据关联过程中的抽样与样本流失问题，计算结果可能与全国季度加权统计值存在一定偏差；受样本流失影响，加权统计值会低于全国总统计值。

权重设置的核心目的并非获取全国总统计值，而是尽可能保证样本的代表性。挪威统计局（SSB）目前已为劳动力调查启用了全新的估算方法，该方法相较于此前的方案纳入了更多登记数据。新估算方法的应用使得统计得到的就业人数较此前更低，相应地，非劳动力人口的统计数量则有所上升；但失业人口总数量并未出现明显变化。为得到更具可比性的统计数据，2006年及之后的全部时间序列数据均已进行了修订。