{"id":1729,"date":"2022-05-02T14:25:07","date_gmt":"2022-05-02T12:25:07","guid":{"rendered":"https:\/\/www.uni.lu\/fdef-fr\/events\/phd-defense-applying-matching-models-with-imperfect-transferable-utility-to-diverse-markets-alessio-monetti\/"},"modified":"2022-05-02T14:25:07","modified_gmt":"2022-05-02T12:25:07","slug":"phd-defense-applying-matching-models-with-imperfect-transferable-utility-to-diverse-markets-alessio-monetti","status":"publish","type":"events","link":"https:\/\/www.uni.lu\/fdef-fr\/events\/phd-defense-applying-matching-models-with-imperfect-transferable-utility-to-diverse-markets-alessio-monetti\/","title":{"rendered":"PHD Defense – Applying matching models with imperfect transferable utility to diverse markets – Alessio Monetti"},"content":{"rendered":"

<\/p>

Supervisor: Prof. Dr. Arnaud Dupuy, University of Luxembourg<\/p>

Title: Applying matching models with imperfect transferable utility to diverse markets<\/p>

The defense will be organized in presenting mode on Campus Kirchberg, room A02.<\/p>

<\/p>

Alessio’s Thesis Abstract:<\/strong><\/p>

The dissertation has presented several applications of matching model with imperfect transferable utility.<\/p>

Chapter 1<\/strong> deals with the preferences of the agents forming the Luxembourg childcare market, namely\u00a0households and childcare providers. The construction of the matching model is complicated by the presence\u00a0of two types of childcare providers (public and private) and the Luxembourg system of prices which\u00a0introduces an important element of friction (price is regulated in the public sector and subsidies are o\u2002eredto households purchasing private care). By employing administrative data of 2016 from the Ministry of\u00a0Education, Childhood and Youth (MECY) and the National Insurance System (IGSS) we \u2002nd out that the\u00a0welfare of the households decreases when the pupil-teacher ratio rises and this is substantially pronouncedfor wealthier households. Afterwards we produce a counterfactual scenario by equalizing the teachers’ wageacross the childcare providers and by assessing its effect on the welfare of households. The \u2002findings show\u00a0that the households improve their welfare by choosing providers with tiny pupil-teacher ratio values.<\/p>

Chapter 2<\/strong> measures the preferences of the agents forming the (US) labor market, namely workers and firms.\u00a0Therefore we build a matching model with imperfect transferable utility occurring between worker and firm\u00a0by emphasizing the frictional role played by the taxation. By employing the 2015 march supplement of the\u00a0Current Population Survey (ASEC) administered by the US Census, we investigate the e\u2002ect of taxation\u00a0on the jobs mismatch which we de\u2002ne through a normative approach as the discrepancy between the level\u00a0of education of the worker and the job quali\u2002cation requirements. The findings clearly indicate that the\u00a0taxation is able to reduce dramatically the capacity of the \u2002rm to compensate for the disutility of the\u00a0worker. The taxation may therefore trigger two contrasting e\u2002ects on the jobs mismatch depending on\u00a0the worker education: highly educated workers would tend to respond to the taxation by choosing jobs for\u00a0which they are overeducated (increasing the jobs mismatch) while workers owning at most the high school\u00a0diploma would react to taxation by choosing jobs more appropriate with their education level (decreasingthe jobs mismatch).<\/p>

Chapter 3<\/strong> investigates the decision mechanisms underlying the fruitful collaborations between university\u00a0department and firm in US. Particularly, we focus on studying the interplay between the geographic proximity (representing the spatial closeness of the agents) and the cognitive proximity (representing the similarity\u00a0of the knowledge base of the agents) in driving the partnerships between university department and firm.\u00a0In that case we build a matching model where the R&D tax credit the company bene\u2002ts represents the element making the transfer between the university department and \u2002rm imperfect. Unfortunately we do not\u00a0have at our disposal a sample disclosing the observed matching between university departments and firms,\u00a0and hence we are compelled to create a dataset ad hoc (by merging a sample of US firms from Compustat\u00a0and a sample of US university departments from National Science Foundation (NSF)). We therefore propose two simulated scenarios: one obtained by varying the level of preferences attached to the geographic\u00a0proximity, the other obtained by varying the level of preferences attached to the cognitive proximity. The\u00a0latter can only be measured ex-post (after simulation), moreover we vary the level of preferences associated\u00a0to the interaction of the \u2002rm R&D intensity with the quality of university department (assuming that the\u00a0complementarity of these variables represents a good indicator of the cognitive similarity). Overall, the\u00a0findings reveal the potential substitutability between cognitive and geographic proximity.<\/p><\/div><\/section>","protected":false},"excerpt":{"rendered":"

Supervisor: Prof. Dr. Arnaud Dupuy, University of LuxembourgTitle: Applying matching models with imperfect transferable utility to diverse marketsThe defense will be organized in presenting mode on Campus Kirchberg, room A02.Alessio’s Thesis Abstract:The dissertation has presented several applications of matching model with imperfect transferable utility.Chapter 1 deals with the preferences of the agents forming the Luxembourg childcare market, namely\u00a0households and childcare providers. The construction of the matching model is complicated by the presence\u00a0of two types of childcare providers (public and private) and the Luxembourg system of prices which\u00a0introduces an important element of friction (price is regulated in the public sector and subsidies are o\u2002eredto households purchasing private care). By employing administrative data of 2016 from the Ministry of\u00a0Education, Childhood and Youth (MECY) and the National Insurance System (IGSS) we \u2002nd out that the\u00a0welfare of the households decreases when the pupil-teacher ratio rises and this is substantially pronouncedfor wealthier households. Afterwards we produce a counterfactual scenario by equalizing the teachers’ wageacross the childcare providers and by assessing its effect on the welfare of households. The \u2002findings show\u00a0that the households improve their welfare by choosing providers with tiny pupil-teacher ratio values.Chapter 2 measures the preferences of the agents forming the (US) labor market, namely workers and firms.\u00a0Therefore we build a matching model with imperfect transferable utility occurring between worker and firm\u00a0by emphasizing the frictional role played by the taxation. By employing the 2015 march supplement of the\u00a0Current Population Survey (ASEC) administered by the US Census, we investigate the e\u2002ect of taxation\u00a0on the jobs mismatch which we de\u2002ne through a normative approach as the discrepancy between the level\u00a0of education of the worker and the job quali\u2002cation requirements. The findings clearly indicate that the\u00a0taxation is able to reduce dramatically the capacity of the \u2002rm to compensate for the disutility of the\u00a0worker. The taxation may therefore trigger two contrasting e\u2002ects on the jobs mismatch depending on\u00a0the worker education: highly educated workers would tend to respond to the taxation by choosing jobs for\u00a0which they are overeducated (increasing the jobs mismatch) while workers owning at most the high school\u00a0diploma would react to taxation by choosing jobs more appropriate with their education level (decreasingthe jobs mismatch).Chapter 3 investigates the decision mechanisms underlying the fruitful collaborations between university\u00a0department and firm in US. Particularly, we focus on studying the interplay between the geographic proximity (representing the spatial closeness of the agents) and the cognitive proximity (representing the similarity\u00a0of the knowledge base of the agents) in driving the partnerships between university department and firm.\u00a0In that case we build a matching model where the R&D tax credit the company bene\u2002ts represents the element making the transfer between the university department and \u2002rm imperfect. Unfortunately we do not\u00a0have at our disposal a sample disclosing the observed matching between university departments and firms,\u00a0and hence we are compelled to create a dataset ad hoc (by merging a sample of US firms from Compustat\u00a0and a sample of US university departments from National Science Foundation (NSF)). We therefore propose two simulated scenarios: one obtained by varying the level of preferences attached to the geographic\u00a0proximity, the other obtained by varying the level of preferences attached to the cognitive proximity. The\u00a0latter can only be measured ex-post (after simulation), moreover we vary the level of preferences associated\u00a0to the interaction of the \u2002rm R&D intensity with the quality of university department (assuming that the\u00a0complementarity of these variables represents a good indicator of the cognitive similarity). Overall, the\u00a0findings reveal the potential substitutability between cognitive and geographic proximity.<\/p>\n","protected":false},"author":0,"featured_media":1730,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"event_start_date":"2022-06-01 14:00:00","event_end_date":"2022-06-01 16:00:00","event_speaker_name":"","event_speaker_link":"","event_is_online":false,"event_location":"Campus Kirchberg, Room A02","event_street":"6, rue Richard Coudenhove-Kalergi ","event_location_link":"","event_zip_code":"L-1359","event_city":"Luxembourg","event_country":"LU"},"events-topic":[301,298],"events-type":[],"organisation":[137,102],"authorship":[],"acf":[],"yoast_head":"\nPHD Defense - Applying matching models with imperfect transferable utility to diverse markets - Alessio Monetti - FDEF I Uni.lu<\/title>\n<meta name=\"description\" content=\"Supervisor: Prof. Dr. Arnaud Dupuy, University of LuxembourgTitle: Applying matching models with imperfect transferable utility to diverse marketsThe defense will be organized in presenting mode on Campus Kirchberg, room A02.Alessio's Thesis Abstract:The dissertation has presented several applications of matching model with imperfect transferable utility.Chapter 1 deals with the preferences of the agents forming the Luxembourg childcare market, namely\u00a0households and childcare providers. The construction of the matching model is complicated by the presence\u00a0of two types of childcare providers (public and private) and the Luxembourg system of prices which\u00a0introduces an important element of friction (price is regulated in the public sector and subsidies are o\u2002eredto households purchasing private care). By employing administrative data of 2016 from the Ministry of\u00a0Education, Childhood and Youth (MECY) and the National Insurance System (IGSS) we \u2002nd out that the\u00a0welfare of the households decreases when the pupil-teacher ratio rises and this is substantially pronouncedfor wealthier households. Afterwards we produce a counterfactual scenario by equalizing the teachers' wageacross the childcare providers and by assessing its effect on the welfare of households. The \u2002findings show\u00a0that the households improve their welfare by choosing providers with tiny pupil-teacher ratio values.Chapter 2 measures the preferences of the agents forming the (US) labor market, namely workers and firms.\u00a0Therefore we build a matching model with imperfect transferable utility occurring between worker and firm\u00a0by emphasizing the frictional role played by the taxation. By employing the 2015 march supplement of the\u00a0Current Population Survey (ASEC) administered by the US Census, we investigate the e\u2002ect of taxation\u00a0on the jobs mismatch which we de\u2002ne through a normative approach as the discrepancy between the level\u00a0of education of the worker and the job quali\u2002cation requirements. The findings clearly indicate that the\u00a0taxation is able to reduce dramatically the capacity of the \u2002rm to compensate for the disutility of the\u00a0worker. The taxation may therefore trigger two contrasting e\u2002ects on the jobs mismatch depending on\u00a0the worker education: highly educated workers would tend to respond to the taxation by choosing jobs for\u00a0which they are overeducated (increasing the jobs mismatch) while workers owning at most the high school\u00a0diploma would react to taxation by choosing jobs more appropriate with their education level (decreasingthe jobs mismatch).Chapter 3 investigates the decision mechanisms underlying the fruitful collaborations between university\u00a0department and firm in US. Particularly, we focus on studying the interplay between the geographic proximity (representing the spatial closeness of the agents) and the cognitive proximity (representing the similarity\u00a0of the knowledge base of the agents) in driving the partnerships between university department and firm.\u00a0In that case we build a matching model where the R&D tax credit the company bene\u2002ts represents the element making the transfer between the university department and \u2002rm imperfect. Unfortunately we do not\u00a0have at our disposal a sample disclosing the observed matching between university departments and firms,\u00a0and hence we are compelled to create a dataset ad hoc (by merging a sample of US firms from Compustat\u00a0and a sample of US university departments from National Science Foundation (NSF)). We therefore propose two simulated scenarios: one obtained by varying the level of preferences attached to the geographic\u00a0proximity, the other obtained by varying the level of preferences attached to the cognitive proximity. The\u00a0latter can only be measured ex-post (after simulation), moreover we vary the level of preferences associated\u00a0to the interaction of the \u2002rm R&D intensity with the quality of university department (assuming that the\u00a0complementarity of these variables represents a good indicator of the cognitive similarity). Overall, the\u00a0findings reveal the potential substitutability between cognitive and geographic proximity.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.uni.lu\/fdef-fr\/events\/phd-defense-applying-matching-models-with-imperfect-transferable-utility-to-diverse-markets-alessio-monetti\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PHD Defense - Applying matching models with imperfect transferable utility to diverse markets - Alessio Monetti\" \/>\n<meta property=\"og:description\" content=\"Supervisor: Prof. Dr. Arnaud Dupuy, University of LuxembourgTitle: Applying matching models with imperfect transferable utility to diverse marketsThe defense will be organized in presenting mode on Campus Kirchberg, room A02.Alessio's Thesis Abstract:The dissertation has presented several applications of matching model with imperfect transferable utility.Chapter 1 deals with the preferences of the agents forming the Luxembourg childcare market, namely\u00a0households and childcare providers. The construction of the matching model is complicated by the presence\u00a0of two types of childcare providers (public and private) and the Luxembourg system of prices which\u00a0introduces an important element of friction (price is regulated in the public sector and subsidies are o\u2002eredto households purchasing private care). By employing administrative data of 2016 from the Ministry of\u00a0Education, Childhood and Youth (MECY) and the National Insurance System (IGSS) we \u2002nd out that the\u00a0welfare of the households decreases when the pupil-teacher ratio rises and this is substantially pronouncedfor wealthier households. Afterwards we produce a counterfactual scenario by equalizing the teachers' wageacross the childcare providers and by assessing its effect on the welfare of households. The \u2002findings show\u00a0that the households improve their welfare by choosing providers with tiny pupil-teacher ratio values.Chapter 2 measures the preferences of the agents forming the (US) labor market, namely workers and firms.\u00a0Therefore we build a matching model with imperfect transferable utility occurring between worker and firm\u00a0by emphasizing the frictional role played by the taxation. By employing the 2015 march supplement of the\u00a0Current Population Survey (ASEC) administered by the US Census, we investigate the e\u2002ect of taxation\u00a0on the jobs mismatch which we de\u2002ne through a normative approach as the discrepancy between the level\u00a0of education of the worker and the job quali\u2002cation requirements. The findings clearly indicate that the\u00a0taxation is able to reduce dramatically the capacity of the \u2002rm to compensate for the disutility of the\u00a0worker. The taxation may therefore trigger two contrasting e\u2002ects on the jobs mismatch depending on\u00a0the worker education: highly educated workers would tend to respond to the taxation by choosing jobs for\u00a0which they are overeducated (increasing the jobs mismatch) while workers owning at most the high school\u00a0diploma would react to taxation by choosing jobs more appropriate with their education level (decreasingthe jobs mismatch).Chapter 3 investigates the decision mechanisms underlying the fruitful collaborations between university\u00a0department and firm in US. Particularly, we focus on studying the interplay between the geographic proximity (representing the spatial closeness of the agents) and the cognitive proximity (representing the similarity\u00a0of the knowledge base of the agents) in driving the partnerships between university department and firm.\u00a0In that case we build a matching model where the R&D tax credit the company bene\u2002ts represents the element making the transfer between the university department and \u2002rm imperfect. Unfortunately we do not\u00a0have at our disposal a sample disclosing the observed matching between university departments and firms,\u00a0and hence we are compelled to create a dataset ad hoc (by merging a sample of US firms from Compustat\u00a0and a sample of US university departments from National Science Foundation (NSF)). We therefore propose two simulated scenarios: one obtained by varying the level of preferences attached to the geographic\u00a0proximity, the other obtained by varying the level of preferences attached to the cognitive proximity. The\u00a0latter can only be measured ex-post (after simulation), moreover we vary the level of preferences associated\u00a0to the interaction of the \u2002rm R&D intensity with the quality of university department (assuming that the\u00a0complementarity of these variables represents a good indicator of the cognitive similarity). 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The construction of the matching model is complicated by the presence\u00a0of two types of childcare providers (public and private) and the Luxembourg system of prices which\u00a0introduces an important element of friction (price is regulated in the public sector and subsidies are o\u2002eredto households purchasing private care). By employing administrative data of 2016 from the Ministry of\u00a0Education, Childhood and Youth (MECY) and the National Insurance System (IGSS) we \u2002nd out that the\u00a0welfare of the households decreases when the pupil-teacher ratio rises and this is substantially pronouncedfor wealthier households. Afterwards we produce a counterfactual scenario by equalizing the teachers' wageacross the childcare providers and by assessing its effect on the welfare of households. The \u2002findings show\u00a0that the households improve their welfare by choosing providers with tiny pupil-teacher ratio values.Chapter 2 measures the preferences of the agents forming the (US) labor market, namely workers and firms.\u00a0Therefore we build a matching model with imperfect transferable utility occurring between worker and firm\u00a0by emphasizing the frictional role played by the taxation. By employing the 2015 march supplement of the\u00a0Current Population Survey (ASEC) administered by the US Census, we investigate the e\u2002ect of taxation\u00a0on the jobs mismatch which we de\u2002ne through a normative approach as the discrepancy between the level\u00a0of education of the worker and the job quali\u2002cation requirements. The findings clearly indicate that the\u00a0taxation is able to reduce dramatically the capacity of the \u2002rm to compensate for the disutility of the\u00a0worker. The taxation may therefore trigger two contrasting e\u2002ects on the jobs mismatch depending on\u00a0the worker education: highly educated workers would tend to respond to the taxation by choosing jobs for\u00a0which they are overeducated (increasing the jobs mismatch) while workers owning at most the high school\u00a0diploma would react to taxation by choosing jobs more appropriate with their education level (decreasingthe jobs mismatch).Chapter 3 investigates the decision mechanisms underlying the fruitful collaborations between university\u00a0department and firm in US. Particularly, we focus on studying the interplay between the geographic proximity (representing the spatial closeness of the agents) and the cognitive proximity (representing the similarity\u00a0of the knowledge base of the agents) in driving the partnerships between university department and firm.\u00a0In that case we build a matching model where the R&D tax credit the company bene\u2002ts represents the element making the transfer between the university department and \u2002rm imperfect. Unfortunately we do not\u00a0have at our disposal a sample disclosing the observed matching between university departments and firms,\u00a0and hence we are compelled to create a dataset ad hoc (by merging a sample of US firms from Compustat\u00a0and a sample of US university departments from National Science Foundation (NSF)). We therefore propose two simulated scenarios: one obtained by varying the level of preferences attached to the geographic\u00a0proximity, the other obtained by varying the level of preferences attached to the cognitive proximity. The\u00a0latter can only be measured ex-post (after simulation), moreover we vary the level of preferences associated\u00a0to the interaction of the \u2002rm R&D intensity with the quality of university department (assuming that the\u00a0complementarity of these variables represents a good indicator of the cognitive similarity). Overall, the\u00a0findings reveal the potential substitutability between cognitive and geographic proximity.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.uni.lu\/fdef-fr\/events\/phd-defense-applying-matching-models-with-imperfect-transferable-utility-to-diverse-markets-alessio-monetti\/","og_locale":"fr_FR","og_type":"article","og_title":"PHD Defense - Applying matching models with imperfect transferable utility to diverse markets - Alessio Monetti","og_description":"Supervisor: Prof. Dr. Arnaud Dupuy, University of LuxembourgTitle: Applying matching models with imperfect transferable utility to diverse marketsThe defense will be organized in presenting mode on Campus Kirchberg, room A02.Alessio's Thesis Abstract:The dissertation has presented several applications of matching model with imperfect transferable utility.Chapter 1 deals with the preferences of the agents forming the Luxembourg childcare market, namely\u00a0households and childcare providers. The construction of the matching model is complicated by the presence\u00a0of two types of childcare providers (public and private) and the Luxembourg system of prices which\u00a0introduces an important element of friction (price is regulated in the public sector and subsidies are o\u2002eredto households purchasing private care). By employing administrative data of 2016 from the Ministry of\u00a0Education, Childhood and Youth (MECY) and the National Insurance System (IGSS) we \u2002nd out that the\u00a0welfare of the households decreases when the pupil-teacher ratio rises and this is substantially pronouncedfor wealthier households. Afterwards we produce a counterfactual scenario by equalizing the teachers' wageacross the childcare providers and by assessing its effect on the welfare of households. The \u2002findings show\u00a0that the households improve their welfare by choosing providers with tiny pupil-teacher ratio values.Chapter 2 measures the preferences of the agents forming the (US) labor market, namely workers and firms.\u00a0Therefore we build a matching model with imperfect transferable utility occurring between worker and firm\u00a0by emphasizing the frictional role played by the taxation. By employing the 2015 march supplement of the\u00a0Current Population Survey (ASEC) administered by the US Census, we investigate the e\u2002ect of taxation\u00a0on the jobs mismatch which we de\u2002ne through a normative approach as the discrepancy between the level\u00a0of education of the worker and the job quali\u2002cation requirements. The findings clearly indicate that the\u00a0taxation is able to reduce dramatically the capacity of the \u2002rm to compensate for the disutility of the\u00a0worker. The taxation may therefore trigger two contrasting e\u2002ects on the jobs mismatch depending on\u00a0the worker education: highly educated workers would tend to respond to the taxation by choosing jobs for\u00a0which they are overeducated (increasing the jobs mismatch) while workers owning at most the high school\u00a0diploma would react to taxation by choosing jobs more appropriate with their education level (decreasingthe jobs mismatch).Chapter 3 investigates the decision mechanisms underlying the fruitful collaborations between university\u00a0department and firm in US. Particularly, we focus on studying the interplay between the geographic proximity (representing the spatial closeness of the agents) and the cognitive proximity (representing the similarity\u00a0of the knowledge base of the agents) in driving the partnerships between university department and firm.\u00a0In that case we build a matching model where the R&D tax credit the company bene\u2002ts represents the element making the transfer between the university department and \u2002rm imperfect. Unfortunately we do not\u00a0have at our disposal a sample disclosing the observed matching between university departments and firms,\u00a0and hence we are compelled to create a dataset ad hoc (by merging a sample of US firms from Compustat\u00a0and a sample of US university departments from National Science Foundation (NSF)). We therefore propose two simulated scenarios: one obtained by varying the level of preferences attached to the geographic\u00a0proximity, the other obtained by varying the level of preferences attached to the cognitive proximity. The\u00a0latter can only be measured ex-post (after simulation), moreover we vary the level of preferences associated\u00a0to the interaction of the \u2002rm R&D intensity with the quality of university department (assuming that the\u00a0complementarity of these variables represents a good indicator of the cognitive similarity). Overall, the\u00a0findings reveal the potential substitutability between cognitive and geographic proximity.","og_url":"https:\/\/www.uni.lu\/fdef-fr\/events\/phd-defense-applying-matching-models-with-imperfect-transferable-utility-to-diverse-markets-alessio-monetti\/","og_site_name":"FDEF FR","article_publisher":"https:\/\/www.facebook.com\/uni.FDEF.lu","og_image":[{"width":2560,"height":2560,"url":"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/18\/2026\/03\/03111953\/FDEF_SM-Profile_1600x1600px-scaled.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_misc":{"Dur\u00e9e de lecture estim\u00e9e":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.uni.lu\/fdef-fr\/events\/phd-defense-applying-matching-models-with-imperfect-transferable-utility-to-diverse-markets-alessio-monetti\/","url":"https:\/\/www.uni.lu\/fdef-fr\/events\/phd-defense-applying-matching-models-with-imperfect-transferable-utility-to-diverse-markets-alessio-monetti\/","name":"PHD Defense - Applying matching models with imperfect transferable utility to diverse markets - Alessio Monetti - FDEF I Uni.lu","isPartOf":{"@id":"https:\/\/www.uni.lu\/fdef-fr\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.uni.lu\/fdef-fr\/events\/phd-defense-applying-matching-models-with-imperfect-transferable-utility-to-diverse-markets-alessio-monetti\/#primaryimage"},"image":{"@id":"https:\/\/www.uni.lu\/fdef-fr\/events\/phd-defense-applying-matching-models-with-imperfect-transferable-utility-to-diverse-markets-alessio-monetti\/#primaryimage"},"thumbnailUrl":"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/18\/2022\/05\/phd_defense_applying_matching_models_with_imperfect_transferable_utility_to_diverse_markets_alessio_monetti.jpg","datePublished":"2022-05-02T12:25:07+00:00","dateModified":"2022-05-02T12:25:07+00:00","description":"Supervisor: Prof. Dr. Arnaud Dupuy, University of LuxembourgTitle: Applying matching models with imperfect transferable utility to diverse marketsThe defense will be organized in presenting mode on Campus Kirchberg, room A02.Alessio's Thesis Abstract:The dissertation has presented several applications of matching model with imperfect transferable utility.Chapter 1 deals with the preferences of the agents forming the Luxembourg childcare market, namely\u00a0households and childcare providers. The construction of the matching model is complicated by the presence\u00a0of two types of childcare providers (public and private) and the Luxembourg system of prices which\u00a0introduces an important element of friction (price is regulated in the public sector and subsidies are o\u2002eredto households purchasing private care). By employing administrative data of 2016 from the Ministry of\u00a0Education, Childhood and Youth (MECY) and the National Insurance System (IGSS) we \u2002nd out that the\u00a0welfare of the households decreases when the pupil-teacher ratio rises and this is substantially pronouncedfor wealthier households. Afterwards we produce a counterfactual scenario by equalizing the teachers' wageacross the childcare providers and by assessing its effect on the welfare of households. The \u2002findings show\u00a0that the households improve their welfare by choosing providers with tiny pupil-teacher ratio values.Chapter 2 measures the preferences of the agents forming the (US) labor market, namely workers and firms.\u00a0Therefore we build a matching model with imperfect transferable utility occurring between worker and firm\u00a0by emphasizing the frictional role played by the taxation. By employing the 2015 march supplement of the\u00a0Current Population Survey (ASEC) administered by the US Census, we investigate the e\u2002ect of taxation\u00a0on the jobs mismatch which we de\u2002ne through a normative approach as the discrepancy between the level\u00a0of education of the worker and the job quali\u2002cation requirements. The findings clearly indicate that the\u00a0taxation is able to reduce dramatically the capacity of the \u2002rm to compensate for the disutility of the\u00a0worker. The taxation may therefore trigger two contrasting e\u2002ects on the jobs mismatch depending on\u00a0the worker education: highly educated workers would tend to respond to the taxation by choosing jobs for\u00a0which they are overeducated (increasing the jobs mismatch) while workers owning at most the high school\u00a0diploma would react to taxation by choosing jobs more appropriate with their education level (decreasingthe jobs mismatch).Chapter 3 investigates the decision mechanisms underlying the fruitful collaborations between university\u00a0department and firm in US. Particularly, we focus on studying the interplay between the geographic proximity (representing the spatial closeness of the agents) and the cognitive proximity (representing the similarity\u00a0of the knowledge base of the agents) in driving the partnerships between university department and firm.\u00a0In that case we build a matching model where the R&D tax credit the company bene\u2002ts represents the element making the transfer between the university department and \u2002rm imperfect. Unfortunately we do not\u00a0have at our disposal a sample disclosing the observed matching between university departments and firms,\u00a0and hence we are compelled to create a dataset ad hoc (by merging a sample of US firms from Compustat\u00a0and a sample of US university departments from National Science Foundation (NSF)). We therefore propose two simulated scenarios: one obtained by varying the level of preferences attached to the geographic\u00a0proximity, the other obtained by varying the level of preferences attached to the cognitive proximity. The\u00a0latter can only be measured ex-post (after simulation), moreover we vary the level of preferences associated\u00a0to the interaction of the \u2002rm R&D intensity with the quality of university department (assuming that the\u00a0complementarity of these variables represents a good indicator of the cognitive similarity). 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