Shadow economy: estimation methods, problems, results and open questions

This paper presents various methods used for estimating the size of the shadow economy. Each method is evaluated and its strengths and weaknesses are discussed, as well as results each method yields. The purpose of the paper is threefold: Firstly, to demonstrate that there is no single infallible me...
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Autor*in:	Schneider, Friedrich - 1949- [verfasserIn] Bühn, Andreas - 1978- [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Übergeordnetes Werk:	Enthalten in: Open economics - Warsaw, Poland : De Gruyter Open, 2018, 1(2018), 1 vom: Juni, Seite 1-29
Übergeordnetes Werk:	volume:1 ; year:2018 ; number:1 ; month:06 ; pages:1-29

Links:	Volltext Volltext Link aufrufen Terms of use

DOI / URN:	10.1515/openec-2017-0001

Katalog-ID:	1662763255

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allfields	10.1515/openec-2017-0001 doi 10419/236577 hdl (DE-627)1662763255 (DE-599)KXP1662763255 DE-627 ger DE-627 rda eng D78 E26 H2 H11 H26 K42 O05 O17 jelc Schneider, Friedrich 1949- verfasserin (DE-588)115634738 (DE-627)077376277 (DE-576)289991595 aut Shadow economy: estimation methods, problems, results and open questions Friedrich Schneider, Andreas Buehn 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents various methods used for estimating the size of the shadow economy. Each method is evaluated and its strengths and weaknesses are discussed, as well as results each method yields. The purpose of the paper is threefold: Firstly, to demonstrate that there is no single infallible method for estimating the size and development of the shadow economy and results can differ significantly between different approaches. The MIMIC approach, discussed in greater detail, is often used due to its flexibility. Secondly, the paper discusses the very definition of the shadow economy and factors contributing to its growth. Finally, latest estimations of the size of the shadow economies of 143 countries over the period 1996 to 2014 are presented. Bühn, Andreas 1978- verfasserin (DE-588)133694909 (DE-627)551109556 (DE-576)300031432 aut Enthalten in Open economics Warsaw, Poland : De Gruyter Open, 2018 1(2018), 1 vom: Juni, Seite 1-29 Online-Ressource (DE-627)894098926 (DE-600)2900479-2 (DE-576)491115032 2451-3458 nnns volume:1 year:2018 number:1 month:06 pages:1-29 https://doi.org/10.1515/openec-2017-0001 Resolving-System kostenfrei Volltext https://www.degruyter.com/downloadpdf/j/openec.2017.1.issue-1/openec-2017-0001/openec-2017-0001.xml Verlag kostenfrei Volltext http://hdl.handle.net/10419/236577 Resolving-System kostenfrei http://creativecommons.org/licenses/by-nc-nd/4.0 Verlag Terms of use GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 1 2018 1 6 1-29 26 01 0206 3417858739 x1k 03-04-19 2403 01 DE-LFER 3795702429 00 --%%-- --%%-- n --%%-- l01 09-11-20 2403 01 DE-LFER https://doi.org/10.1515/openec-2017-0001 2403 01 DE-LFER https://www.degruyter.com/downloadpdf/j/openec.2017.1.issue-1/openec-2017-0001/openec-2017-0001.xml 26 00 DE-206 56 shadow economy estimates 26 00 DE-206 56 MIMIC approach 26 00 DE-206 56 methods to estimate the shadow economy 26 00 DE-206 56 advantages and disadvantages of the methods 26 00 DE-206 56 MIMIC-method 26 00 DE-206 56 calibration procedure 26 00 DE-206 56 light intensity approach
spelling	10.1515/openec-2017-0001 doi 10419/236577 hdl (DE-627)1662763255 (DE-599)KXP1662763255 DE-627 ger DE-627 rda eng D78 E26 H2 H11 H26 K42 O05 O17 jelc Schneider, Friedrich 1949- verfasserin (DE-588)115634738 (DE-627)077376277 (DE-576)289991595 aut Shadow economy: estimation methods, problems, results and open questions Friedrich Schneider, Andreas Buehn 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents various methods used for estimating the size of the shadow economy. Each method is evaluated and its strengths and weaknesses are discussed, as well as results each method yields. The purpose of the paper is threefold: Firstly, to demonstrate that there is no single infallible method for estimating the size and development of the shadow economy and results can differ significantly between different approaches. The MIMIC approach, discussed in greater detail, is often used due to its flexibility. Secondly, the paper discusses the very definition of the shadow economy and factors contributing to its growth. Finally, latest estimations of the size of the shadow economies of 143 countries over the period 1996 to 2014 are presented. Bühn, Andreas 1978- verfasserin (DE-588)133694909 (DE-627)551109556 (DE-576)300031432 aut Enthalten in Open economics Warsaw, Poland : De Gruyter Open, 2018 1(2018), 1 vom: Juni, Seite 1-29 Online-Ressource (DE-627)894098926 (DE-600)2900479-2 (DE-576)491115032 2451-3458 nnns volume:1 year:2018 number:1 month:06 pages:1-29 https://doi.org/10.1515/openec-2017-0001 Resolving-System kostenfrei Volltext https://www.degruyter.com/downloadpdf/j/openec.2017.1.issue-1/openec-2017-0001/openec-2017-0001.xml Verlag kostenfrei Volltext http://hdl.handle.net/10419/236577 Resolving-System kostenfrei http://creativecommons.org/licenses/by-nc-nd/4.0 Verlag Terms of use GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 1 2018 1 6 1-29 26 01 0206 3417858739 x1k 03-04-19 2403 01 DE-LFER 3795702429 00 --%%-- --%%-- n --%%-- l01 09-11-20 2403 01 DE-LFER https://doi.org/10.1515/openec-2017-0001 2403 01 DE-LFER https://www.degruyter.com/downloadpdf/j/openec.2017.1.issue-1/openec-2017-0001/openec-2017-0001.xml 26 00 DE-206 56 shadow economy estimates 26 00 DE-206 56 MIMIC approach 26 00 DE-206 56 methods to estimate the shadow economy 26 00 DE-206 56 advantages and disadvantages of the methods 26 00 DE-206 56 MIMIC-method 26 00 DE-206 56 calibration procedure 26 00 DE-206 56 light intensity approach
allfields_unstemmed	10.1515/openec-2017-0001 doi 10419/236577 hdl (DE-627)1662763255 (DE-599)KXP1662763255 DE-627 ger DE-627 rda eng D78 E26 H2 H11 H26 K42 O05 O17 jelc Schneider, Friedrich 1949- verfasserin (DE-588)115634738 (DE-627)077376277 (DE-576)289991595 aut Shadow economy: estimation methods, problems, results and open questions Friedrich Schneider, Andreas Buehn 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents various methods used for estimating the size of the shadow economy. Each method is evaluated and its strengths and weaknesses are discussed, as well as results each method yields. The purpose of the paper is threefold: Firstly, to demonstrate that there is no single infallible method for estimating the size and development of the shadow economy and results can differ significantly between different approaches. The MIMIC approach, discussed in greater detail, is often used due to its flexibility. Secondly, the paper discusses the very definition of the shadow economy and factors contributing to its growth. Finally, latest estimations of the size of the shadow economies of 143 countries over the period 1996 to 2014 are presented. Bühn, Andreas 1978- verfasserin (DE-588)133694909 (DE-627)551109556 (DE-576)300031432 aut Enthalten in Open economics Warsaw, Poland : De Gruyter Open, 2018 1(2018), 1 vom: Juni, Seite 1-29 Online-Ressource (DE-627)894098926 (DE-600)2900479-2 (DE-576)491115032 2451-3458 nnns volume:1 year:2018 number:1 month:06 pages:1-29 https://doi.org/10.1515/openec-2017-0001 Resolving-System kostenfrei Volltext https://www.degruyter.com/downloadpdf/j/openec.2017.1.issue-1/openec-2017-0001/openec-2017-0001.xml Verlag kostenfrei Volltext http://hdl.handle.net/10419/236577 Resolving-System kostenfrei http://creativecommons.org/licenses/by-nc-nd/4.0 Verlag Terms of use GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 1 2018 1 6 1-29 26 01 0206 3417858739 x1k 03-04-19 2403 01 DE-LFER 3795702429 00 --%%-- --%%-- n --%%-- l01 09-11-20 2403 01 DE-LFER https://doi.org/10.1515/openec-2017-0001 2403 01 DE-LFER https://www.degruyter.com/downloadpdf/j/openec.2017.1.issue-1/openec-2017-0001/openec-2017-0001.xml 26 00 DE-206 56 shadow economy estimates 26 00 DE-206 56 MIMIC approach 26 00 DE-206 56 methods to estimate the shadow economy 26 00 DE-206 56 advantages and disadvantages of the methods 26 00 DE-206 56 MIMIC-method 26 00 DE-206 56 calibration procedure 26 00 DE-206 56 light intensity approach
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allfieldsSound	10.1515/openec-2017-0001 doi 10419/236577 hdl (DE-627)1662763255 (DE-599)KXP1662763255 DE-627 ger DE-627 rda eng D78 E26 H2 H11 H26 K42 O05 O17 jelc Schneider, Friedrich 1949- verfasserin (DE-588)115634738 (DE-627)077376277 (DE-576)289991595 aut Shadow economy: estimation methods, problems, results and open questions Friedrich Schneider, Andreas Buehn 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents various methods used for estimating the size of the shadow economy. Each method is evaluated and its strengths and weaknesses are discussed, as well as results each method yields. The purpose of the paper is threefold: Firstly, to demonstrate that there is no single infallible method for estimating the size and development of the shadow economy and results can differ significantly between different approaches. The MIMIC approach, discussed in greater detail, is often used due to its flexibility. Secondly, the paper discusses the very definition of the shadow economy and factors contributing to its growth. Finally, latest estimations of the size of the shadow economies of 143 countries over the period 1996 to 2014 are presented. Bühn, Andreas 1978- verfasserin (DE-588)133694909 (DE-627)551109556 (DE-576)300031432 aut Enthalten in Open economics Warsaw, Poland : De Gruyter Open, 2018 1(2018), 1 vom: Juni, Seite 1-29 Online-Ressource (DE-627)894098926 (DE-600)2900479-2 (DE-576)491115032 2451-3458 nnns volume:1 year:2018 number:1 month:06 pages:1-29 https://doi.org/10.1515/openec-2017-0001 Resolving-System kostenfrei Volltext https://www.degruyter.com/downloadpdf/j/openec.2017.1.issue-1/openec-2017-0001/openec-2017-0001.xml Verlag kostenfrei Volltext http://hdl.handle.net/10419/236577 Resolving-System kostenfrei http://creativecommons.org/licenses/by-nc-nd/4.0 Verlag Terms of use GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 1 2018 1 6 1-29 26 01 0206 3417858739 x1k 03-04-19 2403 01 DE-LFER 3795702429 00 --%%-- --%%-- n --%%-- l01 09-11-20 2403 01 DE-LFER https://doi.org/10.1515/openec-2017-0001 2403 01 DE-LFER https://www.degruyter.com/downloadpdf/j/openec.2017.1.issue-1/openec-2017-0001/openec-2017-0001.xml 26 00 DE-206 56 shadow economy estimates 26 00 DE-206 56 MIMIC approach 26 00 DE-206 56 methods to estimate the shadow economy 26 00 DE-206 56 advantages and disadvantages of the methods 26 00 DE-206 56 MIMIC-method 26 00 DE-206 56 calibration procedure 26 00 DE-206 56 light intensity approach
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topic_title	D78 E26 H2 H11 H26 K42 O05 O17 jelc 26 00 DE-206 56 shadow economy estimates 26 00 DE-206 56 MIMIC approach 26 00 DE-206 56 methods to estimate the shadow economy 26 00 DE-206 56 advantages and disadvantages of the methods 26 00 DE-206 56 MIMIC-method 26 00 DE-206 56 calibration procedure 26 00 DE-206 56 light intensity approach Shadow economy: estimation methods, problems, results and open questions Friedrich Schneider, Andreas Buehn
topic	jelc D78 26 shadow economy estimates 26 MIMIC approach 26 methods to estimate the shadow economy 26 advantages and disadvantages of the methods 26 MIMIC-method 26 calibration procedure 26 light intensity approach
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title	Shadow economy: estimation methods, problems, results and open questions
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title_full	Shadow economy: estimation methods, problems, results and open questions Friedrich Schneider, Andreas Buehn
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title_sort	shadow economy: estimation methods, problems, results and open questions
title_auth	Shadow economy: estimation methods, problems, results and open questions
abstract	This paper presents various methods used for estimating the size of the shadow economy. Each method is evaluated and its strengths and weaknesses are discussed, as well as results each method yields. The purpose of the paper is threefold: Firstly, to demonstrate that there is no single infallible method for estimating the size and development of the shadow economy and results can differ significantly between different approaches. The MIMIC approach, discussed in greater detail, is often used due to its flexibility. Secondly, the paper discusses the very definition of the shadow economy and factors contributing to its growth. Finally, latest estimations of the size of the shadow economies of 143 countries over the period 1996 to 2014 are presented.
abstractGer	This paper presents various methods used for estimating the size of the shadow economy. Each method is evaluated and its strengths and weaknesses are discussed, as well as results each method yields. The purpose of the paper is threefold: Firstly, to demonstrate that there is no single infallible method for estimating the size and development of the shadow economy and results can differ significantly between different approaches. The MIMIC approach, discussed in greater detail, is often used due to its flexibility. Secondly, the paper discusses the very definition of the shadow economy and factors contributing to its growth. Finally, latest estimations of the size of the shadow economies of 143 countries over the period 1996 to 2014 are presented.
abstract_unstemmed	This paper presents various methods used for estimating the size of the shadow economy. Each method is evaluated and its strengths and weaknesses are discussed, as well as results each method yields. The purpose of the paper is threefold: Firstly, to demonstrate that there is no single infallible method for estimating the size and development of the shadow economy and results can differ significantly between different approaches. The MIMIC approach, discussed in greater detail, is often used due to its flexibility. Secondly, the paper discusses the very definition of the shadow economy and factors contributing to its growth. Finally, latest estimations of the size of the shadow economies of 143 countries over the period 1996 to 2014 are presented.
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title_short	Shadow economy: estimation methods, problems, results and open questions
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