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Mercado laboral y pobreza
Eduardo Rodríguez-Oreggia
EGAP ITESM
eduardo.oreggia@gmail.com
• La desigualdad en México es alta comparativamente: el mayor
crecimiento en desigualdad 1980-2000 (OECD)
• Oferta laboral es mecanismo principal en hogares. Lo que
hagan en mercado de trabajo se reflejan en vulnerabilidad y
status de pobreza.
• La dinámica labora en la arena formal/informal
• Shocks macro como la crisis 2008-09 afecta el mercado de
trabajo y pobreza varios canales: salarios reales baja,
despidos, recortes gasto.
• Falta mayor investigación sobre la dinámica del mercado de trabajo
y de la pobreza.
• Falta de datos panel (Ñopo y Pizzolito, 2011): mayor efectividad de
políticas públicas prevenir HH caer pobreza estudiando movilidad y
factores que inciden en ello.
• No tantos estudios a nivel global. Argentina, Corbacho et al (2003):
menor vulnerabilidad pobreza más educados, sector público, más
vulnerables: con mayor # adultos mayores y niños. Ingreso no
laboral mecanismo importante.
• Beccaria et al (2011) para 5 países AL: HH hacen mayor uso de
miembros con ingreso, pero ni así pueden salir de pobreza.
• México, Antmant y Mckenzie (2007): pseudo panel 1987-2001,
datos agregados. Baja movilidad en ingresos. Un shock a ingresos
laborales puede ser recuperado en 2 años.
•
70
75
80
85
90
95
100
105
110
115
2008:II
2008:III
2008:IV
2009:I
2009:II
2009:III
2009:IV
2010:I
2010:II
Mexico: GDP and Aggregate demand (s.a., Q2-2008=100)
GDP Private Investment Exports Private Consumption Public Expenditure
38
40
42
44
46
48
50
52
I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV
2005 2006 2007 2008 2009 2010 2011
Workers(Millions)
Fuerza de Trabajo (PEA)
Labor Force
2.50%
3.00%
3.50%
4.00%
4.50%
5.00%
5.50%
6.00%
6.50%
I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV
2005 2006 2007 2008 2009 2010 2011
Tasa de Desempleo
Unemployment
rate
15
25
35
45
55
65
75
I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV
2005 2006 2007 2008 2009 2010 2011
RealHourlyWage(2010pesos) Salario real por hora por tipo de educación
Low education (up
to 6 years of
schooling)
Medium education
(more than 6 and up
to 12 years of
schooling)
High education
(more than 12 years
of schooling)
0
10
20
30
40
50
60
I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV
2005 2006 2007 2008 2009 2010 2011
Workers(Millions)
Ocupados e informales
Occupied
Formal workers
Informal workers
20
25
30
35
40
45
50
55
60
65
I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV
2005 2006 2007 2008 2009 2010 2011
RealHourlyWage(2010pesos)
Salario real por hora promedio por tipo de aseguramiento
Public Sector
Private Formal Employees
Private Employees with no coverage
Self employed/owner
53.1 52.4
69
63.7
53.6 50
47.2 47
42.7
47.7
51.3
29.7
30
46.9
41.7
31.8
26.9
24.7 24.7
20.7
25.3
26.7
21.4 21.2
37.4
33.3
24.1
20
17.4 18.2
13.8
18.4 18.8
0
10
20
30
40
50
60
70
80
1992 1994 1996 1998 2000 2002 2004 2005 2006NF 2008NF 2010
Percentageofpeople Niveles de pobreza, 1992-2010
Assets Poverty
Capacities poverty
Food poverty
0.70
0.80
0.90
1.00
1.10
1.20
1.30
I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV
2005 2006 2007 2008 2009 2010
ITLPyPobrezadeIngresos
Pobreza Laboral y de Ingresos
CONEVAL Incluye salarios mínimos Matching Pobreza de Activos Pobreza de Capacidades Pobreza Alimentaria
0.90
0.95
1.00
1.05
1.10
1.15
1.20
I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV
2005 2006 2007 2008 2009 2010
ITLPySalariosMínimos
Evolución de Salarios Mínimos y Pobreza Laboral
CONEVAL Incluye salarios mínimos Matching Salario Mínimo Promedio
• Observamos individuos por un año, antes y después crisis,
para determinar su movilidad laboral y encontramos::
• - Aumento en persistencia de inactividad (73 a 78%)
• Aumento en la persistencia de desempleo (de 10% a 16%)
• Aumento en persistencia de empleo (81 a 85%)
• Aumento en persistencia (menos movilidad) acompañada de
baja creación de empleos.
• ¿Qué pasa dentro de los hogares en términos de movilidad
laboral y pobreza?
• Usamos las ENOE para crear un panel virtual: matching III-05 y
III-10.
• Usando un panel virtual creado con las encuestas de empleo
se analizan dinámica laboral y de pobreza laboral.
• Probit con panel de pobre laboral o no pobre laboral por
hogar con características sociodemográficas del jefe y del
hogar antes y después de crisis.
• Multinomial logit de no ser pobre laboral nunca, siempre
pobre, entra en pobre, sale de pobre.
Probit for poor = 1. Labor Income only
National Rural Urban
Year (2010) 0.214*** 0.007 0.16*** -0.337 0.223*** 0.009
(0.008) ( .08) (0.022) (0.216) (0.009) (0.101)
Male -0.624*** -0.674*** -0.869*** -0.851*** -0.57*** -0.631***
(0.017) ( .024) (0.048) (0.068) (0.018) (0.026)
Age 0.019*** 0.021*** 0.028*** 0.042*** 0.019*** 0.020***
(0.004) ( .004) (0.01) (0.011) (0.004) (0.004)
Age^2 -0.000 -0.00008* -0.0001 -0.0003*** -0.00003 -0.00006
0.000 (0.000) (0.0001) (0.0001) (0.00005) (0.00006)
Married 0.457*** 0.455*** 0.473*** 0.411*** 0.443*** 0.452***
(0.016) ( .025) (0.047) (0.0718) (0.018) (0.027)
Rural -0.580*** -0.538***
(0.014) ( .02)
HH with one income -0.456*** -0.453*** -0.491*** -0.490*** -0.451*** -0.448***
(0.010) ( .01) (0.028) (0.028) (0.011) (0.011)
% of people working
with income in HH
-1.126*** -1.026*** -0.902*** -0.867*** -1.178*** -1.069***
(-0.025) (.0369) (0.056) (0.079) (0.028) (0.041)
% of unemployed
people per HH
0.475*** 0.475*** 0.542*** 0.539*** 0.446*** 0.447***
(0.021) ( .02) (0.066) (0.067) (0.022) (0.022)
% of workers per HH
with Social Security
0.167*** 0.157*** 0.133** -0.082 0.136*** 0.142***
(0.018) (.027) (0.064) (0.093) (0.02) (0.029)
Number of Kids per
HH
0.413*** 0.396*** 0.365*** 0.352*** 0.422*** 0.404***
(0.004) (.006) (0.011) (0.015) (0.005) (0.007)
Number of older per
HH
0.557*** 0.575*** 0.436*** 0.492*** 0.572*** 0.580***
(0.020) (.029) (0.054) (0.078) (0.021) (0.031)
Standard errors in parenthesis
* p<0.05, ** p<0.01, *** p<0.001
Probit 1= Pobre laboral 2005-20120
Probit for poor = 1. Labor Income only
National Rural Urban
Secondary school
-0.120*** -0.161*** -0.144*** -0.143*** -0.125*** -0.178***
(0.014) (.019) (0.028) (0.038) (0.016) (0.022)
High school -0.358*** -.412*** -0.341*** -0.387*** -0.373*** -0.430***
(0.013) (.018) (0.031) (0.043) (0.015) (0.021)
College school -1.018*** -1.052*** -0.781*** -0.706*** -1.042*** -1.081***
(-0.017) (.024) (0.078) (0.122) (0.019) (0.026)
Self employed -0.042*** -0.059*** 0.192*** 0.155*** -0.069*** -0.087***
(0.011) (.016) (0.026) (0.036) (0.013) (0.018)
Industrial Sector -1.360*** -1.342*** -1.043*** -0.984*** -1.593*** -1.595***
(-0.017) (.023) (0.032) (0.043) (0.022) (0.031)
Services Sector -1.348*** -1.317*** -0.986*** -0.971*** -1.570*** -1.552***
(-0.016) (.022) (0.031) (0.042) (0.021) (0.029)
Social Security -0.662*** -0.673*** -0.845*** -0.729*** -0.604*** -0.624***
(0.017) (.0252) (0.061) (0.088) (0.026)
Year10-Male 0.099*** -0.033 0.118***
(.032) 0.092 (0.034)
Year10-Age 0.004*** 0.009*** 0.118***
(.001) (0.003) (0.034)
Year10-Married 0.007 0.114 0.004***
(.033) (0.095) (0.001)
Year10-Rural -0.081***
(.027)
Year10-% ing -0.179*** -0.067 -0.011
(.049) (0.110) (0.036)
Year10 - % workers with SS 0.021 0.415*** -0.193***
Standard errors in parenthesis
* p<0.05, ** p<0.01, *** p<0.001
Table 2
Probit for poor = 1. Labor Income only
National Rural Urban
(.037) (0.129) (0.055)
Year10 - num kids 0.035*** 0.024 -0.009
(.008) (0.021) 0.040
Year10-num older -0.038 -0.122 0.039***
(.04) (0.108) (0.009)
Year10-Secondary 0.082*** -0.010 0.110***
(.027) (0.054) (0.031)
Year10-Highschool 0.107*** 0.088 0.117***
(.0263) (0.059) (0.030)
Year10-College 0.063* -0.136 0.078**
(.033) (0.155) (0.035)
Year10-Self employed 0.036 0.074 0.038
(.023) (0.052) (0.026)
Year10-Services -0.058** -0.032 -0.033
(.03) (0.057) (0.039)
Year10-Industry -0.035 -0.133** 0.006
(.031) (0.059) (0.041)
Year10-Social Security 0.02 -0.214* 0.036
-0.034 (0.121) (0.036)
Wald chi2 21119.06 21126.08 3050.33 3037.95 17668.65 17688.32
Observations 131134 131134 19399 19399 111735 111735
Standard errors in parenthesis
* p<0.05, ** p<0.01, *** p<0.001
Table 2
Marginal effects after mlogit
Overall Rural Urban
Pr(catching
up)
Pr(falling
into poverty)
Pr(always in
poverty)
Pr(catching
up)
Pr(falling
into poverty)
Pr(always in
poverty)
Pr(catching
up)
Pr(falling into
poverty)
Pr(always in
poverty)
Male -0.014** -0.011 -0.242*** -0.038 0.09*** -0.276*** -0.009 -0.032* -0.227***
(0.007) (0.016) (0.015) (0.024) (0.03) (0.036) (0.007) (0.018) (0.017)
Age 0.0005 -0.015*** -0.001 -0.0009 0.0002 0.003 0.0009 -0.018*** -0.001
(0.003) (0.002) (0.002) (0.008) (0.007) (0.01) (0.003) (0.002) (0.002)
Age^2 -0.00001 0.0002*** 0.00009*** 0.0000 0.00001 0.00002 -0.00001 0.0002*** 0.00009***
(0.00004) (0.00003) (0.00003) (0.0001) (0.00009) (0.0001) (0.00004) (0.00003) (0.00003)
Married 0.056*** 0.062*** 0.094*** 0.068*** -0.006 0.104*** 0.053*** 0.072*** 0.09***
(0.008) (0.01) (0.008) (0.024) (0.029) (0.031) (0.009) (0.011) (0.009)
Rural -0.071*** 0.058*** -0.085***
(0.007) (0.013) (0.01)
HH with
one income -0.08*** 0.004 -0.092*** -0.071*** 0.074*** -0.133*** -0.08*** -0.006 -0.084***
(0.008) (0.006) (0.009) (0.019) (0.02) (0.021) (0.008) (0.007) (0.01)
% of people
working
with
income in
HH
-0.154*** 0.021 -0.181*** -0.087** 0.054 -0.249*** -0.17*** 0.021 -0.163***
(0.021) (0.02) (0.016) (0.036) (0.034) (0.046) (0.024) (0.026) (0.015)
% of
unemploye
d people
per HH
0.072*** -0.003 0.085*** 0.031 -0.03 0.12 0.069*** 0.003 0.075***
(0.012) (0.008) (0.013) (0.045) (0.064) (0.083) (0.012) (0.009) (0.013)
% of
workers
per HH with
Social
Security
0.025** -0.039*** 0.022 -0.025 -0.015 -0.004 0.023** -0.036*** 0.017
(0.011) (0.013) (0.015) (0.033) (0.049) (0.053) (0.011) (0.014) (0.014)
Standard errors in parenthesis
* p<0.05, ** p<0.01, *** p<0.001
Multinomial Logit 2005-2010
Marginal effects after mlogit
Overall Rural Urban
Pr(catching
up)
Pr(falling
into
poverty)
Pr(always in
poverty)
Pr(catching
up)
Pr(falling
into
poverty)
Pr(always in
poverty)
Pr(catching
up)
Pr(falling
into
poverty)
Pr(always in
poverty)
Number of
Kids per
HH
0.032*** 0.018*** 0.109*** 0.021*** -0.028*** 0.126*** 0.032*** 0.026*** 0.104***
(0.003) (0.004) (0.005) (0.006) (0.009) (0.011) (0.003) (0.004) (0.005)
Number of
older per
HH
0.054*** 0.015 0.148*** 0.065** -0.006 0.144*** 0.049*** 0.019 0.144***
(0.009) (0.014) (0.011) (0.03) (0.034) (0.051) (0.013) (0.014) (0.009)
Secondary
school -0.009 -0.011 -0.043*** 0.023 -0.031 -0.071*** -0.017* -0.0004 -0.039***
(0.008) (0.009) (0.008) (0.017) (0.019) (0.018) (0.01) (0.01) (0.008)
High
school 0.0004 -0.047*** -0.131*** 0.042** -0.042** -0.186*** -0.009 -0.041*** -0.123***
(0.009) (0.012) (0.013) (0.019) (0.02) (0.026) (0.011) (0.013) (0.013)
College
school -0.056*** -0.144*** -0.224*** 0.021 -0.163*** -0.246*** -0.065*** -0.139*** -0.218***
(0.009) (0.009) (0.016) (0.049) (0.021) (0.026) (0.01) (0.01) (0.015)
Self
employed -0.01 -0.003 -0.003 0.007 -0.022 0.063** -0.011 -0.003 -0.011*
(0.007) (0.007) (0.008) (0.016) (0.021) (0.03) (0.007) (0.008) (0.007)
Industrial
Sector -0.181*** 0.143*** -0.172*** -0.144*** 0.198*** -0.2*** -0.205*** 0.133*** -0.182***
(0.008) (0.014) (0.013) (0.017) (0.03) (0.035) (0.009) (0.021) (0.012)
Services
Sector -0.22*** 0.172*** -0.217*** -0.135*** 0.205*** -0.204*** -0.269*** 0.182*** -0.244***
(0.01) (0.013) (0.016) (0.014) (0.024) (0.028) (0.013) (0.016) (0.018)
Social
Security -0.12*** 0.085*** -0.091*** -0.111*** 0.151*** -0.164*** -0.113*** 0.074*** -0.078***
(0.01) (0.011) (0.011) (0.024) (0.038) (0.033) (0.01) (0.012) (0.01)
N 58420 58420 58420 8166 8166 8166 50254 50254 50254
Wald chi2 . . . . . . . . .
Pseudo R2 0.1937 0.1937 0.1937 0.178 0.178 0.178 0.1948 0.1948 0.1948
Standard errors in parenthesis
* p<0.05, ** p<0.01, *** p<0.001
Table 3
• Para encontrarse en condición de pobreza laboral:
• 1. más en 2010 que en 2005
• 2. Menor probabilidad jefe hombre
• 3.Mayor probabilidad urbana que rural /casado / edad
• 4. Mayor % miembros con ingreso menor probabilidad
• 5. Mayor % miembros desempleados mayor probabilidad
• 6. Mayor % miembros con seguridad social menor
probabilidad
• 7. Mayor % adultos mayores o niños mayor probabilidad
• 8. Después de crisis seguirdad social = menor probabilidad
• ¿Qué factores inciden en permanecer pobre, entrar en pobre,
salir de pobre o nunca ser pobre?
• Jefes hombres menos probabilidad de estar siempre pobre o
de salir de pobre.
• Rural menos probabilidad de salir de pobre y más de caer en
pobre.
• Mayor % de miembros con ingreso menor probabilidad de
estar siempre pobre.
• Mayor % miembros trabajan con seguridad social mayor
probabilidad de salir pobre y menor probabilidad de caer en
pobreza.
• Mayor niños y adultos mayores mayor probabilidad de pasar
por pobre.
• Mayor educación menor probabilidad pasar pobre.
Beneficiaries and budget of the Progama of Temporal Employment (PET), Real pesos (2010)
Federal Budget State Budget % Increase in Budget
% Increse in
beneficiarie
s
Women Men Total Total Total Total
2001 52,117 496,586 1,315,999 1,812,585 $4,189,653,967.66 $450,019,780.18 $4,639,673,747.84
2002 51,021 543,243 1,278,419 1,821,662 $4,242,774,631.04 $245,796,508.44 $4,488,571,139.48 -3.26 0.50
2003 25,311 250,180 567,315 817,495 $2,255,278,382.08 $138,524,438.50 $2,393,802,820.58 -46.67 -55.12
2004 21,113 202,856 472,362 675,218 $2,109,057,492.07 $105,885,426.28 $2,214,942,918.22 -7.47 -17.40
2005 19,944 216,825 455,613 672,438 $1,877,185,023.02 $94,377,560.32 $1,971,562,583.33 -10.99 -0.41
2006 12,179 125,229 255,381 380,610 $1,281,311,186.55 $83,278,255.43 $1,364,589,441.99 -30.79 -43.40
2007 15,703 158,032 319,639 477,671 $1,618,325,026.11 $118,873,516.82 $1,737,198,542.93 27.31 25.50
2008 10,885 180,993 204,031 385,024 $937,778,360.49 $115,867,574.70 $1,053,645,935.20 -39.35 -19.40
2009 29,694 279,838 402,989 682,827 $2,367,102,898.59 $118,748,488.50 $2,485,851,387.09 135.93 77.35
2010 26,712 427,985 469,722 897,707 $2,756,077,660.77 $110,812,687.92 $2,866,890,348.70 15.33 31.47
Source: data from the Information Center for the Program of Temporal Employment (CIPET)
Year
Implemented
Works
Beneficiaries (2001-2008), Identified
(2009-2010)
National System of Employment and other labor programs
Recruitment Service Support to Employment Microregions Emergency Actions Total
Year Attended Hired Attended Hired Attended Hired Attended Hired Attended Hired
2005 1,712,639 375,140 340,597 186,841 11,557 4,366 n.a. n.a. 2,111,177 591,438
2006 1,772,493 377,747 301,285 165,428 12,362 6,262 n.a. n.a. 2,086,140 549,437
2007 1,950,746 447,814 309,884 200,960 12,250 8,705 n.a. n.a. 2,272,880 657,479
2008 2,775,180 590,986 463,227 262,230 6,067 3,062 n.a. n.a. 3,244,474 856,278
2009 3,424,515 577,545 398,406 222,357 n.a. n.a. 116,480 96,500 3,939,401 896,402
2010 3,563,825 665,861 439,842 261,119 n.a. n.a. 81,007 60,817 4,084,674 987,797
Recruitment service: includes the recruitment agency in all forms, workshops for seeking jobs, and agriculture temporary jobs
Suport to employment: includes Probecat, Pae, Becate, internal labor movility,
Emergency actions: Includes Action for Support Employment, Emergency Actions for Service Sector Workers
• Conclusiones:
• Hay una precarización del trabajo agravada por la crisis 2008-
09.
• Los mecanismos públicos han sido insuficientes e inefectivos.
• La dinámica laboral ha aumentado el número de miembros de
hogar con ingresos para prevenir entrada en pobreza, pero ha
sido insuficiente.
• Contar con seguridad social por el trabajo es uno de los
mecanismos principales para evitar caer en pobreza laboral.
(Asociada a trabajos más productivos)
Mercado laboral y pobreza
Eduardo Rodríguez-Oreggia
EGAP ITESM
eduardo.oreggia@gmail.com

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Oreggia

  • 1. Mercado laboral y pobreza Eduardo Rodríguez-Oreggia EGAP ITESM eduardo.oreggia@gmail.com
  • 2. • La desigualdad en México es alta comparativamente: el mayor crecimiento en desigualdad 1980-2000 (OECD) • Oferta laboral es mecanismo principal en hogares. Lo que hagan en mercado de trabajo se reflejan en vulnerabilidad y status de pobreza. • La dinámica labora en la arena formal/informal • Shocks macro como la crisis 2008-09 afecta el mercado de trabajo y pobreza varios canales: salarios reales baja, despidos, recortes gasto.
  • 3. • Falta mayor investigación sobre la dinámica del mercado de trabajo y de la pobreza. • Falta de datos panel (Ñopo y Pizzolito, 2011): mayor efectividad de políticas públicas prevenir HH caer pobreza estudiando movilidad y factores que inciden en ello. • No tantos estudios a nivel global. Argentina, Corbacho et al (2003): menor vulnerabilidad pobreza más educados, sector público, más vulnerables: con mayor # adultos mayores y niños. Ingreso no laboral mecanismo importante. • Beccaria et al (2011) para 5 países AL: HH hacen mayor uso de miembros con ingreso, pero ni así pueden salir de pobreza. • México, Antmant y Mckenzie (2007): pseudo panel 1987-2001, datos agregados. Baja movilidad en ingresos. Un shock a ingresos laborales puede ser recuperado en 2 años. •
  • 4. 70 75 80 85 90 95 100 105 110 115 2008:II 2008:III 2008:IV 2009:I 2009:II 2009:III 2009:IV 2010:I 2010:II Mexico: GDP and Aggregate demand (s.a., Q2-2008=100) GDP Private Investment Exports Private Consumption Public Expenditure
  • 5. 38 40 42 44 46 48 50 52 I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV 2005 2006 2007 2008 2009 2010 2011 Workers(Millions) Fuerza de Trabajo (PEA) Labor Force
  • 6. 2.50% 3.00% 3.50% 4.00% 4.50% 5.00% 5.50% 6.00% 6.50% I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV 2005 2006 2007 2008 2009 2010 2011 Tasa de Desempleo Unemployment rate
  • 7. 15 25 35 45 55 65 75 I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV 2005 2006 2007 2008 2009 2010 2011 RealHourlyWage(2010pesos) Salario real por hora por tipo de educación Low education (up to 6 years of schooling) Medium education (more than 6 and up to 12 years of schooling) High education (more than 12 years of schooling)
  • 8. 0 10 20 30 40 50 60 I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV 2005 2006 2007 2008 2009 2010 2011 Workers(Millions) Ocupados e informales Occupied Formal workers Informal workers
  • 9. 20 25 30 35 40 45 50 55 60 65 I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV 2005 2006 2007 2008 2009 2010 2011 RealHourlyWage(2010pesos) Salario real por hora promedio por tipo de aseguramiento Public Sector Private Formal Employees Private Employees with no coverage Self employed/owner
  • 10. 53.1 52.4 69 63.7 53.6 50 47.2 47 42.7 47.7 51.3 29.7 30 46.9 41.7 31.8 26.9 24.7 24.7 20.7 25.3 26.7 21.4 21.2 37.4 33.3 24.1 20 17.4 18.2 13.8 18.4 18.8 0 10 20 30 40 50 60 70 80 1992 1994 1996 1998 2000 2002 2004 2005 2006NF 2008NF 2010 Percentageofpeople Niveles de pobreza, 1992-2010 Assets Poverty Capacities poverty Food poverty
  • 11. 0.70 0.80 0.90 1.00 1.10 1.20 1.30 I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV 2005 2006 2007 2008 2009 2010 ITLPyPobrezadeIngresos Pobreza Laboral y de Ingresos CONEVAL Incluye salarios mínimos Matching Pobreza de Activos Pobreza de Capacidades Pobreza Alimentaria
  • 12. 0.90 0.95 1.00 1.05 1.10 1.15 1.20 I II III IV I II III IV I II III IV I II III IV I II III IV I II III IV 2005 2006 2007 2008 2009 2010 ITLPySalariosMínimos Evolución de Salarios Mínimos y Pobreza Laboral CONEVAL Incluye salarios mínimos Matching Salario Mínimo Promedio
  • 13. • Observamos individuos por un año, antes y después crisis, para determinar su movilidad laboral y encontramos:: • - Aumento en persistencia de inactividad (73 a 78%) • Aumento en la persistencia de desempleo (de 10% a 16%) • Aumento en persistencia de empleo (81 a 85%) • Aumento en persistencia (menos movilidad) acompañada de baja creación de empleos.
  • 14. • ¿Qué pasa dentro de los hogares en términos de movilidad laboral y pobreza? • Usamos las ENOE para crear un panel virtual: matching III-05 y III-10. • Usando un panel virtual creado con las encuestas de empleo se analizan dinámica laboral y de pobreza laboral. • Probit con panel de pobre laboral o no pobre laboral por hogar con características sociodemográficas del jefe y del hogar antes y después de crisis. • Multinomial logit de no ser pobre laboral nunca, siempre pobre, entra en pobre, sale de pobre.
  • 15. Probit for poor = 1. Labor Income only National Rural Urban Year (2010) 0.214*** 0.007 0.16*** -0.337 0.223*** 0.009 (0.008) ( .08) (0.022) (0.216) (0.009) (0.101) Male -0.624*** -0.674*** -0.869*** -0.851*** -0.57*** -0.631*** (0.017) ( .024) (0.048) (0.068) (0.018) (0.026) Age 0.019*** 0.021*** 0.028*** 0.042*** 0.019*** 0.020*** (0.004) ( .004) (0.01) (0.011) (0.004) (0.004) Age^2 -0.000 -0.00008* -0.0001 -0.0003*** -0.00003 -0.00006 0.000 (0.000) (0.0001) (0.0001) (0.00005) (0.00006) Married 0.457*** 0.455*** 0.473*** 0.411*** 0.443*** 0.452*** (0.016) ( .025) (0.047) (0.0718) (0.018) (0.027) Rural -0.580*** -0.538*** (0.014) ( .02) HH with one income -0.456*** -0.453*** -0.491*** -0.490*** -0.451*** -0.448*** (0.010) ( .01) (0.028) (0.028) (0.011) (0.011) % of people working with income in HH -1.126*** -1.026*** -0.902*** -0.867*** -1.178*** -1.069*** (-0.025) (.0369) (0.056) (0.079) (0.028) (0.041) % of unemployed people per HH 0.475*** 0.475*** 0.542*** 0.539*** 0.446*** 0.447*** (0.021) ( .02) (0.066) (0.067) (0.022) (0.022) % of workers per HH with Social Security 0.167*** 0.157*** 0.133** -0.082 0.136*** 0.142*** (0.018) (.027) (0.064) (0.093) (0.02) (0.029) Number of Kids per HH 0.413*** 0.396*** 0.365*** 0.352*** 0.422*** 0.404*** (0.004) (.006) (0.011) (0.015) (0.005) (0.007) Number of older per HH 0.557*** 0.575*** 0.436*** 0.492*** 0.572*** 0.580*** (0.020) (.029) (0.054) (0.078) (0.021) (0.031) Standard errors in parenthesis * p<0.05, ** p<0.01, *** p<0.001 Probit 1= Pobre laboral 2005-20120
  • 16. Probit for poor = 1. Labor Income only National Rural Urban Secondary school -0.120*** -0.161*** -0.144*** -0.143*** -0.125*** -0.178*** (0.014) (.019) (0.028) (0.038) (0.016) (0.022) High school -0.358*** -.412*** -0.341*** -0.387*** -0.373*** -0.430*** (0.013) (.018) (0.031) (0.043) (0.015) (0.021) College school -1.018*** -1.052*** -0.781*** -0.706*** -1.042*** -1.081*** (-0.017) (.024) (0.078) (0.122) (0.019) (0.026) Self employed -0.042*** -0.059*** 0.192*** 0.155*** -0.069*** -0.087*** (0.011) (.016) (0.026) (0.036) (0.013) (0.018) Industrial Sector -1.360*** -1.342*** -1.043*** -0.984*** -1.593*** -1.595*** (-0.017) (.023) (0.032) (0.043) (0.022) (0.031) Services Sector -1.348*** -1.317*** -0.986*** -0.971*** -1.570*** -1.552*** (-0.016) (.022) (0.031) (0.042) (0.021) (0.029) Social Security -0.662*** -0.673*** -0.845*** -0.729*** -0.604*** -0.624*** (0.017) (.0252) (0.061) (0.088) (0.026) Year10-Male 0.099*** -0.033 0.118*** (.032) 0.092 (0.034) Year10-Age 0.004*** 0.009*** 0.118*** (.001) (0.003) (0.034) Year10-Married 0.007 0.114 0.004*** (.033) (0.095) (0.001) Year10-Rural -0.081*** (.027) Year10-% ing -0.179*** -0.067 -0.011 (.049) (0.110) (0.036) Year10 - % workers with SS 0.021 0.415*** -0.193*** Standard errors in parenthesis * p<0.05, ** p<0.01, *** p<0.001 Table 2
  • 17. Probit for poor = 1. Labor Income only National Rural Urban (.037) (0.129) (0.055) Year10 - num kids 0.035*** 0.024 -0.009 (.008) (0.021) 0.040 Year10-num older -0.038 -0.122 0.039*** (.04) (0.108) (0.009) Year10-Secondary 0.082*** -0.010 0.110*** (.027) (0.054) (0.031) Year10-Highschool 0.107*** 0.088 0.117*** (.0263) (0.059) (0.030) Year10-College 0.063* -0.136 0.078** (.033) (0.155) (0.035) Year10-Self employed 0.036 0.074 0.038 (.023) (0.052) (0.026) Year10-Services -0.058** -0.032 -0.033 (.03) (0.057) (0.039) Year10-Industry -0.035 -0.133** 0.006 (.031) (0.059) (0.041) Year10-Social Security 0.02 -0.214* 0.036 -0.034 (0.121) (0.036) Wald chi2 21119.06 21126.08 3050.33 3037.95 17668.65 17688.32 Observations 131134 131134 19399 19399 111735 111735 Standard errors in parenthesis * p<0.05, ** p<0.01, *** p<0.001 Table 2
  • 18. Marginal effects after mlogit Overall Rural Urban Pr(catching up) Pr(falling into poverty) Pr(always in poverty) Pr(catching up) Pr(falling into poverty) Pr(always in poverty) Pr(catching up) Pr(falling into poverty) Pr(always in poverty) Male -0.014** -0.011 -0.242*** -0.038 0.09*** -0.276*** -0.009 -0.032* -0.227*** (0.007) (0.016) (0.015) (0.024) (0.03) (0.036) (0.007) (0.018) (0.017) Age 0.0005 -0.015*** -0.001 -0.0009 0.0002 0.003 0.0009 -0.018*** -0.001 (0.003) (0.002) (0.002) (0.008) (0.007) (0.01) (0.003) (0.002) (0.002) Age^2 -0.00001 0.0002*** 0.00009*** 0.0000 0.00001 0.00002 -0.00001 0.0002*** 0.00009*** (0.00004) (0.00003) (0.00003) (0.0001) (0.00009) (0.0001) (0.00004) (0.00003) (0.00003) Married 0.056*** 0.062*** 0.094*** 0.068*** -0.006 0.104*** 0.053*** 0.072*** 0.09*** (0.008) (0.01) (0.008) (0.024) (0.029) (0.031) (0.009) (0.011) (0.009) Rural -0.071*** 0.058*** -0.085*** (0.007) (0.013) (0.01) HH with one income -0.08*** 0.004 -0.092*** -0.071*** 0.074*** -0.133*** -0.08*** -0.006 -0.084*** (0.008) (0.006) (0.009) (0.019) (0.02) (0.021) (0.008) (0.007) (0.01) % of people working with income in HH -0.154*** 0.021 -0.181*** -0.087** 0.054 -0.249*** -0.17*** 0.021 -0.163*** (0.021) (0.02) (0.016) (0.036) (0.034) (0.046) (0.024) (0.026) (0.015) % of unemploye d people per HH 0.072*** -0.003 0.085*** 0.031 -0.03 0.12 0.069*** 0.003 0.075*** (0.012) (0.008) (0.013) (0.045) (0.064) (0.083) (0.012) (0.009) (0.013) % of workers per HH with Social Security 0.025** -0.039*** 0.022 -0.025 -0.015 -0.004 0.023** -0.036*** 0.017 (0.011) (0.013) (0.015) (0.033) (0.049) (0.053) (0.011) (0.014) (0.014) Standard errors in parenthesis * p<0.05, ** p<0.01, *** p<0.001 Multinomial Logit 2005-2010
  • 19. Marginal effects after mlogit Overall Rural Urban Pr(catching up) Pr(falling into poverty) Pr(always in poverty) Pr(catching up) Pr(falling into poverty) Pr(always in poverty) Pr(catching up) Pr(falling into poverty) Pr(always in poverty) Number of Kids per HH 0.032*** 0.018*** 0.109*** 0.021*** -0.028*** 0.126*** 0.032*** 0.026*** 0.104*** (0.003) (0.004) (0.005) (0.006) (0.009) (0.011) (0.003) (0.004) (0.005) Number of older per HH 0.054*** 0.015 0.148*** 0.065** -0.006 0.144*** 0.049*** 0.019 0.144*** (0.009) (0.014) (0.011) (0.03) (0.034) (0.051) (0.013) (0.014) (0.009) Secondary school -0.009 -0.011 -0.043*** 0.023 -0.031 -0.071*** -0.017* -0.0004 -0.039*** (0.008) (0.009) (0.008) (0.017) (0.019) (0.018) (0.01) (0.01) (0.008) High school 0.0004 -0.047*** -0.131*** 0.042** -0.042** -0.186*** -0.009 -0.041*** -0.123*** (0.009) (0.012) (0.013) (0.019) (0.02) (0.026) (0.011) (0.013) (0.013) College school -0.056*** -0.144*** -0.224*** 0.021 -0.163*** -0.246*** -0.065*** -0.139*** -0.218*** (0.009) (0.009) (0.016) (0.049) (0.021) (0.026) (0.01) (0.01) (0.015) Self employed -0.01 -0.003 -0.003 0.007 -0.022 0.063** -0.011 -0.003 -0.011* (0.007) (0.007) (0.008) (0.016) (0.021) (0.03) (0.007) (0.008) (0.007) Industrial Sector -0.181*** 0.143*** -0.172*** -0.144*** 0.198*** -0.2*** -0.205*** 0.133*** -0.182*** (0.008) (0.014) (0.013) (0.017) (0.03) (0.035) (0.009) (0.021) (0.012) Services Sector -0.22*** 0.172*** -0.217*** -0.135*** 0.205*** -0.204*** -0.269*** 0.182*** -0.244*** (0.01) (0.013) (0.016) (0.014) (0.024) (0.028) (0.013) (0.016) (0.018) Social Security -0.12*** 0.085*** -0.091*** -0.111*** 0.151*** -0.164*** -0.113*** 0.074*** -0.078*** (0.01) (0.011) (0.011) (0.024) (0.038) (0.033) (0.01) (0.012) (0.01) N 58420 58420 58420 8166 8166 8166 50254 50254 50254 Wald chi2 . . . . . . . . . Pseudo R2 0.1937 0.1937 0.1937 0.178 0.178 0.178 0.1948 0.1948 0.1948 Standard errors in parenthesis * p<0.05, ** p<0.01, *** p<0.001 Table 3
  • 20. • Para encontrarse en condición de pobreza laboral: • 1. más en 2010 que en 2005 • 2. Menor probabilidad jefe hombre • 3.Mayor probabilidad urbana que rural /casado / edad • 4. Mayor % miembros con ingreso menor probabilidad • 5. Mayor % miembros desempleados mayor probabilidad • 6. Mayor % miembros con seguridad social menor probabilidad • 7. Mayor % adultos mayores o niños mayor probabilidad • 8. Después de crisis seguirdad social = menor probabilidad
  • 21. • ¿Qué factores inciden en permanecer pobre, entrar en pobre, salir de pobre o nunca ser pobre? • Jefes hombres menos probabilidad de estar siempre pobre o de salir de pobre. • Rural menos probabilidad de salir de pobre y más de caer en pobre. • Mayor % de miembros con ingreso menor probabilidad de estar siempre pobre. • Mayor % miembros trabajan con seguridad social mayor probabilidad de salir pobre y menor probabilidad de caer en pobreza. • Mayor niños y adultos mayores mayor probabilidad de pasar por pobre. • Mayor educación menor probabilidad pasar pobre.
  • 22. Beneficiaries and budget of the Progama of Temporal Employment (PET), Real pesos (2010) Federal Budget State Budget % Increase in Budget % Increse in beneficiarie s Women Men Total Total Total Total 2001 52,117 496,586 1,315,999 1,812,585 $4,189,653,967.66 $450,019,780.18 $4,639,673,747.84 2002 51,021 543,243 1,278,419 1,821,662 $4,242,774,631.04 $245,796,508.44 $4,488,571,139.48 -3.26 0.50 2003 25,311 250,180 567,315 817,495 $2,255,278,382.08 $138,524,438.50 $2,393,802,820.58 -46.67 -55.12 2004 21,113 202,856 472,362 675,218 $2,109,057,492.07 $105,885,426.28 $2,214,942,918.22 -7.47 -17.40 2005 19,944 216,825 455,613 672,438 $1,877,185,023.02 $94,377,560.32 $1,971,562,583.33 -10.99 -0.41 2006 12,179 125,229 255,381 380,610 $1,281,311,186.55 $83,278,255.43 $1,364,589,441.99 -30.79 -43.40 2007 15,703 158,032 319,639 477,671 $1,618,325,026.11 $118,873,516.82 $1,737,198,542.93 27.31 25.50 2008 10,885 180,993 204,031 385,024 $937,778,360.49 $115,867,574.70 $1,053,645,935.20 -39.35 -19.40 2009 29,694 279,838 402,989 682,827 $2,367,102,898.59 $118,748,488.50 $2,485,851,387.09 135.93 77.35 2010 26,712 427,985 469,722 897,707 $2,756,077,660.77 $110,812,687.92 $2,866,890,348.70 15.33 31.47 Source: data from the Information Center for the Program of Temporal Employment (CIPET) Year Implemented Works Beneficiaries (2001-2008), Identified (2009-2010)
  • 23. National System of Employment and other labor programs Recruitment Service Support to Employment Microregions Emergency Actions Total Year Attended Hired Attended Hired Attended Hired Attended Hired Attended Hired 2005 1,712,639 375,140 340,597 186,841 11,557 4,366 n.a. n.a. 2,111,177 591,438 2006 1,772,493 377,747 301,285 165,428 12,362 6,262 n.a. n.a. 2,086,140 549,437 2007 1,950,746 447,814 309,884 200,960 12,250 8,705 n.a. n.a. 2,272,880 657,479 2008 2,775,180 590,986 463,227 262,230 6,067 3,062 n.a. n.a. 3,244,474 856,278 2009 3,424,515 577,545 398,406 222,357 n.a. n.a. 116,480 96,500 3,939,401 896,402 2010 3,563,825 665,861 439,842 261,119 n.a. n.a. 81,007 60,817 4,084,674 987,797 Recruitment service: includes the recruitment agency in all forms, workshops for seeking jobs, and agriculture temporary jobs Suport to employment: includes Probecat, Pae, Becate, internal labor movility, Emergency actions: Includes Action for Support Employment, Emergency Actions for Service Sector Workers
  • 24. • Conclusiones: • Hay una precarización del trabajo agravada por la crisis 2008- 09. • Los mecanismos públicos han sido insuficientes e inefectivos. • La dinámica laboral ha aumentado el número de miembros de hogar con ingresos para prevenir entrada en pobreza, pero ha sido insuficiente. • Contar con seguridad social por el trabajo es uno de los mecanismos principales para evitar caer en pobreza laboral. (Asociada a trabajos más productivos)
  • 25. Mercado laboral y pobreza Eduardo Rodríguez-Oreggia EGAP ITESM eduardo.oreggia@gmail.com