Labour market analysis is an important element to understand the inequality and poverty within a given population. The literature reveals that the informal sector is characterised by a great deal of flexibility and is exempt from formal market rigidities on the one hand, but on the other hand, this sector can constitute a trap from which it is difficult to exit for workers active in the sector with low wages. In this article, we aim to identify the main characteristics differentiating the labour supply of workers on the informal and formal market in the Philippines while estimating these two labour supplies, capturing discrete choice or changes in employment status. We use these estimates to construct a labour supply model that can serve as an input for a broader macro–microsimulation model applied to the Philippines. The results of the estimation provide relatively intuitive findings, highlighting some differences between the two markets. We also shed some light on this macro–microsimulation modelling framework that is generally opaque, in describing how to construct a microsimulation model with endogenous discrete choice model linked to a computable general equilibrium (CGE) model.
AgénorP.-R.AizenmanJ. (1999). Macroeconomic adjustment with segmented labour markets. Journal of Development Economics, 58(2), 277–96.
2.
AgénorP.-R.IzquierdoA.FofackH. (2003). IMMPA: A quantitative macroeconomic framework for the analysis of poverty reduction strategies. Mimeo, World Bank, Washington.
3.
AzamJ.-P. (1997). Efficiency wage and the family: An explanation for the impact of the agricultural minimum wage in Morocco. Kyklos, 50(3), 369–82.
4.
BadaouiE. ElStroblE.A.WalshF. (2010). The formal sector wage premium and firm size. Journal of Development Economics, 91(1), 37–47.
5.
BanerjeeB. (1983). The role of the informal sector in the migration process: A test of probalistic migration models and labour market segmentation for India. Oxford Economic Papers, 35(1), 399–422.
6.
BargainO.KwendaP. (2009). The informal sector wage gap: New evidence using quantile estimations on panel data. IZA Discussion Paper No. 4286. Retrieved from SSRN: http://ssrn.com/abstract=1434620
7.
BesleyT.BurgessR. (2004). Can labour regulation hinder economic performance? Evidence from India. Quarterly Journal of Economics, 119(1), 91–134.
8.
BlunchN.-H.CanagarajahS.RajuD. (2001). The informal sector revisited: A synthesis across space and time. World Bank Social Protection Discussion Paper Series No. 0119.
9.
BoccanfusoD.MissinhounR.A.SavardL. (2010). Réformes économiques et croissance pro-pauvre : Une application aux Philippines. Louvain Economic Review, 76(3), 257–88.
10.
BoetersS.SavardL. (2012). Labour market modelling in a CGE context. In DixonP.JorgensonD. (Eds), Handbook of Computable General Equilibrium Modeling (forthcoming). Oxford: Elsevier.
11.
BourguignonF.RobilliardA.-S.RobinsonS. (2005). Representative versus real households in the macroeconomic modelling of inequality. In KehoeT.J.SrinivasanT.N.WhalleyJ. (Eds), Frontiers in applied general equilibrium modelling (pp. 219–54). Cambridge: Cambridge University Press.
12.
BourguignonF.SavardL. (2008). A CGE integrated multi-household model with segmented labour markets and unemployment. In BourguignonF.Pereira da SilvaL.A.BussoloM. (Eds), The impact of macroeconomic policies on poverty and income distribution: Macro–micro evaluation techniques and tools (pp. 177–212), Houndmills: Palgrave Macmillan.
13.
BourguignonF.SpadaroA. (2006). Microsimulation as a tool for evaluating redistribution policies. Journal of Economic Inequality, 4(1), 77–106.
14.
BussoloM.LayJ.MedvedevD.van der MensbruggheD. (2008). Trade options for Latin America: A poverty assessment using a top-down 86 macro–micro modeling framework. In BourguignonF.Pereira da SilvaL.A.BussoloM. (Eds), The impact of macroeconomic policies on poverty and income distribution: Macro–micro evaluation techniques and tools (pp. 61–90). Houndmills: Palgrave Macmillan.
15.
CogneauD.RobilliardA.-S. (2001). Croissance, distribution et pauvreté : Un modèle de micro simulation en équilibre général appliqué à Madagascar. Working Papers DT/2001/19, DIAL (Développement, Institutions & Analyses de Long terme).
16.
CogneauD.RobilliardA.-S. (2008). Simulating targeted policies with macro impacts: Poverty alleviation policies in Madagascar. In BourguignonF.Pereira da SilvaL.A.BussoloM. (Eds), The impact of macroeconomic policies on poverty and income distribution: Macro–micro evaluation techniques and tools (pp. 212–45). Houndmills: Palgrave Macmillan.
17.
DaviesJ.B. (2009). Combining microsimulation with CGE and macro modelling for distributional analysis in developing and transition countries. International Journal of Microsimulation, 2(1), 49–65.
18.
DecaluwéB.DumontJ.-C.SavardL. (2000). Measuring poverty and inequality in a computable general equilibrium model. Cahiers de recherche n°99-26, Université Laval Québec.
19.
DevarajanS.GhanemH.ThierfelderK. (1999). Labour market regulations, trade liberalization and the distribution of income in Bangladesh. Journal of Policy Reform, 3(1), 1–28.
20.
D’SouzaE. (2010). The employment effects of labour legislation in India: A critical essay. Industrial Relations Journal, 41(2), 122–35.
21.
DickensW.LangK. (1985). A test of the dual labour market theory. American Economic Review, 75(4), 792–805.
22.
FieldsG.S. (1975). Rural–urban migration, urban unemployment and underemployment, and job search activity in LDCs. Journal of Development Economics, 2(2), 165–87.
23.
FieldsG.S. (2009). Segmented labour market models in developing countries. In KincaidH.RossD. (Eds), The Oxford handbook of philosophy of economics (pp. 476–510). Oxford: Oxford University Press.
24.
FortinB.MarceauN.SavardL. (1997). Taxation, wage controls and the informal sector. Journal of Public Economics, 66(2), 293–312.
25.
GangI.GangopadhyayS. (1990). A model of the informal sector in development. Journal of Economic Studies, 17(5), 19–31.
26.
GersbachH.SchniewinA. (2001). Awareness of general equilibrium effects and unemployment. IZA Discussion Paper No 394.
27.
GindlingT.H. (1991). Labour market segmentation and the determination of wages in the public, private–formal, and informal sectors in San Jose, Costa Rica. Economic Development and Cultural Change, 39(3), 584–605.
28.
Glipo–CarascoA. (2001). Effects of globalization on women in the informal sector: Harnessing local capacity in times of crisis. In GersterR. (Ed.), Linking work, skills and knowledge: Learning for survival and growth (p. 8). Report of international conference, Interlaken, Switzerland, 10–12September. Bern: Swiss Agency for Development and Cooperation.
29.
GüntherI.LaunovA. (2011). Informal employment in developing countries: Opportunity or last resort. Journal of Development Economics, in press.
30.
GuptaI.MitraA. (2002). Rural migrants and labour segmentation: Micro-level evidence from Delhi slums. Economic and Political Weekly, 37(2), 163–68.
31.
HarrisJ.R.TodaroM.P. (1970). Migration, unemployment and development: A two-sector analysis. American Economic Review, 60(1), 126–42.
32.
HéraultN. (2007). Trade liberalization, poverty and inequality in South Africa: A computable general equilibrum–microsimulation analysis. Economic Record, 83(262), 317–28.
33.
HertelT.ReimerJ. (2005). Predicting the poverty impacts of trade reform. Journal of International Trade & Economic Development, 14(4), 377–405.
34.
LanotG.MullerC. (1997). Dualistic sector choice and female labour supply: Evidence from formal and informal sectors in Cameroon. The Centre for the Study of African Economies Working Paper Series, No. #57.
35.
LehmannH.PignattiN. (2007). Informal employment relationships and labour market segmentation in transition economies: Evidence from Ukraine. IZA Discussion Paper Series No. 3269.
36.
LemosS. (2009). Minimum wage effects in a developing country. Labour Economics, 16(2), 224–37.
37.
LeontaridiM. (1998). Segmented labour markets: Theory and evidence. Journal of Economic Surveys, 12(1), 103–09.
38.
LewisW.A. (1958). Economic development with unlimited supplies of labour. In AgarwalaH.N.SinghS.P. (Eds), The Economics of underdevelopment (pp. 400–09). Bombay: Oxford University Press.
39.
LoayzaN.OviedoA.-M.ServénL. (2006). The impact of regulation on growth and informality: Cross-country evidence. In Guha–KhasnobisB.KanburR.OstromE. (Eds), Linking the formal and informal economy: Concepts and policies (pp. 121–44). Oxford: Oxford University Press.
40.
MagnacT. (1991). Segmented or competitive labour markets?Econometrica, 59(1), 165–87.
41.
MaloneyW.F. (2004). Informality revisited. World Development, 32(7), 1159–78.
42.
MarouaniM.A. (2000). Ouverture commerciale et emploi: Un modèle d’équilibre général avec salaires d’efficience appliqué à la Tunisie. Revue Economique, 51(3), 557–69.
43.
MussardS.SavardL. (2012). The gini multi-decomposition and the role of gini’s transvariation: Application to partial trade liberalization in Philippines. Applied Economics, 44(10), 1235–49.
44.
OfreneoR. (1998). Philippine industrial relations and the Asian economic crisis. A paper presented at the Regional Workshop on the Economic Crisis and Labour in Asia, Bandung, Indonesia.
45.
PengY.ZuckerL.G.DarbyM.R. (1997). Chinese rural industrial productivity and urban spillovers. National Bureau of Economic Research Working Paper No. 6202.
46.
PioreM. (1972). The dual labour market: Theory and implications. In GordonD.M. (Ed.), Problems in political economy: An urban perspective (pp. 90–94). Lexington, MA: D.C. Heath and Company.
47.
PratapS.QuintinE. (2006). Are labour markets segmented in developing countries? A semiparametric approach. European Economic Review, 50(7), 1817–41.
48.
RosenzweigM. (1988). Labour markets in low income countries. In CheneryH.SrinivasanT.N. (Eds), Handbook of development economics, Vol. 1 (pp. 723–62). Amsterdam: North Holland Publishing.
49.
RoyA. (1951). Some thoughts on the distribution of earnings. Oxford Economic Papers, 3(2), 135–46.
50.
SavardL. (2003). Poverty and income distribution in a CGE-household micro-simulation model: Top-down/bottom up approach. Cahiers de recherche 0343, CIRPEE.
51.
SavardL. (2005). Poverty and inequality analysis within a CGE framework: A comparative analysis of the representative agent and microsimulation approaches. Development Policy Review, 23(3), 313–32.
52.
SavardL. (2010). Scaling up infrastructure spending in the Philippines: A top-down bottom up micro-simulation approach. International Journal of Microsimulation, 3(1), 43–59.
53.
SavardL.AdjoviE. (1998). Externalités de la santé et de l’éducation et bien-être : Un MEGC appliqué au Bénin. L’Actualité Économique, 74(3), 523–60.
54.
SchneiderF. (2002). Size and measurement of the informal economy in 110 countries around the world. Paper presented at the Workshop of Australian National Tax Centre, Canberra, Australia, 17 July.
55.
SinhaA.AdamC. (2006). Trade reforms and informalization: Getting behind jobless growth in India. In Guha–KhasnobisB.KanburR. (Eds), Informal labour markets and development (pp. 29–49). London: Palgrave Macmillan.
56.
ThierfelderK.ShiellsC.R. (1997). Trade and labour market behavior. In FrancoisJ.ReinertK. (Eds), Applied methods for trade policy analysis: A handbook (pp. 435–78). Cambridge: Cambridge University Press.
57.
ThomasM.ValléeL. (1996). Labour market segmentation in Cameroonian manufacturing. Journal of Development Studies, 32(6), 876–98.
