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PARTICIPACIÓN QUE TIENEN LOS TERCEROS SOBRE LOS RESULTADOS DE LA EMPRESA

This section compares the social return to schooling (using the baseline and min estimates) with the returns to non-infrastructure physical capital and to infrastructures (rk and rx). The two rates of return are calculated as ri = MPi - δi + g, where MPi is the marginal product of factor i, δi its rate of depreciation and g the rate of technical progress (which is assumed to be 1.5% as in the previous sections). The marginal products are calculated using the estimates of the production function in equation (2).

The main difficulty when assessing the marginal products to non-infrastructure physical capital and to infrastructures is that estimating (2) using the CRENOS infrastructure series yields different results than using the Bonaglia and Picci (2000) infrastructure series. In particular, the Bonaglia and Picci (2000) infrastructure series yields statistically significant effects of infrastructures on productivity but insignificant effects of non- infrastructure capital, while the CRENOS series produces the opposite results. To identify upper bounds on the social return to non-infrastructure capita and infrastructure, we will rely on the Bonaglia and Picci (2000) infrastructure series for the social return to infrastructure and on the CRENOS series for the social return to non-infrastructure capital.

With the Bonaglia and Picci (2000) infrastructure series and the CRENOS non- infrastructure physical capital series we find that average returns to infrastructures are larger in the North than in the South. We also find that in the South the social return to schooling exceeds that to infrastructure by more than 5% even under the most conservative (min) scenario. In the North and the Center the social return to infrastructures exceeds that to schooling.

Using the CRENOS infrastructure and non-infrastructure physical capital series yields an average return to non-infrastructures physical capital in Italy of 4.7%. Hence, the social return to schooling exceeds the social return to non-infrastructures physical capital even under the most conservative (min) scenario. We also find that the social return to schooling exceeds that to non-infrastructure physical capital by more than 4% in the South.

6. Summary

We have estimated the private (individual) and social return to schooling in Italy as a whole and four macro regions. While our contribution is centered on this (rather complex) task of measurement and estimation, there are some conclusions that seem worthwhile emphasizing (and exploring further) at this point:

1. The private (individual) return to schooling in Italy increases by around 50% when the calculation accounts for schooling reducing unemployment spells (which given Italy’s low replacement rates lead to substantial income losses) in addition to increasing wages. This continues to be the case when we control for the endogeneity of individual schooling.

2. There is no evidence that the private return to schooling is lower in the South than in the North of Italy.

3. Estimates of the private return to schooling compare favorably to the return to financial assets (especially in poorer regions) suggesting that financial incentives to invest in schooling are adequate.

4. While the (mostly) public provision of schooling in Italy raises the private return to schooling, this effect is more than offset by the progressivity of the income tax. Our calculations suggest that the private return to schooling in Italy would rise if tuition reflected the social cost of schooling and taxes were proportional to income.

5. At the social level, the return to schooling exceeds the return to infrastructures for poorer regions.

Appendix10

A1. Expenditures on secondary and university education in 2000

Private and public expenditures per student in formal education at the upper secondary and university level can be estimated using data from different publications of the Ministry of Education, University and Research (MIUR) and the National Statistical Institute (ISTAT) (details on the data sources and the calculations can be found in Table A2). Secondary schooling includes general academic programs as well as programs that combine general academic and a more vocational education. Public expenditures are the sum of operating costs of public educational institutions (net of research expenditures by universities), indirect costs (general administration and support programs) and two types of subsidies to households: tuition waivers at the university level and subsidies to cover living expenses and other costs at the university level. Private expenditures are defined as tuition fees paid by households plus expenditures on books and school materials minus non-tuition subsidies received by them. Total expenditures are calculated as the sum of public and private expenditures.

Table A1 shows expenditures per student at the upper secondary and university level for the year 2000, combining students enrolled in private and public centers. These figures are relative to average expenditures per student in the entire country. Following de la Fuente, Doménech, and Jimeno (2003), the last three columns (under the heading Combined) approximate the cost per student of an increase in upper secondary attainment under the assumption that half of those graduating from upper secondary school will go on to university (they are weighted averages of expenditures per student at the upper secondary and university level with weights of 2/3 and 1/3 respectively). The last row of the table contains average expenditures for the whole of Italy in Euros.

Table A1 AVERAGE EXPENDITURES PER STUDENT, 2000

(WEIGHTED AVERAGE OF ALL REGIONS, ITALY= 100) Upper secondary University Combined private Public total Private public total private public total

North West 111 103 104 166 112 122 141 106 110 North East 89 108 107 104 104 104 97 107 106 Center 86 103 102 91 106 103 89 104 102 South 118 94 96 83 88 87 99 92 93 Objective 1 99 95 95 63 90 85 79 93 92 Average, Euros 388 4999 5387 929 4408 5338 568 4802 5370

Table A2 SOURCES USED TO ESTIMATE EDUCATIONAL EXPENDITURES PER

STUDENT BY REGION

Total public expenditures on secondary school for the year 1999 are taken from Ministry of Education, University and Research (MIUR) 2001, Indicatori della spesa pubblica per

l’istruzione scolastica. Anno finanziario 1999 (www.miur.it). The estimate for the year

2000 is obtained by applying the increase in aggregate education expenditures between 1999 and 2000 in MIUR 2002, Spesa pubblica per l’istruzione, anni 1991-2000 to the 1999 figure. Regional expenditures are estimated based on the number of teachers at the regional level available in MIUR 2003, Alunni, classi, docenti. Dalla scuola materna

alle scuole superiori in Italia, 1996-2003.

Sub-regional expenditures on secondary school for the year 2000 are taken from MIUR 2002, La spesa per l’istruzione delle province e dei comuni, anno finanziario 2000. The number of enrolled secondary school students is taken from MIUR 2003, Department of

Statistics, Alunni iscritti alle scuole secondarie superiori per regione, anni 1999-2000 e

2000-2001.

Total public expenditures on universities are calculations made by the National Committee for the Evaluation of the University System (www.cnvsu.it) based on data from MIUR 2003, Department of Statistics, Indagine sull'istruzione universitaria anno 2000 e 2001. R&D expenditures are taken from Italian Institute of Statistics (ISTAT) 2003, Lo stato

dell’Università. I principali indicatori. Anno accademico 1999-2000 (www.istat.it).

Private secondary school expenditures (private secondary school, books etc.) are estimates based on ISTAT 2003, Indagine sui consumi delle famiglie, Anno 2000.

Private university expenditures (university fees paid at private and public universities, etc.) are taken from three different sources. Fees paid to public universities are taken from MIUR 2003, Department of Statistics, Indagine sull'istruzione universitaria anno 2000

e 2001. Fees paid to private universities are taken from MIUR 2003, Department of

Statistics, La contribuzione studentesca e delle altre entrate da parte degli studenti.

Rilevazione 2000. Other expenditures (books etc.) are estimated based on ISTAT 2003, Indagine sui consumi delle famiglie, Anno 2000.

Enrolled university students are taken from MIUR 2003, Department of Statistics, Studenti

iscritti per Ateneo. Valori assoluti, anni 1999-2000 e 2000-2001.

Living subsidies for university students are taken from ISTAT 2003, Lo stato

Public upper secondary school expenditures

The starting point is total public spending on upper secondary education in Italy in 2000 less public spending on upper secondary education by sub-regional administrations (comuni and provincie). These expenditures are distributed across regions in proportion to the number of secondary school teachers in each region. These regional expenditures plus upper secondary education expenditures by sub-regional administrations are equal to public secondary school expenditures at the regional level. Note that this procedure treats total public spending by regional governments like public spending by the national government. While it would have been preferable to differentiate between the two types of expenditures, this is not feasible as reliable information of public upper secondary school expenditures by regional governments seems to be unavailable. The resulting inaccuracy is likely to be very small however as public spending by regional governments amounted to only 2.3% of total public spending in 1999, the latest year for which information is available (MIUR 2001,

Indicatori della spesa pubblica per l’istruzione scolastica. Anno finanziario 1999). Private upper secondary school expenditures

Private expenditures on upper secondary school consist of expenditures on books and other school materials and tuition fees of students at private upper secondary schools. These are estimates using ISTAT 2003, Indagine sui consumi delle famiglie, Anno 2000.

Public expenditures on university education

The starting point is expenditures at the university level obtained from balance sheet data for the year 2000. These figures are aggregated to the regional level. Subtracting university R&D expenditures at the regional level and adding scholarships and non-tuition subsidies from public sources other than universities (housing and food subsidies) yields public expenditures on university education.

Private expenditures on university education

Private expenditures on university education consist of expenditures on books and other university materials and tuition fees of students at private and public universities. The starting point is income from tuition fees obtained at the university level from balance sheet data of all public universities in 2000. To these we add an estimate of fees paid to private

Universities (in this case the latest available year for which information is available is 1999). These figures are aggregate to the regional level and combined with estimates of expenditures of books and other university material obtained using ISTAT 2003, Indagine

sui consumi delle famiglie, Anno 2000. The final figure is obtained by subtraction non-

tuition subsidies from public sources other than universities (housing and food subsidies)

A2. Data used to calculate the private return to upper secondary school attainment and university attainment

Table A3 TAX AND SOCIAL SECURITY DATA USED TO CALCULATE THE PRIVATE RETURN TO UPPER SECONDARY SCHOOL AND UNIVERSITY ATTAINMENT

Upper Secondary University

T'

τ

0 T'

τ

0 North West 33.40% 29.03% 42.69% 30.85% North East 33.50% 31.18% 42.69% 32.35% Center 33.50% 30.80% 42.69% 32.27% South 33.50% 30.54% 42.69% 31.79% Objective 1 33.50% 30.33% 42.69% 31.62% Italy 33.5% 29.22% 42.69% 30.75%

Table A4 DATA USED IN THE CALCULATION OF THE PRIVATE RATE OF RETURN TO

UPPER SECONDARY SCHOOL ATTAINMENT

µs µ po ps η ε North West 2.2% 28.8% 94.6% 68.7% 72.58% 1.03% North East 1.6% 26.5% 96.0% 84.4% 87.90% 0.57% Center 1.5% 25.2% 92.1% 58.5% 63.58% 1.32% South 2.3% 26.5% 77.9% 32.8% 42.08% 3.44% Objective 1 2.0% 26.1% 76.6% 30.3% 39.62% 3.53% Italy 1.9% 26.0% 89.50% 58.47% 65.33% 2.09% Table A5 DATA USED IN THE CALCULATION OF THE PRIVATE RATE OF RETURN TO

UNIVERSITY ATTAINMENT µs µ po ps η ε North West 6.6% 27.5% 97.6% 76.0% 77.83% 0.52% North East 3.9% 22.4% 97.7% 84.3% 86.22% -0.01% Center 3.3% 21.2% 95.6% 67.4% 70.53% 0.93% South 3.3% 19.8% 88.1% 54.4% 61.77% 3.64% Objective 1 2.5% 19.4% 87.1% 53.0% 60.78% 3.92% Italy 3.8% 21.7% 95.00% 70.46% 74.17% 1.48%

A3. Average full-time earnings by regions and educational attainment

Calculations of average full-time earnings by regions and educational attainment are based on SHIW net earnings data. Gross earnings are obtained using the lower bounds of the Brandolini and Cipollone (2003) adjustment factors.11

Table A6 AVERAGE FULL-TIME EARNINGS BY REGIONS AND EDUCATIONAL

ATTAINMENT IN 2000. EUROS. All Levels Upper

Secondary University North West 24111 23548 26766 North East 24331 24760 28392 Center 24563 26030 31004 South 23260 23377 26987 Objective 1 23365 23400 27024 Italy 24224 24622 28229

References

Bonaglia, F. and L. Picci (1999), "Il capitale nelle regioni italiane", Università di Bologna WP 374.

Brandolini, A., P. Cipollone and P. Sestito (2002). “Earnings Dispersion, Low Pay and Household Poverty in Italy, 1977-1998”. In D. Cohen, T. Piketty and G. Saint-Paul (eds.), The Economics of Rising Inequalities, pp. 225-264. Oxford: Oxford University Press.

Brandolini, A. and P. Cipollone. “The return to education in Italy: 1992-1997,” Bank of Italy Working Paper.

Brunello, G., S. Comi, and C. Lucifora (2000), “The Returns to Education in Italy: A New Look at the Evidence,” IZA Discussion paper 130.

Ciccone, A. (2004) “Human capital as a factor of growth and employment at the regional level: The case of Italy,” Report for the European Commission, DG for Employment and Social Affairs.

De la Fuente, A. and A. Ciccone (2002), “Human capital and growth in a global and knowledge-based economy,” Report for the European Commission, DG for Employment and Social Affairs.

De la Fuente, A. (2003), “Human capital and growth in a global and knowledge-based economy, part II: assessment at the EU country level” Report for the European Commission, DG for Employment and Social Affairs.

De la Fuente, A., R. Doménech, and J. F. Jimeno (2003), “Human capital as a factor of growth and employment at the regional level: The case of Spain,” Report for the European Commission, DG for Employment and Social Affairs.

Dimson, E., P. Marsh and M. Staunton (2002), Triumph of the optimists. 101 years of global

investment returns, Princeton University Press, Princeton.

Goldin, C. and L. Katz (1999), “Human capital and social capital: the rise of secondary schooling in America 1910-1940,” Journal of Interdisciplinary History.

Guiso, L., S. Sapienza, and L. Zingales (2000), “The Role of Social Capital in Financial Development,” American Economic Review, 94, pp. 526-556.

Heckman, J. (1979), “Sample Selection Bias as a Specification Error,” Econometrica, 47, pp. 153-161.

Jones, C. (2002), “Sources of US economic Growth in a World of Ideas,” American

Economic Review, 92, pp. 220-239.

Montanaro, P. (2002) “Lo stock di capitale pubblico: una stima per regione e tipologia di bene” Rivista Economica del Mezzogiorno.

OECD (2000), Benefit Systems and Work Incentives 1999, Paris.

Putnam, R. (1993), Making Democracy: Work Civic Traditions in Modern Italy, Princeton, Princeton University Press.

(*) Requests for copies should be sent to:

Banca d’Italia – Servizio Studi – Divisione Biblioteca e pubblicazioni – Via Nazionale, 91 – 00184 Rome (fax 0039 06 47922059). They are available on the Internet www.bancaditalia.it.

UK and the Euro Area, by M. PERICOLI (February 2005).

N. 546 – The role of risk aversion in predicting individual behavior, by L. GUISO and M. PAIELLA (February 2005).

N. 547 – Prices, product differentiation and quality measurement: a comparison between hedonic and matched model methods, by G. M. TOMAT (February 2005).

N. 548 – The Basel Committee approach to risk weights and external ratings: what do we learn from bond spreads?, by A. RESTI and A. SIRONI (February 2005).

N. 549 – Firm size distribution: do financial constraints explain it all? Evidence from survey data, by P. ANGELINI and A. GENERALE (June 2005).

N. 550 – Proprietà, controllo e trasferimenti nelle imprese italiane. Cosa è cambiato nel decennio 1993-2003?, by S. GIACOMELLI and S. TRENTO (June 2005).

N. 551 – Quota dei Profitti e redditività del capitale in Italia: un tentativo di interpretazione, by R. TORRINI (June 2005).

N. 552 – Hiring incentives and labour force participation in Italy, by P. CIPOLLONE, C. DI MARIA and A. GUELFI (June 2005).

N. 553 – Trade credit as collateral, by M. OMICCIOLI (June 2005).

N. 554 – Where do human capital externalities end up?, by A. DALMAZZO and G. DE BLASIO (June 2005).

N. 555 – Do capital gains affect consumption? Estimates of wealth effects from italian households’ behavior, by L. GUISO, M. PAIELLA and I. VISCO (June 2005).

N. 556 – Consumer price setting in Italy, by S. FABIANI, A. GATTULLI, R. SABBATINI and G. VERONESE (June 2005).

N. 557 – Distance, bank heterogeneity and entry in local banking markets, by R. FELICI and M. PAGNINI (June 2005).

N. 558 – International specialization models in Latin America: the case of Argentina, by P. CASELLI and A. ZAGHINI (June 2005).

N. 559 – Caratteristiche e mutamenti della specializzazione delle esportazioni italiane, by P. MONTI (June 2005).

N. 560 – Regulation, formal and informal enforcement and the development of the household loan market. Lessons from Italy, by L. CASOLARO, L. GAMBACORTA and L. GUISO (September 2005).

N. 561 – Testing the “Home market effect” in a multi-country world: a theory-based approach, by K. BEHRENS, A. R. LAMORGESE, G. I. P. OTTAVIANO and T. TABUCHI (September 2005).

N. 562 – Banks’ participation in the eurosystem auctions and money market integration, by G. BRUNO, M. ORDINE and A. SCALIA (September 2005).

N. 563 – Le strategie di prezzo delle imprese esportatrici italiane, by M. BUGAMELLI and R. TEDESCHI (November 2005).

N. 564 – Technology transfer and economic growth in developing countries: an economic analysis, by V. CRISPOLTI and D. MARCONI (November 2005).

N. 565 – La ricchezza finanziaria nei conti finanziari e nell’indagine sui bilanci delle fami- glie italiane, by R. BONCI, G. MARCHESE and A. NERI (November 2005).

N. 566 – Are there asymmetries in the response of bank interest rates to monetary shocks?, by L. GAMBACORTA and S. IANNOTTI (November 2005).

N. 567 – Un’analisi quantitativa dei meccanismi di riequilibrio del disavanzo esterno degli Stati Uniti, by F. PATERNÒ (November 2005).

N. 568 – Evolution of trade patterns in the new EU member States, by A. ZAGHINI (November 2005).

L. GUISO and G. PARIGI, Investment and demand uncertainty, Quarterly Journal of Economics, Vol. 114 (1), pp. 185-228, TD No. 289 (November 1996).

A. F. POZZOLO, Gli effetti della liberalizzazione valutaria sulle transazioni finanziarie dell’Italia con

l’estero, Rivista di Politica Economica, Vol. 89 (3), pp. 45-76, TD No. 296 (February 1997).

A. CUKIERMAN and F. LIPPI, Central bank independence, centralization of wage bargaining, inflation and

unemployment: theory and evidence, European Economic Review, Vol. 43 (7), pp. 1395-1434, TD

No. 332 (April 1998).

P. CASELLI and R. RINALDI, La politica fiscale nei paesi dell’Unione europea negli anni novanta, Studi e note di economia, (1), pp. 71-109, TD No. 334 (July 1998).

A. BRANDOLINI, The distribution of personal income in post-war Italy: Source description, data quality,

and the time pattern of income inequality, Giornale degli economisti e Annali di economia, Vol. 58

(2), pp. 183-239, TD No. 350 (April 1999).

L. GUISO, A. K. KASHYAP, F. PANETTA and D. TERLIZZESE, Will a common European monetary policy

have asymmetric effects?, Economic Perspectives, Federal Reserve Bank of Chicago, Vol. 23 (4),

pp. 56-75, TD No. 384 (October 2000).

2000

P. ANGELINI, Are banks risk-averse? Timing of the operations in the interbank market, Journal of Money, Credit and Banking, Vol. 32 (1), pp. 54-73, TD No. 266 (April 1996).

F. DRUDI and R. GIORDANO, Default Risk and optimal debt management, Journal of Banking and Finance, Vol. 24 (6), pp. 861-892, TD No. 278 (September 1996).

F. DRUDI and R. GIORDANO, Wage indexation, employment and inflation, Scandinavian Journal of Economics, Vol. 102 (4), pp. 645-668, TD No. 292 (December 1996).

F. DRUDI and A. PRATI, Signaling fiscal regime sustainability, European Economic Review, Vol. 44 (10), pp. 1897-1930, TD No. 335 (September 1998).

F.FORNARI and R.VIOLI, The probability density function of interest rates implied in the price of options, in: R. Violi, (ed.) , Mercati dei derivati, controllo monetario e stabilità finanziaria, Il Mulino, Bologna, TD No. 339 (October 1998).

D. J. MARCHETTI and G. PARIGI, Energy consumption, survey data and the prediction of industrial

production in Italy, Journal of Forecasting, Vol. 19 (5), pp. 419-440, TD No. 342 (December

1998).

A. BAFFIGI, M. PAGNINI and F. QUINTILIANI, Localismo bancario e distretti industriali: assetto dei mercati

del credito e finanziamento degli investimenti, in: L.F. Signorini (ed.), Lo sviluppo locale:

un'indagine della Banca d'Italia sui distretti industriali, Donzelli, TD No. 347 (March 1999). A. SCALIA andV.VACCA, Does market transparency matter? A case study, in: Market Liquidity: Research

Findings and Selected Policy Implications, Basel, Bank for International Settlements, TD No. 359

(October 1999).

F. SCHIVARDI, Rigidità nel mercato del lavoro, disoccupazione e crescita, Giornale degli economisti e Annali di economia, Vol. 59 (1), pp. 117-143, TD No. 364 (December 1999).

G. BODO, R. GOLINELLI and G. PARIGI, Forecasting industrial production in the euro area, Empirical Economics, Vol. 25 (4), pp. 541-561, TD No. 370 (March 2000).

F.ALTISSIMO, D.J.MARCHETTI and G. P. ONETO, The Italian business cycle: Coincident and leading

indicators and some stylized facts, Giornale degli economisti e Annali di economia, Vol. 60 (2), pp.

147-220, TD No. 377 (October 2000).

C. MICHELACCI and P. ZAFFARONI, (Fractional) Beta convergence, Journal of Monetary Economics, Vol. 45, pp. 129-153, TD No. 383 (October 2000).

R. DE BONIS and A. FERRANDO, The Italian banking structure in the nineties: testing the multimarket contact hypothesis, Economic Notes, Vol. 29 (2), pp. 215-241, TD No. 387 (October 2000).

P. CIPOLLONE and D.J.MARCHETTI, Bottlenecks and limits to growth: A multisectoral analysis of Italian

industry, Journal of Policy Modeling, Vol. 23 (6), pp. 601-620, TD No. 314 (August 1997).

P. CASELLI, Fiscal consolidations under fixed exchange rates, European Economic Review, Vol. 45 (3), pp. 425-450, TD No. 336 (October 1998).

F. ALTISSIMO and G. L. VIOLANTE, Nonlinear VAR: Some theory and an application to US GNP and

unemployment, Journal of Applied Econometrics, Vol. 16 (4), pp. 461-486, TD No. 338 (October

1998).

F. NUCCI and A. F. POZZOLO, Investment and the exchange rate, European Economic Review, Vol. 45 (2), pp. 259-283, TD No. 344 (December 1998).

L. GAMBACORTA, On the institutional design of the European monetary union: Conservatism, stability

pact and economic shocks, Economic Notes, Vol. 30 (1), pp. 109-143, TD No. 356 (June 1999).

P. FINALDI RUSSO and P. ROSSI, Credit costraints in italian industrial districts, Applied Economics, Vol. 33 (11), pp. 1469-1477, TD No. 360 (December 1999).

A. CUKIERMAN and F. LIPPI, Labor markets and monetary union: A strategic analysis, Economic Journal, Vol. 111 (473), pp. 541-565, TD No. 365 (February 2000).

G. PARIGI and S. SIVIERO, An investment-function-based measure of capacity utilisation, potential output

and utilised capacity in the Bank of Italy’s quarterly model, Economic Modelling, Vol. 18 (4), pp.

525-550, TD No. 367 (February 2000).

F. BALASSONE and D. MONACELLI, Emu fiscal rules: Is there a gap?, in: M. Bordignon and D. Da Empoli (eds.), Politica fiscale, flessibilità dei mercati e crescita, Milano, Franco Angeli, TD No. 375 (July

2000).

A. B. ATKINSON and A. BRANDOLINI, Promise and pitfalls in the use of “secondary" data-sets: Income

inequality in OECD countries, Journal of Economic Literature, Vol. 39 (3), pp. 771-799, TD No.

379 (October 2000).

D. FOCARELLI and A. F. POZZOLO, The determinants of cross-border bank shareholdings: An analysis with

bank-level data from OECD countries, Journal of Banking and Finance, Vol. 25 (12), pp. 2305-

2337, TD No. 381 (October 2000).

M. SBRACIA and A.ZAGHINI, Expectations and information in second generation currency crises models, Economic Modelling, Vol. 18 (2), pp.203-222,TD No. 391 (December 2000).

F. FORNARI and A. MELE, Recovering the probability density function of asset prices using GARCH as

diffusion approximations, Journal of Empirical Finance, Vol. 8 (1), pp. 83-110, TD No. 396

(February 2001).

P. CIPOLLONE, La convergenza dei salari manifatturieri in Europa, Politica economica, Vol. 17 (1), pp. 97-125, TD No. 398 (February 2001).

E. BONACCORSI DI PATTI and G. GOBBI, The changing structure of local credit markets: Are small

businesses special?, Journal of Banking and Finance, Vol. 25 (12), pp. 2209-2237, TD No. 404

(June 2001).

CORSETTI G.,PERICOLI M.,SBRACIA M., Some contagion, some interdependence: more pitfalls in tests of