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DC2024_S3_Italy_Liani_A.pdf

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UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Expert Meeting on Statistical Data Collection and Sources 22-24 May 2024, Geneva, Switzerland

19 April 2024

New modes of data collection for gaining cooperation from young people The case of the Survey «Children and young people: behavior, attitudes, and future projects»

Pietropaoli S., De Cicco F., Liani S., Rottino F.M. and Stanco A. (Istat, Italy) [email protected] Abstract From October to December 2023, the Italian National Institute of Statistics (Istat) carried out the second edition of the survey «Children and Youth: behavior, attitudes and future plans» with the aim of gathering insights into the daily lives of individuals aged between 11 and 19 residing in Italy. To mitigate potential non-response bias, especially concerning young participants, we implemented new data collection modes. We designed a web questionnaire optimized for and responsive to mobile devices and translated it into 9 languages to encourage participation from the foreigners, a specific target of this survey. The informative letter was designed to be easily readable and with a direct call to action: respondents were given the option to access their questionnaire directly by scanning a customized QR code, providing an alternative to manually entering the link and the username and password. We also introduce an innovative strategy for sending reminders to non-respondents. This involved sending them not only three postal reminders, but also tailored messages via the Io app, a free mobile application that allows Italian citizens to receive notifications from the public administration and use online public services. Implementing these measures resulted in a good response rate for the Italian respondents and a moderately favorable rate for the foreigners. In the paper we’ll give details of the estimated contribution that some of these strategies produced.

  • New modes of data collection for gaining cooperation from young people The case of the Survey «Children and young people: behavior, attitudes, and future projects»

DC2024_S2_Italy_Filiberti_A.pdf

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UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Expert Meeting on Statistical Data Collection and Sources 22-24 May 2024, Geneva, Switzerland

19 April 2024

First assessments of advantages deriving from use of e-invoicing data in short term business statistics

Salvatore Filiberti (Istat, Italy) [email protected] Abstract More and more countries are using electronic invoicing to enable economic units to fulfil their tax obligations. This mode of declaration involves enterprises, mainly for B2B and B2C flows. A scenario is thus envisaged in which e-invoicing will be increasingly systematised and integrated into national tax systems. Within this framework, even Istat, which for its institutional purposes is required to produce estimates of the main economic variables, many of which hinge on the turnover of enterprises, has at its disposal an administrative source, that of the Revenue Agency, with exceptional information potential. The use of such data is strongly suggested by the regulations on official economic statistics, not least to reduce the burden borne by the business community as a whole. In this paper, an initial assessment is made of the impact that the use of e-invoicing tax data may have on the system for producing short-term turnover statistics in Italy. On the basis of first results obtained from an experiment conducted on a limited, but significant, sample of economic units, the IT, methodological, and process-related aspects of business surveys are considered. The main repercussions on the system of enterprises and the quality of the data produced are also assessed.

  • First assessments of advantages deriving from use of e-invoicing data in short term business statistics

DC2024_S2_Italy_Francescangeli_A.pdf

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UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Expert Meeting on Statistical Data Collection and Sources 22-24 May 2024, Geneva, Switzerland

19 April 2024

DATA COLLECTION OF THE ENVIRONMENTAL SURVEY IN CITIES: DATA VALIDATION

Domenico Adamo, Gianpiero Bianchi, Lucia Mongelli, Istat and Paolo Francescangeli (Istat, Italy) [email protected] Abstract Istat National Statistical Program includes an annual survey named “Environmental Data Survey in cities”. It collects environmental information about the capital municipalities of all Italian provinces and metropolitan cities to provide an automatic framework for monitoring of the urban environment and supporting the administrations to guarantee a safe and healthy environment in cities. Prior validation executed on surveyed data during early data collection, permit to ensure a good quality of the data since the start of the data acquisition process. Furthermore, a new approach based on validated data of previous editions with the addition of auxiliary sources is proposed. The proposed methodological approach uses a metalanguage to represent the rules in formal logic. This methodology makes possible to build a highly automated and generalized validation process. The result is increased efficiency of the process itself, higher data quality and consumed resources reduction. Automatic interoperability with the municipalities contributes to increase efficiency of the overall process. The system reduces monitors burden automating most tasks such as the interception of measurement errors, discontinuity of time series and other outliers. The result of the work is an integrated system of generalized services that will function on a formal level useful in many different contexts.

  • DATA COLLECTION OF THE ENVIRONMENTAL SURVEY IN CITIES: DATA VALIDATION

DC2024_S2_Italy_Salvucci_A.pdf

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UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Expert Meeting on Statistical Data Collection and Sources 22-24 May 2024, Geneva, Switzerland

19 April 2024

Conflation of Maps for the Integration of Geospatial Data and Enhancement of Building Registry Quality

Gianluigi Salvucci, Damiano Abbatini, Daniela Ichim, Juri Corradi and Stefania Lucchetti (Istat, Italy) [email protected] Abstract The Integrated System of Statistical Registers (ISSR) is a major strategic programme of the Italian Statistical Institute. Statistical registers are mainly built by a massive integration of administrative data. In different production stages, e.g. construction, quality assessment or dissemination, other data sources may be employed as well. The Statistical Register of Places is a pillar of ISSR. It is a multidimensional and complex register integrating and connecting different spatial units, e.g. addresses, buildings, administrative regions, etc. Among the various components, the Building Registry is the subject of our work. Currently, the only source feeding the Building Registry is the cadastre, which needs to be integrated with other information. As a component of the Statistical Registry of Places, a significant dimension of buildings is its territorial positioning. The quality standards of its cartographic representation can be improved through the integration of other data sources of the same nature, i.e. digital maps. This paper discusses the potential of collecting the information included in a novel geographical database, namely the National Synthesis Database (DBSN). The DBSN is a database released by the Military Geographic Institute, the Italian cartographic institute. This database contains detailed information on buildings from various sources, including regions and OpenStreetMap. The DBSN includes variables like type of building (e.g., palace, tower, skyscraper), usage category (e.g., residential, public office, hospitals…), construction state (built, under construction, ruined), as well as identification of monumental buildings. The paper concentrates on the DBSN usage to improve the completeness of the Statistical Register of Buildings. Indeed, the completeness of the building registry relies on its ability to associate each statistical unit from other registries/sources with a logical entity, e.g. residence or premises. By ensuring spatial accuracy, the geographic integration of the building register and DBSN is expected to enhance data quality evaluations. In the absence of a unique identifying code, the enrichment of the Building Registry, both in terms of statistical units and information, is possible only by leveraging cartographic elements. In other words, object recognition should be performed through spatial overlay operations. When assessing the similarity between different maps, comparisons are geometrically derived. Common indicators include number of vertices, perimeter, area of intersection or some synthesis indicator of similarity. All these measures allow for the consideration of objects in relation to each other through overlapping shapes, taking into account the that discrepancies between maps could lead to incorrect associations. The paper will illustrate some preliminary results obtained by geographically integrating the Istat building register and DBSN. A main objective of the Istat project is the selection of a battery of indicators to be analysed when collecting a new geographical dataset on buildings.

  • Conflation of Maps for the Integration of Geospatial Data and Enhancement of Building Registry Quality

DC2024_S1_Italy_Papa_A.pdf

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UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Expert Meeting on Statistical Data Collection and Sources 22-24 May 2024, Geneva, Switzerland

19 April 2024

Smart manufacturing and opportunities for Official statistics, a focus on SMEs

Pasquale Papa, Paola Bosso, Giovanni Gualberto Di Paolo and Diego Distefano (ISTAT - Italian national statistical institute, Italy) [email protected] Abstract In the framework of paradigm known as “Smart Manufacturing”, the objective of this work is to explore opportunities for Official statistics, in order to identify new sources for business statistics, increasing the efficiency of data collection processes, improving the quality of the data collected. Our attention concerns mainly SMEs, in relation both to their relevant role in economic and statistical systems of many countries and to their lower propensity to innovation. The proposed method starts from a review of the technical characteristics and functionalities of the most widespread advanced ERP platforms, by means of a set of structured interviews carried out, on a voluntary basis, with platform providers. Attention concerns notably the concept of AAS (Asset Administration Shell) as the basic element for the creation of a standardized digital representation of real “assets” and possibilities to realize a safe M2M statistical flow. In a first stage, the analysis of statistical requirements is limited to short-term business surveys. The following step concerns the selection of a small purposive sample of SMEs, considered “technology-ready” according to the information collected by ICT business survey and other informative sources (e.g. contact with industrial associations). The work will present progress of activity and first results.

  • Smart manufacturing and opportunities for Official statistics, a focus on SMEs

DC2024_S1_Italy_Santoro_A.pdf

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UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Expert Meeting on Statistical Data Collection and Sources 22-24 May 2024, Geneva, Switzerland

19 April 2024

Mobile Phone Data for Enhanced Tourism Statistics in Italy: Insights from Vodafone-Istat Project Foundation

Maria Teresa Santoro, Lorenzo Cavallo and Silvia Di Sante (Istat, Italy) [email protected] Abstract Turning to alternative data sources to produce official statistics has become an increasingly focal theme. This work provides an overview of the activities and findings from the concluding phase of the Project Foundation (PJ), a collaborative initiative between Vodafone (MNO) and Istat, still on going, to share this national experience from a thematic point of view. Following a preliminary phase, called Sprint, conducted in Sept-Nov 2020, and aimed at a first exploration of the potential of mobile data in provide estimations/trends on arrivals and nights spent in Italy (domestic tourism and inbound tourism), the PF is exploring some aspects in depth, first of all: the convergence improvement of the conceptual definitions and classifications. The work reports the methodological challenges faced during the first phase of the project, the modifications made, the improvements achieved through the Project Foundation and what it does not work so far. The analysis, focused on 2 Italian Regions and for 16 months, compares Vodafone estimations and Istat official data deriving from the survey “Occupancy in collective accommodation establishments”, and suggests cautious optimism in utilizing mobile data for official tourism statistics and highlights the potential use of MNO data for trend estimations. However, challenges remain, necessitating further refinement and cautious consideration of potential use at national level.

  • Mobile Phone Data for Enhanced Tourism Statistics in Italy: Insights from Vodafone-Istat Project Foundation

DC2024_S1_Italy_Cafieri_A.pdf

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UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Expert Meeting on Statistical Data Collection and Sources 22-24 May 2024, Geneva, Switzerland

19 April 2024

Use of A.I. to use Linkedin as a new source of data

Simona Cafieri (Italian National Institute of Statistics, Italy); Gerardo Masiello, Emanuele Amoruso and Michele Iannone (Università Parthenope) [email protected] Abstract Our analysis was created to find new, sustainable, and easily accessible sources of data, and is realized by implementing a web scraping algorithm on the LinkedIn website. This algorithm allows us to obtain precious information, such as educational backgrounds, previous work experience and much more. Through machine learning we can analyze it, automating the various processes of data collection and analysis, through the creation of reports, and compare it with previous studies and data already stored. The goal is to analyze this data that could be used to connect users with similar interests, needs, training, and employment paths; it could be useful to companies looking for highly qualified personnel, or with very specific training, or it could be used by training providers who want to offer training courses.

  • Use of A.I. to use Linkedin as a new source of data

DC2024_S1_Italy_Bosso_A.pdf

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UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Expert Meeting on Statistical Data Collection and Sources 22-24 May 2024, Geneva, Switzerland

19 April 2024

Designing a multichannel assistance service integrated with AI solutions for respondents

Paola Bosso, Silvana Curatolo, Gabriella Fazzi and Paolo Francescangeli (Italian National Institute of Statistics (Istat), Italy) [email protected] Abstract The Italian National Institute of Statistics provides services related to surveys and data collection systems on various topics. These services include information requests, support in data collection platforms navigation, legal assistance. An external supplier provides multichannel contact center services through toll-free numbers and dedicated email channels. Currently, the assistance service operates on two levels based on the complexity of the request. External contact center operators solve the most common problems using FAQs (first level). Istat experts support cases with higher complexity (second level). In 2023, Istat processed around 260,000 assistance requests from households and enterprises. In 2024, Istat plans to introduce a new integrated assistance service to optimize resources by integrating data flows and simplifying communication between sub-systems. The new service will provide automatic multi- channel interaction processes with respondents using entry-level Artificial Intelligence (AI) solutions. The use of AI could process a significant percentage of tickets, thereby reducing waiting times for respondents and lowering costs for Istat. This paper introduces the new three-level integrated assistance system and describes the automated request classification procedure which uses natural language processing techniques and supervised classification algorithms. The paper also discusses the privacy concerns that may limit the application of AI solutions.

  • Designing a multichannel assistance service integrated with AI solutions for respondents

DC2024_S1_Italy_Villante_A.pdf

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UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Expert Meeting on Statistical Data Collection and Sources 22-24 May 2024, Geneva, Switzerland

19 April 2024

Citizen-generated data and machine learning: an innovative methode to study violence against women

Claudia Villante, Gianpiero Bianchi, Alessandra Capobianchi and Maria Giuseppina Muratore (Italian Institute of National Statistics (Istat), Italy) [email protected] Abstract From 2018 to date ISTAT collects and releases data of 1522 helpline made by Department for Equal Opportunities of the Presidency of the Council of Ministers to support and help victims of gender-based violence and stalking. Collecting and using this citizen-generated data on violence against women is of the outmost importance because complements data collected through administrative sources and dedicated surveys, by providing timely and accurate information, gathered by NGO’s skilled professionals of the service, according also with the technical UN Women/WHO guidance “Improving the collection and use of administrative data on violence against women”. The objective of the paper is to provide guidance on how to collect, process, including with machine learning techniques data from 1522, focusing on the adopted technique of using textual data, from the transcription of calls. The paper presents the motivations, methodological choices and techniques adopted to use an essential and non- traditional data source for understanding the phenomenon of violence against women and to contribute within the multi- sources approach initiated by ISTAT for an increasingly accurate and in-depth study of the phenomenon. The impact that the adopted machine learning methodologies have had on improving quality in the data collection process is also described.

  • Citizen-generated data and machine learning: an innovative methode to study violence against women

The implementation of the new classification ICSE-2018 in Italy as a way to achieve greater systemic consistency of employment statistics, ISTAT, Italy

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The implementation of the new classification ICSE-2018 in Italy as a way to achieve greater systemic consistency of employment statistics.

Group of experts on quality of employment - UNECE

Geneva, 16 May 2024

Ciro Baldi, Maria Carla Congia, Roberta Rizzi, Alessia Sabbatini, Laura Serbassi

Contents

• The role of labour indicators in the statistical system

• The Labor Register (LR) and the Integrated System of Registers (ISR) in Italy

• The implementation of ICSE18 with a systemic view

• Quality indicators derivable from the LR

2

The centrality of labour statistics

3

Labour variables

(measures of

employment,

Time paid/worked,

Labour cost/income

National Accounts

Number of jobs

Number of hours worked

Compensation of employees

Mixed Income

by economic activity and

institutional sector

…. Incomes R.

Education

&Training R.

Representation

by Individual

Labour

Register (LR)

Integrated System of Registers and Labour Statistics

4

Business

Register

Population

Register

Places

Register

Representation

By Economic Unit

Base Registers Thematic Registers Representations/

Extended Registers

Household

Statistics

E x te

rn a l R

e le

a s e s

Other

processes

Integrated System of Registers

Representation

By Job

Business

Statistics

National

Accounts

The Labour Register

• On going project

• It is derived from information of a large number of Administrative sources (about 50)

• It aims to list all regular work relationships in the economy (about 25 millions)

• The main statistical unit is the job position constitued by the employer, the worker, the starting date, the labour form

• The Labour Form is the form the work relationship takes in the Administrative/Legal/Tax System

• Monthly information on:

– characteristics of the job position (type of working time, type of contract, national collective agreement, contractual hours…)

– measures of working time (hours paid, hours worked…)

– Labour Income/Labour Cost (wages and salaries, social contributions)

• It is released yearly within 18 months from the reference year

5

The implementation of ICSE18 in Italy: a systemic view

Step1

Mapping the national labour forms into:

ICSE18

Step 2.1

Operationalization

in the LR

Use of the LR

in Business Statistics

(ICSE-R)

Use of LR and LFS

in National Accounts

(ICSE-R)

Step 2.2

Operationalization

in the LFS

Use of LR and LFS

in Population Census

(ICSE-A/ICSE-R)

Set the standard to design the

questionnaires of other household surveys

(ICSE-A/ICSE-R)

6

• Study of each labour form

• Syinthetic table of characteristics

• Mapping into ICSE18

• Taking into account a systemic view

• Eurostat Guidelines

• Questionnaire Design/

rules

• Pilot Test

➔ICSE18 variable

• Intermediate mapping: info of

Admin Data ➔ labour forms

• Info from the BR

➔ICSE18 variable

The case of Coordinated and Continuous Collaborators (Co.Co.Co.) Characteristic

Type of contract/agreement Employment Contract. It defines the object of the collaboration, work modalities, the starting date, duration,

compensation. Any dispute is submitted to the labor court.

Social Contributions Social Contributions are borne for 2/3 by the Employer\Client and for 1/3 by the Worker. Both parts are paid by

the Employer\Client to the Social Security institution.

The part of the contribution rate borne by the worker are slightly higher than that of a standard employee and the

total contribution rate is slightly lower than that for a standard employee

Income Taxes Income taxes are retained by the Employer\Client and paid by them to the Tax Authority. Moreover, from the

fiscal point of view, the compensation is equated to the income of standard employees.

Type of remuneration The remuneration is frequently paid periodically, often on a monthly basis (theoretically based on work

progress). The remuneration rates are set in some cases according to parameters fixed in National Agreements

between Employers Associations and Workers Unions.

Economic Risk for the worker There is no business risk. More generally, the worker does not risk his/her personal wealth.

Working Time The contract cannot set any constraints on the working time

Means of production The means of production can be either those of the Employer\Client or those of the Worker

Work place The work place can be either that of the Employer\Client or that of the Worker or elsewhere. There must be no

obligation set solely by the Employer/Client in this regard

Work performed with the aid of collaborators No, the work has to be prevalently personal. It’s not possible for the workers to have their employees)

Continuity Within the contract, which has a set duration (usually a few months to a year), the work has to be performed on a

regular\continual basis.

Coordination\Supervision Yes, the work is coordinated by the Employer\ Client

Directive and Disciplinary Power by the

Employer/Client

No, The Employer\Client has no directive\disciplinary power over the worker.

Payroll Yes, the worker has to be registered on the payroll.

Deferred compensation paid at the end of the

contract

No, the contract normally does not foresee any deferred compensation as the contract of standard employees

does

Entitlement to paid holidays and other paid

leaves (excluding sickness, maternity, work

accidents, short time allowance)

No, the type of contract excludes any entitlement to these paid leaves.

Entitlement to Social Benefits related to

sickness, maternity, work accidents

Yes, paid by the Social Security. These rights are lower than those of the standard employees.

Entitlement to Social Benefits related to

short time allowance

No, there is no entitlement to these benefits.

Entitlement to Social Benefits related to

unemployment

Yes, paid by the Social Security. These rights are lower than those of the standard employees.

Entitlement to work related retirement

pensions

Yes, paid by the Social Security.

From a legal point of view,

Co.Co.Co. is an intermediate form

between an employee and a self-

employed. In Italy they are deemed

Para-subordinate

The case of Coordinated and Continuous Collaborators (Co.Co.Co.) Type of

contract/agreement

Employment Contract. It defines the object of the

collaboration, work modalities, the starting date, duration,

compensation. Any dispute is submitted to the labor court.

Social Contributions Social Contributions are borne for 2/3 by the Employer\Client

and for 1/3 by the Worker. Both parts are paid by the

Employer\Client to the Social Security institution.

The part of the contribution rate borne by the worker are

slightly higher than that of a standard employee and the total

contribution rate is slightly lower than that for a standard

employee

Type of remuneration The remuneration is frequently paid periodically, often on a

monthly basis (theoretically based on work progress). The

remuneration rates are set in some cases according to

parameters fixed in National Agreements between Employers

Associations and Workers Unions.

Economic Risk for the

worker

There is no business risk. More generally, the worker does not

risk his/her personal wealth.

Systemic issues and work in progress

• The mapping of labour forms into ICSE18 categories has to take into account a systemic view

• The main issue is that if a worker is classified as a worker for profit the Statistical Business Register must have an economic unit as HME which corresponds to them

• And viceversa: if the business register has an HME, its working owner is a worker for profit

9

The following are only proposals

They are still currently being discussed within the dedicated Istat Task Force (sometimes very lively!)

They will have to be approved by the management.

Two main forms of Co.Co.Co.

Co.Co.Co

In strict sense Employees

Members of the administrative and

control bodies

(and no personal ec.unit)

In Corporations

Without controlling ownership

With controlling ownership

Independent for pay

In HME Independent for profit/DC

10

Occasional services suppliers.

Occasional services suppliers

Voucher-paid

workers Employees

Occasional collaboration

workers

Owner of an economic unit in extended

sense(*)

Independent

For Profit/ DC

11

OR

(*) These include workers registered in relation to tax on the profits made from economic activities, which does not

imply registration of an enterprise

Labor form Current situation (ICSE93) New situation (ICSE18) N. Jobs (yearly

average)

(tentative evaluation)

Co.Co.Co.

In strict sense

LFS: Self-Employed

SBR: not counted in employment (counted

separately as outworkers)

NA: Self-Employed in Household sector

Employees 160k

Co.Co.Co.

Member of Admin

bodies (and no

personal ec.unit)

LFS: Self-Employed

SBR: Self-Employed if owners and

not counted if not

NA: Self-Employed (derogation to ESA for

Corporations and QC)

If in Corporations without

controlling ownership➔Employees

If in Corporations with controlling

ownership➔Independent for pay

If in HME➔Independent for profit

360k(based on Hp:

share <50%)

110k(based on Hp:

share >50%)

18k

Voucher-paid

workers

LFS: Self-Employed

SBR: not counted in employment

NA: Employees

Employees (casual workers) 9k

Occasional

workers-

Collaboration

LFS: Self-Employed

SBR: not counted in employment

NA: mostly not counted in registered

employment (if < threshold on income)

Employees

OR

Independent for profit/DC

(New economic units created)

305k

(1710k)

Consistency between LR and LFS

• LFS Advantages

– Timeliness

– Information on Price setting, Ownership of working tools, Decision on the start and end of working time, Degree of autonomy on tasks in main or last job ➔ Identification of the DC, probably not obtainable by the LR

– Includes unregistered employment

• LR Advantages

– Complete (take-all) coverage of all registered jobs

– Higher precision in the measurement of most of the ICSE18 categories (but not DC)

• The operationalization in the two sources is very different

• Conceptual consistency not necessarily a measurement consistency

13

Operationalisation of ICSE18 in the LFS

The implementation in the LFS has to take into consideration also the constraints set by an Eurostat-led Task Force: • Minimum impact principle=Keep as far as possible the current approach in the

questionnaire. • Do not touch variables involved in the calculation of the labour status. • Top-down approach. • “Component variables” approach, adopting a set of needed variables to derive ICSE.

The definitions of such component variables should ensure enough degrees of freedom not to collide with national specificities.

Moreover it has to take into account the understandability of the questions and of response modalities➔cognitive interviews and pilot testing

Implementation of legal form of economic unit to discriminate between corporations and HME Issues with: controlling ownership status, the classification of co.co.co….

14

Unece employment quality indicators derivable from LR

15

N. UNECE INDICATORS

N. AVAILABLE INDICATORS FROM LR

N. AVAILABLE INDICATORS FROM LR + OTHER SOURCES

DIMENSION 1: SAFETY AND ETHICS OF EMPLOYMENT 12 2 2

DIMENSION 2: INCOME AND BENEFITS FROM EMPLOYMENT 10 6 0

DIMENSION 3: WORKING TIME AND WORK-LIFE BALANCE 15 1 10

DIMENSION 4: SECURITY OF EMPLOYMENT AND SOCIAL PROTECTION 12 5 3

DIMENSION 5: SOCIAL DIALOGUE 4 1 0

DIMENSION 6: SKILLS DEVELOPMENT AND TRAINING 6 0 0

DIMENSION 7: EMPLOYMENT-RELATED RELATIONSHIPS AND WORK MOTIVATION 8 0 1

67 15 16

DIMENSION 1: SAFETY AND ETHICS OF EMPLOYMENT

1c1 pay gap

Pay gap between

subpopulation groups (e.g.,

gender pay gap) 1a1

Fatal occupational

injuries

Rate of fatal occupational

injuries per 100,000

employed persons

1c2

Access to

managerial

occupations

Percentage of employed

persons in population

subgroups (e.g., women) in

managerial occupations

(ISCO-08 major group 1) 1a2

Nonfatal

occupational

injuries

Rate of nonfatal

occupational injuries per

100,000 employed persons

DIMENSION 2: INCOME AND BENEFITS FROM

EMPLOYMENT

2a1 Average earnings

Mean nominal monthly /

hourly earnings of

employees (local currency)

2a2

Employees with

low pay

Percentage of employees

with low pay

2a3 Earnings by deciles

Nominal monthly / hourly

earnings of employees by

deciles (local currency)

2a4

Employment-

related income of

self-employed

Employment-related

income of self-employed by

deciles (local currency)

2b1

Paid leave

entitlement

Percentage of employees

entitled to paid annual

leave

2b4

Sick leave

entitlement

Percentage of employees

entitled to paid sick leave

N. AVAILABLE INDICATORS FROM LR N. AVAILABLE INDICATORS FROM LR + OTHER SOURCES

N. AVAILABLE INDICATORS FROM LR N. AVAILABLE INDICATORS FROM LR + OTHER SOURCES

For instance, with respect to dimension 1 and 2…

Other indicators • Beyond the Unece indicators, from the LR+ISR other indicators (not available from the LFS) are

obtainable leveraging its information and characteristics of longitudinality. Some examples that can be analized by ICSE categories are:

• Indicators on the work intensity based on:

– N. of hours paid(worked) in a year (or other reference period)

– Extensive (along the period) and intensive (along the day) margins of working time

• Indicators on the stability based on:

– N. of days in which each worker has had an active work relationship in a reference period

– N. of days spent without a job

– N. of jobs changed in a reference period

– Changes from an ICSE category to another

• Indicators on employment related income and its changes and relationships with job-changes based on:

– Number of workers who changed their income significantly

– Movement along the income distribution (across quantiles, in/out low wage area…)

16

Thank You very much for the attention!

  • Slide 1: The implementation of the new classification ICSE-2018 in Italy as a way to achieve greater systemic consistency of employment statistics.
  • Slide 2: Contents
  • Slide 3: The centrality of labour statistics
  • Slide 4: Integrated System of Registers and Labour Statistics
  • Slide 5: The Labour Register
  • Slide 6: The implementation of ICSE18 in Italy: a systemic view
  • Slide 7: The case of Coordinated and Continuous Collaborators (Co.Co.Co.)
  • Slide 8: The case of Coordinated and Continuous Collaborators (Co.Co.Co.)
  • Slide 9: Systemic issues and work in progress
  • Slide 10: Two main forms of Co.Co.Co.
  • Slide 11: Occasional services suppliers.
  • Slide 12
  • Slide 13: Consistency between LR and LFS
  • Slide 14: Operationalisation of ICSE18 in the LFS
  • Slide 15: Unece employment quality indicators derivable from LR
  • Slide 16: Other indicators
  • Slide 17: Thank You very much for the attention!