{UTF-8}
chg in time to adjust training capactiy=
	step (0,5)
	~	Year
	~		|

time to adjust training capacity=
	2 + chg in time to adjust training capactiy
	~	Year
	~	2 + chg in time to adjust training capacity
	|

time to hire foreign nurses= ACTIVE INITIAL (
	ref time to hire foreign nurse * effect of perceived relative gap on time to hire foreign nurse\
		  + step chg in time to hire foreign nurses,
		ref time to hire foreign nurse)
	~	Year
	~		|

average employment tenure=
	25
	~	Year
	~		|

work visa duration=
	3
	~	Year
	~		|

time to perceive relative gap=
	1 + step (step chg in time to hire foreign nurses, 5)
	~	Year
	~		|

chg in time to internalize TFFN=
	step (0,5)
	~	Year
	~	step (99999,5)
		step (0,5)
	|

time to internalize target fract foreign nurses=
	2 + chg in time to internalize TFFN
	~	Year
	~		|

domestic nurse fraction=
	1-foreign nurse fraction
	~	Dmnl
	~		|

supply line switch=
	0
	~	Dmnl [0,1,1]
	~		|

switch for faster downside adjustment=
	0
	~	Dmnl [0,1,1]
	~		|

indicated students in training=
	(desired domestic nurses/average employment tenure)*time to train
	~	nurse
	~		|

desired enrollment= ACTIVE INITIAL (
	  (1-switch on desired domestic nurses) * 
	  (nurse adequacy gap * target fraction domestic nurses / time to adjust training capacity\
		) 
	  + switch on desired domestic nurses * (desired domestic nurses - Domestic Nurses)
	  /time to adjust training capacity + 
	   supply line switch * student in training shortfall/time to adjust training capacity
	  + domestic nurse leaving + dropping out,
		domestic nurse leaving + dropping out)
	~	nurse/Year
	~		|

desired foreign nurse hiring=
	IF THEN ELSE(switch for faster downside adjustment :AND: nurse adequacy gap < 0,1,
	   Target Fraction Foreign Nurses) *
	       nurse adequacy gap / time to hire foreign nurses + foreign nurse leaving
	~	nurse/Year
	~		|

student in training shortfall=
	indicated students in training - Students in Training
	~	nurse
	~		|

chg in target fract fn=
	(foreign nurse fraction - Target Fraction Foreign Nurses) / time to internalize target fract foreign nurses
	~	1/Year
	~		|

step chg in time to hire foreign nurses=
	step (0,5)
	~	Year
	~		|

ramp chg in Target Nurses=
	RAMP(init Target Nurses * ramp frct chg in Target Nurses, 5, FINAL TIME)
	~	nurse
	~	RAMP(0.08, 5, 30)
	|

target fraction domestic nurses=
	1 - Target Fraction Foreign Nurses
	~	Dmnl
	~		|

frct chg in Target Nurses=
	0.1
	~	Dmnl
	~	1000
	|

step chg in Target Nurses=
	step (frct chg in Target Nurses * init Target Nurses,5)
	~	nurse
	~		|

desired domestic nurses=
	Target Nurses * target fraction domestic nurses
	~	nurse
	~		|

init foreign nurse fraction= INITIAL(
	0.2)
	~	Dmnl
	~		|

Target Fraction Foreign Nurses= INTEG (
	chg in target fract fn,
		init foreign nurse fraction)
	~	Dmnl
	~		|

effect of perceived relative gap on time to hire foreign nurse= WITH LOOKUP (
	Perceived Relative Gap,
		([(-0.1,0.4)-(0.1,1.2)],(-0.1,1),(0,1),(0.00948012,0.929825),(0.0223242,0.82807),(0.0345566\
		,0.698246),(0.0431193,0.621053),(0.0541284,0.564912),(0.069419,0.512281),(0.1,0.5) \
		))
	~	Dmnl
	~		|

chg in perceived relative gap=
	(relative gap - Perceived Relative Gap) / time to perceive relative gap
	~	1/Year
	~		|

relative gap=
	nurse adequacy gap / Target Nurses
	~	Dmnl
	~		|

enrolling=
	max (0, desired enrollment)
	~	nurse/Year
	~		|

switch on desired domestic nurses=
	0
	~	Dmnl [0,1,1]
	~		|

foreign nurse hiring=
	desired foreign nurse hiring
	~	nurse/Year
	~		|

nurse adequacy gap= ACTIVE INITIAL (
	Target Nurses - Nurses,
		0)
	~	nurse
	~		|

ref time to hire foreign nurse=
	1
	~	Year
	~		|

ramp frct chg in Target Nurses=
	0.03
	~	1/Year
	~		|

init Students in Training= INITIAL(
	desired domestic nurses / average employment tenure * time to train )
	~	nurse
	~	(Target_Nurses-Nurses)*time_to_train/(time_to_recruit_student*(1+drop_out_f\
		ract*time_to_train))
	|

Target Nurses=
	init Target Nurses + (switch on ramp chg in Target Nurses * ramp chg in Target Nurses\
		)  + (switch on step chg Target Nurses *  step chg in Target Nurses)
	~	nurse
	~		|

init Domestic Nurses= INITIAL(
	(1 - init foreign nurse fraction) * init Target Nurses)
	~	nurse
	~	Nurses * (1-foreign_nurse_fraction)
		(gap * average employment tenure) / (time to adjust training capacity 0 * \
		(1+drop out fract * time to train))
	|

init Foreign trained Nurses= INITIAL(
	init foreign nurse fraction * init Target Nurses)
	~	nurse
	~		|

Perceived Relative Gap= INTEG (
	chg in perceived relative gap,
		relative gap)
	~	Dmnl
	~		|

switch on ramp chg in Target Nurses=
	0
	~	Dmnl
	~		|

dropping out=
	Students in Training * drop out fract
	~	nurse/Year
	~		|

drop out fract=
	0.1
	~	1/Year
	~		|

Nurses=
	Domestic Nurses+Foreign trained Nurses
	~	nurse
	~	Target_Nurses / (1+ ref_relative_gap ) - in equilibrium
	|

Students in Training= INTEG (
	enrolling-dropping out-graduating,
		init Students in Training)
	~	nurse
	~		|

init Target Nurses=
	10000
	~	nurse
	~	12344
	|

switch on step chg Target Nurses=
	0
	~	Dmnl
	~		|

domestic nurse leaving=
	Domestic Nurses/average employment tenure
	~	nurse/Year
	~		|

Domestic Nurses= INTEG (
	graduating-domestic nurse leaving,
		init Domestic Nurses)
	~	nurse
	~		|

foreign nurse fraction=
	Foreign trained Nurses/Nurses
	~	Dmnl
	~		|

foreign nurse leaving=
	Foreign trained Nurses/work visa duration
	~	nurse/Year
	~		|

Foreign trained Nurses= INTEG (
	foreign nurse hiring-foreign nurse leaving,
		init Foreign trained Nurses)
	~	nurse
	~		|

graduating=
	Students in Training/time to train
	~	nurse/Year
	~		|

time to train=
	3
	~	Year
	~		|

********************************************************
	.Control
********************************************************~
		Simulation Control Parameters
	|

FINAL TIME  = 30
	~	Year
	~	The final time for the simulation.
	|

INITIAL TIME  = 0
	~	Year
	~	The initial time for the simulation.
	|

SAVEPER  = 
        TIME STEP
	~	Year [0,?]
	~	The frequency with which output is stored.
	|

TIME STEP  = 0.03125
	~	Year [0,?]
	~	The time step for the simulation.
	|

\\\---/// Sketch information - do not modify anything except names
V300  Do not put anything below this section - it will be ignored
*View 1
$192-192-192,0,Times New Roman|12||0-0-0|0-0-0|0-0-255|-1--1--1|-1--1--1|96,96,100,0
10,1,Students in Training,403,170,40,20,3,3,0,0,0,0,0,0
10,2,Domestic Nurses,633,163,40,20,3,3,0,0,0,0,0,0
10,3,Foreign trained Nurses,581,860,51,20,3,131,0,0,0,0,0,0
12,4,48,160,165,10,8,0,3,0,0,-1,0,0,0
1,5,7,1,4,0,0,22,0,0,0,-1--1--1,,1|(319,170)|
1,6,7,4,100,0,0,22,0,0,0,-1--1--1,,1|(214,170)|
11,7,48,266,170,8,8,37,3,0,0,1,0,0,0
10,8,enrolling,266,189,27,11,40,3,0,0,-1,0,0,0
1,9,11,2,4,0,0,22,0,0,0,-1--1--1,,1|(564,169)|
1,10,11,1,100,0,0,22,0,0,0,-1--1--1,,1|(481,169)|
11,11,908,528,169,8,8,37,3,0,0,1,0,0,0
10,12,graduating,528,188,33,11,40,3,0,0,-1,0,0,0
12,13,48,249,865,10,8,0,3,0,0,-1,0,0,0
1,14,16,3,4,0,0,22,0,0,0,-1--1--1,,1|(464,863)|
1,15,16,13,100,0,0,22,0,0,0,-1--1--1,,1|(321,863)|
11,16,48,390,863,8,8,37,3,0,0,1,0,0,0
10,17,foreign nurse hiring,390,880,64,9,40,3,0,0,-1,0,0,0
12,18,48,912,168,10,8,0,3,0,0,-1,0,0,0
1,19,21,18,4,0,0,22,0,0,0,-1--1--1,,1|(841,168)|
1,20,21,2,100,0,0,22,0,0,0,-1--1--1,,1|(719,168)|
11,21,48,773,168,8,8,37,3,0,0,1,0,0,0
10,22,domestic nurse leaving,773,185,75,9,40,3,0,0,-1,0,0,0
12,23,48,918,860,10,8,0,3,0,0,-1,0,0,0
1,24,26,23,4,0,0,22,0,0,0,-1--1--1,,1|(847,863)|
1,25,26,3,100,0,0,22,0,0,0,-1--1--1,,1|(701,863)|
11,26,48,779,863,8,8,37,3,0,0,1,0,0,0
10,27,foreign nurse leaving,779,880,69,9,40,3,0,0,-1,0,0,0
10,28,time to train,576,109,42,11,8,3,0,0,0,0,0,0
10,29,average employment tenure,859,111,81,19,8,3,0,0,0,0,0,0
1,30,29,21,0,0,0,0,0,64,0,-1--1--1,,1|(811,142)|
1,31,28,11,0,0,0,0,0,64,0,-1--1--1,,1|(555,135)|
1,32,1,11,1,0,0,0,0,64,0,-1--1--1,,1|(455,138)|
1,33,2,21,1,0,0,0,0,64,0,-1--1--1,,1|(708,142)|
10,34,work visa duration,825,934,71,9,8,3,0,0,0,0,0,0
1,35,34,27,0,0,0,0,0,64,0,-1--1--1,,1|(806,912)|
10,36,Nurses,945,435,24,11,8,3,0,0,0,0,0,0
10,37,Target Nurses,330,475,54,11,8,2,0,1,0,0,0,0,128-128-128,0-0-0,|12||255-0-0
10,38,nurse adequacy gap,475,458,50,19,8,3,0,0,0,0,0,0
1,39,37,38,1,0,0,0,0,64,0,-1--1--1,,1|(392,493)|
1,40,3,27,1,0,0,0,0,64,0,-1--1--1,,1|(676,905)|
10,41,init Domestic Nurses,1742,177,70,9,8,3,0,0,0,0,0,0
10,42,init Foreign trained Nurses,1735,243,80,19,8,3,0,0,0,0,0,0
10,43,init Students in Training,1751,307,80,9,8,3,0,0,0,0,0,0
1,44,43,1,0,0,0,0,0,64,1,-1--1--1,,1|(1063,237)|
1,45,42,3,0,0,0,0,0,64,1,-1--1--1,,1|(1165,547)|
1,46,41,2,0,0,0,0,0,64,1,-1--1--1,,1|(1179,170)|
10,47,foreign nurse fraction,880,587,71,9,8,3,0,0,0,0,0,0
1,48,36,47,1,0,0,0,0,64,0,-1--1--1,,1|(933,521)|
1,49,3,47,1,0,0,0,0,64,0,-1--1--1,,1|(804,767)|
10,50,ramp chg in Target Nurses,1320,283,83,19,8,3,0,0,0,0,0,0
10,51,frct chg in Target Nurses,1551,196,54,19,8,3,0,0,0,0,0,0
10,52,step chg in Target Nurses,1517,281,80,19,8,3,0,0,0,0,0,0
10,53,switch on step chg Target Nurses,1426,340,59,19,8,3,0,0,0,0,0,0
10,54,init Target Nurses,1739,366,60,11,8,3,0,0,-1,0,0,0
12,55,48,404,289,10,8,0,3,0,0,-1,0,0,0
1,56,58,55,4,0,0,22,0,0,0,-1--1--1,,1|(403,264)|
1,57,58,1,100,0,0,22,0,0,0,-1--1--1,,1|(403,210)|
11,58,48,403,239,8,8,37,3,0,0,4,0,0,0
10,59,dropping out,454,239,43,11,40,3,0,0,-1,0,0,0
1,60,1,58,1,0,0,0,0,64,0,-1--1--1,,1|(384,205)|
10,61,drop out fract,557,220,48,11,8,3,0,0,0,0,0,0
1,62,2,36,1,0,0,0,0,64,0,-1--1--1,,1|(878,324)|
1,63,3,36,1,0,0,0,0,64,0,-1--1--1,,1|(923,710)|
1,64,61,59,1,0,0,0,0,64,0,-1--1--1,,1|(510,245)|
12,65,0,1742,134,84,18,3,135,0,4,-1,0,0,0,-1--1--1,192-255-255,|12||0-0-0
Initialization
12,66,0,1413,139,84,18,3,135,0,4,-1,0,0,0,-1--1--1,192-128-192,|12||0-0-0
Test Variables
10,67,ref time to hire foreign nurse,190,822,75,19,8,3,0,0,0,0,0,0
10,68,time to hire foreign nurses,392,767,59,19,8,131,0,0,0,0,0,0
10,69,effect of perceived relative gap on time to hire foreign nurse,214,700,127,19,8,3,0,0,0,0,0,0
10,70,FINAL TIME,1749,522,55,11,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128
10,71,time to adjust training capacity,123,264,85,19,8,3,0,0,0,0,0,0
1,72,69,68,1,0,0,0,0,64,0,-1--1--1,,1|(264,762)|
1,73,67,68,0,0,0,0,0,64,0,-1--1--1,,1|(290,794)|
1,74,70,50,0,1,0,0,0,64,0,-1--1--1,,1|(1548,409)|
10,75,Perceived Relative Gap,197,595,59,27,3,131,0,0,0,0,0,0
1,76,75,69,1,0,0,0,0,64,0,-1--1--1,,1|(192,647)|
10,77,time to perceive relative gap,100,441,51,19,8,3,0,0,0,0,0,0
12,78,48,195,446,10,8,0,3,0,0,-1,0,0,0
1,79,81,75,4,0,0,22,0,0,0,-1--1--1,,1|(195,541)|
1,80,81,78,100,0,0,22,0,0,0,-1--1--1,,1|(195,476)|
11,81,48,195,506,8,8,37,3,0,0,2,0,0,0
10,82,chg in perceived relative gap,115,506,52,19,40,3,0,0,-1,0,0,0
1,83,36,38,1,1,0,0,0,64,0,-1--1--1,,1|(704,479)|
10,84,switch on ramp chg in Target Nurses,1429,399,69,19,8,3,0,0,0,0,0,0
10,85,ramp frct chg in Target Nurses,1199,210,56,19,8,3,0,0,0,0,0,0
1,86,51,52,0,0,0,0,0,64,0,-1--1--1,,1|(1536,232)|
1,87,36,38,1,0,0,0,0,64,0,-1--1--1,,1|(615,381)|
10,88,desired foreign nurse hiring,550,680,47,19,8,3,0,0,0,0,0,0
1,89,68,88,1,0,0,0,0,64,0,-1--1--1,,1|(458,692)|
1,90,38,88,1,0,0,0,0,64,0,-1--1--1,,1|(545,569)|
1,91,88,16,1,0,0,0,0,64,0,-1--1--1,,1|(482,804)|
1,92,77,82,0,0,0,0,0,64,0,-1--1--1,,1|(106,466)|
10,93,desired enrollment,249,323,57,11,8,3,0,0,0,0,0,0
1,94,38,93,1,0,0,0,0,64,0,-1--1--1,,1|(358,343)|
1,95,71,93,0,0,0,0,0,64,0,-1--1--1,,1|(189,294)|
1,96,93,8,1,0,0,0,0,64,0,-1--1--1,,1|(238,230)|
1,97,26,88,1,1,0,0,0,64,0,-1--1--1,,1|(695,759)|
10,98,relative gap,371,548,37,11,8,3,0,0,0,0,0,0
1,99,37,98,1,0,0,0,0,64,0,-1--1--1,,1|(344,514)|
1,100,38,98,1,0,0,0,0,64,0,-1--1--1,,1|(439,518)|
1,101,98,81,1,0,0,0,0,64,0,-1--1--1,,1|(238,542)|
1,102,98,75,0,0,0,0,0,64,1,-1--1--1,,1|(302,566)|
10,103,init foreign nurse fraction,1736,577,52,19,8,3,0,0,0,0,0,0
1,104,103,42,0,0,0,0,0,64,1,-1--1--1,,1|(1735,416)|
1,105,54,42,0,0,0,0,0,64,1,-1--1--1,,1|(1737,315)|
1,106,103,41,0,0,0,0,0,64,1,-1--1--1,,1|(1738,378)|
1,107,54,41,0,0,0,0,0,64,1,-1--1--1,,1|(1739,277)|
1,108,58,93,1,1,0,0,0,64,0,-1--1--1,,1|(332,230)|
10,109,Target Fraction Foreign Nurses,729,604,59,27,3,131,0,0,0,0,0,0
1,110,109,88,1,0,0,0,0,64,0,-1--1--1,,1|(692,642)|
12,111,48,741,434,10,8,0,3,0,0,-1,0,0,0
1,112,114,109,4,0,0,22,0,0,0,-1--1--1,,1|(739,543)|
1,113,114,111,100,0,0,22,0,0,0,-1--1--1,,1|(739,468)|
11,114,48,739,502,8,8,37,3,0,0,2,0,0,0
10,115,chg in target fract fn,692,502,39,19,40,3,0,0,-1,0,0,0
1,116,109,114,1,0,0,0,0,64,0,-1--1--1,,1|(763,546)|
1,117,47,114,1,0,0,0,0,64,0,-1--1--1,,1|(793,511)|
10,118,time to internalize target fract foreign nurses,832,448,75,19,8,3,0,0,0,0,0,0
1,119,118,114,0,0,0,0,0,64,0,-1--1--1,,1|(779,478)|
1,120,103,109,0,0,0,0,0,64,1,-1--1--1,,1|(1242,589)|
10,121,desired domestic nurses,283,400,54,19,8,3,0,0,0,0,0,0
1,122,37,121,1,0,0,0,0,64,0,-1--1--1,,1|(284,439)|
1,123,121,93,1,0,0,0,0,64,0,-1--1--1,,1|(241,371)|
1,124,2,93,0,1,0,0,0,64,0,-1--1--1,,1|(441,242)|
10,125,switch on desired domestic nurses,1433,461,56,19,8,3,0,0,0,0,0,0
1,126,125,93,0,1,0,0,0,64,0,-1--1--1,,1|(848,392)|
1,127,75,82,1,0,0,0,0,64,0,-1--1--1,,1|(120,553)|
1,128,29,43,0,0,0,0,0,64,1,-1--1--1,,1|(1318,211)|
1,129,22,93,0,1,0,0,0,64,0,-1--1--1,,1|(521,251)|
1,130,121,43,0,0,0,0,0,64,1,-1--1--1,,1|(997,354)|
1,131,28,43,0,0,0,0,0,64,1,-1--1--1,,1|(1150,205)|
10,132,target fraction domestic nurses,591,480,51,19,8,3,0,0,0,0,0,0
1,133,109,132,1,0,0,0,0,64,0,-1--1--1,,1|(657,516)|
1,134,132,93,1,0,0,0,0,64,0,-1--1--1,,1|(473,346)|
1,135,132,121,1,0,0,0,0,64,0,-1--1--1,,1|(460,373)|
1,136,85,50,0,0,0,0,0,64,0,-1--1--1,,1|(1253,242)|
10,137,init Target Nurses,1407,187,68,14,8,130,0,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128
1,138,137,50,0,0,0,0,0,64,0,-1--1--1,,1|(1370,227)|
1,139,137,52,0,0,0,0,0,64,0,-1--1--1,,1|(1453,226)|
10,140,step chg in time to hire foreign nurses,1437,594,66,19,8,3,0,0,0,0,0,0
1,141,140,77,0,1,0,0,0,64,0,-1--1--1,,1|(767,517)|
1,142,140,68,0,1,0,0,0,64,0,-1--1--1,,1|(917,679)|
10,143,switch for faster downside adjustment,683,744,67,19,8,3,0,0,0,0,0,0
1,144,143,88,0,0,0,0,0,64,0,-1--1--1,,1|(622,714)|
10,145,student in training shortfall,315,262,55,19,8,3,0,0,0,0,0,0
1,146,1,145,1,0,0,0,0,64,0,-1--1--1,,1|(320,221)|
10,147,indicated students in training,110,121,57,19,8,3,0,0,0,0,0,0
1,148,121,147,1,0,0,0,0,64,0,-1--1--1,,1|(56,281)|
1,149,29,147,1,0,0,0,0,64,0,-1--1--1,,1|(392,77)|
1,150,28,147,1,0,0,0,0,64,0,-1--1--1,,1|(341,99)|
1,151,147,145,1,0,0,0,0,64,0,-1--1--1,,1|(159,200)|
1,152,145,93,1,0,0,0,0,64,0,-1--1--1,,1|(267,298)|
10,153,supply line switch,512,298,55,11,8,3,0,0,0,0,0,0
1,154,153,93,1,0,0,0,0,64,0,-1--1--1,,1|(338,298)|
10,155,domestic nurse fraction,1023,657,48,19,8,3,0,0,0,0,0,0
1,156,47,155,0,0,0,0,0,64,0,-1--1--1,,1|(934,613)|
10,157,chg in time to internalize TFFN,1435,536,54,19,8,3,0,0,0,0,0,0
1,158,157,118,0,1,0,0,0,64,0,-1--1--1,,1|(1150,494)|
10,159,chg in time to adjust training capactiy,1442,665,64,19,8,3,0,0,0,0,0,0
1,160,159,71,0,1,0,0,0,64,0,-1--1--1,,1|(789,466)|
///---\\\
:GRAPH Target_Nurses_and_Nurses
:TITLE Target Nurses and Nurses
:SCALE
:VAR Target Nurses
:Y-MIN 9900
:Y-MAX 11200
:DATASET step incr TN gap
:VAR Nurses
:DATASET decr tatc gap
:VAR Nurses
:DATASET incr tatc gap

:GRAPH Nurse_Adequacy_Gap__Enrolling__Graduating_and_Foreign_Nurse_Hiring
:TITLE Nurse Adequacy Gap, Enrolling, Graduating and Foreign Nurse Hiring
:SCALE
:VAR nurse adequacy gap
:Y-MIN -200
:Y-MAX 1100
:DATASET step incr TN ddn
:SCALE
:VAR enrolling
:Y-MIN 0
:Y-MAX 1100
:DATASET step incr TN ddn
:VAR graduating
:DATASET step incr TN ddn
:VAR foreign nurse hiring
:DATASET step incr TN ddn

:GRAPH Enrolling
:TITLE Enrolling
:SCALE
:VAR enrolling
:Y-MIN 300
:Y-MAX 840
:DATASET step incr TN
:VAR enrolling
:DATASET Policy

:GRAPH New_Policy
:TITLE New Policy
:SCALE
:VAR Target Nurses
:Y-MIN 9800
:Y-MAX 11300
:DATASET Policy
:VAR Nurses
:DATASET Policy
:VAR Nurses
:DATASET step incr TN with ddn

:GRAPH Nurse_Adequacy_Gap
:TITLE Nurse Adequacy Gap
:SCALE
:VAR nurse adequacy gap
:Y-MIN -300
:Y-MAX 1050
:DATASET step incr TN
:VAR nurse adequacy gap
:DATASET Policy

:GRAPH Foreign_Nurse_Fraction
:TITLE Foreign Nurse Fraction
:SCALE
:VAR foreign nurse fraction
:Y-MIN 0.18
:Y-MAX 0.27
:DATASET Equilibrium gap
:VAR foreign nurse fraction
:DATASET decr tthfn gap
:VAR foreign nurse fraction
:DATASET incr tthfn gap

:GRAPH Foreign_Trained_Nurses_and_Hiring
:TITLE Foreign Trained Nurses and Hiring
:SCALE
:VAR desired foreign nurses
:Y-MIN 1000
:Y-MAX 2300
:DATASET Policy
:VAR Foreign trained Nurses
:DATASET Policy
:SCALE
:VAR foreign nurse hiring
:Y-MIN 600
:Y-MAX 900
:DATASET Policy

:GRAPH Target_Foreign_Nurse_Fra
:TITLE Target Foreign Nurse Fraction and Foreign Nurse Fraction
:SCALE
:VAR Target Fraction Foreign Nurses
:Y-MIN 0.19
:Y-MAX 0.24
:DATASET Policy
:VAR foreign nurse fraction
:DATASET Policy
:VAR foreign nurse fraction
:DATASET step incr TN gap

:GRAPH Nurse_Adequacy_Gap__Enrolling_and_Foreign_Nurse_Hiring
:TITLE Nurse Adequacy Gap, Enrolling and Foreign Nurse Hiring
:SCALE
:VAR nurse adequacy gap
:Y-MIN -200
:Y-MAX 1100
:DATASET step incr TN gap
:SCALE
:VAR enrolling
:DATASET step incr TN gap
:VAR foreign nurse hiring
:DATASET step incr TN gap

:GRAPH Desired_Domestic_Nurses_
:TITLE Desired Domestic Nurses and Domestic Nurses
:SCALE
:VAR desired domestic nurses
:Y-MIN 7800
:Y-MAX 9000
:DATASET Policy
:VAR Domestic Nurses
:DATASET Policy
:VAR Domestic Nurses
:DATASET step incr TN gap

:GRAPH Desired_Domestic_Nurses__0
:TITLE Desired Domestic Nurses and Domestic Nurses
:SCALE
:VAR desired domestic nurses
:Y-MIN 7800
:Y-MAX 9000
:DATASET step incr TN gap
:VAR Domestic Nurses
:DATASET step incr TN gap
:L<%^E!@
1:Equilibrium gap.vdf
9:Equilibrium gap
15:0,0,0,0,0,0
19:100,0
27:2,
34:0,
4:Time
5:Foreign trained Nurses
35:Date
36:YYYY-MM-DD
37:2000
38:1
39:1
40:2
41:0
24:0
25:30
26:30