Labour Force Survey Panel 3rd Quarter 2017 - 2nd Quarter 2019

Labour Force Survey Panel 3rd Quarter 2017 - 2nd Quarter 2019 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 --------------------------------------------------------------------------------------------- |____|____|____|____|____|__XX|XXXX|XX__| 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.

2017年第三季度至2019年第二季度劳动力调查面板数据
自1972年第一季度起，挪威统计局（SSB）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从业者提供人口职业结构及其随时间演变的相关信息，同时为职业预测与劳动力研究提供基础框架与统计资料。

1996年，AKU进行了重大修订，涵盖调查问卷、数据文件说明以及行业与职业编码标准三大维度。数据采集方式同步变更为计算机辅助电话调查（Computer Assisted Telephone Interviewing，CATI），并启用了基于欧盟NACE Rev.1标准的全新行业分类标准（NOS C 182），该标准分别于2002年与2007年完成更新。与此同时，自1996年起，挪威开始采用基于国际职业分类标准ISCO 88的全新职业分类标准（STYRK）。由于全新职业分类体系未设置对应变量，原有的社会经济地位标识变量被移除。

每第二季度，AKU会新增若干问题，以按照欧盟统计局（Eurostats）及欧盟相关规范采集数据。自1996年起，调查轮换机制调整为每个受访家庭需连续参与8个季度的调查，同期样本抽取方案也进行了优化，以县级行政单位为分层抽样单位。

## AKU面板数据集概览及面板文件详细说明
本数据集基于全新轮换机制下的数据采集工作构建，具体说明如下：1997年第四季度的受访对象为首批可完成8次完整访谈的样本组。

### 样本轮换数据表
样本池 |2012|2013|2014|2015|2016|2017|2018|2019|
季度 |1234|1234|1234|1234|1234|1234|1234|1234|
---------------------------------------------------------------------------------------------
|____|____|__XX|XXXX|XX__|____|____|____| 2016年第二季度
|____|____|___X|XXXX|XXX_|____|____|____| 2016年第三季度
|____|____|____|XXXX|XXXX|____|____|____| 2016年第四季度
---------------------------------------------------------------------------------------------
|____|____|____|_XXX|XXXX|X___|____|____| 2017年第一季度
|____|____|____|__XX|XXXX|XX__|____|____| 2017年第二季度
|____|____|____|___X|XXXX|XXX_|____|____| 2017年第三季度
|____|____|____|____|XXXX|XXXX|____|____| 2017年第四季度
---------------------------------------------------------------------------------------------
|____|____|____|____|____|__XX|XXXX|XX__| 2019年第一季度

面板数据集通过将劳动力调查中同一受访组的8次访谈数据进行关联整合构建而成。上表中标记为X的行代表可完成完整数据关联的样本组，将完成8次调查作为样本入选的核心标准。

年度数据集与季度数据集分别包含首次参与、第二次参与……直至第八次参与的受访对象。权重设置可确保各横截面（即数据列）与全国统计数据保持均衡匹配：若将四个季度的数据合并为年度数据集，需将季度权重除以4，以得到准确的年度加权统计值。

每个面板数据集（即上表中的横向行）均会针对各季度单独设置权重。尽管各季度权重差异不大，但均为独立计算所得，且仅可用于对应季度的数据集分析。加权统计值仅适用于单个样本池，即约占季度总样本量12.5%（1/8）的子样本组，因此需将加权统计值乘以8，以近似推算全国季度总规模。

此处的“近似全国季度总规模”指：由于面板数据构建过程中的样本抽取与退出机制，估算值与官方季度加权统计值可能存在偏差。由于样本退出的影响，估算的加权值会低于全国总统计值。权重设置的核心目的并非还原全国总规模，而是尽可能保证样本的代表性。

挪威统计局目前已为劳动力调查启用全新的估算方法，该方法纳入了更多的行政登记数据。新估算方法的实施使得统计的就业人数较此前方法有所减少，相应的非劳动力人口规模则有所上升，但失业总人数的统计结果变化不大。为提升数据的可比性，2006年及之后的全部时间序列数据均已完成修订。