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Graph and download economic data for Data Processing and Other Purchased Computer Services for Performing Arts, Spectator Sports, and Related Industries, All Establishments, Employer Firms (DISCONTINUED) (EXPDPSEF711ALLEST) from 2012 to 2017 about performance, sport, arts, employer firms, computers, purchase, processed, establishments, expenditures, services, industry, and USA.
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Graph and download economic data for Total Revenue for Performing Arts Companies, All Establishments, Employer Firms (REVEF7111ALLEST) from 1998 to 2022 about performance, arts, employer firms, accounting, companies, revenue, establishments, services, and USA.
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TwitterThis table contains performance data related to ATCEMS revenue collection processes. When using this data for research or other purposes, please cite it as: Emergency Medical Services Department. (2017). EMS - Monthly Finance Measures [Data set]. City of Austin, Texas Open Data Portal. https://doi.org/10.26000/001.000008. Since this table is updated on a monthly basis, include the date that the table was accessed in the citation.
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Graph and download economic data for Export Revenue for Performing Arts Companies, All Establishments, Employer Firms (ERVEF7111ALLEST) from 2014 to 2022 about performance, arts, employer firms, accounting, companies, revenue, establishments, exports, services, and USA.
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Graph and download economic data for Total Revenue for Independent Artists, Writers, and Performers, All Establishments, Employer Firms (REVEF7115ALLEST) from 1998 to 2022 about performance, arts, employer firms, accounting, revenue, establishments, services, and USA.
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TwitterThis research was conducted in Bulgaria between November 2012 and October 2013, as part of the fifth round of the Business Environment and Enterprise Performance Survey. The objective of the study is to obtain feedback from enterprises in client countries on the state of the private sector. The research is also used to build a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through face-to-face interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.
In Bulgaria, data from 293 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses.
The survey topics include firm characteristics, information about sales and suppliers, competition, infrastructure services, judiciary and law enforcement collaboration, security, government policies, laws and regulations, financing, overall business environment, bribery, capacity utilization, performance and investment activities, and workforce composition.
In 2011, the innovation module was added to the standard set of Enterprise Surveys questionnaires to examine in detail how introduction of new products and practices influence firms' performance and management.
National
The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.
The manufacturing and services sectors are the primary business sectors of interest. This corresponds to firms classified with International Standard Industrial Classification of All Economic Activities (ISIC) codes 15-37, 45, 50-52, 55, 60-64, and 72 (ISIC Rev.3.1). Formal (registered) companies with five or more employees are targeted for interview. Services firms include construction, retail, wholesale, hotels, restaurants, transport, storage, communications, and IT. Firms with 100% government/state ownership are not eligible to participate in Enterprise Surveys.
Sample survey data [ssd]
The sample was selected using stratified random sampling technique. Three levels of stratification were used: industry, establishment size, and region.
Industry was stratified into one manufacturing and two service sectors (retail, and other services).
Size stratification was defined following the standardized definition for the roll-out: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.
Regional stratification was defined in 6 regions (city and the surrounding business area) throughout Bulgaria.
Given the stratified design, sample frames containing a complete and updated list of establishments for the selected regions were required. Great efforts were made to obtain the best source for these listings. However, the quality of the sample frames was not optimal and, therefore, some adjustments were needed to correct for the presence of ineligible units. These adjustments are reflected in the weights computation.
The sample frame used for the survey in Bulgaria was from APIS. The enumerated establishments were then used as the frame for the selection of a sample with the aim of obtaining interviews at 270 establishments with five or more employees.
Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 11.6% (115 out of 990 establishments).
In the dataset, the variables a2 (sampling region), a6a (sampling establishment's size), and a4a (sampling sector) contain the establishment's classification into the strata chosen for each country using information from the sample frame. Variable a4a coded using ISIC Rev 3.1 codes for the chosen industries for stratification. These codes include most manufacturing industries (15 to 37), retail (52), and (45, 50, 51, 55, 60-64, 72) for other services.
Face-to-face [f2f]
The structure of the data base reflects the fact that three different versions of the questionnaire were used. The basic questionnaire, the Core Module, includes all common questions asked to all establishments from all sectors. The second expanded variation, the Manufacturing Questionnaire, is built upon the Core Module and adds some specific questions relevant to manufacturing sectors. The third expanded variation, the Retail Questionnaire, is also built upon the Core Module and adds to the core specific questions relevant to retail firms. Each variation of the questionnaire is identified by the index variable, a0.
Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.
Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether, while the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.
Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond as a different option from don't know. b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.
Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.
The number of realized interviews per contacted establishments was 0.27. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.39.
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TwitterThis research was conducted in Montenegro between February and June 2013, as part of the fifth round of the Business Environment and Enterprise Performance Survey. The objective of the study is to obtain feedback from enterprises in client countries on the state of the private sector. The research is also used to build a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through face-to-face interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.
In Montenegro, data from 150 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses.
The survey topics include firm characteristics, information about sales and suppliers, competition, infrastructure services, judiciary and law enforcement collaboration, security, government policies, laws and regulations, financing, overall business environment, bribery, capacity utilization, performance and investment activities, and workforce composition.
In 2011, the innovation module was added to the standard set of Enterprise Surveys questionnaires to examine in detail how introduction of new products and practices influence firms' performance and management.
National
The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.
The manufacturing and services sectors are the primary business sectors of interest. This corresponds to firms classified with International Standard Industrial Classification of All Economic Activities (ISIC) codes 15-37, 45, 50-52, 55, 60-64, and 72 (ISIC Rev.3.1). Formal (registered) companies with five or more employees are targeted for interview. Services firms include construction, retail, wholesale, hotels, restaurants, transport, storage, communications, and IT. Firms with 100% government/state ownership are not eligible to participate in Enterprise Surveys.
Sample survey data [ssd]
The sample was selected using stratified random sampling technique. Three levels of stratification were used: industry, establishment size, and region.
Industry was stratified into one manufacturing and two service sectors (retail, and other services).
Size stratification was defined following the standardized definition for the roll-out: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.
Regional stratification was defined in 3 regions (city and the surrounding business area) throughout Montenegro.
The sample frame used for the survey was from Central Registry of Commercial Subjects, Tax Administration, Ministry of Finance. The enumerated establishments were then used as the frame for the selection of a sample with the aim of obtaining interviews at 150 establishments with five or more employees.
Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 9.7% (24 out of 247 establishments).
In the dataset, the variables a2 (sampling region), a6a (sampling establishment's size), and a4a (sampling sector) contain the establishment's classification into the strata chosen for each country using information from the sample frame. Variable a4a coded using ISIC Rev 3.1 codes for the chosen industries for stratification. These codes include most manufacturing industries (15 to 37), retail (52), and (45, 50, 51, 55, 60-64, 72) for other services.
Face-to-face [f2f]
The structure of the data base reflects the fact that three different versions of the questionnaire were used. The basic questionnaire, the Core Module, includes all common questions asked to all establishments from all sectors. The second expanded variation, the Manufacturing Questionnaire, is built upon the Core Module and adds some specific questions relevant to manufacturing sectors. The third expanded variation, the Retail Questionnaire, is also built upon the Core Module and adds to the core specific questions relevant to retail firms. Each variation of the questionnaire is identified by the index variable, a0.
Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.
Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether, while the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.
Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond as a different option from don't know. b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.
Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.
The number of realized interviews per contacted establishments was 0.61. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.26.
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Graph and download economic data for Total Expense for Performing Arts Companies, All Establishments, Employer Firms (DISCONTINUED) (EXPEF7111ALLEST) from 2004 to 2012 about performance, arts, employer firms, accounting, companies, establishments, expenditures, services, and USA.
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Graph and download economic data for Total Revenue for Performing Arts Companies, Establishments Subject to Federal Income Tax, Employer Firms (REVEF7111TAXABL) from 1998 to 2022 about performance, arts, employer firms, accounting, companies, revenue, establishments, tax, services, and USA.
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TwitterThe survey was conducted in El Salvador between March-August 2016 as part of Enterprise Surveys project, an initiative of the World Bank. The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries. Only registered businesses are surveyed in the Enterprise Survey.
Data from 719 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. The data was collected using face-to-face interviews.
The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs and labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90 percent of the questions objectively ascertain characteristics of a country's business environment. The remaining questions assess the survey respondents' opinions on what are the obstacles to firm growth and performance.
National
The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.
The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.
Sample survey data [ssd]
Three levels of stratification were used in this country: industry, establishment size, and region.
Industry stratification was designed in the way that follows: the universe was stratified into four manufacturing industries and two services industries- Food and Beverages (ISIC Rev. 3.1 code 15), Textiles and Garments (ISIC codes 17 and 18), Furniture (ISIC code 36), Other Manufacturing (ISIC codes 16, 19-35, 37), Retail (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72).
Size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).
Regional stratification for the El Salvador ES was done across four regions: the San Salvador Metropolitan Area, Greater San Salvador (municipalities of Sensuntepeque, Cojutepeque, Ciudad Arce, Colon, La Libertad, Quezaltepeque, San Juan Opico, Olocuilta, Zacatecoluca, Santo Tomas, and San Vicente), West (Ahuachapan, Chalchuapa, Metapan, Santa Ana, and Sonsonate) and East (La Union, Santa Rosa de Lima, San Francisco Gotera, San Miguel, and Usulutan).
The sample frame consisted of listings of firms from two sources: The panel firms list of 360 firms from the El Salvador 2010 ES was used. For fresh firms (i.e., firms not covered in 2010), firm data from Dirección General de EstadÃstica y Censos (DIGESTYC) was used.
The quality of the frame was assessed at the onset of the project through visits to a random subset of firms and local contractor knowledge. The sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc. In addition, the sample frame contains no telephone/fax numbers so the local contractor had to screen the contacts by visiting them. Due to response rate and ineligibility issues, additional sample had to be extracted by the World Bank in order to obtain enough eligible contacts and meet the sample targets.
Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 24.9% (349 out of 1399 establishments).
Face-to-face [f2f]
The structure of the data base reflects the fact that two different versions of the survey instrument were used for all registered establishments. Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions.
The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions).
Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module).
Each variation of the questionnaire is identified by the index variable, a0.
Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.
Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.
Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect "Refusal to respond" (-8) as a different option from "Don't know" (-9). b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.
Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.
The number of interviews per contacted establishments was 0.52. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.37.
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Graph and download economic data for Purchased Professional and Technical Services for Performing Arts, Spectator Sports, and Related Industries, All Establishments, Employer Firms (DISCONTINUED) (EXPPTSEF711ALLEST) from 2012 to 2017 about performance, sport, arts, employer firms, purchase, professional, establishments, expenditures, services, industry, and USA.
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Graph and download economic data for Total Expense for Independent Artists, Writers, and Performers, All Establishments, Employer Firms (DISCONTINUED) (EXPEF7115ALLEST) from 2004 to 2012 about performance, arts, employer firms, accounting, establishments, expenditures, services, and USA.
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Graph and download economic data for Export Revenue for Independent Artists, Writers, and Performers, All Establishments, Employer Firms (ERVEF7115ALLEST) from 2013 to 2020 about performance, arts, employer firms, accounting, revenue, establishments, exports, services, and USA.
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Graph and download economic data for Total Revenue for Promoters of Performing Arts, Sports, and Similar Events, Establishments Exempt from Federal Income Tax, Employer Firms (REVEF7113TAXEPT) from 1998 to 2022 about tax exempt, performance, sport, arts, employer firms, accounting, revenue, establishments, tax, services, and USA.
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Graph and download economic data for Sources of Revenue: Total Operating Revenue for Performing Arts Companies, Establishments Subject to Federal Income Tax Employer Firms (DISCONTINUED) (REVTOREF7111TAXABL) from 2010 to 2015 about performance, arts, operating, employer firms, accounting, companies, revenue, establishments, tax, services, and USA.
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Graph and download economic data for Sources of Revenue: Admissions Revenue Excluding Admissions Taxes for Performing Arts Companies, Establishments Subject to Federal Income Tax Employer Firms (REVAREEF7111TAXABL) from 2013 to 2022 about performance, admissions, arts, employer firms, accounting, companies, revenue, establishments, tax, services, and USA.
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Graph and download economic data for Total Expense for Performing Arts Companies, Establishments Subject to Federal Income Tax, Employer Firms (DISCONTINUED) (EXPEF7111TAXABL) from 2004 to 2012 about performance, arts, employer firms, accounting, companies, establishments, tax, expenditures, services, and USA.
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Graph and download economic data for Lease and Rental Payments for Performing Arts, Spectator Sports, and Related Industries, All Establishments, Employer Firms (DISCONTINUED) (EXPLRPEF711ALLEST) from 2005 to 2012 about performance, sport, arts, payments, employer firms, accounting, leases, establishments, rent, services, industry, and USA.
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Graph and download economic data for Expensed Equipment for Performing Arts, Spectator Sports, and Related Industries, All Establishments, Employer Firms (DISCONTINUED) (EXPEEQEF711ALLEST) from 2005 to 2017 about performance, amusements, sport, arts, employer firms, accounting, establishments, equipment, expenditures, services, industry, and USA.
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Graph and download economic data for Purchased Communication Services for Performing Arts, Spectator Sports, and Related Industries, All Establishments, Employer Firms (DISCONTINUED) (EXPPCSEF711ALLEST) from 2012 to 2017 about performance, sport, communication, arts, employer firms, purchase, establishments, expenditures, services, industry, and USA.
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Graph and download economic data for Data Processing and Other Purchased Computer Services for Performing Arts, Spectator Sports, and Related Industries, All Establishments, Employer Firms (DISCONTINUED) (EXPDPSEF711ALLEST) from 2012 to 2017 about performance, sport, arts, employer firms, computers, purchase, processed, establishments, expenditures, services, industry, and USA.