Education Economy and Coaching Migration

Migration Chapter 121 followed migration earnings back into household consumption and housing. Chapter 122 examines a different outward flow: money and young people moving toward schools, colleges, coaching centres and examination hubs. Education is both a social good and a market. Families buy tuition, transport, books, digital access, accommodation and repeated examination attempts; towns earn income from classrooms, hostels, messes, printing, rentals and mobility; and students convert time and money into credentials whose labour-market value is uncertain. In Mithila, Vajji and Anga, this education economy links villages and district towns with Darbhanga, Muzaffarpur, Bhagalpur and other centres, with Patna as a major Bihar-wide hub, and with national destinations such as Kota, Delhi NCR and Varanasi. On the Nepal side, Janakpur and other Madhesh towns connect to Kathmandu, provincial campuses, Indian institutions and overseas higher education. The structural pressure behind this movement is visible in dated official data. AISHE 2021–22 recorded Bihar's higher-education gross enrolment ratio at 17.1 per cent, compared with 28.4 per cent for India. That gap does not prove that every student migrates, but it helps explain why access to specialised institutions remains uneven and why families treat mobility as part of an educational strategy. At school level, UDISE+ and ASER show a much larger institutional base but continuing differences in transition, learning and school resources. These datasets measure distinct things and should not be collapsed into one ranking of educational quality. Coaching is especially difficult to measure. Bihar has had the Bihar Coaching Institute (Control and Regulation) Act since 2010; Patna now maintains an official coaching-registration portal; and the Union Ministry of Education issued model Guidelines for Regulation of Coaching Centers in January 2024. Yet administrative registration is not a complete census of students, fees or turnover. Contemporary press reports describing Patna as one of India's largest coaching hubs are useful evidence of scale and perception, but their market estimates must be treated as reported estimates rather than official counts. This chapter therefore combines official education data, regulation, household finance, migration evidence and market observation while keeping their evidentiary status explicit. 122.1 Education as a household investment For households, education expenditure is rarely a single annual fee. It is a sequence of decisions extending from uniforms, books and transport to private tuition, examination forms, digital subscriptions, coaching fees, hostel deposits and relocation. Families may finance these costs from current income, remittances, crop sales, savings, informal borrowing or formal credit. The expected return is also multidimensional: literacy and capability, social status, eligibility for public employment, entry into a profession, and the possibility of upward mobility beyond agriculture or casual labour. This makes education an investment, but not one with a guaranteed financial yield. A failed entrance attempt or an incomplete degree can leave the household with debt and lost time even when some learning has occurred. The economic history of education must therefore study expenditure, opportunity cost and risk together. In migration-dependent households, remittances from one sibling or parent may finance another member's education, linking Chapter 120's labour migration and Chapter 121's remittance flows directly to the education market. The result is an intergenerational portfolio: one migrant's earnings may pay for another household member's attempt to escape the same labour segment. HISTORY OF MITHILA, VAJJI & ANGA — VOLUME II Figure 484 — The education economy links household expenditure, learning services, mobility, credentials, local service demand and labour-market transition. 122.2 Schooling, tuition and the shadow education market Private tuition is often described as an optional supplement to school, but in many competitive settings it becomes an expected second layer of schooling. The 'shadow education' concept is useful because tutoring expands alongside formal education while depending on the curriculum and examinations produced by that formal system. In Mithila, Vajji and Anga, the market ranges from a teacher tutoring a few neighbourhood pupils to organised batches, subject-specific centres, examination coaching and national online platforms. These forms have different cost structures and regulatory visibility. Local tuition can reduce travel and allow girls or younger students to remain close to home; large coaching centres can offer specialised faculty, testing systems and peer competition. The existence of tuition does not by itself prove school failure. Households may buy it for acceleration, competitive advantage or reassurance even when schools function adequately. Conversely, where school attendance, teacher availability or learning outcomes are weak, tutoring can become compensatory. Historical analysis therefore asks why tuition is purchased, who can afford it, how much time it absorbs, and whether it widens or narrows differences in learning and examination performance. 122.3 Learning gaps and demand for supplementation ASER's recurring rural assessments are important because they separate school enrolment from foundational learning. The 2024 round again documents substantial state-level variation in reading and arithmetic, while UDISE+ records the formal school system's enrolment, institutions, teachers and transition indicators. Neither dataset is a direct measure of coaching demand, yet together they illuminate the conditions under which families may seek supplementation. A child can be enrolled but still require help with foundational skills; a high-performing child may seek coaching because entrance examinations reward speed and specialised problem solving not taught in the same form at school. Demand also grows around language transitions, especially when a child moves between Maithili, Angika, Hindi, English or Nepali- medium environments. Coaching centres then sell not only subject knowledge but confidence in the examination's linguistic and procedural conventions. This is why the education economy cannot be inferred from enrolment alone. The key relationship is between what institutions teach, what examinations reward, what households perceive as missing, and what private providers claim they can supply. 12391239 GAJENDRA THAKUR 122.4 The transition from school to competitive examination The economic importance of coaching rises sharply at transition points. Class X and XII board examinations, university admission, engineering and medical entrances, teacher recruitment, banking, railways, staff selection and state civil-service examinations all convert educational aspiration into episodic demand for specialised preparation. Each examination has a calendar, syllabus, application fee, test-centre geography and probability of success. Those parameters create markets. A new entrance format can rapidly shift demand from subject tuition to mock tests, reasoning classes or computer-based test practice. Delayed recruitment cycles can extend a student's stay in coaching and defer labour-market entry. When several examinations use overlapping syllabi, coaching centres can package preparation across them; when patterns diverge, students purchase multiple courses. This market is therefore partly produced by the architecture of assessment. The National Education Policy's stated aspiration to reduce excessive dependence on coaching is relevant, but as long as scarce seats and jobs are allocated through high-stakes ranking, families have an incentive to buy any preparation they believe improves relative performance. 122.5 Higher-education access and Bihar's GER gap Higher education is a second structural driver of mobility. AISHE 2021–22 recorded Bihar's higher- education GER at 17.1 per cent, against an all-India GER of 28.4 per cent. The same survey shows that Bihar's participation had improved over preceding years, so the picture is not static decline; it is one of expansion from a comparatively low base. Institution density, subject availability, faculty, laboratory capacity and perceived quality matter alongside GER. A district may have colleges but not the professional or postgraduate course a student wants. Such mismatch turns higher education into a migration decision. Students move within Bihar toward universities and specialised colleges, to neighbouring states, and farther afield. The Bihar Student Credit Card was designed partly against this access gap by financing recognised higher education inside or outside Bihar. The economic effect is double-edged: credit can expand opportunity, but when study occurs elsewhere, a substantial share of educational spending—fees, rent, food and transport—also leaves the home district. Local institution-building can therefore be viewed as both social policy and regional economic policy. 122.6 District towns as intermediate education markets District headquarters and larger towns form the middle layer between village schooling and metropolitan coaching. Darbhanga, Muzaffarpur, Samastipur, Saharsa, Begusarai, Bhagalpur and other centres combine colleges, schools, subject tuition, competitive-exam preparation, bookshops, photocopy services, hostels and transport nodes. Their importance is often missed when discussion jumps directly from 'village' to Patna or Kota. For many families, district-town mobility is a lower-cost compromise: the student can commute daily or return home frequently, parents can monitor accommodation, and fees may be lower than in a national hub. The district market also allows teachers from schools and colleges to participate in evening tuition, generating a secondary instructional labour market. Yet scale can be limited for highly specialised examinations, and students may still migrate onward after Class XII or after a first unsuccessful attempt. A regional education economy should therefore be mapped as a hierarchy of connected service centres rather than a simple opposition between local schooling and distant coaching. 122.7 Patna as a regional coaching metropolis Patna occupies a distinctive position because it combines the functions of state capital, university city, administrative centre and coaching market. The current Patna Coaching Registration Portal, managed by the HISTORY OF MITHILA, VAJJI & ANGA — VOLUME II district administration and education authorities, is direct evidence that coaching has become large enough to require a dedicated registration and compliance mechanism. Around the classroom is a dense service economy: hostels, paying-guest rooms, messes, libraries, stationery, photocopying, digital test centres, buses, e-rickshaws and rental housing. Contemporary press reporting in 2026 described Patna as a very large coaching hub and circulated estimates exceeding a thousand institutes and roughly two lakh incoming students annually. Those numbers should not be treated as an official census, but they capture the city's perceived scale. Patna's rise also reflects a localisation trend: families that once regarded Kota or Delhi as necessary may now choose a Bihar-based centre when faculty, online content and testing infrastructure are available closer to home. This does not eliminate outward migration; it changes the threshold at which households decide that distant relocation is worth the added cost. Figure 485 — Coaching and educational migration operate through a spatial ladder from home and district towns to regional, national and global study hubs. 122.8 Kota, Delhi and outward coaching migration Kota became the emblem of India's residential coaching economy because examination preparation, hostel accommodation and city services grew into a single specialised ecosystem. Students from Bihar have long formed part of that inter-state flow. Yet the model has become more fluid. Reporting from 2024–26 describes falling Kota enrolment, rising concern over student welfare, stronger local coaching markets and the expansion of online or hybrid instruction. This does not mean Kota has ceased to matter. It means educational migration is increasingly a portfolio choice among home-based digital preparation, district coaching, Patna, Kota, Delhi NCR and other specialised centres. Families compare fees, faculty reputation, test results, safety, peer environment and the cost of living. A student may also move between modes—online in Class XI, Patna after Class XII, then Kota or Delhi for a repeat attempt. The correct historical unit is therefore the student's pathway, not the reputation of one city. Changes in platform technology and faculty mobility can redraw that pathway rapidly without changing the underlying scarcity of elite seats. 122.9 Engineering and medical entrance preparation Engineering and medical entrances represent the most capital-intensive segment of the coaching market because preparation commonly begins before Class XII and can extend through repeat years. JEE and NEET require subject depth, test speed and sustained practice; the national ranking scale encourages students to compare themselves with a much larger peer group than their school cohort. Coaching providers respond 12411241 GAJENDRA THAKUR with long-term classroom programmes, crash courses, test series, residential packages and online batches. Households respond with early investment in science tuition, English-medium schooling or relocation. The economic risk is concentrated because the number of serious aspirants is much larger than the number of highly valued seats. Selection can transform a household's expectations, while non-selection may lead to a second attempt, a change of degree or a less preferred private institution. Public policy therefore needs both good preparation resources and credible alternatives. Free mock tests, better school science teaching, counselling on course options and transparent information on institutions can reduce the extent to which one entrance result becomes a binary judgement on years of expenditure. 122.10 Government-job examination economies A different but equally important coaching economy surrounds government employment. BPSC, SSC, railways, banking, police, teaching and other recruitment examinations attract graduates and sometimes older candidates whose objective is not admission to education but entry into salaried work. Preparation can continue alongside college, after graduation or during periods of unemployment. The market therefore overlaps with Chapter 120's migration economy and Chapter 123's coming discussion of health only indirectly; more immediately, it links education spending with delayed labour-market entry. Coaching centres sell general studies, reasoning, mathematics, language, current affairs, test series and interview preparation. Libraries and reading rooms sell quiet study space by the month. When recruitment calendars are delayed or examinations are cancelled and repeated, household costs rise even without a change in coaching fees. The economic history of competitive examinations should thus include administrative reliability. Exam governance affects rental demand, coaching duration, youth labour supply and household expectations. A predictable calendar has economic value because it limits the period during which candidates must finance full-time preparation. 122.11 Repeat attempts, waiting time and sunk cost Repeat attempts are a major hidden cost of the education economy. A fee receipt records the price of a course but not the value of a year spent preparing instead of working, apprenticing or completing another qualification. For a household with limited cash income, the repeat year may require continued remittances from a migrant parent, sale of assets or reduced spending on siblings. The candidate also accumulates emotional sunk cost: after investing one or two years, changing direction can feel like admitting failure even when another pathway would yield a better expected return. Coaching businesses can profit from this persistence, especially where success advertising foregrounds top ranks but does not show the full denominator of enrolled students. Good counselling should therefore include probability, alternative courses, age limits, attempt limits and labour-market options. Economically, the relevant metric is not simply 'cost per year' but expected lifetime cost across attempts. A regional evidence system that tracked repeaters separately would reveal how much youth time is absorbed by credential competition. 122.12 Hostels, paying guests and rental markets Residential coaching turns education into a housing market. Hostels and paying-guest accommodation cluster near institutes, often in converted houses or purpose-built buildings. Students demand small rooms, shared sanitation, Wi-Fi, study tables, electricity backup and proximity to classes. Landlords respond to academic calendars rather than ordinary family tenancy cycles. Security deposits, advance rent and brokerage add to the upfront cost of migration. In periods of rapid expansion, neighbourhood rents and land values can rise; in downturns, vacancy can damage households that borrowed to construct student accommodation. Kota's recent experience shows the vulnerability of a city economy concentrated in one educational model. HISTORY OF MITHILA, VAJJI & ANGA — VOLUME II Patna and district towns are more diversified, but local clusters can still depend heavily on student demand. Housing regulation, fire safety, occupancy standards and grievance mechanisms thus belong to education policy as well as urban policy. For women students, secure and supervised accommodation may determine whether a family permits migration at all. Figure 486 — The true household cost of coaching migration includes mobility, exam, opportunity and risk costs in addition to tuition. 122.13 Food, transport, printing and the coaching multiplier The coaching multiplier extends far beyond rent. A student buys meals or mess subscriptions, snacks, drinking water, local transport, stationery, photocopies, printed notes, books, mobile data, laundry, medicines and occasional travel home. Coaching centres purchase commercial space, advertising, printing, software, security, cleaning and equipment. Teachers and support staff spend wages locally. These flows explain why education hubs can support dense small-business ecosystems even when they produce no physical commodity. The multiplier is strongest when services are locally supplied; it leaks outward when national chains, online platforms or distant landlords capture a larger share. Digitalisation can therefore redistribute rather than simply reduce the education economy. A recorded lecture purchased from a national platform may save hostel rent but redirect fee income away from the district; a local test centre using national content may retain some service spending. The regional question is which parts of the education value chain can be supplied competitively within Mithila, Vajji and Anga without sacrificing educational quality. 122.14 Gender, mobility and the geography of safety Educational mobility is gendered because the same distance carries different perceived risks and social constraints. Families may be willing to send sons to a distant hostel while requiring daughters to commute, live with relatives or choose a closer college. Safe transport, women-only accommodation, lighting, sanitation, grievance systems and credible institutional supervision therefore change the effective supply of education for women. This means a new college or coaching centre can have a larger impact than its enrolment capacity suggests if it reduces the mobility barrier faced by female students. Bihar's recent rise in female higher-education participation should be interpreted alongside these spatial conditions, not only as a change in aspiration. Digital classes can widen access for students unable to migrate, but home-based study may also reproduce unequal domestic workloads or limited privacy. A gender-sensitive education economy 12431243 GAJENDRA THAKUR asks who controls travel, devices, study time and money. It also measures dropout or course choice after marriage and family responsibilities rather than assuming admission itself equals sustained access. 122.15 Caste, class and unequal ability to buy preparation Class and caste inequalities enter the coaching market through purchasing power, school quality, social networks and information. A wealthy household can buy early tutoring, English-medium schooling, multiple attempts, private accommodation and travel to several entrance tests. A low-income household may rely on free online material, shared books, local tuition and a single attempt. Scholarships and reservations can alter the expected return to preparation, but they do not remove the upfront cost of study. Social networks also matter: families with graduates or public employees may know which examinations to target, how to fill forms and which institutions are credible. First-generation learners face higher information costs and may be more vulnerable to misleading advertising. The result is not a simple story in which coaching always reproduces inequality. Low-cost group tuition, public libraries, scholarships and digital resources can democratise preparation. The distributional question is which layer of the market students can reach and whether public support arrives before families incur high-cost debt or abandon study. 122.16 Scholarships and the Bihar Student Credit Card The Bihar Student Credit Card is one of the state's most important attempts to relax the financing constraint on higher education. The scheme, launched in 2016, was designed for Bihar residents who had passed Class XII and entered recognised higher-education courses, including institutions outside the state. The original guideline provided state support up to a four-lakh-rupee education-loan limit, and the current MNSSBY system continues to operate a dedicated application, verification and disbursement architecture. Credit is economically different from a scholarship because it shifts payment across time rather than eliminating cost. Its value therefore depends on course quality, completion and later earnings. Verification of institutions is crucial where the education market contains weak or misleading providers. For regional analysis, BSCC data could reveal which districts send students outward, which courses attract borrowing and whether financed students return. Public finance can reduce liquidity barriers, but it cannot by itself solve low-quality institutions or a weak labour-market return on credentials. 122.17 Digital coaching and the partial return home Online coaching altered the geography of preparation. Recorded lectures, live classes, digital test series and messaging groups allow a student in a village or small town to access faculty once concentrated in Kota, Delhi or Patna. The pandemic accelerated this infrastructure, but the longer-term significance lies in hybridisation: students may learn content online while using a local library, doubt centre or test series. This can reduce migration costs and permit students—especially women or lower-income candidates—to remain at home longer. Yet digital coaching is not costless. It requires a reliable device, electricity, data, quiet study space and the ability to manage attention without a residential peer environment. Platform subscriptions may also produce lock-in, and large online classes can make individual feedback difficult. The likely future is therefore not 'online replaces coaching cities' but a layered market in which digital content, local mentors and periodic physical testing are combined. This creates opportunities for district towns to retain more education spending while importing specialised teaching virtually. HISTORY OF MITHILA, VAJJI & ANGA — VOLUME II 122.18 Smartphones, data and platform dependence Smartphones have become part of the education capital stock of households. A device used for video lectures, PDFs, forms, admit cards, payment and test practice is no longer merely a consumer durable. The same device, however, can be shared among siblings, constrained by data cost, damaged, or unavailable during parental work. Network quality and electricity determine whether digital access is usable for long live classes. Platform design also matters for accessibility: captions, playback speed, low-bandwidth downloads, screen-reader compatibility and multilingual interfaces can decide who benefits. In a multilingual region, students may study concepts in Maithili or Angika explanation, read Hindi notes and sit an English or Hindi examination. Digital platforms can bridge these language layers more cheaply than printed courses, but only if content exists. Public digital education policy should therefore be evaluated not by app availability alone but by actual household access, device ownership, usage patterns and learning support. The economic burden includes replacement devices and recurring connectivity, which should be counted alongside fees and books. 122.19 Teachers, star faculty and instructional labour markets Coaching produces its own labour market for teachers. Reputation can attach to individual faculty rather than institutions, especially in mathematics, physics, chemistry, biology, reasoning and current affairs. Successful teachers may move between cities, establish independent brands, join national platforms or negotiate revenue-sharing arrangements. This 'star faculty' system raises wages for scarce instructional talent but can also destabilise institutes when teachers leave with student followings. Below the star level is a much larger workforce of junior faculty, doubt-solvers, content writers, test setters, counsellors, office staff and digital production workers. Some combine coaching with school or college teaching; others depend entirely on private education. The regional economic opportunity is therefore not only to keep students at home but to create credible instructional careers locally. Teacher quality, however, is difficult for families to observe before purchase. Demonstration classes, transparent qualifications and audited result claims can reduce information asymmetry more effectively than celebrity advertising alone. 122.20 Advertising, rankings and information asymmetry Advertising is central to the coaching business because the product is a probability: no provider can guarantee selection in a genuinely competitive examination. Institutes therefore market past ranks, faculty names, scholarship tests and claims about selection ratios. The most important denominator—the number of students from whom successful ranks emerged—may be unclear. High-performing students can also receive scholarships, so headline results do not necessarily measure the experience of the median fee-paying student. This is a classic information-asymmetry problem. Families need comparable data on fees, refund terms, batch size, faculty continuity, attendance, result definitions and grievance procedures. Consumer-protection rules against misleading advertisements are therefore part of education regulation. A historical archive of coaching advertisements would itself be valuable evidence, showing how aspiration, professions and claims of merit changed over time. In Mithila, Vajji and Anga, local-language advertising and social-media testimonials deserve preservation because they document how the education market represents mobility to first- generation aspirants. 122.21 Regulation under the Bihar Coaching Act Bihar recognised the regulatory problem early through the Bihar Coaching Institute (Control and Regulation) Act, 2010. The Act created a legal basis for registration and control of coaching institutions 12451245 GAJENDRA THAKUR rather than leaving them entirely within ordinary commercial regulation. Patna's current online registration portal makes this regulatory architecture visible in practice: institutes submit ownership, address, staff and infrastructure information, and the portal links registration with compliance. The existence of law does not prove complete coverage or enforcement. Small tutors, informal batches and rapidly changing online providers may sit partly outside conventional premises-based registration. Regulation must also avoid raising compliance costs so high that only large chains survive. The appropriate goal is a minimum floor of transparency, safety and accountability: identifiable management, basic infrastructure, truthful advertising, clear fees, records, grievance procedures and inspection where necessary. Because coaching spans education, commerce, housing and youth welfare, effective enforcement requires coordination across departments rather than a single licensing form. 122.22 The 2024 national coaching guidelines The Union Ministry of Education's January 2024 Guidelines for Regulation of Coaching Centers provide a national model for states and union territories. They address registration, fees, infrastructure, conduct, records, complaints, penalties and student well-being. The guidelines explicitly recognise that unregulated coaching has become a national policy problem and cite existing state frameworks, including Bihar's 2010 Act. Their significance for the regional economy is that regulation is moving from a narrow question of business registration toward the quality of the student experience. Transparent fee and refund rules reduce household financial risk; infrastructure requirements affect the capital cost of centres; counselling provisions add a welfare function; and restrictions on misleading claims can change marketing. Since education is on the concurrent list, implementation depends on state legal and administrative action. Historical assessment should therefore distinguish the existence of model guidelines from actual local compliance. The policy trajectory is clear, but enforcement outcomes require district-level evidence. 122.23 Student welfare, stress and counselling Student welfare is economically relevant because extreme stress can destroy the very human capital households are trying to build. Residential coaching concentrates adolescents and young adults in competitive environments away from family support. The national guidelines encourage counselling, psychological support, realistic career guidance and peer interaction; the Ministry's later student mental- health resources continue this direction. Welfare should not be reduced to crisis response. Predictable timetables, reasonable batch hours, sleep, nutrition, exercise, access to healthcare, safe accommodation and respectful teaching all affect learning productivity. Parents also need realistic information about selection probabilities and alternatives. A student who changes course after informed counselling has not necessarily 'wasted' prior education. By contrast, a system that treats one exam as the only honourable outcome can prolong costly repeat cycles. Measuring education quality should therefore include completion, well-being and pathway flexibility, not only ranks. This is especially important for first-generation families for whom the financial stakes of residential coaching are high and the social meaning of failure can be severe. 122.24 Universities, colleges and the local education economy Universities and colleges anchor a different education economy from coaching centres. They employ teachers and staff, rent housing, purchase goods, draw students into transport and retail markets, organise conferences and create demand for printing, laboratories, libraries and cultural services. A university town also produces less visible benefits: alumni networks, professional services, bookstores, student politics, artistic activity and a market for skilled landlords and food providers. In Mithila, Vajji and Anga, institutions in Darbhanga, Muzaffarpur, Bhagalpur and neighbouring centres are therefore regional economic assets even HISTORY OF MITHILA, VAJJI & ANGA — VOLUME II when their direct budgets are modest relative to state expenditure. Their ability to retain students depends on course range and perceived quality. Expansion that merely multiplies affiliated seats without faculty, laboratories or reliable examinations can fail to reduce outward migration. The policy objective should be to deepen selected regional campuses so that students can obtain credible postgraduate, technical and professional education closer to home while preserving mobility for specialised study that genuinely requires a larger centre. 122.25 Madhesh Province and higher-education access Madhesh Province provides a useful cross-border comparison because educational mobility operates within a different federal and university system but faces similar spatial inequalities. Nepal's University Grants Commission report for 2023/24 records substantial enrolment in Madhesh across Tribhuvan University and other university systems, yet Bagmati remains the dominant concentration of higher- education enrolment. This geography encourages movement toward Kathmandu and other centres for specialised courses. Madhesh towns, including Janakpur, also host campuses, schools, technical institutions, private tuition and entrance preparation, creating local education-service economies. The India–Nepal border widens the choice set: students may consider recognised institutions in either country depending on course, cost, language and professional regulation. Cross-border educational history should therefore not assume that national borders define educational markets neatly. Families in a culturally continuous region may compare travel time and institutional reputation more strongly than national location, while visa, NOC, equivalence and professional licensing rules still shape the final decision. 122.26 Private tuition and education spending in Nepal Nepal Living Standards Survey IV 2022/23 shows why private tuition must be treated as a measurable household expense rather than an anecdotal practice. The survey's education module records tuition, admission and examination charges, uniforms, books, transportation, private tuition and snacks. Nationally, average per-capita educational expenditure was much higher in institutional private schools than in community government schools; private tuition appeared as a separate expenditure category across school types. These are Nepal-wide averages, not Madhesh-specific coaching fees, but the instrument itself demonstrates how household surveys can capture the shadow education market. The same approach would improve Bihar research, where private tutoring is often discussed without consistent household expenditure data. For cross-border comparison, definitions matter: a small local tutor and a residential entrance-coaching package are both 'private supplementary education' but operate at radically different scales. Future Madhesh- specific analysis should therefore separate routine subject tuition, bridge courses, entrance coaching and residential migration. 122.27 Cross-border and overseas study migration Educational migration from Madhesh extends beyond Kathmandu. Nepal's Ministry of Education and Sports operates a No Objection Certificate system for citizens going abroad for higher study, including study in India; medical study abroad also requires the relevant eligibility process. The NOC is therefore an administrative trace of outward education demand, although it does not by itself show completion, return or long-term migration. For families in Madhesh, India can be both a nearby education market and a foreign jurisdiction requiring documentation. At the same time, students from the Indian side may enter Nepalese medical or other institutions subject to admission and professional rules. Overseas destinations farther afield turn education into a foreign-exchange and migration decision, with consultancy fees, language tests and documentation creating additional service markets. The educational-economy chain thus extends from a 12471247 GAJENDRA THAKUR village tutor to global student mobility. Each step raises the financial stake and increases the importance of verified institutional information. 122.28 Education, credentials and labour-market mismatch A credential has economic value only through the opportunities to which it provides access. When degree supply grows faster than suitable employment, students may respond by purchasing more credentials: postgraduate degrees, computer certificates, teacher eligibility, civil-service coaching or repeated entrance preparation. This can create a credential treadmill in which education expenditure rises without a proportionate increase in productivity or earnings. The correct response is not to devalue education but to connect it more closely to labour-market information, apprenticeships, professional standards and local enterprise. Universities should publish completion and placement data carefully, while government recruitment should be predictable enough that graduates can plan. Coaching centres should not be allowed to imply that every candidate is one course away from a secure job. For PART XIII, the key economic question is whether the education system expands the set of viable livelihoods within the region or simply prepares young people to leave. Mobility can be beneficial, but a healthy regional economy should also generate skilled work that makes return or local retention plausible. 122.29 Building a regional education-economy evidence system A serious regional education-economy evidence system would link datasets that are currently separate. UDISE+ can describe schools; ASER can illuminate foundational learning; AISHE can map higher education; coaching-registration records can identify formal providers; scholarship and Student Credit Card systems can trace public financing; examination bodies can supply applications and results; household surveys can record private tuition and migration; and urban data can measure hostel rents, transport and local business. The missing unit is the student pathway. A longitudinal panel should record schooling history, tutoring, examination attempts, migration episodes, expenditure, debt, digital access, course completion and employment. Gender, caste, income and location must be retained so averages do not conceal exclusion. On the Nepal side, UGC, CEHRD, NLSS and NOC data can be linked conceptually even where microdata cannot be merged directly. Such a system would allow policy to distinguish three problems that are often conflated: inadequate local educational capacity, excessive household cost, and weak labour-market returns. HISTORY OF MITHILA, VAJJI & ANGA — VOLUME II Figure 487 — Studying and regulating the coaching economy requires administrative, household, examination, market, welfare and outcome evidence. 122.30 From coaching migration to a stronger local education ecosystem The goal is not to abolish coaching or educational migration. Specialised teaching, peer competition and mobility can create genuine opportunities. The problem arises when households must migrate for services that could be delivered locally at comparable quality, when fees and results are opaque, or when a single high- stakes examination monopolises youth time. A stronger local ecosystem would combine better schools, credible district colleges, selected regional centres of excellence, public libraries and test facilities, regulated coaching, safe hostels, multilingual digital content, scholarships and credit, and transparent career information. Hybrid teaching allows scarce faculty to reach more towns without requiring every student to relocate. Reliable examinations reduce repeat-year costs. Stronger universities retain some spending and skilled employment locally. Chapter 122 therefore shows that education is already a major service economy within Mithila, Vajji and Anga; the policy choice is whether that economy remains mainly an extraction of household savings into distant markets or becomes a more balanced system of local capability, selective mobility and credible transition into work. 12491249 GAJENDRA THAKUR Table 122.1 — Evidence architecture for analysing the education economy and coaching migration Evidence source What it establishes Economic use Main limitation UDISE+ school data schools, enrolment, teachers, size and structure of formal does not measure private transitions school system coaching expenditure ASER household foundational reading and context for supplementary- rural sample; not an assessment arithmetic learning demand institute census AISHE 2021–22 higher-education enrolment access gap and institution latest published GER and GER geography baseline is dated Coaching registration formal centres and market mapping and informal tutors and records compliance information regulation online providers may be missed Exam-board / recruiting applications, centres, results, demand cycles and selection definitions vary across data attempts probability examinations Student Credit Card / publicly supported credit constraint and financing does not prove scholarships education finance outward study course quality or completion Household expenditure fees, tuition, transport, true household education causal link to outcomes survey devices, debt cost needs panel data Hostel / rental market student housing and local education multiplier in informal rentals may be evidence service demand towns unrecorded UGC Nepal / NLSS / Madhesh enrolment, cross-border comparison and systems use different NOC education spending, outward migration definitions and reference study periods Longitudinal student pathway from school to return on educational expensive and currently panel coaching to work investment scarce